The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
More than dotting the i's --- foundations for crossing-based interfaces
Abstract
Today's graphical interactive systems largely depend upon pointing actions, i.e. entering an object and selecting it. In this paper we explore whether an alternate paradigm --- crossing boundaries --- may substitute or complement pointing as another fundamental interaction method. We describe an experiment in which we systematically evaluate two target-pointing tasks and four goal-crossing tasks, which differ by the direction of the movement variability constraint (collinear vs. orthogonal) and by the nature of the action (pointing vs. crossing, discrete vs. continuous). We found that participants' temporal performance in each of the six tasks was dependent on the index of difficulty formulated in the same way as in Fitts' law, but that the parameters differ by task. We also found that goal crossing completion time was shorter or no longer than pointing performance under the same index of difficulty. These regularities, as well as qualitative characterizations of crossing actions and their application in HCI, lay the foundation for designing crossing-based user interfaces
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Citations
Cites
The information capacity of the human motor system in controlling the amplitude of movement.
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Zhai, S., Conversy, S., Beaudouin-Lafon, M., & Guiard, Y. (2003) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/642611.642644 · Cited by 139
Self-citationEnhanced area cursors: reducing fine pointing demands for people with motor impairments
Findlater, L., Jansen, A., Shinohara, K., Dixon, M., Kamb, P., Rakita, J., & Wobbrock, J. O. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology · doi:10.1145/1866029.1866055 · Cited by 98
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Goal Crossing with Mice and Trackballs for People with Motor Impairments
Wobbrock, J. O., & Gajos, K. Z. (2008) · ACM Transactions on Accessible Computing · doi:10.1145/1361203.1361207 · Cited by 68
Automatically identifying targets users interact with during real world tasks
Hurst, A., Hudson, S. E., & Mankoff, J. (2010) · Proceedings of the 15th international conference on Intelligent user interfaces · doi:10.1145/1719970.1719973 · Cited by 50
Measuring the effective parameters of steering motions
Kulikov, S., MacKenzie, I. S., & Stuerzlinger, W. (2005) · CHI '05 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/1056808.1056968 · Cited by 47
Effects of Multimodal Error Feedback on Human Performance in Steering Tasks
Sun, M., Ren, X., & Cao, X. (2010) · Journal of Information Processing · doi:10.2197/ipsjjip.18.284 · Cited by 39
Wobbrock, J. O. (2014) · Advances in Medical Technologies and Clinical Practice · doi:10.4018/978-1-4666-4438-0.ch008 · Cited by 12
(2007) · doi:10.1007/3-540-34874-3_10 · Cited by 7
Metadata
- Authors
- Accot, J., & Zhai, S.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2002-04-20
- Pages
- 73-80
- OpenAlex
- W2033288247
- Cited by
- 372
- References
- 1
- FWCI
- 8.29
- Type
- conference paper
- Language
- en
- Open access
- closed
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