TY - GEN
T1 - 4th international workshop on mental health and well-being
T2 - 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
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 - Mishra, Varun
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/9/9
Y1 - 2019/9/9
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 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.
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 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.
KW - Behavioral Intervention
KW - Mental Health
KW - MHealth
KW - Mobile Sensing
KW - Predictive Modeling
UR - http://www.scopus.com/inward/record.url?scp=85072880920&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072880920&partnerID=8YFLogxK
U2 - 10.1145/3341162.3347764
DO - 10.1145/3341162.3347764
M3 - Conference contribution
AN - SCOPUS:85072880920
T3 - UbiComp/ISWC 2019- - 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
SP - 899
EP - 901
BT - UbiComp/ISWC 2019- - 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
PB - Association for Computing Machinery, Inc
Y2 - 9 September 2019 through 13 September 2019
ER -