Author ORCID Identifier

0000-0003-4835-621X

Document Type

Article

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences

Publication Details

https://eai.eu/blog/major-eai-conferences-2025/

19th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2025).

doi:10.21427/1g7y-pa79


Abstract

Health data is inherently complex, and tracking it appropriately, whether prescribed by a doctor or motivated by personal interest, offers significant benefits for improving health behaviours. With consumer availability, pervasive technologies such as wearable devices have opened new opportunities for the self-tracking of critical physiological health data. Yet, despite the progress made, older adults often encounter barriers that limit meaningful interactions, leading them to disengage from managing their own health. At the root of these barriers is the gap between designers' intentions and older adults' ability to perceive, interpret, and respond effectively to cues embedded in systems designed to collect and present health data. We argue that intentionality, conveyed in particular through familiarity with the interface and intuitive affordances, can significantly improve older adults' self-management of health parameters and their continuous engagement.

DOI

https://doi.org/10.21427/1g7y-pa79

Funder

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

Creative Commons License

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

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