Abstract
This research focuses on characterizing visually impaired computer users' performance on graphical user interfaces by linking clinical assessments of low vision with visual icon identification. This was accomplished by evaluating user performance on basic identification and selection tasks within a graphical user interface, comparing partially sighted user performance with fully sighted user performance, and linking task performance to specific profiles of visual impairment. Results indicate that visual acuity, contrast sensitivity, visual field and color perception were significant predictors of task performance. In addition, icon size and background color significantly influenced performance. Suggestions for future research are provided.
Original language | English (US) |
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Pages (from-to) | 330-337 |
Number of pages | 8 |
Journal | Conference on Human Factors in Computing Systems - Proceedings |
State | Published - 1999 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- General Social Sciences
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software