Abstract
Wearables have seen an increase in popularity as the technology has advanced. Via physiological sensing, these devices allow individuals to easily monitor their daily health, but there are limitations in real-world implementation. One limitation is the ability of end users to properly gauge how well a device fits. Proper fit is often crucial for accurate data collection, as ill-fitting devices can result in poor performance. In this work, we examine the fit of the ring sizes the participants chose at the start of the in-the-wild study and examine the effect it has on sensor data. An analysis of 38 participants shows that only every third participant chooses an optimal ring size. We show that this leads to reduced efficacy of the wearable.
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Acknowledgements
This work was supported in part by grants from JST Trilateral AI project, Learning Cyclotron (JPMJCR20G3), JSPS Kakenhi (20KK0235), and the Grand challenge of the Initiative for Life Design Innovation (iLDi).
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Neigel, P., Vargo, A., Komatsu, Y., Blakely, C., Kise, K. (2023). Exploring Users’ Ability to Choose a Proper Fit in Smart-Rings: A Year-Long “In the Wild” Study. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14145. Springer, Cham. https://doi.org/10.1007/978-3-031-42293-5_59
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DOI: https://doi.org/10.1007/978-3-031-42293-5_59
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