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Predicting Pointing Time from Hand Strength

Pradipta Biswas18 Contact Information and Peter Robinson18 Contact Information

(18)  University of Cambridge Computer Laboratory, 15 JJ Thomson Avenue, Cambridge, CB3 0FD, UK
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.

Keywords  Pointing tasks - interaction - performance - motor-impariment


Contact Information Pradipta Biswas
Email: pb400@cl.cam.ac.uk

Contact Information Peter Robinson
Email: pr@cl.cam.ac.uk
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