Large language models for promoting physical activity: a review of experiential and behavioral outcomes, social roles, and human-likeness in persuasive LLMs - Summary - MDSpire

Large language models for promoting physical activity: a review of experiential and behavioral outcomes, social roles, and human-likeness in persuasive LLMs

  • By

  • Alessandro Silacci

  • Arianna Boldi

  • Maurizio Caon

  • Amon Rapp

  • July 8, 2026

  • 0 min

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Objective:

To outline studies addressing the user experience of LLM-based conversational agents for physical activity promotion and to discuss the ethical implications of their persuasive design.

Approach:
  • Review Methodology: A mini-review was conducted to synthesize emerging evidence from studies on LLM-based conversational agents and physical activity, focusing on user experience and social dynamics.
Key Findings:
  • LLM-based conversational agents show positive effects on user engagement, but evidence for a direct, sustained impact on objectively measured physical activity remains limited.
  • These agents can assume various social roles, influencing relational dynamics with users.
  • Users tend to anthropomorphize LLMs, which can enhance emotional investment but may lead to over-reliance and unrealistic expectations.
Interpretation:

The review discusses the potential and challenges of LLMs in promoting physical activity, highlighting the need for a deeper understanding of user interactions and ethical concerns.

Limitations:
  • The review is based on a limited number of studies, which may not provide a comprehensive overview.
  • The methodology did not involve independent checks by a second reviewer for data extraction and quality appraisal.
Conclusion:

The findings indicate a need for further research into the user experience of LLM-based conversational agents and the ethical implications of their persuasive capabilities.

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