Integrating Technology into Self-Management Ecosystems: Young Adults with Type 1 Diabetes in the UK using Smartwatches

要旨

Self-managing chronic conditions typically involves a diverse network of individuals and devices, forming a self-management ecosystem. For this ecosystem to be effective, components need to work together cohesively. The rapid advancement of technology means new devices need to be repeatedly integrated into existing self-management ecosystems. To examine this process, we used the case study of young adults with type 1 diabetes (T1D) in the UK who were given a smartwatch. Over six months, interviews and focus groups were performed to explore their smartwatch use alongside T1D management. Thematic analysis highlighted that smartwatches have potential as a display, interface and data source in T1D management, which is of particular importance as artificial intelligence plays a growing role in self-management ecosystems. It also emphasised the need for customisation, flexibility and adaptability, and automation in the design of technology to promote integration into existing self-management ecosystems for both T1D and other chronic conditions.

著者
Sam Gordon James
University of Bristol, Bristol, United Kingdom
Miranda Elaine Glynis Armstrong
University of Bristol, Bristol, United Kingdom
Zahraa S.. Abdallah
University of Bristol, Bristol, United Kingdom
Harry Emerson
University of Bristol, Bristol, United Kingdom
Aisling Ann O'Kane
University of Bristol, Bristol, United Kingdom
DOI

10.1145/3706598.3713247

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713247

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Body and Technology

Annex Hall F205
6 件の発表
2025-04-29 18:00:00
2025-04-29 19:30:00
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