15, 16, 17 and 18 July 2013 SOAS, University of London ... · Ilir Jusufi, Andreas Kerren, Björn Zimmer Linnaeus University, Sweden, ISOVIS Group Edge Bundling by Rapidly-Exploring

iV2013 - 17th International Conference Information Visualisation

15, 16, 17 and 18 July 2013 SOAS, University of London ● London ● UK ● http://www.graphicslink.co.uk/IV2013/

Venue ~ http://www.soas.ac.uk/

© Time-pie visualization: Providing contextual information for

energy consumption data

© Masoodian, Masood; Endrass, Birgit; Bühling, René; Ermolin,

Pavel; André, Elisabeth

T h e B O O K A B S T R A C T S

http://www.graphicslink.co.uk/IV2013/

http://www.soas.ac.uk/

LONDON ● UK

MACAU ● CHINA

© Matthew Cox ~ Tomorrow will get better

iV2013 & cgiv2013 - DIGITAL ART GALLERY Online Exhibition July 2013- June 2014

V I R T U A L G A L L E R Y V E N U E

www.g raph ic s l i nk .c o .uk /DART.h tm

Exhibiting Artists: Angela Ferraiolo

Anna Chupa

Bogdan Soban

Cody Gallagher

Dena Elisabeth Eber

Dorothy Aceves

Elizabeth Cooper

Elizabeth Cornell

Emily Schleiner

Emily Shapiro

Gabriele Peters

Gloria DeFilipps Brush

Harvey Goldman

Herve Lehning

Hillary Hia

Jennifer Gottlieb

Jing Ziou

Jocelyn Gurland

John Corbett

John Labadie

Joohyun Jung Pyune

Lane Last

Leslie Lockyer

Leslie Nobler Farber

Lindsay Alexander

Logan McGee

Margie Labadie

Matthew Cox

Mohammad Majid al-Rifaie

Philip Sanders

Raymond St. Arnaud

Richard Hopper

Safioulline Maxim

Santiago Echeverry

Sarawut Chutiwongpeti

Terry Trickett

Anna Ursyn

Vladimir Geroimenko

Yuqing Ye

© Joohyun Jung Pyune ~ Before Me

iV2013_Doctoral Research Workshop

iV2013-FORUM - ii

6 t h D o c t o r a l R e s e a r c h W o r k s h o p I n f o r m a t i o n V i s u a l i s a t i o n

Organised by

Information Visualisation Society

In cooperation with

Visualisation & Graphics Research Unit, LSBU

The Information Visualisation Society (IVS) is an international organization that aims to provide a foundation for integrating the human-centred, technological and strategic aspects of information visualisation in order to promote international exchange, cooperation and development. Building upon the reported success of last year’s workshop, IVS is pleased to

announce the “6th Doctoral Research Workshop” which will run as part of the 16th International Conference on Information Visualisation (iV2013).

Doctoral Research workshop This workshop focuses on the issues that doctoral students face during their studies and includes following interactive

sessions: Introduction to “What is a PhD? “ from panel members

A short tutorial on one of the key aspects that PhD issues Case studies - Presentation of number of case studies from PhD students candidates to the workshop with aim that

highlights the issues that facing in the course of their studies.

Expert panel feedback - Each presentation is followed by discussion and suggestion not only from panem members but from fellow researchers.

Expert tips on individual PhD student presentation and research.

iV2013_Show Case

iV2013-FORUM - iii -52-

6 t h I n f o r m a t i o n V i s u a l i s a t i o n S H O W C A S E

Organised by

Visualisation & Graphics Research Unit, LSBU

The SHOWCASE is a cooperative process for the presentation and discussion of your software, ideas and research.

The objective of the SHOWCASE is to provide delegates with the opportunity to present their work in a truly meaningful

manner. This event provides presenters with the opportunity to proactively engage with a range of delegates from Academia and Industry in the broad field of Information Visualization.

Authors of posters, accepted for publication in the Book of Abstracts, will be offered a flexible format for display. Additionally, authors of full papers, accepted for publication in the IEEE published Conference Proceedings, may prefer to present their

work during the SHOWCASE event, as opposed to the traditional oral presentation.

For example

You may want to do a traditional poster display.

You may want to give a demonstration of your software using a laptop.

You can even bring your own equipment and do something entirely different.

Just let us know what you require and we will discuss these arrangements with you directly.

Showcase Interaction During the SHOWCASE interaction will be pro-actively supported. During the session, presenters will be able to request one or more of the following interaction opportunities

1. Usability study: We can arrange for another iV2013 delegate to visit you in order to participate in a usability

evaluation

2. Peer-to-Peer feedback: We can arrange for a relevant conference programme committee member or delegate to

visit you and provide you with feedback

iV2013_Show Case

iV2013-FORUM - iv -52-

© Robert Fathauer

Tessellations Company

This tree was constructed by graphically iterating a photographic building block created from

photographs of some twigs from a palo verde tree. Modification of the original photographs to

allow seamless joining of smaller and larger copies of the building block, and the 15 iterations

involved in the construction process, were performed.

3. Expert tips: We can arrange for one of our Experts to visit you briefly during the SHOWCASE event

Additional Benefits Delegates who have the opportunity to present their work via the SHOWCASE event present their work to all iV2013

delegates.

The SHOWCASE is a unique single track event scheduled mid-way through the Conference, over a two-hour

session.

Showcase Exhibitors: Applying 3D Dynamic Visualisation to (Palaeo) Geomorphic Reconstruction: Modelling a Tenth Century Jökulhlaup at Sólheimajökull Glacier, South Iceland Booth, Laura M; Isaacs, John P University of Dundee, UK

Visual Search And Processing for Lexeme and Morpheme Constructs Lin, Hsin Hsin NFOTECH Research & Consultancy, Singapore

Visual Clustering for Large Scale Commercial Enterprises Dhot, Tarundeep; Charkhabi, Masoud Canadian Imperial Bank of Commerce, Canada

Trans medium methodology ,Interdependency of medium and meaning production Fazel, Maryam Sheffield university

iV2013_ PROGRAMME

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Monday 15 July 2013

10:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer>

Registration

10:30

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13:0

< SOAS - The Brunei Gallery ● B211 > Doctoral Research Workshop Chairs: Banissi, Prof. Ebad, London South Bank University, UK Subject Liasing Committee chairs: John Counsell

10.00 Registration

10.3 0 Opening & Welcome from discussion Panel members

10:45 Panel member contribution on Doctoral issue < Research Proposal & Research Questions>

11:00 Doctoral Researcher Contribution:

12:30 Panel member Discussion < Literature Review>

13:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer>

Lunch Break

14:00

-

17:00

< SOAS - The Brunei Gallery ● B211 >

Doctoral Research Workshop

14.00 Panel member contribution on Doctoral issue < Research Methodology>


15:10 Panel Discussion < Writing Research Thesis>

15:30 Break


16:45 Panel Discussion < The assessment>

17:00 Close

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10:00

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17:00

< SOAS - The Brunei Gallery ● B204>

Information Visualization – A course Prof. Bob Spence, Imperial College London, UK

ABSTRACT Bob Spence is the author of one of the two (equally) most popular textbooks on information visualization. His one-day course is directed, not at researchers, but rather to two groups of people. One group comprises students who come to information visualization for the first time: they can come from any discipline, especially since no knowledge of computer science or mathematics is required. The other group potentially interested in the course comprises those who have to teach the subject and who wish to see one approach to that task. Biography

Bob Spence has been conducting research into Human-computer Interaction, and information visualization in particular, since 1968. He regularly presents an updated course on information visualization every year at Imperial College London, the Technical University of Eindhoven in The Netherlands and, from 2013, Madeira University (Portugal). Bob is a Fellow of the Royal Academy of Engineering.

10:00 Registration 10:30 Morning session 11:30 Break 12:00 Late Morning session 13:00 Lunch Break 14:00 Afternnon session 15:15 Break 15:45 Late Afternoon session 17:00 Finish

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Tuesday 16 July 2013

09:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer> Registration

10:15 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre > Opening & Welcome Subject Liasing Committee chairs: Prof. Francis T. Marchese, Pace University, USA Prof. Gilles Venturini, University Francois Rabelais of Tours, France

Dr. Hanane Azzag, University of Paris 13, France

10:30 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre> Session iV2013_1.1: Information Visuaisation Chair: Prof. Bob Spence, Imperial College London, UK < keynote Lecture >

Geovisual Analytics with integrated Storytelling applied to Business Intelligence

Prof. Mikael Jern, NCVA/MIT Linkoping University, Sweden (former CEO and Director NComVA) < keynote Lecture >

Machine Analysis of Facial Behaviour

Prof. Maja Pantic, Imperial College London, Computing Dept., UK

11:35 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer > Break

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12:00

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13:00

< SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre > Session iV2013_1.2: Information Visualisation Chair: Prof. Randolph George Goebel, University of Alberta, Canada

Matching Application Requirements with Dynamic Graph Visualization Profiles

Fabian Beck1, Michael Burch1, Stephan Diehl2 1VISUS, University of Stuttgart, Germany; 2University of Trier, Germany

Multivariate Network Exploration with JauntyNets

Ilir Jusufi, Andreas Kerren, Björn Zimmer

Linnaeus University, Sweden, ISOVIS Group

Edge Bundling by Rapidly-Exploring Random Trees

Michael Burch, Hansjoerg Schmauder, Daniel Weiskopf

VISUS, Germany

13:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer > Lunch Break

14:15

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15:30

< SOAS - The Brunei Gallery ● B202 > Session iV2013_1.3: Information Visualisation - Theory & Techniques - I Chair: Prof. Chris Culy, University of Tuebingen, Germany

System Log Visualization Adopting Variable Recommendation and Feature-Based Filtering

Aki Hayashi1, Takayuki Itoh1, Satoshi Nakamura2 1Ochanomizu University, Japan; 2Meiji University, Japan

Force-Directed Parallel Coordinates

Rick Walker1, Philip Alexander Legg2, Serban Pop1, Zhao Geng1, Robert S Laramee2, Jonathan C Roberts1 1School of Computer Science, Bangor University, UK; 2School of Computer Science, Swansea University, UK

Prefix Tag Clouds

Michael Burch, Steffen Lohmann, Daniel Pompe, Daniel Weiskopf

University of Stuttgart, Germany

Radial Layered Matrix Visualization of Dynamic Graphs

Corinna Vehlow, Michael Burch, Hansjörg Schmauder, Daniel Weiskopf


< SOAS - The Brunei Gallery ● B211 > Session GMAI2013_1.4: Geometric Modeling & Imaging Chair: Dr. David Bednarek, Charles University in Prague, Czech Republic A new approach for 3D craniometric measurements using 3D skull models

Paulo Dias1, Daniel Santos1, Danilo Souza1, Helder Santos2, Catarina Coelho2, Maria Teresa Ferreira2, Eugénia Cunha3, Beatriz Sousa Santos1 1Department of Electronics Telecommunications and Informatics, IEETA, University of Aveiro, Portugal; 2Grupo Dryas Octopetala, Coimbra, Portugal;3CENCIFOR – Forensic Sciences Center, University of Coimbra, portugal

Cave chamber data modeling and 3D Web visualization

José Inácio Jesus Rodrigues1,2,4, Ivo Silvestre1, Mauro Figueiredo1,2,4, Cristina Veiga-Pires1,2,3 1University of Algarve, Portugal; 2Centro de Investigacao Marinha e Ambiental – CIMA; 3Faculdade de Ciências e Tecnologia – Universidade do Algarve;4Instituto Superior de Engenharia – Universidade do Algarve

Surface Modeling Using Partial Differential Equations: A Survey

Lihua You1, Xiaogang Jin2, Xiangyu You3, Jian J. Zhang4 1Bournemouth University, United Kingdom; 2Zhejiang University, China; 3Coventry University, United Kingdom; 4Bournemouth University, United Kingdom

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15:20


Session IV2013_1.5: Knowledge Visualization and Visual Thinking Chair: Prof. Martin J. Eppler, University of St.Gallen, Switzerland

Visual Support for Project and Portfolio Management Manuela Rauch1, Wolfgang Kienreich1, Gerald Aquila2, Vedran Sabol1 1Know-Center GmbH, Austria; 2Onepoint Software GmbH, Austria

Visualizing conceptual relations in legal terminology Chris Culy1, Elena Chiocchetti2, Natascia Ralli2 1University of Tuebingen, Germany; 2European Academy Bolzano, Italy

An Experimental Evaluation on the Impact of Visual Facilitation Modes on Idea Generation in Teams Martin J. Eppler1, Heidi Forbes Öste2, Sabrina Bresciani1 1University of St. Gallen, Switzerland; 2The Art of Social Strategy, a division of 2BalanceU AB, Malmö, Sweden

10 Years after Tufte’s “Cognitive Style of PowerPoint”: Synthesizing its Constraining Qualities Sebastian Kernbach1, Sabrina Bresciani2 1University of Lugano, Switzerland; 2University of St. Gallen, Switzerland


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15:50

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17:00

< SOAS - The Brunei Gallery ● B202 > > Session iV2013_1.6: Information Visualisation – Applications Chair: Dr Richard Brath, Oculus Info Inc., USA

Combining Scientific and Information Visualization Artifacts for Complex System Diagnosis

Adrian Rusu1, Radu Jianu2 1Rowan University, U.S.A.; 2Florida International University, U.S.A.

Low-dimensional Parallel Coordinates Collection for High-dimensional Data Visualization

Haruka Suematsu1, Zheng Yunzhu1, Takayuki Itoh1, Ryohei Fujimaki2, Satoshi Morinaga3, Yoshinobu Kawahara4 1Ochanomizu University, Japan; 2NEC Laboratories, America; 3NEC, Japan; 4Osaka University, Japan

A Matrix-Based Visualization for Exploring Dynamic Compound Digraphs

Michael Burch, Benjamin Schmidt, Daniel Weiskopf

VISUS, Germany

< short paper > A Linked Visualization of Trajectory and Flow Quantity to Support Analysis of People Flow Fukute Aya1, Onishi Masaki2, Itoh Takayuki1 1Ochanomizu University, Japan; 2National Institute of Advanced Industrial Science and Technology, Japan

< SOAS - The Brunei Gallery ● B211 > Session GMAI2013_1.7: Geometric Modeling & Imaging Chair: Prof. Carlos Ferreira, University of Aveiro, Portugal

Novel Approach for Surface to Surface Intersection Approximation

Muhammad Sarfraz1, Misbah Irshad2 1Kuwait University, Kuwait; 2Punjab University, Pakistan

Robust and Sparse RGBD Data Registration of Scene Views

abdenour amamra, nabil aouf

cranfield university, United Kingdom

A bi-phase model of folding Origami interactively with gap representation

Mariko Sasakura1, Kengo Tanaka1, Emika Yamashita1, Hiroyuki Tanabe2, Takeshi Kawakami2 1Okayama University, Japan; 2I. P. System Inc.

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15:50

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17:00


Session Vis2013_1.8: Visualization, Art, and Design Chair: Prof. Vladimir Geroimenko, Plymouth University, UK

Virtues and Vices: Examples of Medieval Knowledge Visualization

Francis T. Marchese

Pace University, United States of America

A mathematical look to the world

Hervé Lehning

www.lehning.eu, France

Magic Squares and Aesthetic Events

Hans Eberhard Dehlinger1, Fang You

2, Jian Ming Wang

3, Ming Jiao

3

1University of Kassel, School of Art, Germany;

2School of Communication and Design, Sun Yat-sen University, Guangzhou, China;

3School of Software, Sun Yat-sen University, Guangzhou,

China

17:00

< SOAS - The Brunei Gallery ● ## > Session iV2013_1.9: Animation, Special Effects and Multimedia Show Chair: Bannatyne, Prof. Mark, IUPUI, USA

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Wednesday 17 July 2013 09:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer >

Registration

09:30

-

11:15

< SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre > Session iV2013_2.1: Information Visualisation – Theory & Techniques Chair: Prof. Vladimir Geroimenko, Plymouth University, UK

Text Visualization_Expressive Materials and Diverse Approaches

Hyoyoung Kim

Chung-Ang University, Korea, Republic of (South Korea)

Evaluating MoodPic – A Concept for Collaborative Mood Music Playlist Creation

Arto Juhani Lehtiniemi1, Jarno Ojala

2 <presenter:

Harri Siirtola> 1Nokia Research Center, Finland;

2Tampere University of Technolory, Finland

Voronoi-Based Label Placement for Metro Maps

Hsiang-Yun Wu1, Shigeo Takahashi1, Chun-Cheng Lin2, Hsu-Chun Yen3 1The University of Tokyo, Japan; 2National Chiao Tung University, Taiwan; 3National Taiwan University, Taiwan

Time-pie visualization: Providing contextual information for energy consumption data

Masood Masoodian1, Birgit Endrass2, René Bühling2,3, Pavel Ermolin2, Elisabeth André2 1The University of Waikato, Hamilton, New Zealand; 2Augsburg University, Germany; 3University of Applied Sciences, Augsburg, Germany

Interactive Curriculum Visualization

Harri Siirtola, Kari-Jouko Räihä, Veikko Surakka

University of Tampere, Finland


Session Viz2013_2.2: Co-operative Design Visualisation Chair: Prof. Francis T. Marchese, Pace University, USA

Colored Mosaic Matrix: Visualization Technique for High-Dimensional Data

Hiroaki Kobayashi1, Kazuo Misue2, Jiro Tanaka2 1Department of Computer Science, University of Tsukuba; 2Faculty of Engineering, Information and Systems, University of Tsukuba

Web3DGIS for city models with CityGML and X3D

José Inácio Jesus Rodrigues1,2, Mauro Figueiredo1,2, Celso P. Costa1 1University of Algarve, Portugal; 2Centro de Investigação Marinha e Ambiental, Portugal

The Effect of Stereoscopic Immersive Environments on Projection-based Multi-dimensional Data Visualization

Ronak Etemadpour1, Eric Monson2, Lars Linsen1 1Jacobs University, Bremen, Germany; 2Duke University, Durham, NC, USA.

Developing a Novel Approach for 3D Visualisation of Tarland

Chen Wang, David Miller, Yang Jiang, Jane Morrice

The James Hutton Institute, UK

< short paper > Comparison of Advanced and Standard Real-Time 3D Rendering Methods for Interactive Landscapes Vladeta Stojanovic, Ruth Falconer, John Isaacs, David Blackwood, Daniel Gilmour

< poster > Applying 3D Dynamic Visualisation to (Palaeo) Geomorphic Reconstruction: Modelling a Tenth Century Jökulhlaup at Sólheimajökull Glacier, South Iceland

Laura M Booth, John P Isaacs

School of Environment, University of Dundee, UK

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09:30

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11:15

< SOAS - The Brunei Gallery ● B204 > Session iV2013_2.3: Multimedia Chair: John Counsell, Cardiff Metropolitan University, UWIC, UK

An Interactive Virtual Environment for Teaching “Triangulations and Coordinates Calculations” to Surveying Students

NIcoletta Adamo-Villani, Hazar Dib, Stephen Garver

Purdue University, United States of America

Effectiveness of Note-taking Content Features on Test Scores in Online Courses

Minoru Nakayama1, Kouichi Mutsuura2, Hiroh Yamamoto1 1Tokyo Institute of Technology, Japan; 2Shinshu University, Japan

UAV Sensor Operator Training Enhancement through Heat Map Analysis

Ashish Amresh, John Femiani, Jason Fairfield, Adam Fairfield

Arizona State University, United States of America

< short paper > Effectiveness of Note-taking Content Features on Test Scores in Online Courses Minoru Nakayama1, Kouichi Mutsuura2, Hiroh Yamamoto1 1Tokyo Institute of Technology, Japan; 2Shinshu University, Japan

< short paper > Using a Serious Game Approach to Teach ‘Operator Precedence’ to Introductory Programming Students NIcoletta Adamo-Villani, Robb Cutler, Thomas Haley-Hermiz, Andrew Cutler

Purdue University, United States of America

< short paper > A Process of Seamlessly Replacing CG Elements into Live-action Footage Jin Zhi

University of Dundee, United Kingdom

< SOAS - The Brunei Gallery ● B211 > Session Vis2013_2.4 : Advances in Interactive and Visual Data Clustering Chair: Dr. Hanane Azzag, University of Paris 13, France

A new measure for group outliers detection and visualization

Amine Chaibi, Mustapha Lebbah, Hanane Azzag

University of Paris 13, France

An Interactive, Example-Based, Visual Clustering System

Pierrick Bruneau, Benoit Otjacques

CRP - Gabriel Lippmann, Luxembourg

Nonlinear dimensionality reduction for cluster identification in metagenomic samples

Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba

Bielefeld University, Germany

A Mixed-Initiative Approach to Visualizing Overlapping Communities

Martijn A. de Jongh, Patrick M. Dudas

University of Pittsburgh, United States of America

< short paper > Cluster coloring of the Self-Organizing Map: An information visualization perspective Peter Sarlin, Samuel Rönnqvist

Åbo Akademi University, Turku Centre for Computer Science − TUCS, Finland

< short paper > Visualisation of association rules based on a molecular representation

zohra ben said, GUILLET, Fabrice; RICHARD, Paul; PICAROUGNE, Fabien; BLANCHARD, Julien

LIUM, France


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11:45

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13:00

< SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre > Session iV2013_2.5: Visualisation Chair: Prof. Mikael Jern, Linköping Univirsity, Sweden < keynote lecture > Visual Analysis of Financial Data Eugene Sorenson Visual Applications & Bloomberg Launchpad, Bloomberg LP, New York, USA

< panel papers >

Knowledge Visualization for Social Entrepreneurs

Sabrina Bresciani, Martin J. Eppler

University of St. Gallen, Switzerland

The role of direct manipulation of visualizations in the development and use of multi-level knowledge models

Randolph George Goebel

University of Alberta, Canada

13:00 < SOAS - The Brunei Gallery ● ## > Lunch Break

13:15

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14:15

< LONDON - SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer >

Session iV2011_2.6: POSTER – SHOW CASE Chair: John Counsell, Cardiff Metropolitan University, UWIC, UK

Applying 3D Dynamic Visualisation to (Palaeo) Geomorphic Reconstruction: Modelling a Tenth Century Jökulhlaup at Sólheimajökull Glacier, South Iceland

Booth, Laura M; Isaacs, John P

University of Dundee, UK

Visual Search And Processing for Lexeme and Morpheme Constructs Lin, Hsin Hsin

NFOTECH Research & Consultancy, Singapore



http://www.graphicslink.co.uk/IV2013/keynotes.htm#eugeneTalk

http://www.graphicslink.co.uk/IV2013/keynotes.htm#eugene

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< SOAS - The Brunei Gallery ● B202 > Session iV2013_2.7: Information Visualisation - Application

Chair: Prof. Gilles Venturini, University Francois Rabelais of Tours, France

A Typology for Data Visualization on the Web

Ana Raquel Figueiras

FCSH - Universidade Nova de Lisboa, Portugal

How to model a customized visualization

Mohamed Mouine, Guy Lapalme

Université de Montreal, Canada

Pianola - Visualization of Multivariate Time-Series Security Event Data

Alistair Thomson2, Martin Graham1, Jessie Kennedy1 1Edinburgh Napier University; 2ECS Security Ltd

Finding Research Communities and their Relationships by Analyzing the Co-authorship Network

Carolina de Figueiredo Bento1, Hideaki Takeda2 1Instituto Superior Técnico - TagusPark, Portugal; 2National Institute of Informatics - Tokyo, Japan

< SOAS - The Brunei Gallery ● B204 > Session iV2013_2.8: Application of Graph Theory Chair: Dr. Adrian Rusu, Rowan University, USA

One Graph, Multiple Drawings

Maurin NADAL, Guy MELANCON

CNRS UMR 5800 LaBRI, France

Extending the H-Tree Layout Pedigree: An Evaluation

João Miguel Santos1, Beatriz Sousa Santos1,2, Paulo Dias1,2, Samuel Silva1,2, Carlos Ferreira3,4 1Department of Electronics Telecommunications and Informatics, Aveiro University, Portugal; 2IEETA / Institute of Electronics Engineering and Telematics of Aveiro, Portugal; 3Department of Economics, Management and Industrial Engineering, Aveiro University, Portugal; 4Operational Research Centre (CIO), Lisbon University, Portugal

Shortest Path Approach to Edge Routing

Jiri Dokulil1, Jana Katreniakova2, David Bednarek3 1University of Vienna, Vienna, Austria; 2Comenius University, Bratislava, Slovakia; 3Charles University, Prague, Czech Republic

Initial Positioning Method for Online and Real-time Dynamic Graph Drawing of tme varying data

Aki Hayashi, Tatsushi Matsubayashi, Takahide Hoshide, Tadasu Uchiyama

NTT Service Evolution Laboratories, NTT Corporation, Japan

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< SOAS - The Brunei Gallery ● B211> Session iV2013_2.9: Chair: Dr. Amalia Rusu, Fairfield University, USA

< short paper > Emotions, worlds and colors: a strategies to visualize and analyze patterns from visitors narratives in museums Patrizia Schettino

< poster > Trans medium methodology ,Interdependency of medium and meaning production Maryam Fazel

Sheffield university, United Kingdom

< poster > Visual Search And Processing for Lexeme and Morpheme Constructs Hsin Hsin Lin

INFOTECH Research & Consultancy, Singapore

< short paper > Categorisation of Audience Relationship between Action and Visualisation in Interactive Art Installations Je-ho Oh, Chung-kon Shi

KAIST, Korea, Republic of (South Korea)


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15:45

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Session iV2013_2.10: Business Intelligence Chair: Fatma Bouali, University of Lille 2, France

3D and immersive interfaces for Business Intelligence: the case of OLAP

Sébastien Lafon1, Fatma Bouali1,2, Christiane Guinot1, Gilles Venturini1 1University Francois Rabelais of Tours, France; 2University of Lille 2, France

Parallel Coordinates Technique in Visual Data Mining: Advantages, Disadvantages, and Combinations

Alfredo Cuzzocrea1, Davood Zall2 1ICAR-CNR and University of Calabria, Italy; 2Polytechnique Montréal, Canada

Visual and interactive exploration of a large collection of Open Datasets

Tianyang Liu1, Durdana Bangash Ahmed1, Fatma Bouali1,2, Gilles Venturini1 1University Francois Rabelais of Tours, France; 2University of Lille 2, France

< poster > Visual Clustering for Large Scale Commercial Enterprises

Tarundeep Dhot, Masoud Charkhabi

Canadian Imperial Bank of Commerce, Canada, Canada


Session iV2013_2.11: Visualisation Chair: Dr. Mustapha Lebbah, Université Paris 13, France

Augmented Reality on Construction Sites using a Smartphone-Application

Kim Kirchbach

Karlsruhe Institute of Technology (KIT), Germany

Artistic Visualisation of Practical Information Using Augmented Reality

Vladimir Geroimenko

Plymouth University, United Kingdom

A reference image generation method for marker-less AR

Satoshi Yonemoto

Kyushu Sangyo University, Japan

Laplacian Musculoskeletal Deformation for Patient-Specific Simulation and Visualisation

Youbing Zhao1, Gordon J. Clapworthy1, Josef Kohout2, Feng Dong1, Yubo Tao1,3, Hui Wei1, Nigel McFarlane1 1University of Bedfordshire, United Kingdom; 2Department of Computer Science & Engineering, University of West Bohemia, Plzeň, Czech Rep.; 3State Key Lab. of CAD&CG, Zhejiang University, Hangzhou, China

Visualization of Individuals Characterized by a Set of Synchronized Signals

Jiri Anyz, Olga Stepankova

Department of Cybernetics, Czech technical University, Czech Republic

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15:45

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< SOAS - The Brunei Gallery ● B211 > Session iV2013_2.12: Information Visualization Chair: Dr. Harri Siirtola, University of Tampere, FI

PRISMA-MDE – Information visualization Environment for Multiple Display.

Roberto Yuri da Silva Franco1, Bianchi Serique Meiguins1, Aruanda Simões Meiguins2 1Federal University of Para, Brazil; 2Rede de Informática

Visualization of Multidimensional Sensor Data in Industrial Engineering

Stephen Kimani1, Mariano Leva2, Massimo Mecella2, Tiziana Catarci2 1Jomo Kenyatta University (JKUAT), Kenya; 2SAPIENZA University of Rome, Italy

Using clustering to improve decision trees visualization

Olivier Parisot, Yoann Didry, Thomas Tamisier, Benoît Otjacques

Centre de Recherche Public Gabriel Lippmann, Luxembourg

Coordinating Multiple Views using an Ontology-based Semantic Mapping

Jorge Marques Prates, Lilian Passos Scatalon, Rogério Eduardo Garcia, Danilo Medeiros Eler

UNESP – Universidade Estadual Paulista “Júlio de Mesquita Filho”, Brazil

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18:30

–

21:30

Visualisation Social Networking Event EEvveenniinngg CCrruuiissee oonn TThhee RRiivveerr TThhaammeess

A view from The River Thames, a leisurely cruise capturing a panoramic view of the London skyline, a unique blend of modernity interwoven seamlessly into forms and shades of history and culture of one of the world grand capital cities, which cannot be missed. An evening cruise on the river Thames has been organised for the conference delegates. Detail of this cruise is as follows:

Scheduled: Wenesday 17th July 2013

Time: 18:30 (sharp) Embarking Pier: Westminster Pier Underground Stations: : Westminster

Boat: Salient Type of Function: Thames River Cruise with buffet Duration: 18:30 - 22:00

iV2013_ PROGRAMME

iV2013-FORUM - xx

Thursday 18 July 2013

09:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer > Registration

09:30

-

11:15

< SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre >

Session iV2013_3.1: Business Intelligence Chair: Alfredo Cuzzocrea, ICAR-CNR & University of Calabria, Italy

Analysis and Visualization of Research Collaboration Pattern of an Institute through Social Network Analysis Perspective

Alok Pokharel1, Hideaki Takeda2 1Asian Institute of Technology, Thailand; 2National Institute of Informatics, Japan

A Visualization Architecture for Collaborative Analytical and Data Provenance Activities

Aqeel Al-Naser1, Masroor Rasheed1, Duncan Irving2, John Brooke1 1The University of Manchester, United Kingdom; 2Teradata Corp.

Geovisual Analytics and Storytelling Using HTML5

Patrik Lundblad, Mikael Jern

Linköping University, Sweden

Current Work Practice and Users’ Perspectives on Visualization and Interactivity in Business Intelligence

Wolfgang Aigner

Vienna University of Technology, Austria

Visual Analysis of Complex Networks for Business Intelligence with Gephi

Sébastien Heymann1, Bénédicte Le Grand2 1LIP6 - CNRS - Université Pierre et Marie Curie, France; 2CRI - Université Paris 1 Panthéon – Sorbonne

Visual Data-Driven Profiling of Green Consumers

Annika H. Holmbom, Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Barbro Back

TUCS-Turku Centre for Computer Science, Department of Information Technologies, Åbo Akademi University, Finland

< SOAS - The Brunei Gallery ● B204 > Session iV2012_3.2: Information Visualisation – Application - II Chair: Dr. Adrian Rusu, Rowan University, USA

A Multilingual Handwriting Approach to CAPTCHA

Amalia Rusu1, Steve Mislich2, Lukas Missik3, Benjamin Schenker4 1Fairfield University, United States of America; 2Greenville College, United States of America; 3Harvard University, United States of America; 4Cooper Union, United States of America

Defining Visual User Interface Design Recommendations for Highway Traffic Management Centres

Margit Pohl1, Johanna Haider1, Peter Fröhlich2 1Vienna University of Technology, Austria; 2FTW-Forschungszentrum Telekommunikation Wien

Financial Visualization Case Study: Correlating Financial Timeseries and Discrete Events to Support Investment Decisions

Richard Brath, Eugene Sorenson

Bloomberg LP, United States of America

EyeC: Coordinated Views for Interactive Visual Exploration of Eye-tracking Data

Gordan Ristovski1, Mathew Hunter2, Bettina Olk2, Lars Linsen1 1School of Engineering and Science, Jacobs University, Bremen, Germany; 2School of Humanities and Social Science, Jacobs University, Bremen, Germany

< short paper > Visualizing Time-Varying Topics via Images and Texts for Inter-Media Analysis Masahiko Itoh, Masashi Toyoda, Masaru Kitsuregawa

The University of Tokyo, Japan

iV2013_ PROGRAMME

iV2013-FORUM - xxi

09:30

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11:15


Session iV2012_3.3: Visual Analytics Chair: Prof. Randolph George Goebel, University of Alberta, Canada

Graph-based Relational Data Visualization

Daniel Mario Lima, Jose Fernando Rodrigues Jr, Agma Juci Machado Traina

ICMC, Brazil

Using Otsu's Threshold Selection Method for Eliminating Terms in Vector Space Model Computation

Danilo Medeiros Eler, Rogério Eduardo Garcia

UNESP, Univ Estadual Paulista, Brazil

Toward Visual Analytics of Unlinked Documents by Textual Analysis and Network Visualization

Buntarou Shizuki1, Hiroshi Hosobe2 1University of Tsukuba, Japan; 2Hosei University, Japan

< short paper > Extracting Hidden Information and Conclusions in Software Testing via Distributed Relational Visual Mining Walaa Akram Al Mashad, Ahmed Shawky moussa, Akram salah

faculty of computers and information, Cairo University, Egypt

< short paper > Trend Analysis Tool with Simultaneous Visualization of Rank and Value Saori Okubo1, Tomoya Iwakura2, Kazuo Misue3 1Graduate School of Systems and Information Engineering, University of Tsukuba, Japan; 2Fujitsu Laboratories Ltd., Japan; 3Faculty of Engineering, Information and Systems, University of Tsukuba, Japan


11:45

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13:00

< SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre > Session iV2013_3.4: Information Visualisation Chair: Prof. Frank T. Marchese, Pace University, USA < keynote Lecture >

Automatic generation of visualization like human’s ones

Dr David Auber

University of Bordeaux I, France

< keynote Lecture >

Smart Cities, Realtime Data, Augmented Reality and The Internet of Things: Towards the Geography of Everything Dr Andrew Hudson-Smith Director and Reader in Digital Urban Systems, Centre for Advanced Spatial Analysis, University College London, UK

iV2013_ PROGRAMME

iV2013-FORUM - xxii

13:00 < SOAS - The Brunei Gallery ● Brunei Gallery Lecture Theatre Foyer >

Lunch Break

13:30

< SOAS - The Brunei Gallery ● meeting room > Society of Information Visualisation Committee & iV2014 - Committee Members Meeting

14:30 Close

14:30

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16:30

iV2013_ Special Interest Group: < more details shortly >

iV2013_ ABSTRACT

Session iV2013_1.1: Information Visuaisation Chair: Prof. Bob Spence, Imperial College London, UK

< keynote Lecture > Geovisual Analytics with integrated Storytelling applied to Business Intelligence

Mikael Jern NCVA/MIT Linkoping University, Sweden (former CEO and Director NComVA)

With the growing amounts of data being captured, processed and analyzed by companies in the open and big data era, sophisticated geovisual analytics and discovery tools are required to get better understanding about the context from sales management to customer feedback for business users. There is a pressing need in identifying adequate visualization methods for analysing these data and extracting relevant knowledge.

Geovisual analytics stresses a key role in business intelligence (BI) in that visual representations including map layers is the most effective means to convey information to human’s mind and prompt human cognition and reasoning. Storytelling technology is also becoming a critical component to be integrated into BI applications. Time-spatial and multivariate visualization can drive important decisions if the BI teams can make sure that they can actually get the raw business data into the appropriate format.

Geovisual analytics tools query data visually and as a result is highly interactive and iterative enabling users to drag and drop metrics, dimensions and attributes onto a visualization canvas and instantaneously view results in graphical form using a variety of chart types that the discovery tools suggest based on the shape of the data. By empowering BI users with visual tools and easy access to data, they can find patters, distributions, correlations or anomalies across multiple data types.

The presentation gives an overview of how to integrate geovisual analytics tools and storytelling into a BI system for exploring BI data for selected application tasks. The work of the methods is illustrated using several examples of real-world and typical BI datasets. We analyse to what extent these existing methods cover the requirement, identify the remaining gaps, and outline the directions for the future research.

Bio-sketch 1970-1976, Prof Jern worked with Professor Hertz at University of Lund. Together they invented the Colour Graphics System based on the first ink jet plotter for raster based visualisation software in the world. 1980, he founded UNIRAS addressing industry with a more general-purpose raster graphics approach. UNIRAS became a world leading supplier of Visual Data Analysis. Jern coordinated several EC projects in the domain of knowledge-based information visualization and also consulted with the EC Commission as a technical expert. He has published more than 200 technical papers and books in visual computing and visualization application areas. SIGGRAPH 1993, he was elected "pioneer of computer graphics" based on his breaking new ground research together with Hertz in raster graphics. 1999, he was appointed professor in

information visualization at Linkoping University. His latest research interest includes cutting-edgegeovisual analytics methods with storytelling. 2008, he founded Swedish National Centre for Visual Analytics http://ncva.itn.liu.se with partners Unilever, SMHI, OECD, Ericsson, Statistics Sweden andEurostat. His research in geovisual analytics and embraced by OECD are acknowledged through many scientific papers and invited presentations. In 2010, his entrepreneurship leads to the second spin-off company NComVA (http://ncomva.com ), today a world leader in interactive data visualization software.NComVA was acquired by QlikTech in May 2013. He also recognized as one of the 100 most important founders in the Swedish IT revolution between 1950-1980 at http://www.tekniskamuseet.se/1/261.html .

< keynote Lecture > Machine Analysis of Facial Behaviour

Maja Pantic

Imperial College London, Computing Dept., UK

Facial behaviour is our preeminent means to communicating affective and social signals. This talk discusses a number of components of human facial behavior, how they can be automatically sensed and analysed by computers, what is the past research in the field conducted by the iBUG group at Imperial College London, and how far we are from enabling computers to understand human facial behavior.

http://ncva.itn.liu.se/

http://ncomva.com/

http://www.tekniskamuseet.se/1/261.html

iV2013_ ABSTRACT

Bio-sketch

Maja Pantic received the M.S. and PhD degrees in

computer science from Delft University of Technology, the Netherlands, in 1997 and 2001. From 2001 to 2005, she was an Assistant and then an Associate professor at Delft University of Technology, Computer Science Department. In 2006, she joined the Imperial College London, Department of Computing, UK, where she is Professor of Affective & Behavioural Computing and the Head of the iBUG group, working on machine analysis of human non-verbal behaviour. From November 2006, she also holds an appointment as the Professor of Affective & Behavioural Computing at the University of Twente, Computer Science Department, the Netherlands.

In 2007, for her research on Machine Analysis of Human Naturalistic Behavior (MAHNOB), she received European Research Council Starting Grant (ERC StG) as one of 2% best junior scientists in any research field in Europe. She is also the Scientific Director of the large European project on Social Signal Processing. In 2011, Prof. Pantic received BCS Roger Needham Award, awarded annually to a UK based researcher for a distinguished research contribution in computer science within ten years of their PhD. She is the Editor in Chief of the Image and Vision Computing Journal (IVCJ/ IMAVIS), Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics (IEEE TSMC-B), Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligenve (IEEE TPAMI), and a member of the Steering Committee of the IEEE Transactions on Affective Computing. She is an IEEE Fellow. Prof. Pantic is one of the world's leading experts in the research on machine understanding of human behavior including vision-based detection, tracking, and analysis of human behavioral cues like facial expressions and body gestures, and multimodal analysis of humanbehaviors like laughter, social signals, and affective states. She is also one of the pioneers in design and development of fully automatic, affect-sensitive human-centered anticipatory interfaces, built for humans based on human models. She has published more than 150 technical papers in the areas of machine analysis of facial expressions and emotions, machine analysis of human body gestures, and human-computer interaction. Her work is widely cited and has more than25 popular press coverage (including New Scientist, BBC Radio, and NL TV 1 and 3). See also: http://ibug.doc.ic.ac.uk/~maja/ ; http://ibug/home

Session iV2013_1.2: Information Visualisation Chair: Prof. Randolph George Goebel, University of Alberta, Canada

Matching Application Requirements with Dynamic Graph Visualization Profiles Fabian Beck1, Michael Burch1, Stephan Diehl2 1VISUS, University of Stuttgart, Germany;

2University of Trier, Germany

Mapping a dynamic graph dataset to an inappropriate visualization leads to a degradation of visualization performance at some task. To tap the full potential of existing dynamic graph visualization techniques, we propose a methodology for matching application requirements with dynamic graph visualization profiles. We target at supporting experts choosing the right visualization technique. Our methodology describes both the application requirements and the visualization techniques as profiles covering important aesthetic criteria for visualizing dynamic graphs. Characteristics of the graph and task are used to derive the application profile. The probably most appropriate visualization technique is the one whose profile matches best the required application profile. We compile exemplary visualization profiles for representatives of dynamic graph visualization approaches and demonstrate the methodology in a case study.

Multivariate Network Exploration with JauntyNets Ilir Jusufi, Andreas Kerren, Björn Zimmer

Linnaeus University, Sweden, ISOVIS Group

The amount of data produced in the world every day implies a huge challenge in understanding and extracting knowledge from it. Much of this data is of relational nature, such as social networks, metabolic pathways, or links between software components. Traditionally, those networks are represented as node-link diagrams or matrix representations. They help us to understand the structure (topology) of the relational data. However in many real world data sets, additional (often multidimensional) attributes are attached to the network elements. One challenge is to show these attributes in context of the underlying network topology in order to support the user in further analyses. In this paper, we present a novel approach that extends traditional force-based graph layouts to create an attribute-driven layout. In

https://mail.lsbu.ac.uk/owa/redir.aspx?C=cSFNSVF2oUaqiMWV-jnBZQAGVqh5188I6XZx2WVt1iyhz9lDbK9IURv5m5zm8eA51oW8EpI51gg.&URL=http%3a%2f%2fibug.doc.ic.ac.uk%2f%7emaja%2f

https://mail.lsbu.ac.uk/owa/redir.aspx?C=cSFNSVF2oUaqiMWV-jnBZQAGVqh5188I6XZx2WVt1iyhz9lDbK9IURv5m5zm8eA51oW8EpI51gg.&URL=http%3a%2f%2fibug%2fhome

iV2013_ ABSTRACT

addition, our prototype implementation supports interactive exploration by introducing clustering and multidimensional scaling into the analysis process.

Edge Bundling by Rapidly-Exploring Random Trees Michael Burch, Hansjoerg Schmauder, Daniel Weiskopf

VISUS, Germany

We introduce a technique for bundling edges in graphs where a hierarchical organization of the vertices is not available. Instead of applying traditional time-complex force-directed edge bundling, we adopt the concept of Rapidly-Exploring Random Trees (RRTs). We use RRTs for fast computation of a hierarchical space organization that is independent of the spatial structure of a graph layout. Due to this independency, edge bundling can be applied to any graph layout and even allows us to define spatial obstacles through which no bundles may lead. Furthermore, when adding or removing graph nodes and edges on-the-fly, the bundling structure remains stable, which cannot be guaranteed for force-directed bundling. The main benefit of RRT bundling is its high efficiency, supporting interactive features. We rely on the low runtime complexity for a novel interactive feature for visual clutter reduction in node-link diagrams that we refer to as the RRT edge bundling lens.

Session iV2013_1.3: Information Visualisation - Theory & Techniques - I Chair: Prof. Chris Culy, University of Tuebingen, Germany

System Log Visualization Adopting Variable Recommendation and Feature-Based Filtering Aki Hayashi1, Takayuki Itoh1, Satoshi Nakamura2 1Ochanomizu University, Japan;

2Meiji University, Japan

Analysis and monitoring of system logs such as transaction logs and access logs is important for various objectives including trend discovery, update effort determination, and malicious behavior monitoring. However, it is not always an easy task because these logs may be massive, consisting of millions of records containing tens of variables, and therefore it may be difficult or time-consuming to discover significant knowledge. This paper presents a visual analytics tool which enables us to effectively observe system logs. The tool recommends variables that can reveal interesting

discoveries and provides feature-based filtering that selects meaningful items from the visualization results. This paper also presents the result of experiments for non-professional users.

Force-Directed Parallel Coordinates Rick Walker1, Philip Alexander Legg2, Serban Pop1, Zhao Geng1, Robert S Laramee2, Jonathan C Roberts1 1School of Computer Science, Bangor University, UK;

2School of Computer

Science, Swansea University, UK

Parallel coordinates are a well-known and valuable technique for the analysis and visualization of high dimensional data sets. However, while Inselberg emphasizes that the strength of parallel coordinates as a methodology is rooted in exploration and interactivity, the set of interaction techniques is currently limited. Axes can be re-ordered and brushing (simple, angular or multi-dimensional) can be performed. In this paper, we propose a force-directed algorithm and related interaction techniques to support the exploration of parallel coordinate plots through a physical metaphor. Our parallel-coordinates visualization offers novel user interaction beyond the standard techniques by allowing the user to rotate the axis according to force-directed polylines. The new interaction provides the user with a more immersive experience for data exploration that results in greater intuition of the data, especially in cases where many polylines overlap. We demonstrate our approach, then present the results of a qualitative evaluation of the system.

Prefix Tag Clouds Michael Burch, Steffen Lohmann, Daniel Pompe, Daniel Weiskopf University of Stuttgart, Germany

Tag clouds are a popular way to visually represent word frequencies. However, one major limitation is that they do not relate different word forms but treat every form as an individual tag. This results not only in a non-efficient use of screen space but, in particular, leaves the viewer with no indication whether there are other forms of a word or not. To overcome this limitation, we introduce prefix tag clouds: a visualization technique that uses a prefix tree to group different word forms and visualizes the subtrees as tag cloud. The grouping is emphasized by color, while the relative frequencies of

iV2013_ ABSTRACT

the word forms are indicated by font size. A circular tag cloud layout supports the quick identification of the most frequent words and word forms. We show the usefulness and scalability of the approach for a large dataset of paper titles from the computer science bibliography DBLP.

Radial Layered Matrix Visualization of Dynamic Graphs

Corinna Vehlow, Michael Burch, Hansjörg Schmauder, Daniel Weiskopf


We propose a novel radial layered matrix visualization for dynamic directed weighted graphs in which the vertices can also be hierarchically organized. Edges are represented as color-coded arcs within the radial diagram. Their positions are defined by polar coordinates instead of Cartesian coordinates as in traditional adjacency matrix representations: the angular position of an edge within an annulus is given by the angle bisector of the two related vertices; the radial position depends linearly on the angular distance between these vertices. The exploration of time-varying relational data is facilitated by aligning graph patterns radially. Furthermore, our approach incorporates several interaction techniques to explore dynamic patterns such as trends and countertrends. The usefulness is illustrated by two case studies analyzing large dynamic call graphs acquired from open source software projects.

Session GMAI2013_1.4: Geometric Modeling & Imaging Chair: David Bednarek, Charles University in Prague, Czech Republic

A new approach for 3D craniometric measurements using 3D skull models

Paulo Dias1, Daniel Santos1, Danilo Souza1, Helder Santos2, Catarina Coelho2, Maria Teresa Ferreira2, Eugénia Cunha3, Beatriz Sousa Santos1 1Department of Electronics Telecommunications and Informatics, IEETA,

University of Aveiro, Portugal; 2Grupo Dryas Octopetala, Coimbra,

Portugal;3CENCIFOR – Forensic Sciences Center, University of Coimbra,

portugal

This work presents an on-going work on a new approach to perform craniometric analysis based on contactless 3D modelling of skulls. Beside the acquisition process with a 3D range sensor and initial results in the semi-automatic detection of features in the skulls, we also present some results in the development of a 3D interactive interface that eases interaction for users with little experience on digital 3D manipulation. The final objective is to provide an easy to use 3D interface to allow semi-automatic detection of features in skulls. It is our belief that this system might be the first step towards a new methodology for craniometric analysis that can solve several of the actual problems such as repeatability, wide access to skull information or bone damage during measurements.

Cave chamber data modeling and 3D Web visualization

José Inácio Jesus Rodrigues1,2,4, Ivo Silvestre1, Mauro Figueiredo1,2,4, Cristina Veiga-Pires1,2,3 1University of Algarve, Portugal;

2Centro de Investigacao Marinha e

Ambiental – CIMA; 3Faculdade de Ciências e Tecnologia – Universidade do

Algarve;4Instituto Superior de Engenharia – Universidade do Algarve

Underground caves and its specific structures are important for geomorphological studies. In this paper we present tools to identify and map speleothems by surveying cave chambers interiors. The cave chamber was surveyed using Terrestrial Laser Scanning to acquire point clouds with high level of detail for 3D model generation. This data with 45 million points is useful for either reconstruction, geomorphological studies or virtual visits of caves. With this point cloud we generated a 3D-mesh to represent the surface model of the cave chamber, which is important to study its geomorphological features. A topological structure of the 3D-mesh was also implemented to get an efficient algorithm to help identifying stalactites. The possibility to publish 3D data on the Web is of particular interest for the geospatial field. For this reason, it was decided to make the cave model available in the Web by developing a 3D graphical interface where users can navigate and interact with the three-dimensional models of the cave. For this Web3D framework it was used X3D, WebGL and X3DOM. Such solution does not require any additional plug-ins or components.

iV2013_ ABSTRACT

Surface Modeling Using Partial Differential Equations: A Survey

Lihua You1, Xiaogang Jin2, Xiangyu You3, Jian J. Zhang4 1Bournemouth University, United Kingdom;

2Zhejiang University,

China; 3Coventry University, United Kingdom;

4Bournemouth University,

United Kingdom

Partial differential equation-based surface modelling is a new approach of creating and manipulating three-dimensional geometric models. It uses the solution to a vector-valued partial differential equation subjected to suitably defined boundary constraints to carry out surface modeling. This paper provides a survey on this approach which summarizes various mathematical models of partial differential equation-based surface modelling, accurate and approximate analytical solutions as well as numerical solutions of the mathematical models, and the applications of partial differential equation-based surface modelling. It also discusses some future research directions of partial differential equation-based surface modelling.

Session IV2013_1.5: Knowledge Visualization and Visual Thinking Chair: Prof. Martin J. Eppler, University of St.Gallen, Switzerland

Visual Support for Project and Portfolio Management

Manuela Rauch1, Wolfgang Kienreich1, Gerald Aquila2, Vedran Sabol1 1Know-Center GmbH, Austria;

2Onepoint Software GmbH, Austria

Project managers increasingly rely on software support for monitoring status and development of projects gathered in large portfolios. The status of a project is characterized by a large number of mostly numerical parameters. Various chart visualizations are commonly used to express parameters, provide aggregation and support comparison. We propose a visual representation which encodes the parameters defining a project's status into a single project symbol. We also propose to visualize project portfolios by applying a two-dimensional layout to collections of project symbols. The resulting project portfolio visualisations empower users to monitor the progress and status of each project, discover outliers, and identify project groups sharing

Visualizing conceptual relations in legal terminology

Chris Culy1, Elena Chiocchetti2, Natascia Ralli2

1University of Tuebingen, Germany;

2European Academy Bolzano, Italy

Underlying all specialized terminology is a concept system, which is particularly important in the legal domain. However, this concept system is not explicitly available in terminology management systems. We present a tool which analyzes the relations in a terminological database and presents an interactive visualization of those relations.

An Experimental Evaluation on the Impact of Visual Facilitation Modes on Idea Generation in Teams

Martin J. Eppler1, Heidi Forbes Öste2, Sabrina Bresciani1 1University of St. Gallen, Switzerland;

2The Art of Social Strategy, a division

of 2BalanceU AB, Malmö, Sweden

In this study we examine the effect of visual facilitation mode on perceived team creativity and satisfaction, as well as on idea diversity. In an experimental study with 73 real-life managers, we have compared three facilitation conditions for team-based business model innovation sessions: graphic facilitation with a fixed poster template, software based facilitation with a visual creativity process, and self-facilitated flip chart sessions. Based on activity theory, we hypothesize that visual groups outperform the control groups. Teams were given one hour to develop novel ideas for the business model of a daily newspaper. The statistical analysis of the survey-based feedback from the participants reveals that facilitation mode has a significant effect on the perceived team process. Specifically, visual approaches seem to increase constructive team work, and – if software supported – also perceived team creativity and process satisfaction. However, analyzing the generated ideas, we did not find differences with regard to idea diversity. Result satisfaction was also not significantly higher in visual groups. Based on these results, we generate a number of possible explanations that can be tested in future studies.

10 Years after Tufte’s “Cognitive Style of PowerPoint”: Synthesizing its Constraining Qualities

Sebastian Kernbach1, Sabrina Bresciani2 1University of Lugano, Switzerland;

2University of St. Gallen, Switzerland

iV2013_ ABSTRACT

PowerPoint is mostly used to visualize knowledge in organizations. It is seemingly simple but a complex tool which is not ‘neutral’ but has enabling and constraining qualities. Despite its pervasiveness, research on PowerPoint is scarce, fragmented and often polemic. Given its omnipresence and importance, a more appropriate understanding of the tool is needed. This paper aims to contribute toward this goal by conducting a literature review on the constraining qualities of PowerPoint in a systematic manner. The results are synthesized into 12 constraining qualities and classified into two levels: the tool itself and the enactment of the tool in the performance. Through the synthesis and description of the constraining qualities and their negative effects, this paper aims to provide guidance to practitioners for the preparation, performance and reception of PowerPoint presentations, with the ultimate goal to select and use this presentation tool more consciously, or to select other tools for knowledge visualization.

Session iV2013_1.6: Information Visualisation – Applications Chair: Richard Brath, Oculus Info Inc., USA

Combining Scientific and Information Visualization Artifacts for Complex System Diagnosis

Adrian Rusu1, Radu Jianu2 1Rowan University, U.S.A.;

2Florida International University, U.S.A.

Methodologies for complex systems diagnosis and verification have long been studied as part of systems engineering research. Most techniques involve decomposing the complex system into smaller connected components, and analyzing those. We describe the implementation and evaluation of a visualization tool which enhances drawings of physical components with information visualization artifacts for analyzing complex systems and their operating capability. Our visualization was designed to help users navigate through complex systems composed of multiple layers of components, identify if the system is ready to complete a task based on availability and performance of its components, and efficiently diagnose system malfunctions. A formal evaluation shows that our visualization tool

enables users to diagnose complex systems faster than using conventional workflows.

Low-dimensional Parallel Coordinates Collection for High-dimensional Data Visualization

Haruka Suematsu1, Zheng Yunzhu1, Takayuki Itoh1, Ryohei Fujimaki2, Satoshi Morinaga3, Yoshinobu Kawahara4 1Ochanomizu University, Japan;

2NEC Laboratories, America;

3NEC,

Japan; 4Osaka University, Japan

Multi-dimensional data visualization is an important research topic that has been receiving increasing attention. Several techniques that use parallel coordinates have been proposed to represent all dimensions of data in a single display space. In addition, several other techniques that apply scatterplot matrices have been proposed to represent multi-dimensional data as a collection of low-dimensional data visualization spaces. Typically, when using the latter approach it is easier to understand relations among particular dimensions, but it is often difficult to observe relations between dimensions separated into different visualization spaces. This paper presents a framework for displaying an arrangement of low-dimensional data visualization spaces that are generated from high-dimensional datasets. Our proposed technique first divides the dimensions of the input datasets into groups of lower dimensions based on their correlations or other relationships. If the groups of lower dimensions can be visualized in independent rectangular spaces, our technique packs the set of low-dimensional data visualizations into a single display space. Because our technique places relevant low-dimensions closer together in the display space, it is easier to visually compare relevant sets of low-dimensional data visualizations. In this paper, we describe in detail how we implement our framework using parallel coordinates, and present several results demonstrating its effectiveness.

A Matrix-Based Visualization for Exploring Dynamic Compound Digraphs

Michael Burch, Benjamin Schmidt, Daniel Weiskopf VISUS, Germany

In this paper we introduce a matrix-based visualization technique for exploring time-varying directed and weighted graphs. Two overview

iV2013_ ABSTRACT

representations are shown, one for the time-aggregated relations attached to quantitative weighted attributes and one for the results of an automatic dynamic pattern generation algorithm, i.e. relations attached by categorical attributes. Apart from a dynamic edge pattern categorization our tool can also compute graph-specific properties such as shortest paths or the existence of cliques and highlights their evolution over time. Furthermore, the visualization tool contains several interactive features to navigate, explore, and browse the data and is based on the Visual Information Seeking Mantra---overview first, zoom and filter, then details-on-demand. If an additional hierarchical organization of the vertices is available this is attached to the matrix by vertical and horizontal layered icicle plots allowing to also explore the data on different levels of hierarchical granularity. The usefulness of the tool is demonstrated by applying it to time-varying migration data in the hierarchically structured world.

< short paper > A Linked Visualization of Trajectory and Flow Quantity to Support Analysis of People Flow

Fukute Aya1, Onishi Masaki2, Itoh Takayuki1 1Ochanomizu University, Japan;

2National Institute of Advanced Industrial

Science and Technology, Japan

We walk various places every day, and the walking path ("trajectory" in this paper) can be measured in many places. Thanks to the research of movie- and sensor-based human tracking, we can obtain and accumulate a set of trajectories of people ("people flow" in this paper) over a long period in various places. Such people flow is useful data, which have potential to be applied to many fields, including customer behavior analysis (CBA), advertisement effectiveness analysis, and operational efficiency analysis. We suppose the datasets of people flow as a set of trajectories and temporal flow quantity. It is important to develop techniques to assist in the discovery new knowledge by analyzing the accumulated people flow datasets, as well as to develop techniques to obtain and accumulate the people flow datasets. Such techniques are especially useful for optimization of institutions and safety manage. This paper proposes a linked visualization system to be

used for analysis of the accumulated datasets of people flow. We can analyze and inspect the datasets using this system, by observing trajectories and flow quantities. Here, trajectory analysis is an indispensable tool to comprehend the movement of people. The system classifies trajectories into several patterns and visualizes them by colors. From this visualization, We can comprehend the overall pattern of movements of people in given space. Another issue is that people flow varies hour-by-hour. Therefore, we expect to discover very interesting phenomena of people flow, for example, the number of visitors in the space can appear more frequent at particular time, by visualizing temporal flow quantity of patterns of trajectories.

Session GMAI2013_1.7: Geometric Modeling & Imaging Chair: Prof. Carlos Ferreira, University of Aveiro, Portugal

Novel Approach for Surface to Surface Intersection Approximation Muhammad Sarfraz1, Misbah Irshad2 1Kuwait University, Kuwait;

2Punjab University, Pakistan

A new technique for approximating intersection curves of two parametric surfaces is presented, which extracts boundary points and turning points from a sequence of intersection points and interpolate them with the help of cubic spline function.

Robust and Sparse RGBD Data Registration of Scene Views

Abdenour Amamra, Nabil Aouf Cranfield university, United Kingdom

This paper proposes a complete strategy to filter, enhance and register 3D point clouds captured by commodity RGBD cameras. Starting from the raw data grabbed from multiple viewpoints, we build a decent scene that gathers all the clouds in one consistent view. The process begins with the innovative

iV2013_ ABSTRACT

adaptation of Kalman filter on Kinect’s output. The resulting point cloud is subject to an outlier removal technique, to eliminate all the disturbing points. Afterwards, a pre-alignment based on 3D features is performed. Finally, the alignment is refined using Iterative Closest Point (ICP) algorithm. The output of this research work is a consistent 3D model which can be directly used in virtual reality applications, or whatever 3D rendering process. Test results on acquired data are presented to validate this approach and to justify the choice of its different proposed modules.

A bi-phase model of folding Origami interactively with gap representation Mariko Sasakura1, Kengo Tanaka1, Emika Yamashita1, Hiroyuki Tanabe2, Takeshi Kawakami2 1Okayama University, Japan;

2I. P. System Inc.

We have developed an origami system in which we can fold a sheet of paper freely. In mathematical model, two held sides of paper can be overlapped flatly. However, in real paper, the sides often make a gap between them because of physical restrictions. In this paper, we discuss how to make such ``gap'' in 3D origami simulation system to make it more realistic. We apply a bi-phase model, which consists of two models. One of them is mathematical model for managing folding, and the other is with gap-model for representing origami with gaps based on the mathematical model. We show origami figures made by the two models and discuss the effect of the method we applied and some problems to be solved.

Session Vis2013_1.8: Visualization, Art, and Design Chair: Prof. Vladimir Geroimenko, Plymouth University, UK

Virtues and Vices: Examples of Medieval Knowledge Visualization

Francis T. Marchese

Pace University, United States of America

The concepts of virtues and vices have a long history. This paper discusses their medieval metaphorical and allegorical representations as examples of knowledge visualizations, and compares them against the criteria put

forward for the use of contemporary knowledge visualizations. It is found that these medieval visualizations exhibit all the essential traits expected of knowledge visualizations, making them not only exemplars of a field, but also documentary evidence of early explorations (research) into visually representing and communicating complex knowledge.

A mathematical look to the world Hervé Lehning www.lehning.eu, France

When using visualisations to explore mathematics, I was seduced by their aesthetics. It led me to see them as a form of art and to start to produce mathematical visualisations just for the sake of it. I began to study the interactions between mathematics and art. At the same time, I discovered that mathematicians have a very special way to look to the world. This paper is an account of my research in the matter.

Magic Squares and Aesthetic Events

Hans Eberhard Dehlinger1, Fang You2, Jian Ming Wang3, Ming Jiao3 1University of Kassel, School of Art, Germany;

2School of Communication

and Design, Sun Yat-sen University, Guangzhou, China; 3School of

Software, Sun Yat-sen University, Guangzhou, China

We consider an approach to generative art which exploits the structure of magic squares as a generative engine. Magic squares are used for image generation by mapping their properties into visual schemes. Our underlying hypothesis is that order in some form can serve as a prerequisite for a particular set of aesthetic events. By resorting to a mathematical structure that is not formulated as a function, but for which an inherent order is present, we reduce the most difficult task in generative art, the design of a generative system, to the much easier task of designing representational schemes for the visualization of number patterns. A set of schemes to achieve this task has been realized within a joint project between programmers and artists. The results of this project are discussed and illustrated.

iV2013_ ABSTRACT

Session iV2013_2.1: Information Visualisation – Theory & Techniques

Chair: Prof. Vladimir Geroimenko, Plymouth University, UK

Text Visualization_Expressive Materials and Diverse Approaches

Hyoyoung Kim Chung-Ang University, Korea, Republic of (South Korea)

Researches on text visualization have been extensively carried out with the development of the computer, the rise of open data based on Open API, and the commodification of visualization tools. Also, text visualization has led to the convergence of different fields, such as science, art, liberal arts, and sociology. Text visualization has a wide range of materials from the form and structure of text to contents text has created, not to mention independent meaning of each text. These materials are deliberately selected in accordance with the object of text visualization: what to express. A diversity of options could be used to achieve this goal. This paper is aimed to examine text data as materials for text visualization, an important part of data visualization, and discuss its types, nature and traits. This paper also explores different text visualization cases to provide a diversified analysis of expressive approaches to text visualization.

Evaluating MoodPic – A Concept for Collaborative Mood Music Playlist Creation

Arto Juhani Lehtiniemi1, Jarno Ojala2 1Nokia Research Center, Finland;

2Tampere University of Technolory,

Finland

This paper studies a MoodPic concept and a prototype implementation enabling collaborative creation of mood picture based musical playlists, evaluated qualitatively with 30 Finnish participants. In general, MoodPic was found to be a successful concept and stated to add novel experiences to music listening. Accessing music through mood pictures was highly appreciated and seen as a good way to discover new music over the genre boundaries and receive music recommendations from real users based on their mood picture interpretation. Sorting music based on mood pictures instead of genres was seen as an interesting and easy way to interact with music. Based on the interview results, this paper introduces several ideas for further improving the music listening experience using mood pictures as a

iV2013_ ABSTRACT

basis for playlists. This paper summarizes the main findings and proposes an extensive set of generalized design implications to take into account when designing solutions for social music discovery.

Voronoi-Based Label Placement for Metro Maps

Hsiang-Yun Wu1, Shigeo Takahashi1, Chun-Cheng Lin2, Hsu-Chun Yen3 1The University of Tokyo, Japan;

2National Chiao Tung University,

Taiwan; 3National Taiwan University, Taiwan

Metro maps with thumbnail photographs are common travel guides for providing sufficient information to meet the requirements of travelers in the cities. However, conventional methods attempt to minimize the total distance between stations and labels while maximizing the number of the labels on an overlap-free map domain rather than further taking into account the overall balance of the annotated domain. This paper presents an entropy-based approach for effectively annotating large annotation labels sufficiently close to the metro stations. Our idea is to decompose the label space into several labeling areas by referring to the regions bounded by the metro lines, and then partition each area into Voronoi cells, which are preserved for the placement of distributed labels proportionally to the entropy of the area. This is accomplished by incorporating a new genetic-based optimization so that a well-balanced distribution of labeling boxes is achieved with a spatially compact partitioning of the map domain. We also include several design examples to demonstrate that the proposed approach successfully embeds large labels to a metro network under minimal user intervention.

Time-pie visualization: Providing contextual information for energy consumption data

Masood Masoodian1, Birgit Endrass2, René Bühling2,3, Pavel Ermolin2, Elisabeth André2 1The University of Waikato, Hamilton, New Zealand;

2Augsburg University,

Germany; 3University of Applied Sciences, Augsburg, Germany

In recent years a growing number of information visualization systems have been developed to assist users with monitoring their energy consumption, with the hope of reducing energy use through more effective user-awareness. Most of these visualizations can be categorized into either some form of a time-series or pie chart, each with their own limitations. These

visualization systems also often ignore incorporating contextual (e.g. weather, environmental) information which could assist users with better interpretation of their energy use information. In this paper we introduce the time-pie visualization technique, which combines the concepts of time-series and pie charts, and allows the addition of contextual information to energy consumption data.

Interactive Curriculum Visualization

Harri Siirtola, Kari-Jouko Räihä, Veikko Surakka University of Tampere, Finland

In curriculum visualization, information visualization techniques are used to communicate the structure and content of a curriculum to the stakeholders, such as students, lecturers, and administrators. Curriculum visualization has recently drawn a lot of interest as there are growing demands to form larger educational units and to find sav- ings by eliminating overlap. We have developed a novel approach to analyse and visualize the contents of a curriculum. Our software tool for curriculum visualization uses a fast heuristic to automatically lay out a curriculum diagram, provides tools to process the content information, and offers several coordinated views to visualize the curriculum contents and overlap. The approach and software tool have already been used successfully in one survey and two others are underway.

Session Viz2013_2.2: Co-operative Design Visualisation Chair: Prof. Francis T. Marchese, Pace University, USA

Colored Mosaic Matrix: Visualization Technique for High-Dimensional Data

Hiroaki Kobayashi1, Kazuo Misue2, Jiro Tanaka2 1Department of Computer Science, University of Tsukuba;

2Faculty of

Engineering, Information and Systems, University of Tsukuba

Due to the displays' limitation in resolution, it is difficult to obtain an overview of high-dimensional data in the area of the display used for visualization. In this paper, we aimed to obtain an overview of high-dimensional data in a limited area of the screen. We developed Colored Mosaic Matrix as a method to obtain an overview of the data. Colored Mosaic Matrix is a

iV2013_ ABSTRACT

visualization method for high-dimensional categorical data, using a color representation of the features. By representing the quantitative data in units of categories, it enables to visualize data that contains a large number of records. As a result of investigating the readability by experiments, we have found our method to be useful in obtaining an overview of the data.

Web3DGIS for city models with CityGML and X3D

José Inácio Jesus Rodrigues1,2, Mauro Figueiredo1,2, Celso P. Costa1 1University of Algarve, Portugal;

2Centro de Investigação Marinha e

Ambiental, Portugal

There is an increasing interest in 3D Geographical Information Systems which leads to the development of web based technologies for visualization, interaction and query of 3D city models.

The Open Geographic Consortium developed the City Geography Markup Language as an industry standard for the modeling of city objects. The web 3D Consortium established the eXtendable 3D standard for display of 3D scenes over the internet. This paper presents a Web3DGIS system that loads a cityGML model and convert it to a X3D model. This model can be viewed in the web. Moreover, it also allows the query about attributes and adjacency relationships of features in GIS data sets. For this Web3DGIS it was used X3D, WebGL and X3DOM. Such solution does not require any additional plug-ins or components.

The Effect of Stereoscopic Immersive Environments on Projection-based Multi-dimensional Data Visualization

Ronak Etemadpour1, Eric Monson2, Lars Linsen1 1Jacobs University, Bremen, Germany;

2Duke University, Durham, NC, USA.

Multi-dimensional data impose a challenge for visual analyses. Commonly, dimensionality reduction techniques are used to project the multi-dimensional data into a 2D visual space. Poco et al. [10] showed that projection into a 3D visual space can increase the performance of common visual analysis tasks due to a higher projection precision. They also backed up their findings with a user study. However, when conducting the user study they displayed the 3D visual space on a 2D screen, which may impede the

correct perception of the third dimension. In this paper, we present a study that investigates the effect of stereoscopic environments when used for the visual analysis of multidimensional data after projection into a 3D visual space. We conducted a controlled user study to compare correctness, timing, and confidence in segregation and precision tasks when performed in stereoscopic immersive environments and on a non-stereoscopic 2D screen. In terms of the stereoscopic immersive environments, we operated on and compared results obtained with two set-ups: a single screen and a six-sided highly immersive system, in both of which interaction was performed with a 3D input device. We investigated whether the stereoscopic immersive environments have an effect depending on the visual encodings using both 3D scatter plots and cluster visualizations in the form of enclosing surfaces or hulls for the visual analysis tasks.

Developing a Novel Approach for 3D Visualisation of Tarland

Chen Wang, David Miller, Yang Jiang, Jane Morrice

The objective of this paper is to report on the development of prototype models for use in raising public awareness of changes in rural areas, focusing on greenspaces, and testing responses to scenarios of change. Specifically, the focus is on the design of appropriate types and speeds of movement of features. This modelling is done using the Maya and ArcGIS software packages together in a novel combination of spatial and visualisation tools. The experiment results show evidence that different types of animation with interactive communication will influence participation and decision making in land use planning.

< short paper > Comparison of Advanced and Standard Real-Time 3D Rendering Methods for Interactive Landscapes

Vladeta Stojanovic, Ruth Falconer, John Isaacs, David Blackwood, Daniel Gilmour

The use of games-based visualisation technology allows for the development of sophisticated interactive 3D decision support tools. Components of these tools are the various real-time rendering methods that are implemented to facilitate the interactive 3D aspect of the visualisations.

iV2013_ ABSTRACT

Modern graphics hardware allows for the implementation of both simple and complex GPU shader programs.

Shaders can be used to compute material and lighting properties that can greatly influence the visual style of a 3D scene.

The research presented here shows that more sophisticated 3D shading methods increase user preference when used to render close up scenes. The research also shows that simpler shading methods can still be used to render distant scenes with less visual details present.

< poster > Applying 3D Dynamic Visualisation to (Palaeo) Geomorphic Reconstruction: Modelling a Tenth Century Jökulhlaup at Sólheimajökull Glacier, South Iceland

Laura M Booth, John P Isaacs

At Sólheimajökull glacier in southern Iceland, field evidence has been collected of a Tenth Century jökulhlaup (or glacial outburst flood). It was an exceptional event in terms of generation, scale, magnitude and geomorphic impact. Although now fragmented and piecemeal, many of its direct (and indirect) geomorphological and sedimentary markers have been identified, mapped and dated to unravel the sequence of events played out during this significant episode in the glacial history.

‘VolcVis’, an innovative, customised visualisation platform using computer gaming technology is developed and applied for the first time in coalescing and displaying field results from Sólheimajökull; creating an interactive, multi-perspective, three-dimensional (3D) prototype model. A visual simulation of Sólheimajökull’s Tenth Century physical environment places the flood into geomorphic and topographic context. This ability to dynamically display and interpret field data presents new possibilities for testing hypotheses, and for data sharing with Icelandic hazard mitigation authorities and the general public.

Session iV2013_2.3: Multimedia Chair: John Counsell, Cardiff Metropolitan University, UWIC, UK

Using a Serious Game Approach to Teach ‘Operator Precedence’ to Introductory Programming Students

NIcoletta Adamo-Villani, Robb Cutler, Thomas Haley-Hermiz, Andrew Cutler Purdue University, United States of America

In this paper we describe the design, development, formative evaluation and initial findings of one level of a serious game whose objective is to teach Information Assurance concepts to undergraduate students in introductory programming courses. The game level focuses on the concept of ‘operator precedence’. The player travels through a multilevel 3-dimensional maze and at each junction in the maze he/she is required to solve a mathematical problem that involves the application of operator precedence rules. A correct answer allows the player to move closer to the maze exit, an incorrect solution moves the player farther from the end of the maze. Initial findings from a formative study with a group of 14 undergraduate students show that the game level is usable, engaging and useful for learning/reviewing the intended programming concept

Effectiveness of Note-taking Content Features on Test Scores in Online Courses

Minoru Nakayama1, Kouichi Mutsuura2, Hiroh Yamamoto1 1Tokyo Institute of Technology, Japan;

2Shinshu University, Japan

The lexical features of notes taken during blended and fully online courses were analysed to improve learning activity, as the contents of notes can be used to facilitate course evaluation. The lexical contents of student's notes was used to analyse the note taking behaviour in both blended and fully online courses. Features such as the number of terms, the word ratios of student's notes and the degree of coverage of the lecturer's notes were compared. The relationships between learning performance and note-taking behaviour were also analysed. The causal relationships between student's characteristics and note assessments were statistically compared, and contributing factors were extracted.

UAV Sensor Operator Training Enhancement through Heat Map Analysis

Ashish Amresh, John Femiani, Jason Fairfield, Adam Fairfield

Arizona State University, United States of America

iV2013_ ABSTRACT

Heat map based data visualization and mining is an emerging area in game engine design and architecture. Employed by many state of the art game engines and popular commercial games, this technology helps populate and collate player activity and behavior to better inform the system for further action. Simulation and serious games can tremendously benefit by applying heat map based visualization for the purposes of analyzing and tracking player behavior. Heat maps are time varying texture maps that represent a chosen activity over a certain grid at any particular interval of elapsed time. In this paper results of applying a real-time heat map data capture and generation tool on two military simulations: 1) Ground-based combat scenario and 2) Unmanned Aerial Vehicle sensor operator scenario is presented. The research showcases several real-time visualization techniques developed into the simulation with the main goal of understanding participant behavior. Novice and expert data is populated as part of the experiment to validate the effectiveness of our methods.

< short paper > Effectiveness of Note-taking Content Features on Test Scores in Online Courses Minoru Nakayama1, Kouichi Mutsuura2, Hiroh Yamamoto1

1Tokyo Institute of Technology, Japan;

2Shinshu University, Japan

The lexical features of notes taken during blended and fully online courses were analysed to improve learning activity, as the contents of notes can be used to facilitate course evaluation. The lexical contents of student's notes was used to analyse the note taking behaviour in both blended and fully online courses. Features such as the number of terms, the word ratios of student's notes and the degree of coverage of the lecturer's notes were compared. The relationships between learning performance and note-taking behaviour were also analysed. The causal relationships between student's characteristics and note assessments were statistically compared, and contributing factors were extracted.

< short paper > Using a Serious Game Approach to Teach ‘Operator Precedence’ to Introductory Programming Students

NIcoletta Adamo-Villani, Robb Cutler, Thomas Haley-Hermiz, Andrew Cutler Purdue University, United States of America

In this paper we describe the design, development, formative evaluation and initial findings of one level of a serious game whose objective is to teach Information Assurance concepts to undergraduate students in introductory programming courses. The game level focuses on the concept of ‘operator precedence’. The player travels through a multilevel 3-dimensional maze and at each junction in the maze he/she is required to solve a mathematical problem that involves the application of operator precedence rules. A correct answer allows the player to move closer to the maze exit, an incorrect solution moves the player farther from the end of the maze. Initial findings from a formative study with a group of 14 undergraduate students show that the game level is usable, engaging and useful for learning/reviewing the intended programming concept

< short paper > A Process of Seamlessly Replacing CG Elements into Live-action Footage Jin Zhi University of Dundee, United Kingdom

This research focused on inserting a computer-generated element into live-action footage and replacing unwanted existing objects in the footage. In addition, creating a realistic and seamless visual representation in the field of digital compositing. The purpose of this paper is to cover a detailed working process of digital compositing in order to clarify the production process and provide a clear idea for those entry-level artists to improve an overall understanding of the digital compositing and visual effects and hopefully inspire further collaboration and participants particularly between academia and industry.

Session Vis2013_2.4 : Advances in Interactive and Visual Data Clustering Chair: Dr. Hanane Azzag, University of Paris 13, France

A new measure for group outliers detection and visualization

Amine Chaibi, Mustapha Lebbah, Hanane Azzag University of Paris 13, France

iV2013_ ABSTRACT

In this paper, we present a new score for cluster outliers detection and visualization named GOF (Group Outlier Factor). GOF is based on relative density of each group of data and provides a quantitative score useful for visualization of outlier-ness. To validate GOF measure, we introduce it in a clustering process using Self-organizing Map (SOM). Visualizations and experimental results show that GOF sensibly improves the results in term of cluster-outlier detection. The development of the SOM based visualization tool intends to provide additional exploratory data analysis techniques by offering a tool that allows effective extraction and exploration of patterns.

An Interactive, Example-Based, Visual Clustering System

Pierrick Bruneau, Benoit Otjacques

CRP - Gabriel Lippmann, Luxembourg

This work describes and evaluates a novel interactive visual clustering system. It combines a 2D projection with a clustering algorithm that operates on this projected data. Users can interact directly through the 2D representation, by providing examples according to their expert ground truth. Each interaction incrementally updates the 2D projection and the associated clustering. Experiments show the effectiveness of the method, with as few as one interaction leading to a tangible influence on the visualization.

Nonlinear dimensionality reduction for cluster identification in metagenomic samples

Andrej Gisbrecht, Barbara Hammer, Bassam Mokbel, Alexander Sczyrba Bielefeld University, Germany

We investigate the potential of modern nonlinear dimensionality reduction techniques for an interactive cluster detection in bioinformatics applications. We demonstrate that recent non-parametric techniques such as t-distributed stochastic neighbor embedding (t-SNE) allow a cluster identification which is superior to fully automatic clustering of the original data or cluster detection based on classical parametric dimensionality reduction approaches. Non-parametric approaches, however, display quadratic complexity which makes them unsuitable in interactive devices. As speed-up, we propose kernel-t-SNE as a fast parametric counterpart based on t-SNE.

A Mixed-Initiative Approach to Visualizing Overlapping Communities

Martijn A. de Jongh, Patrick M. Dudas University of Pittsburgh, United States of America

When evaluating a network topology, occasionally data structures cannot be segmented into absolute, homogeneous groups. There may be a spectrum to the dataset that does not allow for this pigeon-hole approach and it lacks the sophistication as allowing for overlapping communities or cliques. Even to this degree, when group members can belong to multiple cliques, there leaves an ever present layer of doubt, noise, and outliers caused by the overlapping clustering algorithms. These imperfections can be altered by the user to preserve their own mental models of the communities to circumvent the algorithm itself. Presented is a visualization that allows for modeling of overlapping membership and interactive, mixed-initiative interface to allow for user-interaction to correct for these machine learning issues.

< short paper > Cluster coloring of the Self-Organizing Map: An information visualization perspective Peter Sarlin, Samuel Rönnqvist

Åbo Akademi University, Turku Centre for Computer Science − TUCS, Finland

This paper takes an information visualization perspective of visual representations in the general SOM paradigm. This involves viewing SOM-based visualizations through the eyes of Bertin's and Tufte's theories on data graphics. The regular grid shape of the Self-Organizing Map (SOM), while being a virtue for linking visualizations to it, restricts representation of cluster structures. From the viewpoint of information visualization, this paper provides a general, yet simple, solution to a projection-based coloring of the SOM that reveals structures. First, the proposed color space is easy to construct and customize to the purpose of use, while aiming at being perceptually correct and informative through two separable dimensions. Second, the coloring method is not dependent on any specific method of projection, but is rather modular to fit any objective function suitable for the task at hand. The cluster coloring is illustrated on two datasets: the iris data and welfare and poverty indicators.

< short paper > Visualisation of association rules based on a molecular representation

iV2013_ ABSTRACT

zohra ben said1,3, Fabrice GUILLET1, Paul RICHARD2, Fabien PICAROUGNE1, Julien BLANCHARD1 1LINA, UMR 6241 CNRS, University of Nantes, Nantes, France and LIUM,

EA 4023, University of Le Mans, Le mans, France; 2LINA, UMR 6241 CNRS,

University of Nantes, Nantes, France; 3LISA, EA 4094, Universit d’Angers,

Angers, France

In order to extract interesting knowledge from the large amount of rules produced by the data mining algorithms, visual representations of association rules are increasingly used. These representations can help users find and validate interesting knowledge. All techniques proposed for rule visualisation have been developed to represent an association rule as a hole without paying attention to the relations among the items that make up the antecedent and the consequent and the contribution of each one to the rule. In this paper, we propose a new visualisation representation for association rules. This new representation allows visualisation of items which make up the antecedent and the consequent, the contribution of each one to the rule, and the correlations between each pair of the antecedent and each pair of consequent. The use of this representation in a visualisation tool of association rules facilitates the task of exploration and extraction of relevant rules.

Session iV2013_2.5: Visualisation Chair: Prof. Mikael Jern, Linköping Univirsity, Sweden

< keynote lecture > Visual Analysis of Financial Data Eugene Sorenson Visual Applications & Bloomberg Launchpad, Bloomberg LP, New York, USA Visualization in financial markets, such as stock, commodity and currency trading, has a long history, given large amounts of data and the potential to create profit through rapid insight. In capital markets, expert users such as traders and technical analysts have learned skills and evolved timeseries charts over decades to quickly identify and assess potential trading signals, and these timeseriescharts continue to evolve in new ways.

Also, with the advent of information visualization, new visual techniques provide new ways to identify market patterns, whether looking at a single stock or across entire markets. And, with ever growing data sets and complexity, there are many opportunities for further advancing visualization in the financial community.

Bio-sketch

Eugene Sorenson is the global business manager for

Bloomberg's visual applications and BloombergLaunchpad, an advanced desktop interface for theBloomberg Professional service. Based in New York,he oversees business strategy and product development for Bloomberg's visual applications leveraging charts and graphics as well as theLaunchpad division. The Bloomberg Professional service is the world's most trusted source for real-time and historical financial data, news, research andanalytics. Under Mr. Sorenson's leadership, Bloomberg developed a new charting platform and the creation of new visual representations of the

market that organize data intoactionable information. He also led the creation of Bloomberg Launchpad 2010, which is designed to give financial services professionals a faster, more comprehensive and customizable look at the markets. Prior to joining Bloomberg in 2006, he worked at Cantor Fitzgerald as the vice president of market data product development and at CQG where he held several positions within their product group. Earlier in his career, he launched a Commodity Trading Advisory firm, where he devised trading strategies in financial and commodity futures based on technical chart patterns.

< panel papers > Knowledge Visualization for Social Entrepreneurs

Sabrina Bresciani, Martin J. Eppler University of St. Gallen, Switzerland

Social entrepreneurship is an emerging field which has the power to change the way we do business and resolve societal challenges. Visualization has not yet been systematically applied to support social entrepreneurs in creating, growing and scaling their ventures. We thus propose a framework for the use of knowledge visualization in the creation and development of social enterprises. We posit that each phase of the social venturing process requires a different knowledge visualization genre. These diverse types of (interactive) graphic representations help social entrepreneurs cope with resource constraints and interact with a great variety of stakeholders. In this contribution we thus show that knowledge visualization can provide versatile

http://www.graphicslink.co.uk/IV2013/keynotes.htm#eugeneTalk

http://www.graphicslink.co.uk/IV2013/keynotes.htm#eugene

iV2013_ ABSTRACT

and inexpensive ways to augment social entrepreneurs’ activities systematically.

The role of direct manipulation of visualizations in the development and use of multi-level knowledge models

Randolph George Goebel University of Alberta, Canada

The proliferation of touch sensitive display screens has created a new generation of human-computer interaction styles which are so natural and common that even the youngest of users now perceive ordinary static media like a glossy magazine as a broken iPad. The volume of users who expect to be able to pinch, grab, twist and manipulate images on screen is rapidly growing; they drive a renewed interest in developing, assessing, and delivering new direct manipulation systems. Our premise is that one can exploit new technologies to develop new reper- toires of direct manipulation, but with increasing pressure to provide semantically-coupled direct manipulation methods to experiment with computational information models.

We develop this premise by noting highlights in the evolution of direct manipulation interfaces, and suggest that their selection and deployment can be tailored as visual experiments to debug and extend more complex computational models of information systems and processes. These systems and processes include those of natural systems such as arise in systems biology (e.g., modelling multiple levels of protein structure), but also in “unnatural” systems such as in the identification of hubs and authorities in artificial systems like the World Wide Web (WWW). The immediate consequence of our premise suggests that the design of direct manipulation tools should proceed with the semantics of the mod- elled systems in mind, so that each users’ manipulations provide a new perspective on the concept of “data mining” of large data sets. This will allow users to not just expose implicit relationships, but to incrementally combine explanatory and exploratory investigation by direct manipulation, to adjust and improve the computational knowledge models that emerge from the underlying data.

Session iV2011_2.6: POSTER – SHOW CASE

Session iV2011_2.6: POSTER – SHOW CASE

Chair: John Counsell, Cardiff Metropolitan University, UWIC, UK

Applying 3D Dynamic Visualisation to (Palaeo) Geomorphic Reconstruction: Modelling a Tenth Century Jökulhlaup at Sólheimajökull Glacier, South Iceland

Booth, Laura M; Isaacs, John P

University of Dundee, UK

Visual Search And Processing for Lexeme and Morpheme Constructs Lin, Hsin Hsin

NFOTECH Research & Consultancy, Singapore



Session iV2013_2.7: Information Visualisation - Application

Chair: Prof. Gilles Venturini, University Francois Rabelais of Tours, France

A Typology for Data Visualization on the Web

Ana Raquel Figueiras FCSH - Universidade Nova de Lisboa, Portugal

The need to visualize data has originated in the research field, where it has been a useful tool to the study of scientific problems. However, the truth is that data visualization is a great way to present data for any area dealing with information, because visually presented information is more appealing due to its use pictograms and colours and also more efficient in conveying large amounts of information. Throughout the years, there have been efforts to develop a classification for these visualizations, in order to provide a better understanding of this way to present data. There are many different classifications proposed, but none of them are complete.

This paper discusses and develops a typology for online data visualization and infographics. Such a typology will be relevant for a better understanding of what kinds of visualizations exist and to better identify in further research which elements compose a good visualization that pleases the public.

iV2013_ ABSTRACT

How to model a customized visualization

Mohamed Mouine, Guy Lapalme Université de Montreal, Canada

Modelling a customized view is a daunting task that takes into account several parameters, the most important being the user profile. In this paper we study many facets of modelisation and the issues that must be taken into account. We propose an approach in four steps to model a personalised visualization: extract data, guess user’s needs and preferences, generate a visualization and finally improve it by user evaluation. It has been applied to the context of weather information in Canada.

Pianola - Visualization of Multivariate Time-Series Security Event Data

Alistair Thomson2, Martin Graham1, Jessie Kennedy1 1Edinburgh Napier University;

2ECS Security Ltd

Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events.

Information Visualization techniques arrange data into directly perceivable visual patterns that may alleviate some overheads associated with interpreting these datasets and improve the ability of users, especially those in resource-stretched Small and Medium sized Businesses (SMBs), to make sense of activity patterns in Intrusion Detection System (IDS) event logs.

To this end, we discuss existing network security visualizations for IDS logs and after examining the strengths and drawbacks of those applications we have prototyped a visualization tool, Pianola, that arranges events on multiple timelines to reveal patterns both in time and across a network. The tool was evaluated against the traditional use of command-line interface (CLI)-based tools for analyzing network security events and displayed significant improvements in both recognition and detection of attacks and reduction in the users’ subjective workload, measured using the NASA Task Load index (TLX).

Finding Research Communities and their Relationships by Analyzing the Co-authorship Network

Carolina de Figueiredo Bento1, Hideaki Takeda2 1Instituto Superior Técnico - TagusPark, Portugal;

2National Institute of

Informatics - Tokyo, Japan

The structure of scientific co-authorship networks can reveal patterns of scientific collaboration. Our study focused on developing a methodology for community finding in co-authorship networks that could reveal the real (physical) patterns of scientific collaboration, by using two datasets with different collaboration scopes: one considering only collaborations within Japanese research institutions from different research areas, and the other comprising worldwide collaborations in the area of Computer Science.

Session iV2013_2.8: Application of Graph Theory Chair: Dr. Adrian Rusu, Rowan University, USA

One Graph, Multiple Drawings

Maurin NADAL, Guy MELANCON CNRS UMR 5800 LaBRI, France

Being able to produce a wide variety of layouts for a same graphs may prove useful when users have no preferred visual encoding for their data. The first contribution of this paper is a enhanced force-directed layout capable of producing different layouts of a same graph. We turn a well known force-directed algorithm (GEM) into a highly parametrizable layout and control it from a genetic algorithm framework.

The genetic algorithm allows to efficiently explore the parameter space of this highly parametrisable layout. The search process relies on the capability of the system to evaluate the similarity between two drawings. The second contribution of this paper is a similarity metric used as a fitness function for the genetic algorithm. Its main features are its computational cost of O(n²) (with n the number of vertices) and its insensitivity to planar homotheties.

Extending the H-Tree Layout Pedigree: An Evaluation

João Miguel Santos1, Beatriz Sousa Santos1,2, Paulo Dias1,2, Samuel Silva1,2, Carlos Ferreira3,4

iV2013_ ABSTRACT

1Department of Electronics Telecommunications and Informatics, Aveiro

University, Portugal; 2IEETA / Institute of Electronics Engineering and

Telematics of Aveiro, Portugal; 3Department of Economics, Management

and Industrial Engineering, Aveiro University, Portugal; 4Operational

Research Centre (CIO), Lisbon University, Portugal

Visualizing large family structures is becoming increasingly important, as more genealogical data becomes available. A space-filling H-Tree Layout Pedigree has been recently proposed to make better use of the available space than traditional representations. In a previous paper we applauded the technique's usage of available space but remarked that it makes generation identification difficult and does not allow navigating to descendants of represented individuals. A set of extensions was proposed to help overcome these limitations and a preliminary evaluation suggested that those extensions enhance the original technique. This paper presents a more thorough evaluation carried out to assess if and how the proposed extensions improve the original H-Tree Layout Pedigree technique. Results suggest that these extensions improve user performance for specific tasks and that user experience is generally enhanced, even when performance is not improved.

Shortest Path Approach to Edge Routing

Jiri Dokulil1, Jana Katreniakova2, David Bednarek3 1University of Vienna, Vienna, Austria;

2Comenius University, Bratislava,

Slovakia; 3Charles University, Prague, Czech Republic

Traditionally, drawing of edges is performed together with drawing of nodes. However, there are situations where positions of the nodes are fixed, e.g., when the positions are defined by the user or a separate algorithm. An example of this situation is a database schema editor, where user positions the nodes (i.e., visual representations of definitions of individual database tables) according to their meaning, for example grouping them according to subdomains of the problem. In this case, we only need to draw the edges but we must do that in such a way that the lines that represent these edges do not cross the rectangles that represent the nodes -- we need to perform some kind of edge routing. This paper describes an algorithm that performs edge routing in such a way that the lengths of the polylines it produces are minimal. We also describe several ways of improving the performance of the basic algorithm so that it can be used even for interactive graph visualization and manipulation, which is necessary in our scenario. Then, we show

several post-processing steps that are used to turn the results of the algorithm into a usable visualization.

Initial Positioning Method for Online and Real-time Dynamic Graph Drawing of tme varying data

Aki Hayashi, Tatsushi Matsubayashi, Takahide Hoshide, Tadasu Uchiyama NTT Service Evolution Laboratories, NTT Corporation, Japan

Microblogging services generate huge histories that suit animated visualization based on graph drawing, but response speeds are insufficient. This paper proposes an effective updating method for the real-time visualization of time varying data. We propose an initial positioning method by combining Additional Edge Resizing (AER) with Sorted Sequential Barycenter Merging (SSBM). AER resizes edges between existing nodes when new edges are added before updating the visualization. SSBM initially positions multiple new nodes sequentially through priority based on the degree of connections to the existing graph.

The proposed method prevents a decrease in readability at data update and achieves fast convergence with high accuracy. Quantitative and qualitative evaluations using the energy function and RMSE are detailed along with some visualization results. A graph drawing tool based on HTML5 is also introduced as an implementation of the propose method and present some use cases for twitter data.

Session iV2013_2.9: Chair: Dr. Amalia Rusu, Fairfield University, USA

< short paper > Emotions, worlds and colors: a strategies to visualize and analyze patterns from visitors narratives in museums Patrizia Schettino Universita della Svizzera italiana, Switzerland

From audio recording and transcript of interviews, how to analyze emotions expressed by visitors, after the visit? Can an analysis based on colors help the qualitative researcher to find patterns in the data, in a more effective way? What visual analysis by emotions can tell to the researcher? This paper present a concept and an initial reflection about the developments of data from visitor experiences in the direction of a visualization of patterns based on emotion, using a qualitative data analysis software such NVivo or new typologies of 3D visual data analysis in immersive environments.

iV2013_ ABSTRACT

< poster > Trans medium methodology ,Interdependency of medium and meaning production

Maryam Fazel

Sheffield university, United Kingdom

Acknowledging the existing diversity of representational regimes and visual mediums, tools and techniques used in visual studies, while responding to fragmented detached ways of analysing and negotiating visual study, This paper suggests an interconnected method that blurs the boundaries between conventional separated mediums and methods of documenting This suggestion is based on our tactic of employing, overlapping and transiting between mediums, called ‘transmedium methodology’.

By Transmedium medthodology we do not propose a new method; rather it’s a framework that keeps an interrelated approach to the way we employ mediums.This can highlight the potentials of shifting in between different mediums of representation applied in all steps of visual study, addressing the varied and dynamic interrelationship between mediums of representation and their embedded potentials of transforming information as a matter of ‘medium specificity’. The paper will present a case study to offer an insight into interconnected relations between mediums and meaning production to show this transiting back and forth between mediums can generate new meaning.

Emerging from an empirical field study and in response to the needs of my study in order to negotiate how people interact with new locative media applications, and to figure out behavioural patterns of use, we used multi methods iterative and shifted between various frames of observation (mobile screen recording plus gestural recording) , abstraction/concrete mediums( Architectural AutoCAD) and data spatialization methods. The emphasise was on negotiating the potentials of shifting between mediums, back and forth from the first visual medium to the next and then referring back to the first, etc ; walking in the edges, in order to reveal hidden information or recreate information along the process of “in betweenness’ of abstraction, concreteness and finally data spatialization or (in other words the act of trans_medium transition), as a way of emerging not yet revealed information or generating not yet created information.

< poster > Visual Search And Processing for Lexeme and Morpheme Constructs

Hsin Hsin Lin

INFOTECH Research & Consultancy, Singapore

In the age of tiles and slates, packaging information has been reduced (or expanded) to apps contained in a tile, used as an icon in a smartphone or a tablet. Regardless of the operating system, tiles seem to be the object of first eye contact, but is this the most efficient way of displaying and extracting information? If so, specify the most suitable tile layout

Applying the layout of tiles as elements of a cluster, where arrangement of a group of letters or letters can be visualized and perceived to form lexemes, and hence morphemes upon immediate eye contact -- the quality of such visualization, and level of sophistication in comprehension and lexemes and/or morphemes detection depends on various factors. They include rapid eye movements along possible lexeme and/or morphemes trajectories, organization and combinatorics skills, as well as language proficiency and beyond.

This paper describes the possible cluster-of-elements layouts and arrangements, it entails the goal-targeted visual processing, visual queries for extracting information simultaneously, and hence identifying the possible influences on the visual map for lexemes construct, detection and formation, ultimately making an attempt to achieve maximum number of words in the shortest possible time.

< short paper >

Categorization of Audience Participation in Interactive Art Installations Based on Four Categories

Je-ho Oh, Chung-kon Shi

KAIST, Korea, Republic of (South Korea)

The aim of this paper is to categorize audience participation in interactive art according to audience identification and action. Due to the need for discussion about human beings in human- computer interaction, the main point of comprehension about subdivided audiences in interactive art is audience participation in interactive artwork as individuals or virtual beings. To date, much of the published research deals with audience communication

iV2013_ ABSTRACT

and art installations and the development of audience participation. To establish the method of categorization, we analyze the research on communication between audiences and art installations from identification and action points of view. The participation of the audience is classified into two categories: ‘to act’ or ‘to be represented’. Through this method, we classify interactive art into four categories by audience identification and action – object, coordinator, transformer and character. By using these four categories, participation of the audience in interactive art is classified and a new role of artwork by the audience is found. This paper is also relevant for audience participation design given the installation in human-computer interaction, notifying human beings what to do in this situation.

Session iV2013_2.10: Business Intelligence Chair: Fatma Bouali, University of Lille 2, France

3D and immersive interfaces for Business Intelligence: the case of OLAP

Sébastien Lafon1, Fatma Bouali1,2, Christiane Guinot1, Gilles Venturini1 1University Francois Rabelais of Tours, France;

2University of Lille 2, France

We study in this paper the use of a 3D interface for OLAP. We analyze the state of the art in OLAP 3D visualizations. In a first step, we propose a new interface, called VR4OLAP, that combines the relative advantages of the studied methods. VR4OLAP can visualize 3 dimensions of an OLAP data cube and up to two measures. It represents the OLAP operators in the visualization with 3D widgets. It can use a 3D stereoscopic screen with a 3D mouse. In a second step, we have performed a user study to evaluate this interface and to compare it with a standard cross-table. We evaluate the technical performances of the 3D interface. We conclude that, for the studied data and methods, 1) users are quite enthusiastic with a 3D representation, 2) the performances in 2D are equal or better than those obtained in 3D, 3) no advantage was found with the use of 3D immersive setup.

Parallel Coordinates Technique in Visual Data Mining: Advantages, Disadvantages, and Combinations

Alfredo Cuzzocrea1, Davood Zall2 1ICAR-CNR and University of Calabria, Italy;

2Polytechnique Montréal,

Canada

The aim of this paper is to analyze the Parallel Coordinates technique, to study its cons and pros along with the emerging limitations, also to examine its combination with other techniques in order to provide novel evolutionary synthetic methods. The applied methodologies are in the form of literature surveying as well as making use of the technical expertise of the professionals in this field. The outcomes of this research are categorized and listed consequently which can serve as a guideline for the prospective users, thus facilitating appropriate application of the method.

Visual and interactive exploration of a large collection of Open Datasets

Tianyang Liu1, Durdana Bangash Ahmed1, Fatma Bouali1,2, Gilles Venturini1 1University Francois Rabelais of Tours, France;

2University of Lille 2, France

We deal in this paper with the problem of creating an interactive and visual map for a large collection of Open datasets. We first describe how to define a representation space for such data, using text mining techniques to create features. Then, with a similarity measure between Open datasets, we have used the K-nearest neighbors method for building a proximity graph between datasets. We have used a force-directed layout method to visualize the graph (Tulip Software). We present the results with a collection of 293,000 datasets from the French Open data web site, in which the display of the graph is limited do 151,000 datasets. We study the discovered clusters and we show how they can be used to browse this large collection.

< poster > Visual Clustering for Large Scale Commercial Enterprises

Tarundeep Dhot, Masoud Charkhabi Canadian Imperial Bank of Commerce, Canada, Canada

Clustering is a well established data exploration and analysis method as it allows for interactive discovery and interpretation of groups of entities that have similar properties and characteristics. However, exploring data and

iV2013_ ABSTRACT

deriving meaningful clusters from it often presents challenges in large sets of structurally complex data. Large scale commercial enterprises hold an exponentially increasing volume of complex highly-dimensional data. In order to effectively analyze this data and create accurate and meaningful clusters from it, pre-processing the data prior to clustering is essential. Once clusters are created, interpretation and representation of clusters becomes equally important to aid corporate decision making. In this paper, we present a generic approach to data preparation and cluster interpretation for cluster analysis as well as an implementation for a large scale commercial enterprise.

Session iV2013_2.11: Visualisation Chair: Dr. Mustapha Lebbah, Université Paris 13, France

Augmented Reality on Construction Sites using a Smartphone-Application

Kim Kirchbach Karlsruhe Institute of Technology (KIT), Germany

Civil Engineering is characterized by the ineffectiveness of production planning and control. The origins of these problems lie in unclear and late information. Augmented Reality (AR) can tackle these problems and help to improve the information flow.

This paper describes the benefits of Augmented Reality on construction sites and introduces a smartphone application for an intuitive information retrieval on construction sites. It explains the structure of the application, especially the mathematical calculation of the AR view, and demonstrates its use in an use case.

Artistic Visualisation of Practical Information Using Augmented Reality

Vladimir Geroimenko Plymouth University, United Kingdom

Augmented Reality (AR) is a novel visualisation technology that can be effectively used in a wide range of areas, from science to art and everyday life.

This paper addresses the issue of developing AR applications that combine practical and artistic aspects of information visualisation. It includes both some theoretical consideration of the problem and an analysis of the AR installations by the author: "Plymouth Hoe and the Surrounding World", "Scope" and "Plymouth Blitz – 70 years on".

The paper concludes that, though the use of Augmented Reality as a new visual medium for solving the dilemma of practical vs. artistic information visualisation still remains a purely creative task in most cases, there are some rational elements that can facilitate an effective implementation.

A Reference Image Generation method for marker-less AR

Satoshi Yonemoto

Kyushu Sangyo University, Japan

In this paper, we present a marker-less AR framework, which enables virtual graffiti creation and reference image generation. Our framework also supports 3D annotations such as image textures (virtual graffiti), 3D objects and 3D text, which are superposed over the video stream to visualize. We adopt marker-less tracking using keypoint based descriptors and the trackers. In general, reference image for marker-less AR must be acquired from real image in advance. In such situation, most marker-less tracking approaches force user to capture the front view of a target object. In our framework, reference image does not have to capture under the front view of a target object. In this paper, we also focus on creating virtual graffiti linked with reference image generation. In experiments, we showed the estimation accuracy for reference image generation. And we demonstrated real-time marker-less tracking using generated reference image and easy-to-use virtual graffiti creation and immediate superimposing.

Laplacian Musculoskeletal Deformation for Patient-Specific Simulation and Visualisation

Youbing Zhao1, Gordon J. Clapworthy1, Josef Kohout2, Feng Dong1, Yubo Tao1,3, Hui Wei1, Nigel McFarlane1 1University of Bedfordshire, United Kingdom;

2Department of Computer

Science & Engineering, University of West Bohemia, Plzeň, Czech Rep.;

3State Key Lab. of CAD&CG, Zhejiang University, Hangzhou, China

In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific

iV2013_ ABSTRACT

musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution.

Visualization of Individuals Characterized by a Set of Synchronized Signals

Jiri Anyz, Olga Stepankova

Department of Cybernetics, Czech technical University, Czech Republic

In this paper we would like to suggests a modification of data vases visualization that can help understanding complex data where each subject is described by a vector of synchronized signals taken in the same time intervals. The advantages of the our new approach were verified when visualizing set of Brdicka curves and answering an interesting question raised in proteomics about the Brdicka curves proportionality.

Session iV2013_2.12: Information Visualization Chair: Dr. Harri Siirtola, University of Tampere, FI

PRISMA-MDE – Information visualization Environment for Multiple Display.

Roberto Yuri da Silva Franco1, Bianchi Serique Meiguins1, Aruanda Simões Meiguins2 1Federal University of Para, Brazil;

2Rede de Informática

This paper aims to minimize the problems encountered in the handling of large amounts of visual data, proposing a scalable environment for distributed applications and information visualization (IV) with multiple coordinated views. The benefits of this architecture are improving the processing power for visualization tools, reduce the rendering time of

visualization techniques, reducing the problem of occlusion and aggregation, among others. Will be presented usability testing, and comparative testing of performance (rendering time, memory usage, processor) with an application of IV in a single desktop.

Visualization of Multidimensional Sensor Data in Industrial Engineering

Stephen Kimani1, Mariano Leva2, Massimo Mecella2, Tiziana Catarci2 1Jomo Kenyatta University (JKUAT), Kenya;

2SAPIENZA University of Rome,

Italy

Sensors have become increasingly deployed in many areas, and especially in industrial engineering settings. Sensor data is however temporal, massive, and multidimensional in nature. Such characteristics make it difficult to render sensor data for visual analysis. Although there exist potential visualizations for sensor data, there is very little specific guidance in literature on the visualization of sensor data in order to support industrial engineers in decision making. Existing visualizations are not always readily applicable to the domain of industrial engineering. This paper sheds more light on the area and proposes a visualization environment for supporting industrial engineers in their tasks.

Using clustering to improve decision trees visualization

Olivier Parisot, Yoann Didry, Thomas Tamisier, Benoît Otjacques

Centre de Recherche Public Gabriel Lippmann, Luxembourg

Decision trees are simple and powerful decision support tools, and their graphical nature can be very useful for visual analysis tasks. However, decision trees tend to be large and hard to display when they are built from complex real world data.

This paper proposes an original solution to optimize the visual representation of decision trees obtained from data. The solution combines clustering and feature construction, and introduces a new clustering algorithm that takes into account the visual properties and the accuracy of decision trees.

A prototype has been implemented, and the benefits of the proposed method are shown using the results of several experiments performed on the UCI datasets.

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Coordinating Multiple Views using an Ontology-based Semantic Mapping

Jorge Marques Prates, Lilian Passos Scatalon, Rogério Eduardo Garcia, Danilo Medeiros Eler UNESP – Universidade Estadual Paulista “Júlio de Mesquita Filho”, Brazil

Multiple views of data sets from the same domain can support to discover unforeseen associations among data elements, but requires users to interact with them. The coordination mechanism must relate elements across multiple views. The mapping among data elements are constrained by using data attributes, and such mapping influences on how multiple views are coordinated. We propose the application of ontology to link data elements based on semantic for specific context. Representing the underlying data into ontology, semantic representation to create the mappings can benefit exploratory visualization. In this paper we show how to use ontology on coordinating multiple views, the initial results using document collections are presented and discussed, in comparison with traditional techniques.

Session iV2013_3.1: Business Intelligence Chair: Alfredo Cuzzocrea, ICAR-CNR & University of Calabria, Italy

Analysis and Visualization of Research Collaboration Pattern of an Institute through Social Network Analysis Perspective

Alok Pokharel1, Hideaki Takeda2 1Asian Institute of Technology, Thailand;

2National Institute of Informatics,

Japan

This paper presents the study of pattern of interaction in research work (co-authorship in publications and co-partnership in research projects) using the techniques of social network analysis (SNA) and visualization. Along with computation of various network features at local and global levels to find the nature of collaboration, and important positions of researchers in collaboration network, we intersect the networks from co-authorship in publications and co-partnership in research projects with an attempt to find the important researchers both with regard to collaboration in paper and projects.

A Visualization Architecture for Collaborative Analytical and Data Provenance Activities

Aqeel Al-Naser1, Masroor Rasheed1, Duncan Irving2, John Brooke1 1The University of Manchester, United Kingdom;

2Teradata Corp.

When exploring noisy or visually complex data, such as seismic data from the oil and gas industry, it is often the case that algorithms cannot completely identify features of interest. Human intuition must complete the process. Given the nature of intuition, this can be a source of differing interpretations depending on the human expert; thus we do not have a single feature but multiple views of a feature. Managing multi-user and multi-version interpretations, combined with version tracking, is challenging as these interpretations are often stored as geometric objects separately from the raw data and possibly in different local machines. In this paper we combine the storage of the raw data with the storage of the interpretations produced by the visualization of features by multiple user sessions. We present case studies that illustrate our system's ability to reproduce users'

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amendments to the interpretations of others and the ability to retrace the history of amendments to a visual feature.

Geovisual Analytics and Storytelling Using HTML5

Patrik Lundblad, Mikael Jern Linköping University, Sweden

The large and ever-increasing amounts of multivariate, multi-source, time-varying and geospatial digital information represent a major challenge for the analyst. The need to analyze and make decisions based on these information streams, often in time-critical situations, demands efficient, integrated and interactive visualization tools that aid the user to explore, present, collaborate and communicate visually large information spaces. This approach has been encapsulated in the idea of Geovisual Analytics, an interdisciplinary field that facilitates analytical reasoning through highly interactive visual interfaces and creative visualization of complex and dynamic data integrated with storytelling. Collaborative mapping is exemplified in this paper through telling stories about public statistics development over time that could shape, for example, economic growth and well-being. Discoveries are made that leave lasting impressions by stimulating the readers’ curiosity making them want to learn more and convey a deeper meaning. In addition, the user can interactively participate in this web-based process which is important to the education and dissemination of public statistics. The storytelling mechanism assists the author to improve a reader’s visual knowledge through reflections such as how life is lived by using a variety of demographics, such as healthcare, environment, and educational and economic indicators. Integrated snapshots can be captured at any time during the explorative data analysis process and thus become an important component of a storytelling reasoning process. The public can access Geovisual Analytics applications and explore statistical data relations on their own guided by the stories prepared by the experts. With the associated science of perception and cognition in relation to the use of multivariate spatial-temporal statistical data, this article contributes to the growing interest in visual storytelling engaging the public with new experiences

Current Work Practice and Users’ Perspectives on Visualization and Interactivity in Business Intelligence

Wolfgang Aigner

Vienna University of Technology, Austria

Business Intelligence (BI) provides methods for analyzing business-critical information and supports decision-making processes. Interactivity or the possibility to engage in an active discourse with the representation lies at the core of Information Visualization and Visual BI. However,

current work practice and users' perspectives on visualization and interactivity in BI have not been investigated yet. As a first step in this direction, a qualitative empirical study was conducted among six IT-managers working in the field of BI. Main results are that interactive visual methods in BI are not used very often in practice. One of the main reasons reported is the fact that visualization is still two steps ahead and at the moment mostly more basic problems concerning data gathering, data modeling and data quality prevail. Moreover, most users are used to work with numbers and tables and are not aware of the possibilities in terms of visualization. However, the interviewed IT-managers acknowledged that using

more interactive visual methods in BI would be beneficial for users.

Visual Analysis of Complex Networks for Business Intelligence with Gephi

Sébastien Heymann1, Bénédicte Le Grand2 1LIP6 - CNRS - Université Pierre et Marie Curie, France;

2CRI - Université

Paris 1 Panthéon – Sorbonne

Platforms which combine data mining algorithms and interactive visualizations play a key role in the discovery process from complex networks data, e.g. Web and Online Social Networks data. Here we present a general approach for the visual analysis of Business Intelligence data modeled as complex networks with Gephi, an open source software for networks visual exploration. We provide real-world examples of social, topical, geographical, and temporal data analysis.

iV2013_ ABSTRACT

Visual Data-Driven Profiling of Green Consumers

Annika H. Holmbom, Peter Sarlin, Zhiyuan Yao, Tomas Eklund, Barbro Back

TUCS-Turku Centre for Computer Science, Department of Information Technologies, Åbo Akademi University, Finland

There is an increasing interest in green consumer behavior. These consumers are ecologically conscious and interested in buying environmentally friendly products. Earlier efforts at identifying these consumers have relied upon questionnaires based on demographic and psychographic data. Most of the studies have concluded that it is not possible to identify a unanimous profile for a green consumer, because: (1) there might be several profiles for green consumers, and (2) in questionnaires, consumers tend to answer according to their intentions, not according to actual behavior.

We apply a new method, the Weighted Self-Organizing Map (WSOM) for visual customer segmentation in order to profile green consumers. The consumers are identified through a data-driven analysis based on actual transaction data, including both demographic and behavioral information. The WSOM accounts for the ’degree’ of how green a consumer is by giving a larger weight to consumers who buy more green products. The identified profiles are verified by comparison to earlier research.

Session iV2012_3.2: Information Visualisation – Application - II Chair: Dr. Adrian Rusu, Rowan University, USA

A Multilingual Handwriting Approach to CAPTCHA

Amalia Rusu1, Steve Mislich2, Lukas Missik3, Benjamin Schenker4 1Fairfield University, United States of America;

2Greenville College, United

States of America; 3Harvard University, United States of America;

4Cooper

Union, United States of America

Nowadays World Wide Web makes use of Human Interactive Proofs and CAPTCHA to distinguish legitimate users from bots. This paper presents an overview of current systems and their weaknesses and proposes a unified theory for a multilingual handwriting CAPTCHA. We further describe our French and Spanish CAPTCHAs, as an extension to the English version,

with the potential of being more useful on websites in those languages. Highly interdisciplinary techniques used to generate our CAPTCHAs are also discussed.

Defining Visual User Interface Design Recommendations for Highway Traffic Management Centres

Margit Pohl1, Johanna Haider1, Peter Fröhlich2 1Vienna University of Technology, Austria;

2FTW-Forschungszentrum

Telekommunikation Wien

The design of traffic management systems is challenging because of the large amount of dynamic data which has to be analysed by operators. Systems have to be designed appropriately to enable operators to react efficiently and quickly. The following paper gives an overview of guidelines derived from empirical research in cognitive psychology and HCI. These guidelines specifically address the design of traffic management systems. The following topics seem to be especially relevant: visual perception, geographic data, perception of motion, monitoring of tasks and interaction. These guidelines can help to design usable and useful systems.

Financial Visualization Case Study: Correlating Financial Timeseries and Discrete Events to Support Investment Decisions

Richard Brath, Eugene Sorenson Bloomberg LP, United States of America

Visualization in financial markets, such as stock, commodity and currency trading, has a long history, given large amounts of data and the potential to create profit through rapid insight. In capital markets, expert users such as traders and technical analysts have learned skills and evolved timeseries charts over decades to quickly identify and assess potential buying signals, and these timeseries charts continue to evolve in new ways. Also, with the advent of information visualization, new visual techniques provide new ways to see market patterns visually, whether looking at a single stock or across entire markets. And, with ever growing data sets and complexity, there are many opportunities for further advancing visualization in the financial community.

iV2013_ ABSTRACT

EyeC: Coordinated Views for Interactive Visual Exploration of Eye-tracking Data

Gordan Ristovski1, Mathew Hunter2, Bettina Olk2, Lars Linsen1 1School of Engineering and Science, Jacobs University, Bremen,

Germany; 2School of Humanities and Social Science, Jacobs University,

Bremen, Germany

Visual attention and eye movement are important subjects of investigation with a wide area of application scenarios. The analysis of eye tracking data comprises examinations of differences between subjects and groups of subjects and identification of patterns and outliers within and between groups. To allow for such complex queries in an intuitive way, we present an interactive visual analysis tool using coordinated views. The views display areas of interest, statistical graphics of fixation times and time series and comprise novel visual encodings for spatiotemporal analysis and subject similarities. Interaction mechanisms allow for a refined analysis that takes into account all aspects of the data. We apply our approach to eye tracking data from psychological experiments and conduct a case study to demonstrate its effectiveness and intuitiveness.

< short paper > Visualizing Time-Varying Topics via Images and Texts for Inter-Media Analysis

Masahiko Itoh, Masashi Toyoda, Masaru Kitsuregawa

The University of Tokyo, Japan

This paper proposes a system for analyzing societal behaviors by visualizing time-varying topics in multiple media. Various types of contents such as text, image, and videos spread out over multiple media, such as TV and the Web, that have complementary information and influence each other. To understand recent societal behaviors, it is important to compare how those media react to real world events and how each medium react to other media. Our system visualizes the flows of contents in multiple media on a 3D space enabling us to simultaneously explore them. We show two example applications using our system. First one is inter-media events visualization comparing exposure of topics in TV news and bloggers' activities. Second one is a system for visualizing visual trends on social media that chronologically shows extracted clusters of images on blog. Proposed systems enable users to visually read changes in thought, activities, and

interests of people, and differences between media through interactively explore flows of texts and images extracted from the media.

Session iV2012_3.3: Visual Analytics Chair: Prof. Randolph George Goebel, University of Alberta, Canada

Graph-based Relational Data Visualization

Daniel Mario Lima, Jose Fernando Rodrigues Jr, Agma Juci Machado Traina ICMC, Brazil

Relational databases are rigid-structured data sources characterized by complex relationships among a set of relations (tables). Making sense of such relationships is a challenging problem because users must consider multiple relations, understand their ensemble of integrity constraints, interpret dozens of attributes, and draw complex SQL queries for each desired data exploration. In this scenario, we introduce a twofold methodology; we use a hierarchical graph representation to efficiently model the database relationships and, on top of it, we designed a visualization technique for rapidly relational exploration. Our results demonstrate that the exploration of databases is profoundly simplified as the user is able to visually browse the data with little or no knowledge about its structure, dismissing the need of complex SQL queries. We believe our findings will bring a novel paradigm in what concerns relational data comprehension.

Using Otsu's Threshold Selection Method for Eliminating Terms in Vector Space Model Computation

Danilo Medeiros Eler, Rogério Eduardo Garcia

UNESP, Univ Estadual Paulista, Brazil

Visualization techniques have proved to be valuable tools to support textual data exploration. Dimensionality reduction techniques have been widely used to produce visual representation of document collections. Focusing on multidimensional projection techniques, good visual results are produced depending on how representative terms to discriminate the documents are chosen to compose the vector space model (VSM). To define a good VSM it is necessary to apply filters during the preprocessing in order to eliminate terms using their frequency. For that, the user must evaluate the term frequency histogram based on his/her expertise in the text subject and

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decide the threshold value for frequency cut. Usually it is a trial and error approach that requires the user to verify the quality of visual representation after each trial. In this paper, we propose an automatic approach that applies the Otsu's Threshold Selection Method for computing a threshold using a term frequency histogram. We conducted experiments that have shown our approach generates visual representations as good as those generated with a threshold obtained by trial and error approach. The contribution of our approach is that users with non expertise are able to generate good visual representations and the time to get a good threshold is decreased.

Toward Visual Analytics of Unlinked Documents by Textual Analysis and Network Visualization

Buntarou Shizuki1, Hiroshi Hosobe2 1University of Tsukuba, Japan;

2National Institute of Informatics, Japan

We describe a tool to analyze unlinked documents by visualizing networks extracted using textual analysis. Our focus is on developing an interactive visual analytics tool that enables a user to interactively observe data, and to detect features of the documents that may be known or unknown in advance. We have tested our tool using two data set, consisting of 1000 documents and 360 documents. The resulting visualization showed that our tool provides a simple yet powerful method to identify trends and to find facts in the documents quickly due to its interactivity.

< short paper > Extracting Hidden Information and Conclusions in Software Testing via Distributed Relational Visual Mining Walaa Akram Al Mashad, Ahmed Shawky moussa, Akram salah Faculty of Computers and information, Cairo University, Egypt

Visual Mining is typically concerned with the visualization of data and its representation to facilitate the mining aiming at extracting interesting and hidden information. It can also mean the visualization of the results of the mining process with the purpose of deepening the understanding of such results and maximizing its exploitation. However, in global systems and global economies, the targeted knowledge of interest may not be embedded in one database or data system. Instead, it may be hidden, not in the data sets, but in the relations between seemingly unrelated data systems. We introduce this problem and the concept of Distributed Relational Visual Mining and its potential for information and knowledge discovery from

distributed seemingly disconnected systems. With potential applications in many areas, we introduce a case study applying the proposed technique in the area of Software Development in general and Software testing in Particular.

< short paper > Trend Analysis Tool with Simultaneous Visualization of Rank and Value Saori Okubo1, Tomoya Iwakura2, Kazuo Misue3 1Graduate School of Systems and Information Engineering, University of

Tsukuba, Japan; 2Fujitsu Laboratories Ltd., Japan;

3Faculty of Engineering,

Information and Systems, University of Tsukuba, Japan

We developed a simultaneous visualization technique for changing rank and value of events along time, and a trend analysis tool with the visualization. This technique enables analysts to grasp trends of both the entire data set and each occurrence more easily. Also, it tells category of events with color which estimated automatically from their text labels.

Using our tool we analyzed trends of topic data from Twitter as an use case. As a result, we could observe the trends and overview on Twitter. In addition, our tool allows the possibility to present how people on different media thinks in different ways by using media-generated data.

Session iV2013_3.4: Information Visualisation Chair: Prof. Frank T. Marchese, Pace University, USA

< keynote Lecture > Automatic generation of visualization like human’s ones

David Auber

University of Bordeaux I, France Information Visualization is a really old science, with or without computers people have always tried to communicate through visualization. Looking carefully to human made visualizations one can better understand what people want to highlight. It is here that the computer science starts. How can we generate automatically drawings similar to the so efficient ones produced

iV2013_ ABSTRACT

by the human hand. From geography to biology one can find lots of these visualizations. Based on more than ten years of research in information visualization, that talk will present four practical cases. One on secondary structure of RNA drawing, one on Minard like maps, one on Euler diagram visualizations and to finish one on map like hierarchy drawings.

Bio-sketch David Auber received his PhD degree from the University of Bordeaux I in 2003. He

has been an assistant professor in the University of Bordeaux Department of Computer Science since 2004. He is the leader of the Bordeaux Information Visualization team since 2007.His current research interests include information visualization, graph drawing, bioinformatics, databases and software engineering.

< keynote Lecture > Smart Cities, Realtime Data, Augmented Reality and The Internet of Things: Towards the Geography of Everything

Andrew Hudson-Smith

Director and Reader in Digital Urban Systems, Centre for Advanced Spatial Analysis, University College London, UK Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few (IBM, 2103). This data can, compared to traditional data sources, be defined as ‘big’. Cities and urban environments are the main sources for big data, every minute 100,000 tweets are sent globally, Google receives 2,000,000 search requests and users share 684,478 pieces of content on Facebook (Mashable, 2012). An

increasingly amount of this data stream is geolocated, from Check-ins via Foursquare through to Tweets and searches via Google Now, the data cities and individuals emit can be collected and viewed to make the data city visible, aiding our understanding of now only how urban systems operate but opening up the possibility of a real-time view of the city at large (Hudson-Smith, 2013). The keynote explores systems such as The City Dashboard (http://www.citydashboard.org) and the rise of the Internet of Things (IoT) in terms of data collection, visualization and analysis. Joining these up creates a move towards the Smart City and via innovations in IoT a look towards augmented reality pointing towards the geography of ‘everything’. IBM (2103), Big Data at the Speed of Business, http://www-01.ibm.com/software/data/bigdata/ Mashable (2012), How Much Data is Created Every Minute, http://mashable.com/2012/06/22/data-created-every-minute/ Hudson-Smith (2013) – Tagging and Tracking, Architectural Design, forthcoming.

Bio-sketch

Dr Andrew Hudson-Smith, Director and Deputy Chair

of the Centre for Advanced Spatial Analysis (CASA) at The Bartlett, University College London. Andy is a Reader in Digital Urban Systems and Editor-in-Chief of Future Internet Journal, he is also an elected Fellow of the Royal Society of Arts, a member of the Greater London Authority Smart London Board and Course Founder of the MRes in Advanced Spatial Analysis and Visualisation at University College London

. http://www.digitalurban.org

http://www.digitalurban.org/

http://www.digitalurban.org/

http://www.citydashboard.org/

http://www-01.ibm.com/software/data/bigdata/

http://www-01.ibm.com/software/data/bigdata/

http://mashable.com/2012/06/22/data-created-every-minute/

http://mashable.com/2012/06/22/data-created-every-minute/

http://www.casa.ucl.ac.uk/

http://www.casa.ucl.ac.uk/

http://www.bartlett.ucl.ac.uk/casa/programmes/postgraduate/mres-advanced-spatial-analysis-visualisation

http://www.bartlett.ucl.ac.uk/casa/programmes/postgraduate/mres-advanced-spatial-analysis-visualisation

Published by: Visualisation & Graphics Research Unit

London South Bank University

D I G I T A L A R T G A L L E R Y o n l i n e e x h i b i t i o n

July 2013 ~ June 2014

V I R T U A L G A L L E R Y V E N U E

www.g raph ic s l i nk .c o .uk /DART.h tm

© You Fanga , Hans Dehlinger

b, Wang Jian Min

a, Jao Ming

c

a) School of Communication and Design, Sun Yat-sen University, Guangzhou, China

b) Universität Kassel, Kunsthochschule, Kassel, Germany c) School of Software, Sun Yat-sen University, Guangzhou, China

© Vladimir Geroimenko ~ What Lies Beneath