"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

要旨

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.

キーワード
Mental Health
Personalization
Tailoring
Depression
Temporality
Digital Interventions
Motivation
著者
Rachel Kornfield
Northwestern University, Evanston, IL, USA
Renwen Zhang
Northwestern University, Evanston, IL, USA
Jennifer Nicholas
University of Melbourne & Northwestern University, Melbourne, VIC, Australia
Stephen M. Schueller
University of California, Irvine, Irvine, CA, USA
Scott A. Cambo
Northwestern University, Evanston, IL, USA
David C. Mohr
Northwestern University, Chicago, IL, USA
Madhu Reddy
Northwestern University, Evanston, IL, USA
DOI

10.1145/3313831.3376309

論文URL

https://doi.org/10.1145/3313831.3376309

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: You live, you learn: your health

Paper session
314 LANA'I
5 件の発表
2020-04-28 23:00:00
2020-04-29 00:15:00
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