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February 28, 2026JMIR Human FactorsOpen Access

Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study

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Authors

KKKen KurisuKQKun QianAdobe Systems (United States)TATomohisa AoyamaThe University of Tokyo

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Overview

Single-arm feasibility study evaluates a smartphone app's effectiveness on obesity-related behaviors, suggesting promising results.

Key Points

  • The study aimed to evaluate the feasibility and effectiveness of a smartphone app using reinforcement learning for individuals with obesity.
  • Developed a smartphone app to track and optimize daily behaviors for weight loss.
  • Utilized Thompson sampling, a multiarmed bandit algorithm, for behavior presentation optimization.
  • Involved 20 individuals with obesity using the app for 4 weeks with daily monitoring of body weight and mood.
  • Processed data using Wilcoxon signed rank test and linear mixed-effects model for analysis.
  • All 20 participants completed the study over 4 weeks with a median app use rate of 98.3%.
  • Significant reduction in BMI from a median of 34.9 kg/m2 at the start to 34.1 kg/m2 at the end (P = .01).
  • Notable improvements in daily energy intake and weekend sitting time were observed.
  • The linear mixed-effects model indicated that higher depressive mood levels were associated with fewer daily behaviors performed (P < .001).

Cite This Study

Kurisu et al. (2026) studied this question.

synapsesocial.com/papers/69a287b00a974eb0d3c03a1fhttps://doi.org/10.2196/77323
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Smartphone apps for obesity management: A systematic review using self-determination theory2026
  2. 2The effectiveness and safety of a mobile application-based self-regulation intervention to support weight loss among adults living with obesity: a large-scale pragmatic randomised controlled trial2025 · 1 citations
  3. 3Effectiveness of Smartphone App for the treatment of Pediatric Obesity: A Prospective Longitudinal Study2024
  4. 4Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation2024 · 36 citations
  5. 5Effectiveness of Smartphone App for the Treatment of Pediatric Obesity: A Randomized Controlled Trial2024 · 2 citations