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4th international workshop on mental health and well-being: sensing and intervention

Published: 09 September 2019 Publication History

Abstract

Mental health issues affect a significant portion of the world's population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early detection and prevention. Toward this, ubiquitous systems can play a central role in revealing and tracking clinically relevant behaviors, contexts, and symptoms. Further, such systems can passively detect relapse onset and enable the opportune delivery of effective intervention strategies. However, despite their clear potential, the uptake of ubiquitous technologies into clinical mental healthcare is slow, and a number of challenges still face the overall efficacy of such technology-based solutions. The goal of this workshop is to bring together researchers interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop in the last three years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.

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  1. 4th international workshop on mental health and well-being: sensing and intervention

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    cover image ACM Conferences
    UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
    September 2019
    1234 pages
    ISBN:9781450368698
    DOI:10.1145/3341162
    Permission to make digital or hard copies of part or all 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.

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    Published: 09 September 2019

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    Author Tags

    1. behavioral intervention
    2. mHealth
    3. mental health
    4. mobile sensing
    5. predictive modeling

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