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“The Device Is Not Well Designed for Me” on the Use of Activity Trackers in the Workplace?

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Springer International Publishing

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The workplace, with its central place in peoples’ lives, can be considered as a key site for promoting better health practices. From this perspective, companies are considering providing employees with activity trackers and supportive services aiming at improving employee health. As an initial exploration of possibilities and challenges for activity trackers in the workplace we undertook the following study: a qualitative study of 13 users of activity trackers within our company. Our main findings are that the successful adoption of activity trackers within the workplace is not straightforward, unless for short term intervention, since all participants stopped wearing them within 3 months. In this case we also saw that the use of activity trackers generated various frustrations and raised a number of concerns around end-user configurability, usefulness and privacy and control of data. The findings can have broad implications in designing and developing adequate wellness solutions at the workplace.

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Masson, Cécile Boulard; Martin, David; Colombino, Tommaso; Grasso, Antonietta (2016): “The Device Is Not Well Designed for Me” on the Use of Activity Trackers in the Workplace?. COOP 2016: Proceedings of the 12th International Conference on the Design of Cooperative Systems. DOI: 10.1007/978-3-319-33464-6_3. Springer International Publishing. ISBN: 978-3-319-33463-9. pp. 39-55. Trento, Italy. 23-27 May 2016

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Number of citations to item: 10

  • Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Diego Casado-Mansilla, Diego López-de-Ipiña (2022): Human-AI Collaboration to Promote Trust, Engagement and Adaptation in the Process of Pro-environmental and Health Behaviour Change, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-21333-5_38
  • Charlotte L Brakenridge, Genevieve N Healy, Elisabeth AH Winkler, Brianna S Fjeldsoe (2018): Usage, Acceptability, and Effectiveness of an Activity Tracker in a Randomized Trial of a Workplace Sitting Intervention: Mixed-Methods Evaluation, In: Interactive Journal of Medical Research 1(7), doi:10.2196/ijmr.9001
  • Yitong Huang, Steve Benford, Benqian Li, Dominic Price, Holly Blake (2022): Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study (Preprint), doi:10.2196/preprints.43502
  • Wendy Martinez, Johann Benerradi, Serena Midha, Horia A. Maior, Max L. Wilson (2022): Understanding the Ethical Concerns for Neurotechnology in the Future of Work, In: 2022 Symposium on Human-Computer Interaction for Work, doi:10.1145/3533406.3533423
  • Chia-Fang Chung, Nanna Gorm, Irina A. Shklovski, Sean Munson (2017): Finding the Right Fit, In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3025453.3025510
  • Yitong Huang, Steve Benford, Benqian Li, Dominic Price, Holly Blake (2023): Feasibility and Acceptability of an Internet of Things–Enabled Sedentary Behavior Intervention: Mixed Methods Study, In: Journal of Medical Internet Research, doi:10.2196/43502
  • Oihane Gómez-Carmona, Diego Casado-Mansilla, Diego López-de-Ipiña, Javier García-Zubia (2024): Employee Perceptions of Privacy and Data Control in Workplace Wellness e- Health Programs, In: 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), doi:10.1109/compsac61105.2024.00323
  • Paula Saukko, Amie Weedon (2020): Self-tracking of/and time: From technological to biographical and political temporalities of work and sitting, In: New Media & Society 8(24), doi:10.1177/1461444820983324
  • Oihane Gómez-Carmona, Diego Casado-Mansilla, Diego López-de-Ipiña, Javier García-Zubia (2022): Modulating Users’ Involvement in Interactive Machine Learning Solutions: A Model Cascade Strategy, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-21333-5_35
  • Päivi Heikkilä, Anita Honka, Eija Kaasinen, Kaisa Väänänen (2021): Quantified factory worker: field study of a web application supporting work well-being and productivity, In: Cognition, Technology & Work 4(23), doi:10.1007/s10111-021-00671-2
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