Literature DB >> 33597898

Co-developing a Mental Health and Wellbeing Chatbot With and for Young People.

Christine Grové1.   

Abstract

There are many young people who experience mental health and wellbeing challenges. A potential negative mental health trigger for some youth is a struggle to cope with stress at school, feelings of depression and anxiety and availability of adequate help for these stressors. In response to youth needs a mental health and wellbeing Chatbot has been co-developed with youth, technology partners and expert stakeholders. An element of the Chatbot is powered by artificial intelligence and rules based AI using natural language processing. It is created to communicate evidence based resources, wellbeing support, educational mental health information and adaptive coping strategies. This paper will discuss how the Chatbot has been developed, highlighting its participatory, co-design process with youth who are the key stakeholders to benefit from this digital tool. Research from interviews and surveys informed the creation of the Chabots personality and its character design. Examples of the conversation design and content development are provided. The paper finishes with how, if at all, digital tools such as Chatbot applications could support the mental health of young people in secondary schools or health care settings in conjunction with the wellbeing or health care team, concluding with lessons learned and cautions.
Copyright © 2021 Grové.

Entities:  

Keywords:  artificial intelligence; chatbot; digital intervention; mental health; youth

Year:  2021        PMID: 33597898      PMCID: PMC7882508          DOI: 10.3389/fpsyt.2020.606041

Source DB:  PubMed          Journal:  Front Psychiatry        ISSN: 1664-0640            Impact factor:   4.157


  3 in total

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Authors:  Emily W S Tsoi; Winnie W S Mak; Connie Y Y Ho; Gladys T Y Yeung
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Review 3.  Language Use in Conversational Agent-Based Health Communication: Systematic Review.

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Journal:  J Med Internet Res       Date:  2022-07-08       Impact factor: 7.076

  3 in total

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