Visual profiles: A critical component of universal access

Julie A. Jacko, Max A. Dixon, Robert H. Rosa, Ingrid Scott, Charles J. Pappas

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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 languageEnglish (US)
Pages (from-to)330-337
Number of pages8
JournalConference on Human Factors in Computing Systems - Proceedings
StatePublished - 1999

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Social Sciences(all)
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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