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1,001,001 Faces user testing plan for face navigation interface Tzu-Pei Grace Chen Sidney Fels Human Communication Technologies Lab.

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Presentation on theme: "1,001,001 Faces user testing plan for face navigation interface Tzu-Pei Grace Chen Sidney Fels Human Communication Technologies Lab."— Presentation transcript:

1 1,001,001 Faces user testing plan for face navigation interface Tzu-Pei Grace Chen Sidney Fels Human Communication Technologies Lab

2 What is this project about? Buddhist Deities of Sanjusangen-do Temple raises two interesting questions: –Finite set of faces for majority to identify with –Effective interface for face navigation

3 Face Searching Background Component vs. Configural navigation Component and configural approach complement each other.

4 Face Wheel Design Considered color palette, road map, and genetic tree metaphors in our design.

5 Face Wheel Design Our interface is configural navigation Navigation from average face to distinct No verbal description of faces. Key feature

6 User Testing Design 2 experiments Within subject test Factorial design Task: face matching Plan to use subjects with no face recognition impairment. Play time after the talk.

7 Experiment 1 hypothesis –Is it easier to navigate on texture & shape correlated axes? interface axes wheel fixed slider T-S correlatedT-S uncorrelated

8 Experiment 2 Hypotheses –1. Does the wheel interface work better than the slider interfaces? –2. Does the increase of the face space resolution increase the level of difficulty? interface dimension wheel fixed slider dynamic slider 3 6 finecoarse Resolution

9 Questionnaire Experiment 1 –What’s your ethnic background? Experiment 2 –Which interface do you prefer and why? –Is your preferred interface the one you are most familiar with? –Are there situations you would give different preferences to each interface?

10 Analysis of Data Factorial design calls for ANOVA For dependent variable, “face closeness”, each face matching result is given score for ANOVA process Dependent variable, time, will be analysed separately.

11 Confounding variables Everyone has different experience with faces and hence different face space in their head. Other race effect Subjects improve from familiarity with faces.

12 The End Thoughts and Suggestions?

13 Face trivia Graeme’s theorem: we’re attracted to faces like ourselves and the opposite. Face transplant will no longer be science fiction.


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