TY - GEN
T1 - 7th International Workshop on Mental Health and Well-being
T2 - 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022
AU - Mishra, Varun
AU - Sano, Akane
AU - Kunchay, Sahiti
AU - Abdullah, Saeed
AU - Bardram, Jakob E.
AU - Murnane, Elizabeth
AU - Choudhury, Tanzeem
AU - Musolesi, Mirco
AU - Nunes Vilaza, Giovanna
AU - Nandakumar, Rajalakshmi
AU - Rahman, Tauhidur
AU - Xu, Xuhai
AU - Zach, King
AU - Kalanadhabhatta, Manasa
AU - Adler, Daniel A.
AU - Krell, Rony
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/9/11
Y1 - 2022/9/11
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 five 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 five 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=85158948820&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85158948820&partnerID=8YFLogxK
U2 - 10.1145/3544793.3560374
DO - 10.1145/3544793.3560374
M3 - Conference contribution
AN - SCOPUS:85158948820
T3 - UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers
SP - 468
EP - 471
BT - UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
Y2 - 11 September 2022 through 15 September 2022
ER -