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Use of Eye Movement Gestures for Web Browsing Kevin Juang Frank Jasen Akshay Katrekar Joe Ahn.

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Presentation on theme: "Use of Eye Movement Gestures for Web Browsing Kevin Juang Frank Jasen Akshay Katrekar Joe Ahn."— Presentation transcript:

1 Use of Eye Movement Gestures for Web Browsing Kevin Juang Frank Jasen Akshay Katrekar Joe Ahn

2 Motivation  Eye Gestures Gaze input Mouse gestures  Web Browsing Common task in modern computing Well suited to eye movement gestures  Well learned, emphasizing speed  Natural mapping of navigational directions

3 Prior Work  Gaze Input Issues (Ashmore) Eye tracker accuracy Sensor lag Fixation jitter Midas touch  Mouse Gesture Issues (Moyle & Cockburn) Complicated non-linear gestures Not truly modeless Greater need for feedback

4 Prior Work  Off-Screen Targets (Isokoski) Addressed previous gaze input issues Eye typing maybe not a good domain Need for physical off-screen targets

5 Methodology (Apparatus)  Tobii ET-1750 from Tobii Technology  17-inch TFT 1280x1024 Monitor .5˚ accuracy with a 50 Hz sampling rate  25-35 ms Latency  28˚ visual angle vertically and horizontally

6 Methodology (Apparatus)

7 Methodology (Stimulus)

8 Methodology (Implementation)  Gaze point determined every 20 ms  Four hot zones  Middle 30% of each edge  Extended 15% off the screen  100 ms delay  Flags set when in hot zone

9 Methodology (Implementation)

10

11 Hypotheses  Eye gesture should be both faster and less accurate compared to mouse  Eye fatigue should cause eye gesture to become slower as the number of instructions increases.

12 Results Number of subjects = 15

13 Results

14 Discussion  Trial Length and Input Method Interaction Suggests mouse input in certain situations Test results perhaps not indicative of real world  Speed-Accuracy Tradeoff Faster even accounting for error correction Speed benefit outweighs accuracy loss Future results could be even more favorable

15 Survey Results  Ease of use (eye gestures) ---- 3.53  Speed and efficiency in using eye gestures compared to mouse input ---- 4.53  Overall satisfaction in using eye gestures compared to mouse ---- 3.60  Eye gesture as an effective means of web browsing navigation ---- 3.93

16 Further Work  Real World Setting High fidelity Browser implementation Other domains outside web browsing  Additional gestures Corners Following a link Magnitude of scrolling

17 Conclusions  Eye Gesture System Leverages gaze input and mouse gestures Web browsing as a good domain Off-screen hot zones  Benefits Speed User satisfaction

18 Questions?


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