Categorization framework for usability issues of smartwatches and pedometers for the older adults

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Abstract

In recent years various usability issues related to device characteristics of quantified-self wearables such as smartwatches and pedometers have been identified which appear likely to impact device adoption among the older adults. However, an overall framework has not yet been developed to provide a comprehensive set of usability issues related to smartwatches and pedometers. This study used a two-stage research approach with 33 older participants, applying contextual action theory and usability evaluation methods both to determine perceived usability issues and to formulate a usability categorization framework based on identified issues. Additionally, we prioritized the predominant usability issues of smartwatches and pedometers that warrant immediate attention from technology designers, the research community, and application developers. Results revealed predominant usability issues related to the following device characteristics of smartwatches: user interface (font size, interaction techniques such as notification, button location) and hardware (screen size); and of pedometers: user interface (font size, interaction techniques such as notification, button location, and tap detection) and hardware (screen size).

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APA

Khakurel, J., Knutas, A., Melkas, H., Penzenstadler, B., Fu, B., & Porras, J. (2018). Categorization framework for usability issues of smartwatches and pedometers for the older adults. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10907 LNCS, pp. 91–106). Springer Verlag. https://doi.org/10.1007/978-3-319-92049-8_7

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