Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866929206558982144 |
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| author | Madugalla, Anuradha Huang, Yutan Grundy, John Cho, Min Hee Gamage, Lasith Koswatta Leao, Tristan Thiele, Sam |
| author_facet | Madugalla, Anuradha Huang, Yutan Grundy, John Cho, Min Hee Gamage, Lasith Koswatta Leao, Tristan Thiele, Sam |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_05659 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps Madugalla, Anuradha Huang, Yutan Grundy, John Cho, Min Hee Gamage, Lasith Koswatta Leao, Tristan Thiele, Sam Human-Computer Interaction Software Engineering 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. |
| title | Engineering Adaptive Information Graphics for Disabled Communities: A Case Study with Public Space Indoor Maps |
| topic | Human-Computer Interaction Software Engineering |
| url | https://arxiv.org/abs/2401.05659 |