Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces

We evaluate two systems for automatically generating personalized interfaces adapted to the individual motor capabilities of users with motor impairments. The first system, SUPPLE, adapts to users' capabilities indirectly by first using the ARNAULD preference elicitation engine to model a user's preferences regarding how he or she likes the interfaces to be created. The second system, SUPPLE++, models a user's motor abilities directly from a set of one-time motor performance tests. In a study comparing these approaches to baseline interfaces, participants with motor impairments were 26.4% faster using ability-based user interfaces generated by SUPPLE++. They also made 73% fewer errors, strongly preferred those interfaces to the manufacturers' defaults, and found them more efficient, easier to use, and much less physically tiring. These findings indicate that rather than requiring some users with motor impairments to adapt themselves to software using separate assis...

• Type: Conference
• Year: 2008
• Where: CHI
• Authors: Krzysztof Z. Gajos, Jacob O. Wobbrock, Daniel S. Weld
• Keywords: Ability-based User Interfaces, CHI 2008, Human Computer Interaction, Interfaces Acm Classification, Motor Impairments