LLM-Generated Coaching Prompts

NCT06880315 — Not applicable, Not yet recruiting, 50 participants, Stanford University

ClinicalTrials Daily  ·  Areas  ·  Conditions  ·  Drugs  ·  Sponsors  ·  

Enhancing Physical Activity With LLM-Generated Coaching Prompts: A My Heart Counts Study

RegistryNCT06880315
StatusNot yet recruiting
PhaseNot applicable
Study typeInterventional; randomized, crossover, masking: none, basic science
Enrollment50 (Estimated)
SponsorStanford University (Other)
ConditionsExercise
InterventionsPre-Generated Personalized LLM Coaching Impact (Behavioral)
Datesstart 2027-01-20 (estimated), primary completion 2027-07-30 (estimated), completion 2027-12-01 (estimated), first posted 2025-03-17, last updated 2026-07-23

Related Papers Related Patents Related Grants Related Experts
All trials for Exercise All trials of Pre-Generated Personalized LLM Coaching Impact

-Summary

This pilot study aims to evaluate whether personalized coaching prompts generated by a large language model (LLM) can effectively increase physical activity levels among participants. The study will involve 50 participants who will receive daily text messages, either personalized by the LLM or generic, over a 14-day period. Participants will share their HealthKit data for analysis. The findings will inform the development of future versions of the My Heart Counts application, enhancing user engagement and health outcomes.

Expand all sections  ·  Collapse all

+Arms and interventions

ArmTypeInterventionsDescription
Personalized LLM-Generated Coaching PromptsExperimentalBehavioral: Pre-Generated Personalized LLM Coaching Impact
Generic Activity PromptsActive comparatorBehavioral: Pre-Generated Personalized LLM Coaching Impact
  • Pre-Generated Personalized LLM Coaching Impact (Behavioral): After the initial 7 days, participants will switch to the other type of prompting for another 7 days. This means that participants who initially received personalized LLM-generated prompts will then receive generic activity prompts, and vice versa. This crossover design allows for each participant to experience both types of interventions, providing a within-subject comparison of the effectiveness of personalized versus generic prompts in increasing physical activity levels.

+Outcome measures

Primary outcomes

  • Physical Activity Levels [14 days from enrollment]

+Eligibility

Sex: All, ages: 18 Years to any, accepts healthy volunteers

Inclusion Criteria:

* Age: Participants must be 18 years or older.
* Health Status: Participants must be healthy enough to engage in physical activity.
* Language Proficiency: Participants must be able to read, understand, and consent in English or Spanish (dependent on which is being studied).
* Device Ownership: Participants must possess an iPhone and an Apple Watch.
* Data Sharing: Participants must be willing to share their HealthKit data via secure upload.

Exclusion Criteria:

* Age: Participants under the age of 18.
* Health Status: Participants who are not healthy enough to engage in physical activity.
* Language Proficiency: Participants who cannot read, understand, or consent in English or Spanish.
* Device Ownership: Participants who do not have both an iPhone and an Apple Watch.
* Data Sharing: Participants unwilling to share their HealthKit data via secure upload.