Assessing the Feasibility, Usability, Acceptability, and Efficacy of an AI Chatbot for Sleep Promotion: Quasi-Experimental Study

Our AI chatbot demonstrated satisfactory feasibility, usability, and acceptability. Improvements were observed following chatbot use, although causality cannot be established. These findings highlight the potential of integrating state-of-the-art large language models into behavioral interventions for sleep promotion. Future research should include objective sleep measurements and conduct randomized controlled trials to validate the study findings. If confirmed, this AI chatbot could be scaled to support sleep health on a broader level.

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Publication Details

Journal
JMIR Formative Research
Published
2026-02-03
DOI
https://doi.org/10.2196/84023
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
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article

Assessing the Feasibility, Usability, Acceptability, and Efficacy of an AI Chatbot for Sleep Promotion: Quasi-Experimental Study

Jingchen Liu, Xiaoyue Liu
JMIR Formative Research
Sleep and related disorders
article

Assessing the Feasibility, Usability, Acceptability, and Efficacy of an AI Chatbot for Sleep Promotion: Quasi-Experimental Study

Jingchen Liu, Xiaoyue Liu
article en

Abstract

Our AI chatbot demonstrated satisfactory feasibility, usability, and acceptability. Improvements were observed following chatbot use, although causality cannot be established. These findings highlight the potential of integrating state-of-the-art large language models into behavioral interventions for sleep promotion. Future research should include objective sleep measurements and conduct randomized controlled trials to validate the study findings. If confirmed, this AI chatbot could be scaled to support sleep health on a broader level.

JMIR Formative ResearchVol. 10
New York University (US), Columbia University (US)
No poverty
Openalex Percentile: Top 70%
Sleep and related disorders
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