Visual profiles: a critical component of universal access

This research focuses on characterizing visually impairedcomputer users performance on graphical user interfaces by linkingclinical assessments of low vision with visual icon identification.This was accomplished by evaluating user performance on basicidentification and selection tasks within a graphical userinterface, comparing partially sighted user performance with fullysighted user performance, and linking task performance to specificprofiles of visual impairment. Results indicate that visual acuity,contrast sensitivity, visual field and color perception weresignificant predictors of task performance. In addition, icon sizeand background color significantly influenced performance.Suggestions for future research are provided. Keywords

[1]  Sara J. Czaja,et al.  Computer Technology and the Older Adult , 1997 .

[2]  Ben Shneiderman,et al.  Designing the user interface (2nd ed.): strategies for effective human-computer interaction , 1992 .

[3]  Andrew Sears,et al.  Designing interfaces for an overlooked user group: considering the visual profiles of partially sighted users , 1998, Assets '98.

[4]  Robert W. Proctor,et al.  Human factors in simple and complex systems , 1993 .

[5]  J. M. Wood,et al.  Effect of age and visual impairment on driving and vision performance : Older drivers , 1994 .

[6]  Dennis E. Egan,et al.  Handbook of Human Computer Interaction , 1988 .

[7]  William Buxton,et al.  There's more to interaction than meets the eye: some issues in manual input , 1987 .

[8]  Denis G. Pelli,et al.  THE DESIGN OF A NEW LETTER CHART FOR MEASURING CONTRAST SENSITIVITY , 1988 .

[9]  Joanne M. Wood,et al.  EFFECT OF AGE AND VISUAL IMPAIRMENT ON DRIVING AND VISION PERFORMANCE , 1994 .

[10]  Ben Shneiderman,et al.  Designing the User Interface: Strategies for Effective Human-Computer Interaction , 1998 .

[11]  Harold R. Lindman Analysis of Variance in Experimental Design , 1991 .

[12]  Ephraim P. Glinert,et al.  Improving GUI accessibility for people with low vision , 1995, CHI '95.

[13]  James D. Foley,et al.  The human factors of computer graphics interaction techniques , 1984, IEEE Computer Graphics and Applications.

[14]  K Bandeen-Roche,et al.  Functional status and quality of life measurement among ophthalmic patients. , 1994, Archives of ophthalmology.

[15]  Alistair D. N. Edwards Computers and people with disabilities , 1995 .

[16]  F. Ferris,et al.  New visual acuity charts for clinical research. , 1982, American journal of ophthalmology.

[17]  I L Bailey,et al.  New Design Principles for Visual Acuity Letter Charts* , 1976, American journal of optometry and physiological optics.

[18]  Peter Gregor,et al.  Human Computer Interfaces for People with Disabilities , 1997 .