Abdullah, S;
Murnane, EL;
Musolesi, M;
Bardram, JE;
Choudhury, T;
(2017)
2nd International Workshop on Mental Health and Well-being: Sensing and Intervention.
In:
(Proceedings) ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) / ACM International Symposium on Wearable Computers (ISWC).
(pp. pp. 745-748).
Association for Computing Machinery (ACM)
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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. In particular, 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 last year's inaugural workshop, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.
| Type: | Proceedings paper |
|---|---|
| Title: | 2nd International Workshop on Mental Health and Well-being: Sensing and Intervention |
| Event: | ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) / ACM International Symposium on Wearable Computers (ISWC) |
| Location: | Maui, HI |
| Dates: | 11 September 2017 - 15 September 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3123024.3124461 |
| Publisher version: | https://doi.org/10.1145/3123024.3124461 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Cybernetics, Telecommunications, Computer Science, Mental Health, Mobile Sensing, mHealth, Predictive Modeling, Behavioral Intervention |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051326 |
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Loading...Loading...| 1. |  United States | 3 |
| 2. |  Iran, Islamic Republic of | 2 |
| 3. |  Russian Federation | 2 |
| 4. |  Netherlands | 1 |
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