Abstract
A well-designed control-to-display gain function can improve pointing performance with indirect pointing devices like trackpads. However, the design of gain functions is challenging and mostly based on trial and error. AutoGain is a novel method to individualize a gain function for indirect pointing devices in contexts where cursor trajectories can be tracked. It gradually improves pointing efficiency by using a novel submovement-level tracking+optimization technique that minimizes aiming error (undershooting/overshooting) for each submovement. We first show that AutoGain can produce, from scratch, gain functions with performance comparable to commercial designs, in less than a half-hour of active use. Second, we demonstrate AutoGain's applicability to emerging input devices (here, a Leap Motion controller) with no reference gain functions. Third, a one-month longitudinal study of normal computer use with AutoGain showed performance improvements from participants' default functions.
| Original language | English |
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| Title of host publication | CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450367080 |
| DOIs | |
| State | Published - 21 Apr 2020 |
| Event | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
| Conference | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 |
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| Country/Territory | United States |
| City | Honolulu |
| Period | 25/04/20 → 30/04/20 |
Bibliographical note
Publisher Copyright:© 2020 ACM.
Keywords
- cd gain functions
- human performance
- pointer acceleration
- pointing
- pointing facilitation
- submovement