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      Best Practices for Designing Chatbots in Mental Healthcare – A Case Study on iHelpr

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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)
      Human Computer Interaction Conference
      4 - 6 July 2018
      Chatbot, Microsoft Bot Framework, Mental healthcare, Screening instruments, Coping mechanisms, E-learning, Chatbot Usability, Chatbot Development, Chatbot Methodology, Ethical considerations
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            Abstract

            This paper outlines the design and development of a chatbot called iHelpr for mental healthcare that 1) administers self-assessment instruments/scales, 2) provides wellbeing and self-help guidance and information, all within a conversational interface. Chatbots are becoming more prevalent in our daily lives, with bots available to provide the user with daily weather forecasts, book holidays, and even converse with a virtual therapist. It is predicted that users may soon prefer to complete tasks using a conversational interface that are traditionally done through a webpage or mobile application. In the context of mental healthcare, demand exceeds supply, waiting lists are ever growing, and populations in rural communities still struggle to access mental healthcare. Chatbots can be utilised to improve and broaden access to mental healthcare. When designing chatbots for mental healthcare, there are further considerations, such as managing risk and ethical considerations. Furthermore, usability and the design of conversational flow are important factors to consider when developing chatbots for any domain. This paper outlines best practices and experiences extrapolated from developing the iHelpr chatbot.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 1-5
            Affiliations
            [0001]Ulster University

            Belfast, N. Ireland
            [0002]Inspire Workplaces

            Belfast, N. Ireland
            Article
            10.14236/ewic/HCI2018.129
            1a03ac95-827e-42db-ba57-67055d56b15b
            © Cameron et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.129
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Chatbot,Microsoft Bot Framework,Mental healthcare,Screening instruments,Coping mechanisms,E-learning,Chatbot Usability,Chatbot Development,Chatbot Methodology,Ethical considerations

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