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AI-generated motivational feedback for casual runners

Vafi, A.J. (2025) AI-generated motivational feedback for casual runners.

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Abstract:Lack of motivation is a common challenge for runners. While wearable devices and fitness applications can help motivate by providing performance metrics, their feedback is often generic and lacks personal relevance. This study aims to address this gap by exploring the integration of psychological data, such as the user’s mood, with performance metrics to deliver personalised, AI-generated feedback tailored to casual runners. Despite advancements in AI and wearable technology, current sports feedback systems rarely utilise psychological factors in their design. This exclusion of psychological data limits these feedback systems from providing meaningful and motivational insights. By combining mood-based input with performance data and AI-generative feedback, this study displays the potential for a more motivating and personalised feedback system. The developed prototype, tested with casual runners, highlights the feasibility of integrating psychological data into AI-driven feedback systems. The findings suggest that this approach of providing feedback not only motivates but also opens opportunities for innovation in fitness and sports technology.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:01 general works, 54 computer science, 77 psychology
Programme:Creative Technology BSc (50447)
Link to this item:https://purl.utwente.nl/essays/107851
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