TY - GEN
T1 - Meeting Users Where They Are
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
AU - Kornfield, Rachel
AU - Meyerhoff, Jonah
AU - Studd, Hannah
AU - Bhattacharjee, Ananya
AU - Williams, Joseph Jay
AU - Reddy, Madhu
AU - Mohr, David C.
N1 - Funding Information:
This work was funded by the National Institute for Mental Health (P50MH119029, K01MH125172, R34MH124960, T32MH115882). In addition, we acknowledge a gift from the Microsoft AI for Accessibility program to the Center for Behavioral Intervention Technologies that, in part, supported this work (http://aka.ms/ai4a).
Publisher Copyright:
© 2022 ACM.
PY - 2022/4/29
Y1 - 2022/4/29
N2 - Young adults have high rates of mental health conditions, but most do not want or cannot access formal treatment. We therefore recruited young adults with depression or anxiety symptoms to co-design a digital tool for self-managing their mental health concerns. Through study activities - consisting of an online discussion group and a series of design workshops - participants highlighted the importance of easy-to-use digital tools that allow them to exercise independence in their self-management. They described ways that an automated messaging tool might benefit them by: facilitating experimentation with diverse concepts and experiences; allowing variable depth of engagement based on preferences, availability, and mood; and collecting feedback to personalize the tool. While participants wanted to feel supported by an automated tool, they cautioned against incorporating an overtly human-like motivational tone. We discuss ways to apply these findings to improve the design and dissemination of digital mental health tools for young adults.
AB - Young adults have high rates of mental health conditions, but most do not want or cannot access formal treatment. We therefore recruited young adults with depression or anxiety symptoms to co-design a digital tool for self-managing their mental health concerns. Through study activities - consisting of an online discussion group and a series of design workshops - participants highlighted the importance of easy-to-use digital tools that allow them to exercise independence in their self-management. They described ways that an automated messaging tool might benefit them by: facilitating experimentation with diverse concepts and experiences; allowing variable depth of engagement based on preferences, availability, and mood; and collecting feedback to personalize the tool. While participants wanted to feel supported by an automated tool, they cautioned against incorporating an overtly human-like motivational tone. We discuss ways to apply these findings to improve the design and dissemination of digital mental health tools for young adults.
KW - automated messaging
KW - co-design
KW - digital mental health tools
KW - mental health
KW - young adults
UR - http://www.scopus.com/inward/record.url?scp=85128425489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85128425489&partnerID=8YFLogxK
U2 - 10.1145/3491102.3502046
DO - 10.1145/3491102.3502046
M3 - Conference contribution
C2 - 35574512
AN - SCOPUS:85128425489
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -
