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Piloting a Reinforcement Learning Tool for Individually Tailoring Just-in-time Adaptive Interventions
Sponsor: UNC Lineberger Comprehensive Cancer Center
Summary
The purpose of this pilot study is to conduct a 12-week pilot feasibility study testing usability of a reinforcement learning model (AdaptRL) in a weight loss intervention (ADAPT study). Building upon a previous just-in-time adaptive intervention (JITAI), a reinforcement learning model will generate decision rules unique to each individual that are intended to improve the tailoring of brief intervention messages (e.g., what behavior to message about, what behavior change techniques to include), improve achievement of daily behavioral goals, and improve weight loss in a sample of 20 adults.
Key Details
Gender
All
Age Range
18 Years - 55 Years
Study Type
INTERVENTIONAL
Enrollment
19
Start Date
2025-04-12
Completion Date
2025-08-18
Last Updated
2026-08-21
Healthy Volunteers
Yes
Conditions
Interventions
ADAPT
The intervention is testing the feasibility of a reinforcement learning model to pull in participants' behavioral data (calories, activity, and weight) and use this data along with participants' past behavioral goal achievements to deliver the type of message that should be most effective for a given participant at a given time. At each decision point (morning, midday, and evening on a daily basis), the system evaluates which behaviors a participant is eligible to receive a message about (eating, activity, self-weighing), which intervention options a participant is eligible to receive, and then chooses what type of behavioral message a participant should receive. Over time, the model uses participant data and response to interventions to better tailor message choice.
Locations (1)
University of North Carolina at Chapel Hill
Chapel Hill, North Carolina, United States