research-article

In Helping a Vulnerable Bot, You Help Yourself: Designing a Social Bot as a Care-Receiver to Promote Mental Health and Reduce Stigma

Authors:

Mintra Ruensuk,

Hwajung HongAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 13

https://doi.org/10.1145/3313831.3376743

Published: 23 April 2020 Publication History

Abstract

Helping others can have a positive effect on both the giver and the receiver. However, supporting someone with depression can be complicated and overwhelming. To address this, we proposed a Facebook-based social bot displaying depressive symptoms and disclosing vulnerable experiences that allows users to practice providing reactions online. We investigated how 55 college students interacted with the social bot for three weeks and how these support-giving experiences affected their mental health and stigma. By responding to the bot, the participants reframed their own negative experiences, reported reduced feelings of danger regarding an individual with depression and increased willingness to help the person, and presented favorable attitudes toward seeking treatment for depression. We discuss design opportunities for accessible social bots that could help users to keep practicing peer support interventions without fear of negative consequences.

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Cited By

Dailah HKoriri MSabei AKriry TZakri M(2024)Artificial Intelligence in Nursing: Technological Benefits to Nurse’s Mental Health and Patient Care QualityHealthcare10.3390/healthcare1224255512:24(2555)Online publication date: 18-Dec-2024
https://doi.org/10.3390/healthcare12242555
Pisani AWyman PCero IKelberman CGurditta KJudd ESchmeelk-Cone KMohr DGoldston DErtefaie A(2024)Text Messaging to Extend School-Based Suicide Prevention: Pilot Randomized Controlled TrialJMIR Mental Health10.2196/5640711(e56407)Online publication date: 6-Dec-2024
https://doi.org/10.2196/56407
Shin DWang LHsieh G(2024)From Paper to Card: Transforming Design Implications with Generative AIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642266(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642266
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Index Terms

In Helping a Vulnerable Bot, You Help Yourself: Designing a Social Bot as a Care-Receiver to Promote Mental Health and Reduce Stigma
1. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

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

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Published: 23 April 2020

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Cited By

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https://doi.org/10.3390/healthcare12242555
Pisani AWyman PCero IKelberman CGurditta KJudd ESchmeelk-Cone KMohr DGoldston DErtefaie A(2024)Text Messaging to Extend School-Based Suicide Prevention: Pilot Randomized Controlled TrialJMIR Mental Health10.2196/5640711(e56407)Online publication date: 6-Dec-2024
https://doi.org/10.2196/56407
Shin DWang LHsieh G(2024)From Paper to Card: Transforming Design Implications with Generative AIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642266(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642266
Ahmed AHassan AAziz SAbd-alrazaq AAli NAlzubaidi MAl-Thani DElhusein BSiddig MAhmed MHouseh M(2023)Chatbot features for anxiety and depression: A scoping reviewHealth Informatics Journal10.1177/1460458222114671929:1Online publication date: 24-Jan-2023
https://doi.org/10.1177/14604582221146719
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Fang AZhu H(2023)Measuring the Stigmatizing Effects of a Highly Publicized Event on Online Mental Health DiscourseProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581284(1-18)Online publication date: 19-Apr-2023
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