Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps
Anuradha Madugalla, Yutan Huang, John Grundy, Min Hee Cho, Lasith, Koswatta Gamage, Tristan Leao, Sam Thiele

TL;DR
This paper presents a framework for creating adaptive, accessible graphics in software, specifically for public space maps, accommodating multiple disabilities and improving usability for diverse users.
Contribution
It introduces a novel framework that generates adaptive graphics for multiple disabilities, including those with multiple concurrent impairments, based on a case study with public space maps.
Findings
Participants found the system easy to use
The graphics addressed most disability requirements
The approach benefits diverse disability groups
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…
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Taxonomy
TopicsDigital Accessibility for Disabilities
