Paper Number
1759
Paper Type
Short Paper
Abstract
Obesity is an epidemic that demands innovative solutions. Digital platforms-based weight loss coaching can combat obesity and reduce the risk of type-2 diabetes. Our study assesses the effectiveness of an online weight loss coaching platform (OWLCP), which provides personalised advice through coach-participant interactions. With 72 participants, the study demonstrates the platform’s potential for increased weight loss. To enhance coach productivity, scale up and increase cost-efficiency, the OWLCP considers automated health coaching using artificial intelligence (AI). We investigate three optimisation methods capable of generating tailored meal plans, which are crucial for weight management, to further enhance human health coaches’ capacity to provide feedback. We also predict that OWLCP will evolve further through the integration of large language models-based machine learning-generated meal plans, thus refining and enhancing the efficiency of the coaching process.
Recommended Citation
Nolting, Michael; Walsh, Gianfranco; and Brylla, Daniel Erik, "Is AI the Future of Weight Loss Coaching? Exploring Digital Methods for Automated Health Guidance" (2024). ECIS 2024 Proceedings. 2.
https://aisel.aisnet.org/ecis2024/track22_innrm/track22_innrm/2
Is AI the Future of Weight Loss Coaching? Exploring Digital Methods for Automated Health Guidance
Obesity is an epidemic that demands innovative solutions. Digital platforms-based weight loss coaching can combat obesity and reduce the risk of type-2 diabetes. Our study assesses the effectiveness of an online weight loss coaching platform (OWLCP), which provides personalised advice through coach-participant interactions. With 72 participants, the study demonstrates the platform’s potential for increased weight loss. To enhance coach productivity, scale up and increase cost-efficiency, the OWLCP considers automated health coaching using artificial intelligence (AI). We investigate three optimisation methods capable of generating tailored meal plans, which are crucial for weight management, to further enhance human health coaches’ capacity to provide feedback. We also predict that OWLCP will evolve further through the integration of large language models-based machine learning-generated meal plans, thus refining and enhancing the efficiency of the coaching process.
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