A method for evaluating head-controlled computer input devices using Fitts law
Human Factors - Assisting people with functional impairments
Accuracy measures for evaluating computer pointing devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human Movement Performance in Relation to Path Constraint - The Law of Steering in Locomotion
VR '03 Proceedings of the IEEE Virtual Reality 2003
"Beating" Fitts' law: virtual enhancements for pointing facilitation
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
An architecture to improve the generalization of interacting device developments for accessibility
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
Automatically detecting pointing performance
Proceedings of the 13th international conference on Intelligent user interfaces
Understanding pointing problems in real world computing environments
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic assessment and adaptation to real world pointing performance
ACM SIGACCESS Accessibility and Computing
Pointassist for older adults: analyzing sub-movement characteristics to aid in pointing tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ability-Based Design: Concept, Principles and Examples
ACM Transactions on Accessible Computing (TACCESS)
Cursor navigation using haptics for motion-impaired computer users
EuroHaptics'12 Proceedings of the 2012 international conference on Haptics: perception, devices, mobility, and communication - Volume Part I
Two-Part Models Capture the Impact of Gain on Pointing Performance
ACM Transactions on Computer-Human Interaction (TOCHI)
Distinguishing Users By Pointing Performance in Laboratory and Real-World Tasks
ACM Transactions on Accessible Computing (TACCESS)
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We designed and evaluated an agent that recommends a pointing device gain for a given user, with mixed success. 12 participants with physical impairments used the Input Device Agent (IDA), to determine a recommended gain based on their performance over a series of target acquisition trials. IDA recommended a gain other than the Windows default for 9 of 12 subjects. Subsequent performance using the IDA gain showed no meaningful differences as compared to the default setting or users' pre-study settings. Across all gains used by these subjects, however, gain did have a significant effect on throughput, percent of error-free trials, cursor entries, and overshoot. Linear models of gain's effect on performance showed that its effect on throughput is relatively small, with only a 13% difference from highest throughput (at gain = 10) to lowest throughput (at gain = 6). Cursor entries were more strongly affected, showing a steady increase with increasing gain.