APA
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Luy, C., Law, J. M., Ho, L., Matheson, R., Cai, T., Madugalla, A., & Grundy, J. C. (2021). A Toolkit for Building More Adaptable User Interfaces for Vision-Impaired Users. IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments.
Chicago/Turabian
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Luy, Calvin, Jeremy M. Law, Lily Ho, Richard Matheson, Tracey Cai, Anuradha Madugalla, and John C. Grundy. “A Toolkit for Building More Adaptable User Interfaces for Vision-Impaired Users.” IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments (2021).
MLA
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Luy, Calvin, et al. “A Toolkit for Building More Adaptable User Interfaces for Vision-Impaired Users.” IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments, 2021.
BibTeX Click to copy
@article{calvin2021a,
title = {A Toolkit for Building More Adaptable User Interfaces for Vision-Impaired Users},
year = {2021},
journal = {IEEE Symposium on Visual Languages / Human-Centric Computing Languages and Environments},
author = {Luy, Calvin and Law, Jeremy M. and Ho, Lily and Matheson, Richard and Cai, Tracey and Madugalla, Anuradha and Grundy, John C.}
}
Most prior research into adaptable and adaptive user interfaces primarily focuses on facilitating consistent user experiences across devices and pays less attention to facilitating universal access for diverse end users. We address this shortcoming by developing adaptable user interface components for a category of diverse users, the vision impaired. This paper presents a framework that supports run time adaptation of web components to suit vision impaired users by using a set of adaptable, reusable widgets. We developed a prototype using these components and evaluated its effectiveness. Our results show that an such an adaptable user interface provides significant benefit in many key W3C accessibility areas, helping to make the web more accessible for diverse end users.
