Publication | Closed Access
Precise selection techniques for multi-touch screens
374
Citations
28
References
2006
Year
Unknown Venue
EngineeringDisplay TechnologySecondary FingerTouch User InterfaceNovel InterfaceVirtual RealityEye TrackingWearable TechnologyDual Finger SelectionsHuman-computer InteractionMultimodal Human Computer InterfacePrecise Selection TechniquesGesture RecognitionHuman Fingers
Precise touch screen interactions are hindered by finger size and limited sensing precision. The study introduces Dual Finger Selections and SimPress to enable precise selection of very small targets on multi‑touch displays. The authors implemented the techniques on a computer‑vision‑based multi‑touch tabletop, using a secondary finger to adjust the control‑display ratio for pixel‑accurate targeting and a SimPress clicking method, and evaluated three variants against a baseline in a formal user study. All three techniques reduced error rates and were preferred over the baseline, with Stretch emerging as the overall best performer.
The size of human fingers and the lack of sensing precision can make precise touch screen interactions difficult. We present a set of five techniques, called Dual Finger Selections, which leverage the recent development of multi-touch sensitive displays to help users select very small targets. These techniques facilitate pixel-accurate targeting by adjusting the control-display ratio with a secondary finger while the primary finger controls the movement of the cursor. We also contribute a "clicking" technique, called SimPress, which reduces motion errors during clicking and allows us to simulate a hover state on devices unable to sense proximity. We implemented our techniques on a multi-touch tabletop prototype that offers computer vision-based tracking. In our formal user study, we tested the performance of our three most promising techniques (Stretch, X-Menu, and Slider) against our baseline (Offset), on four target sizes and three input noise levels. All three chosen techniques outperformed the control technique in terms of error rate reduction and were preferred by our participants, with Stretch being the overall performance and preference winner.
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