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

The feasibility of the smartphone app using reinforcement learning for obesity was sufficient, and the potential effectiveness of the treatment was suggested. Preceding depressive mood may influence daily behaviors related to weight loss.

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Publication Details

Journal
JMIR Human Factors
Published
2026-02-26
DOI
https://doi.org/10.2196/77323
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Toshimasa Yamauchi, Tomohisa Aoyama, Kazuhiro Yoshiuchi, Ken Kurisu
JMIR Human Factors
Digital Mental Health Interventions
article

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

Toshimasa Yamauchi, Tomohisa Aoyama, Kazuhiro Yoshiuchi, Ken Kurisu
article en

Abstract

The feasibility of the smartphone app using reinforcement learning for obesity was sufficient, and the potential effectiveness of the treatment was suggested. Preceding depressive mood may influence daily behaviors related to weight loss.

JMIR Human FactorsVol. 13
Japan Graduate School of Education University (JP), The University of Tokyo (JP)
Openalex Percentile: Top 49%
Digital Mental Health Interventions
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