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Mental State-Based Dialogue System for Mental Health Care by Using GPT-3

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Proceedings of Eighth International Congress on Information and Communication Technology (ICICT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 695))

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Abstract

Mental health disorders are conditions of the mind that cause changes in emotion, thought, and behavior. It can be connected with distress and problems functioning in social, professional, or family activities. This study tries to address this issue and improve the user's mental health situation by using the proposed artificial intelligence dialogue system model. Moreover, this research aims to determine the user’s current situation through text-based conversation and provide suggestions to improve his mental health problem. The proposed methodology is divided into three parts: Dialogue analyzer or Natural language understanding (NLU), Dialogue manager, and Dialogue generation. The NLU is responsible for understanding user utterances and the dialogue manager is responsible for defining the policy. Finally, the dialogue generation module generates the response for the user. In the result section, we have tried to calculate every module’s training and validation accuracy, automatic evaluation by using embedding similarity and BLEU, ROUGE score. We got 0.66 and 0.93 testing accuracy for the NLU and dialogue manager modules, respectively. Finally, this study got a 0.63 task success rate by using a combined method of correct intent detection and human evaluation.

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Authors and Affiliations

  1. Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan

    Md Nadim Kaysar & Shun Shiramatsu

Authors
  1. Md Nadim Kaysar
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  2. Shun Shiramatsu
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Correspondence to Md Nadim Kaysar .

Editor information

Editors and Affiliations

  1. Department of Design Engineering and Mathematics, Middlesex University London, London, UK

    Xin-She Yang

  2. Department of Biomedical Engineering, University of Reading, Reading, UK

    R. Simon Sherratt

  3. Department of Computer Science and Engineering, Techno International New Town, Chakpachuria, West Bengal, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kaysar, M.N., Shiramatsu, S. (2024). Mental State-Based Dialogue System for Mental Health Care by Using GPT-3. In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Eighth International Congress on Information and Communication Technology. ICICT 2023. Lecture Notes in Networks and Systems, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-99-3043-2_74

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  • DOI: https://doi.org/10.1007/978-981-99-3043-2_74

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3042-5

  • Online ISBN: 978-981-99-3043-2

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