TY - JOUR
T1 - "I Just Can't Help But Smile Sometimes"
T2 - Collaborative Self-Management of Depression
AU - Burgess, Eleanor R.
AU - Reddy, Madhu C.
AU - Mohr, David C.
N1 - Funding Information:
We thank our participants for sharing their stories with us. This work was partially supported by the National Institute of Mental Health P50 MH115882 and the Northwestern University Communication Studies Department Dissertation Award.
Publisher Copyright:
© 2022 ACM.
PY - 2022/4/7
Y1 - 2022/4/7
N2 - Depression is a challenging condition that requires individuals to manage their moods and emotions over time. Within CSCW, there has been an interest in understanding how individuals seek and share support on social media and in online communities. However, less attention has been paid to how collaboration as an aspect of self-management of depression unfolds in people's daily lives. In this paper, we explore the collaborative self-management work of 28 individuals managing depression who live in the United States. Data collection included remote semi-structured interviews with an associated cognitive mapping exercise. Our findings describe who participants turn to for day-to-day collaborative support, how collaborative activities are enacted (across both mood-focused and preventative support practices), and where these often technology-mediated interactions occur across text, phone, video, and picture-based channels. We discuss collaborative self-management in the depression support context, including key characteristics: agency, reciprocity, time, and interaction. We also present a four-step model of how the process occurs over time (awareness, planning, interaction, and reflection). We conclude by discussing how technology ecosystems support individuals' collaborative self-management.
AB - Depression is a challenging condition that requires individuals to manage their moods and emotions over time. Within CSCW, there has been an interest in understanding how individuals seek and share support on social media and in online communities. However, less attention has been paid to how collaboration as an aspect of self-management of depression unfolds in people's daily lives. In this paper, we explore the collaborative self-management work of 28 individuals managing depression who live in the United States. Data collection included remote semi-structured interviews with an associated cognitive mapping exercise. Our findings describe who participants turn to for day-to-day collaborative support, how collaborative activities are enacted (across both mood-focused and preventative support practices), and where these often technology-mediated interactions occur across text, phone, video, and picture-based channels. We discuss collaborative self-management in the depression support context, including key characteristics: agency, reciprocity, time, and interaction. We also present a four-step model of how the process occurs over time (awareness, planning, interaction, and reflection). We conclude by discussing how technology ecosystems support individuals' collaborative self-management.
KW - collaborative self-management
KW - communication channels
KW - depression
KW - mental health
KW - polymedia
KW - roles
KW - social network
KW - social support
KW - technology ecosystems
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UR - http://www.scopus.com/inward/citedby.url?scp=85128401979&partnerID=8YFLogxK
U2 - 10.1145/3512917
DO - 10.1145/3512917
M3 - Article
AN - SCOPUS:85128401979
SN - 2573-0142
VL - 6
JO - Proceedings of the ACM on Human-Computer Interaction
JF - Proceedings of the ACM on Human-Computer Interaction
IS - CSCW1
M1 - 70
ER -