TY - GEN
T1 - 3 rd international workshop on mental health and well-being
T2 - 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
AU - Abdullah, Saeed
AU - Sano, Akane
AU - Murnane, Elizabeth L.
AU - Musolesi, Mirco
AU - Bardram, Jakob E.
AU - Servia, Sandra
AU - Choudhury, Tanzeem
N1 - Publisher Copyright:
© 2018 Copyright held by the owner/author(s).
PY - 2018/10/8
Y1 - 2018/10/8
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 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.
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 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.
KW - Behavioral Intervention
KW - Mental Health
KW - MHealth
KW - Mobile Sensing
KW - Predictive Modeling
UR - http://www.scopus.com/inward/record.url?scp=85058307349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058307349&partnerID=8YFLogxK
U2 - 10.1145/3267305.3274147
DO - 10.1145/3267305.3274147
M3 - Conference contribution
AN - SCOPUS:85058307349
T3 - 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
SP - 1681
EP - 1685
BT - 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
PB - Association for Computing Machinery, Inc
Y2 - 8 October 2018 through 12 October 2018
ER -