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Precise selection techniques for multi-touch screens
Abstract
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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Cited by
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Vogel, D., & Baudisch, P. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240727 · Cited by 486
Self-citationScalable Webcam Eye Tracking by Learning from User Interactions
Papoutsaki, A. (2015) · Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/2702613.2702627 · Cited by 92
Accessible Touchscreen Technology for People with Visual Impairments: A Survey
Grussenmeyer, W., & Folmer, E. (2017) · ACM Transactions on Accessible Computing · doi:10.1145/3022701 · Cited by 86
One-handed thumb interaction of mobile devices from the input accuracy perspective
Park, Y. S., & Han, S. H. (2010) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2010.08.001 · Cited by 80
Jung, E. S., & Im, Y. (2015) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2015.05.008 · Cited by 36
Effects of Aging on Small Target Selection with Touch Input
Sultana, A., & Moffatt, K. (2019) · ACM Transactions on Accessible Computing · doi:10.1145/3300178 · Cited by 14
Wobbrock, J. O. (2014) · Advances in Medical Technologies and Clinical Practice · doi:10.4018/978-1-4666-4438-0.ch008 · Cited by 12
Li, Z., Zhao, M., Das, D., ZHAO, H., Ma, Y., Liu, W., Beaudouin-Lafon, M., Wang, F., Ramakrishnan, IV, & Bi, X. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517472 · Cited by 10
Metadata
- Authors
- Benko, H., Wilson, A. D., & Baudisch, P.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2006-04-22
- Pages
- 1263-1272
- OpenAlex
- W2096986574
- Cited by
- 381
- References
- 0
- FWCI
- 19.94
- Type
- conference paper
- Language
- en
- Open access
- closed
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