LLM-Generated Coaching Prompts
Enhancing Physical Activity With LLM-Generated Coaching Prompts: A My Heart Counts Study
1 other identifier
interventional
50
0 countries
N/A
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Feb 2026
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 11, 2025
CompletedFirst Posted
Study publicly available on registry
March 17, 2025
CompletedStudy Start
First participant enrolled
February 20, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2026
January 23, 2026
January 1, 2026
5 months
March 11, 2025
January 21, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Physical Activity Levels
14 days from enrollment
Study Arms (2)
Personalized LLM-Generated Coaching Prompts
EXPERIMENTALGeneric Activity Prompts
ACTIVE COMPARATORInterventions
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.
Eligibility Criteria
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Fellow, Cardiovascular Medicine
Study Record Dates
First Submitted
March 11, 2025
First Posted
March 17, 2025
Study Start
February 20, 2026
Primary Completion (Estimated)
July 30, 2026
Study Completion (Estimated)
December 1, 2026
Last Updated
January 23, 2026
Record last verified: 2026-01