Understanding Disengagement in AI-based Just-in-Time Mobile Health Interventions

Promoting behavior change by delivering timely prompts based on real-time contextual recognition is the aim of AI-based just-in-time (JIT) mobile health interventions. Despite their growing adoption in mobile and wearable technologies, user disengagement remains a key challenge. To better understand...

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Bibliographic Details

Published in:	GetMobile (New York, N.Y.) N.Y.), 2025-08, Vol.29 (2), p.15-20
Main Authors:	Lee, Uichin, Park, Joonyoung
Format:	Article
Language:	English
Subjects:	Human-centered computing Human-centered computing / Human computer interaction (HCI) Human-centered computing / Human computer interaction (HCI) / HCI design and evaluation methods Human-centered computing / Human computer interaction (HCI) / HCI design and evaluation methods / Field studies Human-centered computing / Interaction design Human-centered computing / Interaction design / Interaction design process and methods Human-centered computing / Interaction design / Interaction design process and methods / User interface design Human-centered computing / Ubiquitous and mobile computing Human-centered computing / Ubiquitous and mobile computing / Ubiquitous and mobile computing systems and tools Human-centered computing / Ubiquitous and mobile computing / Ubiquitous and mobile computing theory, concepts and paradigms Human-centered computing / Ubiquitous and mobile computing / Ubiquitous and mobile computing theory, concepts and paradigms / Mobile computing Human-centered computing / Ubiquitous and mobile computing / Ubiquitous and mobile devices Human-centered computing / Ubiquitous and mobile computing / Ubiquitous and mobile devices / Smartphones
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