ORIGINAL RESEARCH article

Front. Digit. Health

Sec. Human Factors and Digital Health

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1551966

This article is part of the Research TopicDigital Health Past, Present, and FutureView all 22 articles

Navigating the Design of Simulated Exercising Peers: Insights from a Participatory Design Study

Provisionally accepted
  • 1HES-SO, University of Applied Sciences and Arts of Western Switzerland, Delémont, Switzerland
  • 2Université de Lausanne, Lausanne, Vaud, Switzerland

The final, formatted version of the article will be published soon.

To fight sedentary lifestyles, researchers have introduced various technological interventions aimed at promoting physical activity through social support. These interventions encourage people to exercise together, maintaining high levels of motivation. However, the unpredictable nature of human peers makes it challenging to control behavior and balance these interventions effectively. Artificial intelligence agents, on the other hand, can provide consistent social support and are more controllable. Hence, we propose Simulated Exercising Peers (SEPs) as a promising solution for providing agent-based social support for physical activity. However, it is yet unclear how to design SEPs to provide optimal support to human users. To fill this gap, we conducted participatory design sessions involving young adults in the creation of SEP-based interventions. Sixteen participants generated four prototypes that varied in aesthetics, behavior, and communication style. Our findings highlight key components crucial for designing SEPs that enhance acceptance and efficiently integrate into physical activity interventions. Additionally, the study revealed how the aesthetics and behavior of SEPs could potentially deceive users, which can lead to user disengagement from interventions involving SEPs. Participants also defined two distinct social roles for the SEPs, i.e., coach, and companion, each associated with unique communication styles.

Keywords: Participatory Design, Relatedness, physical activity, AI Agent, young adults, Well-being

Received: 26 Dec 2024; Accepted: 08 Apr 2025.

Copyright: © 2025 Silacci, Cherubini and Caon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Alessandro Silacci, HES-SO, University of Applied Sciences and Arts of Western Switzerland, Delémont, Switzerland

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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