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Investigating the applicability of user models for motion-impaired users

Investigating the applicability of user models for motion-impaired users

Keates, Simeon, Clarkson, John and Robinson, Peter (2000) Investigating the applicability of user models for motion-impaired users. In: Proceedings of the fourth international ACM conference on Assistive technologies. ACM, New York, NY, USA, pp. 129-136. ISBN 1-58113-313-8 (doi:10.1145/354324.354354)

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Abstract

This paper considers the differences between users with motion-impairments and able-bodied users when they interact with computers and the implications for user models. Most interface design and usability assessment practices are based on explicit or implicit models of user behaviour. This paper studies the applicability of an existing interface design user model to motion-impaired users for the relatively straightforward task of button activation. A discussion of the empirical results is provided and the paper concludes that there are significant differences between the behaviour of motion-impaired users and the accepted modelling theory.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the fourth international ACM conference on Assistive technologies
Additional Information: [1] ASSETS '00 The 4th ACM SIGCAPH Conference on Assistive Technologies was held in Arlington, VA, USA — 13-15 November, 2000 [2] Acknowledgements (funding): The authors would like to thank the EPSRC for funding this research. [3] Copyright: ACM New York, NY, USA ©2000 [4] Sponsor: SIGCAPH ACM SIGCAPH Computers and the Physically Handicapped
Uncontrolled Keywords: investigating applicability of user models motion-impaired users, Universal Access, motion-impaired users, user models
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 14 Oct 2016 09:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/12985

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