Abstract
We tested PointAssist, software that assists in pointing tasks by detecting difficulty through a sub-movement analysis and triggering help, with adjustments proposed to personalize the assistance provided to individuals with motor impairments. A within-subjects study with sixteen individuals with fine motor skills impairments resulted in statistically significant effects on accuracy using Friedman's test with (?2(1) = 6.4, p = .011) in favor of personalized PointAssist compared to no assistance. Copyright © 2013 ACM.
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Salivia, G., & Hourcade, J. P. (2013). PointAssist: Assisting individuals with motor impairments. In Conference on Human Factors in Computing Systems - Proceedings (pp. 1213–1222). https://doi.org/10.1145/2470654.2466157
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