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Crafting Usable Quantified Self-wearable Technologies for Older Adult

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Advances in Human Factors in Wearable Technologies and Game Design (AHFE 2018)

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Abstract

Commercially off-the-shelf (COTS) quantified self-wearable technologies (QSWT) have enabled younger individuals to adopt a measurable living style [49] through the collection of “quantifiable data”. However, the adoption of wearables remains lowest among the older adult, and the question of what is holding adoption back remains. The purpose of this study is to: (i) explore and present the device characteristics of smartwatches and pedometers that affect the adoption of wearables across different cultures; (ii) study country-specific older adult’s importance weights on identified issues; and (iii) provide informal usability guidelines for manufacturers, researchers, and application developers. The results revealed that the usability issues such as screen size, tapping detection, device size, interaction techniques, navigation, and typography were some of the reasons for the low adoption of wearables among the older adult. Further, device and screen size were significantly more essential for the Finnish compared to US older adult participants, demonstrating that culture might influence the perception of some device characteristics.

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Notes

  1. 1.

    http://www.emarketer.com/Chart/US-Wearable-User-Penetration-by-Age-2017-of-population-each-group/202360.

  2. 2.

    https://doi.org/10.5281/zenodo.832159.

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Acknowledgments

First author would like to thank Miina Sillanpää Foundation, LUT Research Platform on Smart Services for Digitalisation (DIGI-USER) and Second author would like to thank Ulla Tuominen Foundation for their generous support of research.

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Correspondence to Jayden Khakurel .

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Khakurel, J., Knutas, A., Melkas, H., Penzenstadler, B., Porras, J. (2019). Crafting Usable Quantified Self-wearable Technologies for Older Adult. In: Ahram, T. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-319-94619-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-94619-1_8

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