Exploring Young Adults' Views About Aroha, a Chatbot for Stress Associated With the COVID-19 Pandemic: Interview Study Among Students.

COVID-19 acceptability chatbot mental health qualitative methods young adults

Journal

JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394

Informations de publication

Date de publication:
12 Oct 2023
Historique:
received: 23 11 2022
accepted: 15 05 2023
revised: 14 05 2023
medline: 1 8 2023
pubmed: 1 8 2023
entrez: 1 8 2023
Statut: epublish

Résumé

In March 2020, New Zealand was plunged into its first nationwide lockdown to halt the spread of COVID-19. Our team rapidly adapted our existing chatbot platform to create Aroha, a well-being chatbot intended to address the stress experienced by young people aged 13 to 24 years in the early phase of the pandemic. Aroha was made available nationally within 2 weeks of the lockdown and continued to be available throughout 2020. In this study, we aimed to evaluate the acceptability and relevance of the chatbot format and Aroha's content in young adults and to identify areas for improvement. We conducted qualitative in-depth and semistructured interviews with young adults as well as in situ demonstrations of Aroha to elicit immediate feedback. Interviews were recorded, transcribed, and analyzed using thematic analysis assisted by NVivo (version 12; QSR International). A total of 15 young adults (age in years: median 20; mean 20.07, SD 3.17; female students: n=13, 87%; male students: n=2, 13%; all tertiary students) were interviewed in person. Participants spoke of the challenges of living during the lockdown, including social isolation, loss of motivation, and the demands of remote work or study, although some were able to find silver linings. Aroha was well liked for sounding like a "real person" and peer with its friendly local "Kiwi" communication style, rather than an authoritative adult or counselor. The chatbot was praised for including content that went beyond traditional mental health advice. Participants particularly enjoyed the modules on gratitude, being active, anger management, job seeking, and how to deal with alcohol and drugs. Aroha was described as being more accessible than traditional mental health counseling and resources. It was an appealing option for those who did not want to talk to someone in person for fear of the stigma associated with mental health. However, participants disliked the software bugs. They also wanted a more sophisticated conversational interface where they could express themselves and "vent" in free text. There were several suggestions for making Aroha more relevant to a diverse range of users, including developing content on navigating relationships and diverse chatbot avatars. Chatbots are an acceptable format for scaling up the delivery of public mental health and well-being-enhancing strategies. We make the following recommendations for others interested in designing and rolling out mental health chatbots to better support young people: make the chatbot relatable to its target audience by working with them to develop an authentic and relevant communication style; consider including holistic health and lifestyle content beyond traditional "mental health" support; and focus on developing features that make users feel heard, understood, and empowered.

Sections du résumé

BACKGROUND BACKGROUND
In March 2020, New Zealand was plunged into its first nationwide lockdown to halt the spread of COVID-19. Our team rapidly adapted our existing chatbot platform to create Aroha, a well-being chatbot intended to address the stress experienced by young people aged 13 to 24 years in the early phase of the pandemic. Aroha was made available nationally within 2 weeks of the lockdown and continued to be available throughout 2020.
OBJECTIVE OBJECTIVE
In this study, we aimed to evaluate the acceptability and relevance of the chatbot format and Aroha's content in young adults and to identify areas for improvement.
METHODS METHODS
We conducted qualitative in-depth and semistructured interviews with young adults as well as in situ demonstrations of Aroha to elicit immediate feedback. Interviews were recorded, transcribed, and analyzed using thematic analysis assisted by NVivo (version 12; QSR International).
RESULTS RESULTS
A total of 15 young adults (age in years: median 20; mean 20.07, SD 3.17; female students: n=13, 87%; male students: n=2, 13%; all tertiary students) were interviewed in person. Participants spoke of the challenges of living during the lockdown, including social isolation, loss of motivation, and the demands of remote work or study, although some were able to find silver linings. Aroha was well liked for sounding like a "real person" and peer with its friendly local "Kiwi" communication style, rather than an authoritative adult or counselor. The chatbot was praised for including content that went beyond traditional mental health advice. Participants particularly enjoyed the modules on gratitude, being active, anger management, job seeking, and how to deal with alcohol and drugs. Aroha was described as being more accessible than traditional mental health counseling and resources. It was an appealing option for those who did not want to talk to someone in person for fear of the stigma associated with mental health. However, participants disliked the software bugs. They also wanted a more sophisticated conversational interface where they could express themselves and "vent" in free text. There were several suggestions for making Aroha more relevant to a diverse range of users, including developing content on navigating relationships and diverse chatbot avatars.
CONCLUSIONS CONCLUSIONS
Chatbots are an acceptable format for scaling up the delivery of public mental health and well-being-enhancing strategies. We make the following recommendations for others interested in designing and rolling out mental health chatbots to better support young people: make the chatbot relatable to its target audience by working with them to develop an authentic and relevant communication style; consider including holistic health and lifestyle content beyond traditional "mental health" support; and focus on developing features that make users feel heard, understood, and empowered.

Identifiants

pubmed: 37527545
pii: v7i1e44556
doi: 10.2196/44556
pmc: PMC10574714
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e44556

Informations de copyright

©Annie Kang, Sarah Hetrick, Tania Cargo, Sarah Hopkins, Nicola Ludin, Sarah Bodmer, Kiani Stevenson, Chester Holt-Quick, Karolina Stasiak. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.10.2023.

Références

J Med Internet Res. 2022 Nov 4;24(11):e38743
pubmed: 36219754
J Affect Disord. 2020 Dec 1;277:55-64
pubmed: 32799105
J Med Internet Res. 2020 Jul 13;22(7):e16021
pubmed: 32673216
Behav Cogn Psychother. 2018 Sep;46(5):570-582
pubmed: 29366432
Biomed Inform Insights. 2019 Mar 05;11:1178222619829083
pubmed: 30858710
JMIR Ment Health. 2019 Oct 18;6(10):e14166
pubmed: 31628789
JMIR Ment Health. 2017 Jun 06;4(2):e19
pubmed: 28588005
J Am Acad Child Adolesc Psychiatry. 2020 Nov;59(11):1218-1239.e3
pubmed: 32504808
Int J Qual Health Care. 2007 Dec;19(6):349-57
pubmed: 17872937
J Med Internet Res. 2021 Jan 13;23(1):e17828
pubmed: 33439133
Psychiatry Res. 2020 May;287:112934
pubmed: 32229390
J Med Internet Res. 2020 Sep 17;22(9):e22817
pubmed: 32897868
JMIR Mhealth Uhealth. 2018 Nov 23;6(11):e12106
pubmed: 30470676
JMIR Form Res. 2022 Oct 20;6(10):e37877
pubmed: 36150049
J Med Internet Res. 2019 Apr 16;21(4):e12231
pubmed: 30990463
Int J Med Inform. 2004 Nov;73(11-12):781-95
pubmed: 15491929
JAMA Pediatr. 2022 Apr 01;176(4):400-409
pubmed: 35040870
Nurse Res. 2015 Mar;22(4):6-7
pubmed: 25783145
J Med Internet Res. 2021 Jun 16;23(6):e27807
pubmed: 34132644
Cyberpsychol Behav Soc Netw. 2018 Oct;21(10):625-636
pubmed: 30334655
PLoS One. 2020 Nov 4;15(11):e0241658
pubmed: 33147259
J Med Internet Res. 2019 Jan 14;21(1):e11528
pubmed: 31344671
Eur Child Adolesc Psychiatry. 2023 Jul;32(7):1151-1177
pubmed: 34406494

Auteurs

Annie Kang (A)

Faculty of Arts, University of Auckland, Auckland, New Zealand.

Sarah Hetrick (S)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Tania Cargo (T)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Sarah Hopkins (S)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Nicola Ludin (N)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Sarah Bodmer (S)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Kiani Stevenson (K)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Chester Holt-Quick (C)

Kekeno Tech, Auckland, New Zealand.

Karolina Stasiak (K)

Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Classifications MeSH