Supporting mental health self-care discovery through a chatbot

Joonas Moilanen*, Niels van Berkel, Aku Visuri, Ujwal Gadiraju, Willem van der Maden, Simo Hosio

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
84 Downloads (Pure)

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.

Original languageEnglish
Article number1034724
Number of pages10
JournalFrontiers in Digital Health
Volume5
DOIs
Publication statusPublished - 2023

Keywords

  • chatbot
  • conversational agent (CA)
  • conversational user interface (CUI)
  • human-computer interaction
  • human-computer trust
  • mental health
  • self-care

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