The “prince” technique: Fitts' law and selection using area cursors
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An empirical assessment of adaptation techniques
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Automatically generating user interfaces adapted to users' motor and vision capabilities
Proceedings of the 20th annual ACM symposium on User interface software and technology
Enhanced area cursors: reducing fine pointing demands for people with motor impairments
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
| Hi-index | 0.00 |
Computer users with impaired dexterity face difficulties with traditional pointing methods, particularly on small, densely packed user interfaces. Past research in software-based solutions can usually be categorized as one of two approaches. They either modify the user interface to fit the users' needs or modify the user's interaction with the cursor. Each approach, however, has limitations. Modifying the user interface increases the navigation cost of some items by displacing them to other screens, while enhanced area cursors, a pointing technique for small, densely packed targets, require users to perform multiple steps to acquire a target. This study aims to minimize the costs of these two approaches through a new interaction technique, Adaptive Click-and-Cross. The technique was found to lower error rates relative to traditional pointing (8.5% vs 16.0%) with slightly faster acquisition times compared to two other techniques for modifying the user interface or cursor.