Journal article
Anuradha Madugalla, Yutan Huang, John Grundy, Min Hee Cho, Lasith Koswatta Gamage, Tristan Leao, Sam Thiele
2024
2024
Semantic Scholar
ArXiv
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Cite
APA
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Madugalla, A., Huang, Y., Grundy, J., Cho, M. H., Gamage, L. K., Leao, T., & Thiele, S. (2024). Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps.
Chicago/Turabian
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Madugalla, Anuradha, Yutan Huang, John Grundy, Min Hee Cho, Lasith Koswatta Gamage, Tristan Leao, and Sam Thiele. “Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps” (2024).
MLA
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Madugalla, Anuradha, et al. Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps. 2024.
BibTeX Click to copy
@article{anuradha2024a,
title = {Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps},
year = {2024},
author = {Madugalla, Anuradha and Huang, Yutan and Grundy, John and Cho, Min Hee and Gamage, Lasith Koswatta and Leao, Tristan and Thiele, Sam}
}
Abstract
Most software applications contain graphics such as charts, diagrams and maps. Currently, these graphics are designed with a ``one size fits all"approach and do not cater to the needs of people with disabilities. Therefore, when using software with graphics, a colour-impaired user may struggle to interpret graphics with certain colours, and a person with dyslexia may struggle to read the text labels in the graphic. Our research addresses this issue by developing a framework that generates adaptive and accessible information graphics for multiple disabilities. Uniquely, the approach also serves people with multiple simultaneous disabilities. To achieve these, we used a case study of public space floorplans presented via a web tool and worked with four disability groups: people with low vision, colour blindness, dyslexia and mobility impairment. Our research involved gathering requirements from 3 accessibility experts and 80 participants with disabilities, developing a system to generate adaptive graphics that address the identified requirements, and conducting an evaluation with 7 participants with disabilities. The evaluation showed that users found our solution easy to use and suitable for most of their requirements. The study also provides recommendations for front-end developers on engineering accessible graphics for their software and discusses the implications of our work on society from the perspective of public space owners and end users.
