Why Users Comply with Wearables: The Role of Contextual Self-Efficacy in Behavioral Change

Item Type Journal paper
Abstract

Wearables provide great opportunities for improving personal health, but research challenges their capacity to evoke behavioral change effectively. Realizing the full potential of wearables requires a better understanding of users’ behavior change processes. Based on self-efficacy theory, we investigate how wearables influence users’ perceptions of their self-efficacy and subsequent health behavior. Using narrative interviews with twenty-five long-term wearable users, we show that wearables can have both positive and negative effects on users’ perceptions of their self-efficacy and that these perceptions are subject to internal and external contexts, which can positively or negatively affect users’ compliance. We also find that the internal context may have a compounding or neutralizing effect on self-efficacy, despite an adverse external context. Our study shows the contextual and transient nature of self-efficacy,
thus contributing to self-efficacy theory and research on wearables and offering practical design implications.

Authors Rieder, Annamina; Eseryel, U. Yeliz; Lehrer, Christiane & Jung, Reinhard
Journal or Publication Title International Journal of Human–Computer Interaction
Language English
Subjects information management
HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Refereed Yes
Date January 2021
Publisher Taylor & Francis
Volume 37
Number 3
Page Range 281-294
Publisher DOI https://doi.org/10.1080/10447318.2020.1819669
Official URL https://doi.org/10.1080/10447318.2020.1819669
Depositing User Annamina Rieder
Date Deposited 30 Sep 2020 12:17
Last Modified 04 Jan 2021 12:55
URI: https://www.alexandria.unisg.ch/publications/261095

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Citation

Rieder, Annamina; Eseryel, U. Yeliz; Lehrer, Christiane & Jung, Reinhard (2021) Why Users Comply with Wearables: The Role of Contextual Self-Efficacy in Behavioral Change. International Journal of Human–Computer Interaction, 37 (3). 281-294.

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https://www.alexandria.unisg.ch/id/eprint/261095
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