Article

Fine-tuning Large Language Models in Behavioral Psychology for Scalable Physical Activity Coaching

2025-02-21

Abstract excerpt

<h4>ABSTRACT</h4> Personalized, smartphone-based coaching improves physical activity but relies on static, human-crafted messages. We introduce My Heart Counts (MHC)-Coach, a large language model fine-tuned on the Transtheoretical Model of Change. MHC-Coach generates messages tailored to an individual’s psychology (their “stage of change”), providing personalized support to foster long-term physical activity beha...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b7b56fb9-9911-5832-8b7b-26339462c51a
DOI: 10.1101/2025.02.19.25322559

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Fine-tuning Large Language Models in Behavioral Psychology for Scalable Physical Activity CoachingDOI 10.1101/2025.02.19.25322559Read

Grounding Language Models in Behavioral Science to Scale Physical Activity Interventions for Hispanic/Latinx PopulationsSemantic proximity Read

Design and Rationale of the My Heart Counts Cardiovascular Health Study: a Large-Scale, Fully Digital Biobank, and Randomized Trial of Large Language Model-Driven Coaching of Physical ActivitySemantic proximity Read

Infusing behavior science into large language models for activity coachingSemantic proximity Read

Health coaching 2.0: redefining a core lifestyle medicine intervention through a structured, BCT-based modelSemantic proximity Read

Effectiveness of an LLM-integrated Chatbot Intervention for Physical Activity Habit Formation in Prehypertensive Adults: A 12-Month Randomized Controlled Trial ProtocolSemantic proximity Read

FitWisdom: User perceptions of an explainable, fairness-audited exercise recommender in a community settingSemantic proximity Read

How Can I Stay Healthy? – Benchmarking Large Language Models for Personalized and Biomarker-Based Intervention RecommendationsSemantic proximity Read

Personalizing a Weight Loss Program Using Cognitive-Behavioral Phenotypes to Improve Engagement and Weight Loss in Adults With Overweight or Obesity: Quasi-Experimental Study.Semantic proximity Read

Leveraging Natural Language Processing to Evaluate Young Adults’ User Experiences with a Digital Sleep Intervention for Alcohol UseSemantic proximity Read

Using AI-Simulated Personas to Explore Motivational Interventions: A Methodological InvestigationSemantic proximity Read

Silent Manipulation of Mental Health Treatment Recommendations from a Large Language ModelSemantic proximity Read

Effects of Telehealth-based Lifestyle Modification on Cardiorespiratory Fitness Among Individuals with High-normal or High Blood Pressure: Randomized Controlled TrialSemantic proximity Read