TY - GEN
T1 - “What does THIS Mean?”
T2 - 19th International Conference on Computers Helping People with Special Needs, ICCHP 2024
AU - Jean, Peterson
AU - Murphy, Emma
AU - Bates, Enda
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Accessibility
KW - Expert evaluation
KW - Health data representation
KW - Older adults
UR - https://www.scopus.com/pages/publications/85200347200
U2 - 10.1007/978-3-031-62849-8_45
DO - 10.1007/978-3-031-62849-8_45
M3 - Conference contribution
AN - SCOPUS:85200347200
SN - 9783031628481
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 365
EP - 372
BT - Computers Helping People with Special Needs - 19th International Conference, ICCHP 2024, Proceedings
A2 - Miesenberger, Klaus
A2 - Peňáz, Petr
A2 - Kobayashi, Makato
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 8 July 2024 through 12 July 2024
ER -