Human interface design and the handicapped user
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A physical skills based strategy for choosing an appropriate interface method
Extra-ordinary human-computer interaction
Cursor measures for motion-impaired computer users
Proceedings of the fifth international ACM conference on Assistive technologies
Designing for dynamic diversity: interfaces for older people
Proceedings of the fifth international ACM conference on Assistive technologies
Designing human-computer interfaces for quadriplegic people
ACM Transactions on Computer-Human Interaction (TOCHI)
Perception and haptics: towards more accessible computers for motion-impaired users
Proceedings of the 2001 workshop on Perceptive user interfaces
Mouse movements of motion-impaired users: a submovement analysis
Assets '04 Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
Characterising user capabilities to support inclusive design evaluation
Universal Access in the Information Society
ACM Transactions on Accessible Computing (TACCESS)
Performance-based functional assessment: integrating multiple perspectives
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
Ability-Based Design: Concept, Principles and Examples
ACM Transactions on Accessible Computing (TACCESS)
Hi-index | 0.00 |
The description of users with motor limitations is a significant dilemma for accessibility researchers and system designers alike. Current practice is to use descriptors such as medical diagnoses to represent a person's physical capabilities. This solution is not adequate due to similarities in functional capabilities between diagnoses as well as differences in capabilities within a diagnosis. An alternative is user self-reporting or observation by another person. These solutions are also problematic because they rely on individual interpretation of capabilities. The current research focuses on defining an objective, quantitative and repeatable methodology for assessing a person's physical capabilities in relation to use of computer technology. Results from this initial study are encouraging, including the development of a model which accounts for up to 85% of the variance in user capabilities.