Predicting Pointing Time from Hand Strength

Authors:
Pradipta Biswas;Peter Robinson
Affiliations:
University of Cambridge Computer Laboratory, Cambridge, UK CB3 0FD;University of Cambridge Computer Laboratory, Cambridge, UK CB3 0FD
Venue:
USAB '09 Proceedings of the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for e-Inclusion
Year:
2009

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Abstract

Pointing tasks form a significant part of human-computer interaction in graphical user interfaces. We have developed a model to predict the task completion time for pointing tasks for people with motor-impairment. As part of the model, we have also developed a new scale of characterizing the extent of disability of users by measuring their grip strength. We have validated the model by conducting two trials involving people with motor-impairment and in both trials the model has predicted pointing time with statistically significant accuracy.