Supporting mental health self-care discovery through a chatbot

Frontiers in Digital Health

Digital Health

Niels van Berkel¹  Ujwal Gadiraju²  Willem van der Maden³  Joonas Moilanen⁴  Simo Hosio⁴  Aku Visuri⁴ 

[1] Department of Computer Science, Human-Centered Computing, Aalborg University, Aalborg, Denmark;Faculty of Electrical Engineering, Mathematics and Computer Science, Web Information Systems, Delft University of Technology, Delft, Netherlands;Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands;Faculty of Information Technology and Electrical Engineering, Center for Ubiquitous Computing, University of Oulu, Oulu, Finland;

关键词: conversational agent (CA);    chatbot;    conversational user interface (CUI);    mental health;    self-care;    human-computer trust;    human-computer interaction;   

DOI  :  10.3389/fdgth.2023.1034724

 received in 2022-09-01, accepted in 2023-02-10,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
© 2023 Moilanen, van Berkel, Visuri, Gadiraju, van der Maden and Hosio.