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CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health

Published: 07 June 2024 Publication History

Abstract

The COVID-19 pandemic has intensified the urgency for effective and accessible mental health interventions in people's daily lives. Mobile Health (mHealth) solutions, such as AI Chatbots and Mindfulness Apps, have gained traction as they expand beyond traditional clinical settings to support daily life. However, the effectiveness of current mHealth solutions is impeded by the lack of context-awareness, personalization, and modularity to foster their reusability. This paper introduces CAREForMe, a contextual multi-armed bandit (CMAB) recommendation framework for mental health. Designed with context-awareness, personalization, and modularity at its core, CAREForMe harnesses mobile sensing and integrates online learning algorithms with user clustering capability to deliver timely, personalized recommendations. With its modular design, CAREForMe serves as both a customizable recommendation framework to guide future research, and a collaborative platform to facilitate interdisciplinary contributions in mHealth research. We showcase CAREForMe's versatility through its implementation across various platforms (e.g., Discord, Telegram) and its customization to diverse recommendation features.

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Sheng Yu, Narjes Nourzad, Randye J. Semple, Yixue Zhao, Emily Zhou, and Bhaskar Krishnamachari. 2024. CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health. MOBILESoft (2024). https://arxiv.org/abs/2401.15188

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cover image ACM Conferences
MOBILESoft '24: Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems
April 2024
106 pages
ISBN:9798400705946
DOI:10.1145/3647632
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Published: 07 June 2024

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