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Persuasive Features that Drive the Adoption of a Fitness Application and the Moderating Effect of Age and Gender

Multi-User Adaptive Distributed Mobile And Ubiquitous Computing (MADMUC) Lab, Department of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada
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Multimodal Technol. Interact. 2020, 4(2), 17; https://doi.org/10.3390/mti4020017
Received: 10 April 2020 / Revised: 29 April 2020 / Accepted: 7 May 2020 / Published: 11 May 2020
(This article belongs to the Special Issue Personal Health, Fitness Technologies, and Games)
Fitness apps equipped with various persuasive features have become popular worldwide due to the physical inactivity crisis. However, there is a limited understanding of the most important persuasive features that drive their adoption and the moderating effect of age and gender. To bridge this gap, we designed storyboards illustrating six of the commonly employed persuasive strategies in persuasive health applications: Goal-Setting/Self-Monitoring, Reward, Social Learning, Social Comparison, Competition and Cooperation. We conducted an empirical study in which we asked the participants to evaluate their receptiveness to the six persuasive features and their intention to use a fitness app that features them. The result of our Partial Least Square Path Modeling (PLSPM) shows that, overall, Goal-Setting/Self-Monitoring is the strongest predictor of the intention to use a fitness app, followed by Reward and Competition, both of which are in second place. However, Social Learning and Social Comparison turn out to be non-predictors of intention to use. Based on these findings, we recommend that a minimally viable (one-size-fits-all) fitness app, in a personal setting, should support a Goal-Setting/Self-Monitoring feature, coupled with a Reward feature, to increase its appeal to a wide audience. Moreover, in a social setting, it should support a Competition feature to increase its appeal to a wide audience. We discuss these findings and the gender and age differences in the relationships between users’ receptiveness to the six persuasive features and their intention to use a fitness app that support them. View Full-Text
Keywords: persuasive technology; persuasive features; fitness app; intention to use; goal-setting; self-monitoring; competition; cooperation; age; gender persuasive technology; persuasive features; fitness app; intention to use; goal-setting; self-monitoring; competition; cooperation; age; gender
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MDPI and ACS Style

Oyibo, K.; Vassileva, J. Persuasive Features that Drive the Adoption of a Fitness Application and the Moderating Effect of Age and Gender. Multimodal Technol. Interact. 2020, 4, 17. https://doi.org/10.3390/mti4020017

AMA Style

Oyibo K, Vassileva J. Persuasive Features that Drive the Adoption of a Fitness Application and the Moderating Effect of Age and Gender. Multimodal Technologies and Interaction. 2020; 4(2):17. https://doi.org/10.3390/mti4020017

Chicago/Turabian Style

Oyibo, Kiemute, and Julita Vassileva. 2020. "Persuasive Features that Drive the Adoption of a Fitness Application and the Moderating Effect of Age and Gender" Multimodal Technologies and Interaction 4, no. 2: 17. https://doi.org/10.3390/mti4020017

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