TY - GEN
T1 - 8th International Workshop on Mental Health and Well-being
T2 - 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, UbiComp/ISWC 2023
AU - Adler, Daniel A.
AU - Xu, Xuhai
AU - Mishra, Varun
AU - Sano, Akane
AU - Kunchay, Sahiti
AU - Abdullah, Saeed
AU - Bardram, Jakob E.
AU - Murnane, Elizabeth L.
AU - Choudhury, Tanzeem
AU - Musolesi, Mirco
AU - Zhao, Yiran
AU - Nandakumar, Rajalakshmi
AU - Rahman, Tauhidur
AU - King, Zachary D.
AU - Kalanadhabhatta, Manasa
AU - Salekin, Asif
AU - Krell, Rony
AU - Zhang, Han
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/10/8
Y1 - 2023/10/8
N2 - Mental health and well-being are critical components of overall health: suffering from a mental illness can be both debilitating and life-threatening for individuals experiencing symptoms. Detecting symptoms of mental illness early-on and delivering interventions to prevent and/or manage symptoms can improve health and well-being outcomes. Ubiquitous systems are increasingly playing a central role in uncovering clinically relevant contextual information on mental health. Research shows that these systems can passively measure symptoms and enable opportunities to deliver intervention. However, despite this potential, the uptake of ubiquitous technologies into mental healthcare has been slow, and a number of challenges need to be addressed towards the effective implementation of these tools. The goal of this workshop is to bring together researchers, practitioners, and industry professionals interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop for the last seven years, we aim to continue facilitating the UbiComp community in both the conceptualization, translation, and implementation of novel approaches for sensing and intervention in the context of mental health.
AB - Mental health and well-being are critical components of overall health: suffering from a mental illness can be both debilitating and life-threatening for individuals experiencing symptoms. Detecting symptoms of mental illness early-on and delivering interventions to prevent and/or manage symptoms can improve health and well-being outcomes. Ubiquitous systems are increasingly playing a central role in uncovering clinically relevant contextual information on mental health. Research shows that these systems can passively measure symptoms and enable opportunities to deliver intervention. However, despite this potential, the uptake of ubiquitous technologies into mental healthcare has been slow, and a number of challenges need to be addressed towards the effective implementation of these tools. The goal of this workshop is to bring together researchers, practitioners, and industry professionals interested in identifying, articulating, and addressing such issues and opportunities. Following the success of this workshop for the last seven years, we aim to continue facilitating the UbiComp community in both the conceptualization, translation, and implementation of novel approaches 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=85175476073&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85175476073&partnerID=8YFLogxK
U2 - 10.1145/3594739.3605108
DO - 10.1145/3594739.3605108
M3 - Conference contribution
AN - SCOPUS:85175476073
T3 - UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing
SP - 784
EP - 787
BT - UbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing
PB - Association for Computing Machinery, Inc
Y2 - 8 October 2023
ER -