Gesture avatar: a technique for operating mobile user interfaces using gestures by Hao Lu and Yang Li. Published in the CHI '11 Proceedings of the 2011 annual conference on Human factors in computing systems.
- Yang Li is currently a Senior Research Scientist working for Google. He spent time at the University of Washington as a research associate in computer science and engineering. He holds a PhD in Computer Science from the Chinese Academy of Sciences.
- Hao Lu is currently a graduate student at University of Washington in Computer Science and Engineering. He is also a member of the DUB Group.
Summary
- Hypothesis
- Gesture Avatar can provide a useful, viable solution to the problem of imprecise finger input on touch-screen surfaces. The paper also presents three separate hypothesis regarding GA's relation to Shift:
- (H1) Gesture Avatar will be slower than Shift on larger targets, but faster on small targets.
- (H2) Gesture Avatar will have fewer errors than Shift.
- (H3) Mobile situations such as walking will decrease the time performance and increase the error rate of Shift, but have little influence on Gesture Avatar
- Methods
- Participants were asked to test both Shift and Gesture Avatar, with half of the group starting on one technology and the other half starting with the other. Participants were also asked to complete tasks both sitting and walking. To begin with, they were asked to select different targets of varying size, complexity, and ambiguity and and performance time was measured between the tap of the start target and the selection of the final target. The researchers aimed to address both letter ambiguity and and commonness by using 24 different letters and controlling the distance between the objects and the number of letters used.
- Results
- Gesture Avatar was much slower than Shift when target size was 20px, but faster than shift when target size decreased to 10px. The two techniques were approximately equal at 15px, and both techniques increased in speed with larger target sizes. Shift with MobileState was faster when sitting than when walking, but Gesture Avatar was roughly the same between the two activities.
- Contents
- This paper presents and explores Gesture Avatar, an application designed to combat the issue of imprecision from finger-based touch screen technology. The authors developed their product on an Android and tested it against the current Shift technology to better understand where it was limited and where it excelled. Overall, their results match their hypotheses and the product itself received a positive reception from test subjects.
Discussion
I think the researchers did a very good job of testing and presenting this project. I am glad to see that there is significant strides being taken in this area of precision as it is a prevalent issue among touch-screens today. I don't have any problems with the paper itself; it is well written, thoroughly researched and tested, and logically presented.
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