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Not yet recruiting NCT06880315

LLM-Generated Coaching Prompts

No phase Interventional Exercise

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Pre-Generated Personalized LLM Coaching Impact.
Who it may be relevant to
Registry conditions: Exercise. Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Center list to be confirmed — check the primary protocol.
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Official title

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

Overview

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.

Interventions

  • Behavioral Pre-Generated Personalized LLM Coaching Impact
    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.

Primary outcome measures

  • Physical Activity Levels [Time frame: 14 days from enrollment]

Eligibility criteria

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.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Crossover
Masking
Open label
Primary purpose
Basic science

Study locations

Center list to be confirmed — check the primary protocol.

Identifiers

NCT: NCT06880315 · 79946

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗