Abstract | ||
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When compared to conventional desktop mouse input, touch input on handheld devices suffers from the lack of a main feature: that of a mouseover state that can provide users with dynamic pro-active information. In addition, with touch screens, selection precision is limited by undesired extra finger tracking during finger press and lift movements. We propose TouchOver, a multi-modal input technique for touch-screen accelerometers-enabled handheld devices where positioning is performed with a finger on the touch surface, while selection is triggered by a gentle "tilt forward" of the device. By doing so, TouchOver adds a mouseover-like state and improves selection precision while remaining compatible with existing interaction techniques such as Shift [10] devised to improve precision. Our formal user study shows a significant precision improvement over two other selection techniques as well as a good tradeoff between speed and accuracy. |
Year | DOI | Venue |
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2011 | 10.1145/2044354.2044362 | IHM |
Keywords | Field | DocType |
touch surface,selection technique,touch screen,touch-based handheld device,significant precision improvement,undesired extra finger tracking,decoupling positioning,multi-modal input technique,finger press,touch input,selection precision,conventional desktop mouse input,touch,mobile devices,handheld device,interaction technique,gestures,mobile device | Computer vision,Gesture,Computer science,Decoupling (cosmology),Finger tracking,Mobile device,Artificial intelligence,Mouseover,Computer hardware | Conference |
Citations | PageRank | References |
3 | 0.38 | 9 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adriano Scoditti | 1 | 13 | 1.16 |
Thomas Vincent | 2 | 320 | 27.52 |
J. Coutaz | 3 | 39 | 6.23 |
Renaud Blanch | 4 | 336 | 25.04 |
Nadine Mandran | 5 | 115 | 17.05 |