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MicroRolls: expanding touch-screen input vocabulary by distinguishing rolls vs. slides of the thumb
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Techniques for mobile interaction table of contents
Pages 927-936  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Anne Roudaut  TELECOM ParisTech - CNRS LTCI, Alcatel-Lucent Bell Labs France, Paris, France
Eric Lecolinet  TELECOM ParisTech - CNRS LTCI, Paris, France
Yves Guiard  TELECOM ParisTech - CNRS LTCI, Paris, France
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The input vocabulary for touch-screen interaction on handhelds is dramatically limited, especially when the thumb must be used. To enrich that vocabulary we propose to discriminate, among thumb gestures, those we call MicroRolls, characterized by zero tangential velocity of the skin relative to the screen surface. Combining four categories of thumb gestures, Drags, Swipes, Rubbings and MicroRolls, with other classification dimensions, we show that at least 16 elemental gestures can be automatically recognized. We also report the results of two experiments showing that the roll vs. slide distinction facilitates thumb input in a realistic copy and paste task, relative to existing interaction techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Anne Roudaut: colleagues
Eric Lecolinet: colleagues
Yves Guiard: colleagues