Skip navigation

Understanding how to improve the accessibility of computers through cursor control studies

Understanding how to improve the accessibility of computers through cursor control studies

Keates, Simeon ORCID: 0000-0002-2826-672X, Clarkson, P. John and Robinson, Peter (2002) Understanding how to improve the accessibility of computers through cursor control studies. In: Proceeding CHI EA '02 Extended Abstracts on Human Factors in Computing Systems: changing the world, changing ourselves. ACM, New York, NY, USA, pp. 766-767. ISBN 1-58113-454-1 (doi:https://doi.org/10.1145/506443.506587)

Full text not available from this repository.

Abstract

People with motion-impairments often find it difficult to perform many of the actions required to interact with a computer. This paper presents the results of an on-going series of experiments designed to understand how using force feedback affects interaction for motion-impaired users. Point and click tasks were analyzed using new cursor control measures. The results showed significant improvement in throughput for all users with force-feedback and the cursor control measures were effective in capturing the differences between the conditions.

Item Type: Conference Proceedings
Title of Proceedings: Proceeding CHI EA '02 Extended Abstracts on Human Factors in Computing Systems: changing the world, changing ourselves
Additional Information: [1] Conference CHI 2002 was held in Minneapolis, Minnesota, USA, 20-25 April, 2002, . [2] Copyright: © 2002 ACM
Uncontrolled Keywords: understanding how to improve accessibility of computers through cursor control studies, force feedback, motion-impaired users, cursor studies
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
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/12962

Actions (login required)

View Item View Item