Understanding users with Diabetic Retinopathy: factors that affect performance in a menu selection task.
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| Title: | Understanding users with Diabetic Retinopathy: factors that affect performance in a menu selection task. |
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| Authors: | Edwards, PJ (AUTHOR), Barnard, L (AUTHOR), Leonard, VK (AUTHOR), Yi, JS (AUTHOR), Moloney, KP (AUTHOR), Kongnakorn, T (AUTHOR), Jacko, JA (AUTHOR), Sainfort, F (AUTHOR) |
| Source: | Behaviour & Information Technology. May/Jun2005, Vol. 24 Issue 3, p175-186. 12p. |
| Subjects: | Medical informatics, Utilities (Computer programs), Computer systems, Logistic regression analysis, Systems engineering |
| Abstract: | This paper examines factors that affect performance on a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Linear and logistic regression models were used to examine various contextual factors that influenced task efficiency (time) and accuracy (errors). Interface characteristics such as multimodal feedback, Windows® accessibility settings, and menu item location were investigated along with various visual function and participant characteristics. Results indicated that Windows® accessibility settings and other factors, including age, computer experience, visual acuity, contrast sensitivity, and menu item location, were significant predictors of task performance. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | This paper examines factors that affect performance on a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Linear and logistic regression models were used to examine various contextual factors that influenced task efficiency (time) and accuracy (errors). Interface characteristics such as multimodal feedback, Windows® accessibility settings, and menu item location were investigated along with various visual function and participant characteristics. Results indicated that Windows® accessibility settings and other factors, including age, computer experience, visual acuity, contrast sensitivity, and menu item location, were significant predictors of task performance. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0144929X |
| DOI: | 10.1080/01449290512331323189 |
