'If It Doesn't Work for Me as a Researcher, Let Alone Others': Understanding Wellbeing Through an Autoethnography of Wearable and Non-Wearable Technologies

(2025) 'If It Doesn't Work for Me as a Researcher, Let Alone Others': Understanding Wellbeing Through an Autoethnography of Wearable and Non-Wearable Technologies. In Yamashita, Naomi, Evers, Vanessa, Yatani, Koji, & Ding, Xianghua (Sharon) (Eds.) CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), United States of America.

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Description

Wellbeing plays a crucial role in our daily lives, yet achieving or maintaining it remains a complex phenomenon, even for researchers. Capturing wellbeing data through wearable and non-wearable technologies to understand the state of "feeling good'' poses significant challenges, requiring careful consideration of various factors. This autoethnographic study reflects on personal experiences with wellbeing data to explore the possibilities and limitations of these technologies. Within the constraints of limited time, resources, and circumstances, this study aims to
1) Investigate the potential and challenges of using wearable and non-wearable technologies for managing wellbeing;
2) Derive lessons from personal reflections to understand how multimodal data can provide meaningful insights and reshape the interpretation of wellbeing.
The findings provide valuable insights into the integration of wearable and non-wearable data and offer directions for future research, particularly in designing technologies that enhance the understanding and quality of wellbeing.

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ID Code: 256621
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
Series Name: Conference on Human Factors in Computing Systems - Proceedings
ORCID iD:
Roomkham, Sirinorcid.org/0000-0001-7444-7305
Measurements or Duration: 8 pages
Event Title: CHI Conference on Human Factors in Computing Systems
Event Dates: 2025-04-26 - 2025-05-01
Event Location: Yokohama, Japan
Additional URLs:
Keywords: Autoethnography, wearable technology, non-wearable technology
DOI: 10.1145/3706599.3720015
ISBN: 979-8-4007-1395-8
Pure ID: 192459303
Divisions: Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Computer Science
Funding Information: I sincerely thank the reviewers for their valuable feedback on my paper. I would also like to express my gratitude to my colleague, Aloha Hufana Ambe, for her insightful feedback and suggestions. Furthermore, I acknowledge the university for its continuous support and this project was funded through the First Byte Scheme of the Queensland University of Technology (QUT) Centre for Data Science.
Copyright Owner: 2025 Copyright held by the owner/author(s).
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Deposited On: 09 Apr 2025 11:46
Last Modified: 27 Jan 2026 04:09