PointAssist: assisting individuals with motor impairments

  • Authors:
  • Guarionex Salivia;Juan Pablo Hourcade

  • Affiliations:
  • Minnesota State University, Mankato, Minnesota, USA;University of Iowa, Iowa City, Iowa, USA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2013

Quantified Score

Hi-index 0.01

Visualization

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 (Χ2(1)=6.4, p=.011 in favor of personalized PointAssist compared to no assistance.