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Strategic design for users with diabetic retinopathy: factors influencing performance in a menu-selection task
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Source ACM SIGACCESS Conference on Assistive Technologies archive
Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility table of contents
Atlanta, GA, USA
SESSION: Designing for individuals with visual impairments table of contents
Pages: 118 - 125  
Year of Publication: 2004
ISBN:1-58113-911-X
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Authors
Paula J. Edwards  Georgia Institute of Technology, Atlanta, GA
Leon Barnard  Georgia Institute of Technology, Atlanta, GA
V. Kathlene Emery  Georgia Institute of Technology, Atlanta, GA
Ji Soo Yi  Georgia Institute of Technology, Atlanta, GA
Kevin P. Moloney  Georgia Institute of Technology, Atlanta, GA
Thitima Kongnakorn  Georgia Institute of Technology, Atlanta, GA
Julie A. Jacko  Georgia Institute of Technology, Atlanta, GA
François Sainfort  Georgia Institute of Technology, Atlanta, GA
Pamela R. Oliver  Nova Southeastern University, College of Optometry, Ft. Lauderdale, Florida
Joseph Pizzimenti  Nova Southeastern University, College of Optometry, Ft. Lauderdale, Florida
Annette Bade  Nova Southeastern University, College of Optometry, Ft. Lauderdale, Florida
Greg Fecho  Nova Southeastern University, College of Optometry, Ft. Lauderdale, Florida
Josephine Shallo-Hoffmann  Nova Southeastern University, College of Optometry, Ft. Lauderdale, Florida
Sponsors
SIGACCESS: ACM Special Interest Group on Accessible Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper examines factors that affect performance of a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Interface characteristics such as multimodal feedback, Windows® accessibility settings, and menu item location were investigated. Analyses of Variance (ANOVA) were employed to examine the effects of interface features on task performance. Linear regression was used to further examine and model various contextual factors that influenced task performance. Results indicated that Windows® accessibility settings significantly improved performance of participants with more progressed DR. Additionally, other factors, including age, computer experience, visual acuity, and menu location were significant predictors of the time required for subjects to complete the task.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Paula J. Edwards: colleagues
Leon Barnard: colleagues
V. Kathlene Emery: colleagues
Ji Soo Yi: colleagues
Kevin P. Moloney: colleagues
Thitima Kongnakorn: colleagues
Julie A. Jacko: colleagues
François Sainfort: colleagues
Pamela R. Oliver: colleagues
Joseph Pizzimenti: colleagues
Annette Bade: colleagues
Greg Fecho: colleagues
Josephine Shallo-Hoffmann: colleagues