Supporting mental health self-care discovery through a chatbot
Moilanen, Joonas; van Berkel, Niels; Visuri, Aku; Gadiraju, Ujwal; van der Maden, Willem; Hosio, Simo (2023-03-07)
Moilanen J, van Berkel N, Visuri A, Gadiraju U, van der Maden W and Hosio S (2023) Supporting mental health self-care discovery through a chatbot. Front. Digit. Health 5:1034724. doi: 10.3389/fdgth.2023.1034724
© 2023 Moilanen, van Berkel, Visuri, Gadiraju, van der Maden and Hosio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
https://creativecommons.org/licenses/by/4.0/
https://urn.fi/URN:NBN:fi-fe2023082199880
Tiivistelmä
Abstract
Good mental health is imperative for one’s wellbeing. While clinical mental disorder treatments exist, self-care is an essential aspect of mental health. This paper explores the use and perceived trust of conversational agents, chatbots, in the context of crowdsourced self-care through a between-subjects study (N = 80). One group used a standalone system with a conventional web interface to discover self-care methods. The other group used the same system wrapped in a chatbot interface, facilitating utterances and turn-taking between the user and a chatbot. We identify the security and integrity of the systems as critical factors that affect users’ trust. The chatbot interface scored lower on both these factors, and we contemplate the potential underlying reasons for this. We complement the quantitative data with qualitative analysis and synthesize our findings to identify suggestions for using chatbots in mental health contexts.
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