Recovering from work-related strain and stress with the help of a persuasive mobile application: Interview-based thematic analysis of micro-entrepreneurs

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Abstract

People often have long-term personal goals regarding health behavior change. Recently, the processes for achieving these goals have begun to be supported through behavior change support systems and especially through their persuasive software features. In a multidisciplinary research project focused on helping micro-entrepreneurs to recover from work-related strain and stress, a persuasive mobile application was developed. For gaining insights about the workings of the system and its persuasive features, we conducted 29 interviews with the system users. We used thematic analysis method with a deductive emphasis for analyzing the interviews. For some, concurrent usage of wearables or other applications led to discarding our application. Users thought that the application was relatively persuasive, but technical issues reduced its persuasiveness noticeably. When functioning properly, self-monitoring and reminders were found to be supportive for users to achieve their goals. Unobtrusiveness was found to increase the persuasiveness of reminders, while self-monitoring always seems to be dependent on the user’s personal needs.

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APA

Kekkonen, M., Oinas-Kukkonen, H., Korkiakangas, E., & Laitinen, J. (2019). Recovering from work-related strain and stress with the help of a persuasive mobile application: Interview-based thematic analysis of micro-entrepreneurs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11433 LNCS, pp. 225–236). Springer Verlag. https://doi.org/10.1007/978-3-030-17287-9_19

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