Searching for Mental Health: A Mixed-Methods Study of Young People's Online Help-seeking

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Title: Searching for Mental Health: A Mixed-Methods Study of Young People's Online Help-seeking
Authors: Pretorius, ClaudetteMcCashin, DarraghKavanagh, NaoiseCoyle, David
Permanent link: http://hdl.handle.net/10197/11934
Date: 19-Apr-2020
Online since: 2021-02-09T09:43:35Z
Abstract: Seeking help is often an important step in addressing mental health difficulties. Evidence suggests that positive help-seeking experiences contribute to an increased likelihood of future help-seeking and achieving improved outcomes. However, help-seeking is a complex process. Alongside traditional sources, digital technologies offer many pathways to help. Using a mixed methods approach across two studies, this paper explores key design factors for online mental health resources that can support young people's help-seeking. First, a large online survey (n=1308) highlighted challenges and identified common help-seeking scenarios, including information-seeking, person-centred approaches and crisis situations. Using survey data, personas were developed to represent different help-seekers - each characterised by a particular help-seeking scenario. The personas were then used in co-design workshops to facilitate further exploration of help-seeking needs. Four key design considerations were identified: connectedness, accessible information, personalisation, and immediacy. Based on our findings, we provide design recommendations that are grounded in existing theories of help-seeking.
Funding Details: Science Foundation Ireland
Funding Details: Insight Research Centre
Type of material: Conference Publication
Copyright (published version): 2020 the Authors
Keywords: Mental healthHelp-seekingSearchYoung peopleBehaviourCo-designPersonasMixed methods
DOI: 10.1145/3313831.3376328
Other versions: https://chi2020.acm.org/
Language: en
Status of Item: Peer reviewed
Is part of: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Conference Details: The ACM CHI Conference on Human Factors in Computing Systems, Honolulu, United States of America, 25-30 April 2020 (cancelled due to the coronavirus outbreak)
ISBN: 978-1-4503-6708-0/20/04
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Computer Science Research Collection
Psychology Research Collection
Insight Research Collection

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