Author ORCID Identifier

0000-0003-4835-621X

Document Type

Conference Paper

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE

Publication Details

International Conference on Computers Helping People with Special Needs
19th International Conference, ICCHP 2024, Linz, Austria, July 8–12, 2024, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14751))

https://doi.org/10.1007/978-3-031-62849-8_45

Abstract

Health Data Representations (HDRs) pose significant accessibility problems for people with disabilities and older adults, particularly those with visual, hearing, speech, motor and cognitive impairments, as well as literacy problems. While methodologies like heuristic evaluation and visualisation literacy are valuable, they have limitations in addressing the varied and nuanced range of data representations and perceptual matching issues. This paper presents findings from a collaborative expert evaluation that strategically bridges the gap between domain experts and non-experts. By scoping out representative HDRs, our approach significantly expands the research space for accessibility issues within the designated scope, narrowing critical gaps in existing independent guidelines. Using this methodology, we carefully examined common conventional HDRs, collaborating with experts to identify 179 potential issues specific to older adults. Categorisation strategies highlighted key issues within this broad problem space, showing that existing guidelines fail to effectively address all of the predominant categories. Our paper presents a set of emerging impairment-agnostic recommendations in response, embedding crucial steps towards mitigating these problems. Our study not only identifies challenges but also provides a model for iterative evaluation and adaptation of critical HDR. Beyond informing more accessible system design, we also highlight innovative opportunities for future HDRs.

DOI

https://doi.org/10.1007/978-3-031-62849-8_45

Funder

This work was conducted with the financial support of the Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real) under Grant No. 18/CRT/6224. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 International License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.


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