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RECRUITING
NCT07225426
NA

Personalizing Financial Incentives

Sponsor: University of Utah

View on ClinicalTrials.gov

Summary

The purpose of this study is to determine the feasibility of providing personalized incentives for dietary self-monitoring and/or interim weight loss to people enrolled in a weight-loss program

Official title: Log2LoseAI: Reinforcement Learning to Create a Framework for Personalizing Financial Incentives

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

80

Start Date

2026-02-04

Completion Date

2027-02-28

Last Updated

2026-03-06

Healthy Volunteers

Yes

Interventions

BEHAVIORAL

personalized financial incentives

Every week, a reinforcement learning algorithm will process data on weight loss, calorie logging, and incentives earned to predict that their weight loss is positively influenced by incentives.

Locations (1)

University of Utah

Salt Lake City, Utah, United States