TY - GEN
T1 - "Energy is a Finite Resource"
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
AU - Kornfield, Rachel
AU - Zhang, Renwen
AU - Nicholas, Jennifer
AU - Schueller, Stephen M.
AU - Cambo, Scott A.
AU - Mohr, David C.
AU - Reddy, Madhu
N1 - Funding Information:
The authors thank our participants. We also thank Drs. Darren Gergle, Arlen Moller, Emily Lattie, Andrea Graham, and Kathryn Ringland for feedback on earlier versions of this paper. RK was supported by a grant from the National Institute of Mental Health (T32 MH115882).
Publisher Copyright:
© 2020 ACM.
PY - 2020/4/21
Y1 - 2020/4/21
N2 - While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.
AB - While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.
KW - depression
KW - digital interventions
KW - mental health
KW - motivation
KW - personalization
KW - tailoring
KW - temporality
UR - http://www.scopus.com/inward/record.url?scp=85091287273&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091287273&partnerID=8YFLogxK
U2 - 10.1145/3313831.3376309
DO - 10.1145/3313831.3376309
M3 - Conference contribution
C2 - 33585841
AN - SCOPUS:85091287273
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 25 April 2020 through 30 April 2020
ER -
