abstract

Technology Ecosystems: Rethinking Resources for Mental Health

Authors:

Sindhu Kiranmai Ernala,

Munmun De Choudhury,

Stephen Schueller,

Adrian Aguilera,

Mary CzerwinskiAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 8

https://doi.org/10.1145/3334480.3375166

Published: 25 April 2020 Publication History

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Abstract

Current technologies designed for mental health support often have low adoption rates and may not fit people's routines. However, recent literature demonstrates that individuals managing mental illness often incorporate a variety of technologies into their self-management routines, including texting, music, wearables, online communities, games, and social media. Therefore, adopting a perspective focused on understanding the technology ecosystem of mental health management may be a better approach than focusing on singular platforms and applications. In this CHI workshop, we will examine a constellation of digital and non-digital mental health support resources. We will discuss the needs and practices of individuals managing mental illness, how these needs relate to future ecosystems of technologies and services, and the potentials and repercussions of current technologies. By convening a group of interdisciplinary researchers and practitioners, we will collectively address these topics to create resources attentive to individuals' lived experiences with mental illness, goals with respect to management and recovery, and interactions with existing forms of resources, care, and technology.

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Cited By

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Xu TYu JDoyle DVoida S(2023)Technology-Mediated Strategies for Coping with Mental Health Challenges: Insights from People with Bipolar DisorderProceedings of the ACM on Human-Computer Interaction10.1145/36100317:CSCW2(1-31)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610031
Knoche HAbdul-Rahman AClark LCurcin VHuo ZIwaya LLemon OMikulík RNeate TRoper ASkovfoged MVerdezoto NWilson SZiadeh H(2023)Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing CareExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573798(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3573798
Haliburton LLammel MKarolus JSchmidt A(2022)Think Inside the Box: Investigating the Consequences of Everyday Physical Opt-Out Strategies for Mindful Smartphone UseProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3568452(37-46)Online publication date: 27-Nov-2022
https://dl.acm.org/doi/10.1145/3568444.3568452
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Index Terms

Technology Ecosystems: Rethinking Resources for Mental Health
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models

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Published In

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 25 April 2020

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CHI '20

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SIGCHI

CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

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Xu TYu JDoyle DVoida S(2023)Technology-Mediated Strategies for Coping with Mental Health Challenges: Insights from People with Bipolar DisorderProceedings of the ACM on Human-Computer Interaction10.1145/36100317:CSCW2(1-31)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610031
Knoche HAbdul-Rahman AClark LCurcin VHuo ZIwaya LLemon OMikulík RNeate TRoper ASkovfoged MVerdezoto NWilson SZiadeh H(2023)Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing CareExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573798(1-7)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3573798
Haliburton LLammel MKarolus JSchmidt A(2022)Think Inside the Box: Investigating the Consequences of Everyday Physical Opt-Out Strategies for Mindful Smartphone UseProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3568452(37-46)Online publication date: 27-Nov-2022
https://dl.acm.org/doi/10.1145/3568444.3568452
Venkatasubramanian KRanalli T(2022)Designing Post-Trauma Self-Regulation Apps for People with Intellectual and Developmental DisabilitiesProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544798(1-14)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3544798

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Recommendations

Leveraging technology to improve quality of mental health care in Karnataka

Design Opportunities for Mental Health Peer Support Technologies

Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems

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