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A Self-diagnosis Medical Chatbot for H5N1 Virus

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Learning Technology for Education Challenges (LTEC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1830))

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Abstract

Chatbots are everywhere these days. This paper presents a chatbot, Hans, that is designed for dealing with the public during a H5N1 pandemic. Hans provides a natural way of educating the public on health safety measures with its conversational ability. Users are able to perform self-assessment for H5N1 infection and receive suggestions on preventive actions from the virus spread. Hans is developed based on the Verbot tool with C# programming platform. User Acceptance Test is carried out via an online questionnaire distributed among 30 respondents. The results revealed favorable feedback from the users on the roles and capacity of Hans in providing information and diagnosis on H5N1. Hans is hoped to assist the frontliners in terms of improving service times, reducing workload, and saving costs in manning the medical team.

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Acknowledgement

This project is sponsored by Asia Pacific University of Technology and Innovation.

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Authors and Affiliations

  1. Faculty of Computing, Engineering and Technology, Asia Pacific University of Technology and Innovation, Technology Part Malaysia, Bukit Jalil, 57000, Kuala Lumpur, Malaysia

    Vinothini Kasinathan, Ooi Zhen Wei & Tham Hoong Ching

  2. Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, 86400, Panchor, Johor, Malaysia

    Aida Mustapha

Authors
  1. Vinothini Kasinathan
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  2. Aida Mustapha
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  3. Ooi Zhen Wei
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  4. Tham Hoong Ching
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Corresponding author

Correspondence to Vinothini Kasinathan .

Editor information

Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, UK

    Lorna Uden

  2. Seinajoki University of Applied Science, Seinajoki, Finland

    Dario Liberona

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Kasinathan, V., Mustapha, A., Wei, O.Z., Ching, T.H. (2023). A Self-diagnosis Medical Chatbot for H5N1 Virus. In: Uden, L., Liberona, D. (eds) Learning Technology for Education Challenges. LTEC 2023. Communications in Computer and Information Science, vol 1830. Springer, Cham. https://doi.org/10.1007/978-3-031-34754-2_11

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  • DOI: https://doi.org/10.1007/978-3-031-34754-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34753-5

  • Online ISBN: 978-3-031-34754-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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