Macular Degeneration and Visual Search: What We Can Learn from Eye Movement Analysis

Traditional approaches to the evaluation of a computer interface typically uses methods such as cognitive walk through, GOMs, task analysis, user's performance and self-report. These are effective approaches; however, they are more subjective than objective. Eye-movement analysis provides a uni...

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Bibliographic Details
Published in:Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2000-07, Vol.44 (29), p.116-119
Main Authors: Jacko, Julie A., Barreto, Armando B., Chu, Josey Y. M., Scott, Ingrid U., Rosa, Robert H., Pappas, Charles C.
Format: Article
Language:English
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Summary:Traditional approaches to the evaluation of a computer interface typically uses methods such as cognitive walk through, GOMs, task analysis, user's performance and self-report. These are effective approaches; however, they are more subjective than objective. Eye-movement analysis provides a unique and useful strategy for evaluating a computer interface. Additionally, it allows a quantitative approach to understand how users interact with the computer. In this paper, background color, icon size and number of icon presentation were tested on participants with Age-related Macular Degeneration. The experimental design is a matching to sample task where participants were presented with a sample icon and the task is to match the sample icon to a set of icons. Eye-movement data were recorded through video output and digitized for analysis. Results of the study showed that icon size and the number of icon presentation have a significant effect on the time participants took to search and identify the target icon.
ISSN:1541-9312
1071-1813
2169-5067
DOI:10.1177/154193120004402931