Optimization of Switch Keyboards
March 15, 2015 Β· Declared Dead Β· π International ACM SIGACCESS Conference on Computers and Accessibility
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Authors
Xiao Zhang, Kan Fang, Gregory Francis
arXiv ID
1503.04375
Category
cs.HC: Human-Computer Interaction
Citations
2
Venue
International ACM SIGACCESS Conference on Computers and Accessibility
Last Checked
4 months ago
Abstract
Patients with motor control difficulties often "type" on a computer using a switch keyboard to guide a scanning cursor to text elements. We show how to optimize some parts of the design of switch keyboards by casting the design problem as mixed integer programming. A new algorithm to find an optimized design solution is approximately 3600 times faster than a previous algorithm, which was also susceptible to finding a non-optimal solution. The optimization requires a model of the probability of an entry error, and we show how to build such a model from experimental data. Example optimized keyboards are demonstrated.
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