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 rare, 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 two years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.
Original language | English |
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Title of host publication | UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers |
Number of pages | 5 |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Publication date | 2018 |
Pages | 1681-1685 |
ISBN (Electronic) | 9781450359665 |
DOIs | |
Publication status | Published - 2018 |
Event | 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018 |
Conference
Conference | 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers |
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Country/Territory | Singapore |
City | Singapore |
Period | 08/10/2018 → 12/10/2018 |
Keywords
- Behavioral Intervention
- Mental Health
- MHealth
- Mobile Sensing
- Predictive Modeling