CS415 Human Computer...

October 4, 2015 Sam Siewert

CS415 Human Computer Interaction

Lecture 7 – Implementation and Testing Tools for HCIs

Coming Up… Quiz on Wednesday for Part II – Chapters 5,6,7,8,9 Review Next Week on Monday, 10/12 Exam on Wed and Friday, 10/14, 16 – Chapters 1-9 – Knowledge and Concepts on Wednesday – True/False, Multiple-

Choice, Short Answer – Problem Solving on Friday – Analysis, Design, Implementation,

Test

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Window Managers Context for all Applications – Windows 7,8, 10 – Linux / Unix X-Windows

Ubuntu Red Hat (Centos) Fedora

– Mac OS-X – Android OS – iOS

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Client/Server Window Managers Window Managers like X-Windows are Client/Server – Applications are

Clients of the Window Manager

– The Server is the Window Manager

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X-Window System C programming Low-Level to Widget Level GUI Code Generators X Series – O’Reilly Douglas Young Book X Protocol Xlib X toolkit X Widet Set (Motif, Athena)

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Apple Macintosh Windowing System Macintosh and Mac SE (1984-89) – Graphics Toolbox (ROM code for Drawing and Widgets) – Common Look and Feel – Simplified Programming for Interactive GUI/WIMP Applications

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Human-Computer Interaction, 3rd Edition, by Alan Dix, Janet Finlay, Gregory Abowd, Russell Beale

X-Windows

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Windowing System Widget Sets Windows OS-X Unix / Linux

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Mobile Development Android Studio for AOS

Phone Emulators SDK - Java Apps Linux NDK (Native Development Kit) – Skia Graphics Engine, SGL

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Widget Application Updates Interactive Design Event Handlers Event Masks Register Call-back Update State

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WIMP Interaction Toolkit Interaction Widgets and Gadgets Simplify Development

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Class Hierarchy OO is Helpful, but Not Required X-Windows is Object-based C code

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True OO Interactive Systems Development

Smalltalk and Model-View-Controller Interactive System Programming – Xerox PARC Early 1980’s

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Modern OO Interactive System Development

Java Swing, AWT, NetBeans Python, PyTk Qt Creator (C++) Visual Studio WinForm (C#) X-Windows (Object-based, but not OOP) Many more … Java, Ruby, Objective-C, C++, C#, Python Sam Siewert 14

Interactive System Evaluation Testing – Traditional SQA Usability However is a Specialized form of Testing and Evaluation Field Tests with Users (Human side of HCI)

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Cognitive Walkthrough Similar to Code Walkthrough, but with Focus on “how easy a system is to use” – Cognitive Load – Efficiency and Ability to Complete Tasks (User Community)

Normally requires a Mock-up or Prototype

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Evaluation Method Answer 4 Questions for Each Step in Action Sequence (Task specified as a Goal)

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1) Effect of Action Matches User Goal?

2) Action Visibility / Availability?

3) Recognition of Actions for Goals?

4) Visible Easy to Understand Feedback for Goal Attainment?

How to Measure? - Heuristic Nielsen’s Ten Heuristics

1. Visibility of Status 2. System / Real-World

Match 3. User Control / Freedom 4. Consistency / Standards 5. Error Prevention 6. Recognition over Recall 7. Efficiency 8. Aesthetic – Less is More 9. Design for Error 10. Built-in Help

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Empirical Methods of Evaluation Participants – Real Users, Sample Size, Small and in Depth vs. Large and Shallow Variables – Those that are Changed (independent) and those that are Measured (dependent) – E.g. Complete Task with WIMP GUI Widget #1 – Complete Same Task with CLI – Task Time/Efficiency and Correct Outcome Measured – CLI vs WIMP GUI Widget - Changed

Hypothesis – Prediction of Outcome (to Test) – If Differences in Measure can’t be Explained by Chance (Null

Hypothesis is Disproven) – Outcomes Compared with Level of Significance (Sample Size,

Mean, Standard Deviation, Reliability, Confidence, T-test)

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Empirical Methods of Evaluation Experimental Design – Between-subjects and within-subjects – Between Subjects is Ideal, but Costly (need more subjects) – Within Subjects is lower Cost, but Subjects learn, develop a bias,

and results can be impacted

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General Usability – Statistical Measures

Looking to Server the Majority of Users - Significance E.g. Can Most or Majority of Users Efficiently Complete a Test Task?

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Statistics – Mapping to HCI Independent Variable (what is changed in each experiment) Dependent Variable (not changed – e.g. goal or task) Analysis Technique (math to determine significance of results and model)

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Human-Computer Interaction, 3rd Edition, by Alan Dix, Janet Finlay, Gregory Abowd, Russell Beale

Icon Experiment from Book

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Evaluation through Participation Observer and Track User While Experiment is Run – In addition to feedback from user – In addition to other metrics (time, correctness)

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Human-Computer Interaction, 3rd Edition, by Alan Dix, Janet Finlay, Gregory Abowd, Russell Beale

An Automobile-Integrated System for Assessing and Reacting to Driver Cognitive Load, Pompei, Sharon, Buckley, Kemp, http://www.cs.cmu.edu/~dod/papers/pompei02.pdf

Color Coding Example from Book

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Review Practice Quiz Today [or Next Monday if we Ran out of Time] Scan, Question [Should Already by Done] Chapters 1-9 Re-read, Outline and Review Memorize Fundamental Rules, Guidelines, Principles

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