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SEMINAR "PERSONALIZING THE USER EXPERIENCE:
TECHNIQUES AND APPLICATIONS FROM SELECTED DOMAINS
(AUTOMOTIVE, RETAIL & WEB)"
Philipp Fischer: Mercedes-Benz Research & Development North America
Andreas Nürnberger: Otto-von-Guericke-University Magdeburg
myCOMAND Automotive User Interface:
Personalized Interaction with Multimedia Content Based on Fuzzy
Preference Modeling
Akmal Qodirov
Supervised by Michael Feld
Google Wallet
Akmal Qodirov 2
Bringing it all together to create the
SingleTap experience
Overview
• Motivation
• Introduction + Video on myCOMAND
• Features of myCOMAND
• Use Case of the system
• Personalization Approach
• Related Work
• Conclusions
Akmal Qodirov 3
Introduction
Akmal Qodirov 4
Motivation
Akmal Qodirov 5
myCOMAND
• Internet-based infotainment
• Harnesses the power of the Web
• Serves it up in a way that's most beneficial to the driver
• Based on driver’s specific location and needs
Akmal Qodirov 6
Video of myCOMAND
Akmal Qodirov 7
Features of myCOMAND
• Streaming Internet Radio
• Online Media Library
• Off-board Maps
• Map Information Overlays (POI)
• VoIP Telephone
Akmal Qodirov 8
Use Case Akmal Qodirov 9
System interaction is done by turning and pressing of a knob integrated into the
center console
Navi system to display the path between current location and the destination
Use Case (continued) Akmal Qodirov 10
Google Street View and user reviews
World Radio View
Short Summary
• myCOMAND integrates all trip-related content and services to
the vehicle and adapts the requirements
• Adequate and delightful presentation of Internet-based content
• Off-board manner of hosting the content data
• Constantly updating and personalizing the content data
Akmal Qodirov 11
Personalization Approach
• Data Model for Content and Content Structuring
• User Profile and Preference Modeling
• Recommendation Engine
Akmal Qodirov 12
High Level Presentation
Akmal Qodirov 13
myCOMAND client
module
Content data: maps,
internet radio streams,
user media library, etc.
Data Model for Content and Content Structuring
Akmal Qodirov 14
• Matching process is done by methods for
multimedia information retrieval
• Client relies on meta data annotated by the
supplying web service
Visualization of the Content Structure
Mapping of content items and concepts
Akmal Qodirov 15
Fuzzy Relations
Akmal Qodirov 16
Example: a fuzzy relation “Friend” describe
the degree of friendship between two persons
(in contrast to either being friend or not being
friend in classical relation!)
Fuzzy relation generalizes classical relation
into one that allows partial membership and
describes a relationship that holds between
two or more objects.
Fuzzy relations are mapping elements of one
universe, to those of another universe,
through the Cartesian product of two
universes
Fuzzy Relations (continued)
It represents the strength of association between
elements of the two sets
Akmal Qodirov 17
R = “x is considerably larger than y”
R (X, Y)= Relation between sets X and Y
R (x, y) = membership function for the relation R (X, Y)
R (X, Y) = {R (x, y) / (x, y) \ (x, y) Є (X × Y)}
Fuzzy Preference Modeling • The matching process is done by state-of-the-art methods
for multimedia information retrieval.
• The myCOMAND client relies on meta data annotated by
the supplying service.
• The user profile stores a number of fuzzy preference
relations for any content item or concept class.
Akmal Qodirov 18
Preference Modelling and Fuzzy Ratings
Akmal Qodirov 19
Clustering algorithm
used to extract
acoustic features
Pre-annotated by
vTuner web service API
Term-frequency
used to categorize
Fuzzy Ratings for a Set of Content Items
Akmal Qodirov 20
Interaction Concept
Akmal Qodirov 21
Center Console Integrated Knob
Adaptive Content Layout and Interactive Grouping
Related Work
Akmal Qodirov 22
Conslusions and Future Work • Fuzzy preference model and recommendation approach
• Comprehencive interaction (GUI)
• No feedback from users available (no user study)
• Alternative input methods
Akmal Qodirov 23
References • Pic 1: http://businesstravelalmanac.com/wp-content/uploads/2010/08/business-travel.jpg
• GPS typing: http://us.123rf.com/400wm/400/400/diego_cervo/diego_cervo0910/diego_cervo091000006/5626326-rear-view-of-woman-typing-on-gps-selective-focus.jpg
• car radio: http://images.thetruthaboutcars.com/2012/03/car_radio.jpg
• texting and driving: http://blogs-images.forbes.com/work-in-progress/files/2012/05/texting-and-driving.jpg
• eating while driving: http://wa3.cdn.3news.co.nz/3news/AM/2012/4/18/250831/burger-car-eating-food-1200.jpg?width=460
• texting 2: http://mashable.com/wp-content/uploads/2012/04/iStock_texting-while-driving.jpg
• tweet: http://buzzom.com/wp-content/uploads/2009/09/Texting-and-Driving-In-the-Middle-of-a-Tweet-Don-Wright.jpg
• www.google.com/wallet
• http://www.hmi-tec.com/pressemitteilungen_de_reader/items/hmi-praesentiert-smart-web-analyst-auf-basis-kuenstlicher-intelligenz.html
• myCOMAND UI: http://www.emercedesbenz.com/Images/Nov08/20_Mercedes_Benz_myCOMAND_Infotainment_System/683035_1230795_800_480_08C1170_001.jpg
• myCOMAND UI2: http://images.thecarconnection.com/med/mercedes-benz-mycomand-next-generation-vehicle-infotainment-system_100189022_m.jpg
• myCOMAND UI3: http://74.220.219.73/~emercede/magazine/wp-content/uploads/command-635x360.jpg
• myCOMAND UI4: http://media.emercedesbenz.com/magazine/wp-content/uploads/683061_1230847_5051_3788_08C1169_003.jpg
• server: http://www.dtssyr.com/images/server-opt.jpg
• user: http://www.veryicon.com/icon/png/System/Free%20Business/User.png
• music icon: http://pivotslager1.webs.com/Music-icon.png
• internet radio: http://appyourmac.com/wp-content/uploads/2009/04/aol-radio-icon1.png
• news: http://www.psdgraphics.com/wp-content/uploads/2009/12/web-news-icon.jpg
• voronka: http://www.euro-pressol.ru/_dr/1/96425.gif
• info: http://www.psdgraphics.com/wp-content/uploads/2009/04/info-icon.jpg
• knob1: http://i.ytimg.com/vi/vQL0tqLCjcQ/0.jpg
• http://osp.mans.edu.eg/elbeltagi/AI%20FuzzyRelations.pdf
• http://www.intelligent-systems.info/classes/ee509/6.pdf
Akmal Qodirov 24