TY - GEN
T1 - 5thinternational workshop on mental health and well-being
T2 - 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020
AU - Mishra, Varun
AU - Sano, Akane
AU - Abdullah, Saeed
AU - Bardram, Jakob E.
AU - Servia, Sandra
AU - Murnane, Elizabeth L.
AU - Choudhury, Tanzeem
AU - Musolesi, Mirco
AU - Vilaza, Giovanna Nunes
AU - Nandakumar, Rajalakshmi
AU - Rahman, Tauhidur
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/9/10
Y1 - 2020/9/10
N2 - 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 for the last four years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.
AB - 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 for the last four years, we aim to continue facilitating the UbiComp community in developing a holistic approach for sensing and intervention in the context of mental health.
KW - behavioral intervention
KW - mental health
KW - mHealth
KW - mobile sensing
KW - predictive modeling
UR - http://www.scopus.com/inward/record.url?scp=85091875229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091875229&partnerID=8YFLogxK
U2 - 10.1145/3410530.3414615
DO - 10.1145/3410530.3414615
M3 - Conference contribution
AN - SCOPUS:85091875229
T3 - UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
SP - 474
EP - 476
BT - UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery
Y2 - 12 September 2020 through 17 September 2020
ER -