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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (5388) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3372) Usability of Apps and User Perceptions of mHealth (1841) Evaluation and Research Methodology for mHealth (409) Chatbots and Conversational Agents (1241) Generative Language Models Including ChatGPT (1644)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78717, first published .
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Feasibility and User Experience of an AI-Supported mHealth Intervention for Remote Life Goal Setting Based on Flow Theory: Exploratory Within-Participant Study

Feasibility and User Experience of an AI-Supported mHealth Intervention for Remote Life Goal Setting Based on Flow Theory: Exploratory Within-Participant Study

Authors of this article:

Ippei Yoshida1 Author Orcid Image
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  1. Reddy Gadekallu T, Huynh-The T, Chehri A, Mohammed S, Saleh H, Bhattacharya P, Kodati D, Donta P, Masuduzzaman M, Yenduri G, Abdelmoniem A, Fang K, Feng H. Agentic AI in Healthcare 5.0: Reference Architecture, Applications, and Challenges. IEEE Internet of Things Journal 2026;13(19):44321 View