Author ORCID Identifier

0000-0003-4835-621X

Document Type

Conference Paper

Disciplines

Computer Sciences

Publication Details

https://aaate2025.eu/conference-publications/

AAATE 2025 Proceedings (Research Strand). Licensed under CC BY-NC-ND 4.0. ISBN: 978-9925-604-07-4

Abstract

As the ageing population grows, older adults increasingly rely on wearable devices to monitor chronic conditions. However, conventional health data representations (HDRs) often present accessibility challenges, particularly for critical health parameters like blood pressure and sleep data. This study explores how older adults interact with these representations, identifying key barriers such as semantic inconsistency and difficulties in understanding. While research has primarily focused on data collection, less attention has been given to how information is output and understood by end-users. To address this, an end-user evaluation was conducted with 16 older adults (65+) in a structured workshop, using think-aloud protocols and participatory design activities. The findings highlight the importance of affordance and familiarity in improving accessibility, emphasising the familiarity and potential of multimodal cues. This study bridges the gap between domain experts and end-users, providing a replicable methodological approach for designing intuitive, multisensory HDRs that better align with older adults' needs and abilities.

DOI

https://doi.org/10.48550/arXiv.2509.11876

Funder

Research Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real)

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