Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques

Qi Ge; Lu Liu; Hewei Zhang; Linfang Li; Xiaonan Li; Xinyi Zhu; Lejian Liao; Dandan Song

doi:10.1007/978-981-99-6187-0_36

Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques

Qi Ge, Lu Liu, Hewei Zhang, Linfang Li, Xiaonan Li, Xinyi Zhu, Lejian Liao, Dandan Song^*

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Mental health issues are a major concern for teenagers, and access to affordable and accessible support is critical for promoting positive mental health outcomes. Philobot is a chatbot designed to provide personalized mental health support for teenagers with cognitive behavioral therapy (CBT) practices. It also offers a chatting moodule that facilitates building a rapport between the virtual assistant and its users. This paper presents the design, implementation, and validation of Philobot’s key features, including its fine-grained intent classification system, FAQ retrieval model, and response generation model using top-k sampling. Evaluation results show that Philobot is a promising tool for promoting positive mental health outcomes in teenagers.

Original language	English
Title of host publication	Proceedings of 2023 Chinese Intelligent Automation Conference
Editors	Zhidong Deng
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	361-371
Number of pages	11
ISBN (Print)	9789819961863
DOIs	https://doi.org/10.1007/978-981-99-6187-0_36
Publication status	Published - 2023
Event	Chinese Intelligent Automation Conference, CIAC 2023 - Nanjing, China Duration: 2 Oct 2023 → 5 Oct 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1082 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Chinese Intelligent Automation Conference, CIAC 2023
Country/Territory	China
City	Nanjing
Period	2/10/23 → 5/10/23

Keywords

chatbot
cognitive behavioral therapy
dialogue system

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-99-6187-0_36

Cite this

Ge, Q., Liu, L., Zhang, H., Li, L., Li, X., Zhu, X., Liao, L., & Song, D. (2023). Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques. In Z. Deng (Ed.), Proceedings of 2023 Chinese Intelligent Automation Conference (pp. 361-371). (Lecture Notes in Electrical Engineering; Vol. 1082 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-6187-0_36

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title = "Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques",

abstract = "Mental health issues are a major concern for teenagers, and access to affordable and accessible support is critical for promoting positive mental health outcomes. Philobot is a chatbot designed to provide personalized mental health support for teenagers with cognitive behavioral therapy (CBT) practices. It also offers a chatting moodule that facilitates building a rapport between the virtual assistant and its users. This paper presents the design, implementation, and validation of Philobot{\textquoteright}s key features, including its fine-grained intent classification system, FAQ retrieval model, and response generation model using top-k sampling. Evaluation results show that Philobot is a promising tool for promoting positive mental health outcomes in teenagers.",

keywords = "chatbot, cognitive behavioral therapy, dialogue system",

author = "Qi Ge and Lu Liu and Hewei Zhang and Linfang Li and Xiaonan Li and Xinyi Zhu and Lejian Liao and Dandan Song",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.; Chinese Intelligent Automation Conference, CIAC 2023 ; Conference date: 02-10-2023 Through 05-10-2023",

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doi = "10.1007/978-981-99-6187-0_36",

language = "English",

isbn = "9789819961863",

series = "Lecture Notes in Electrical Engineering",

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Ge, Q, Liu, L, Zhang, H, Li, L, Li, X, Zhu, X, Liao, L & Song, D 2023, Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques. in Z Deng (ed.), Proceedings of 2023 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol. 1082 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 361-371, Chinese Intelligent Automation Conference, CIAC 2023, Nanjing, China, 2/10/23. https://doi.org/10.1007/978-981-99-6187-0_36

Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques. / Ge, Qi; Liu, Lu; Zhang, Hewei et al.
Proceedings of 2023 Chinese Intelligent Automation Conference. ed. / Zhidong Deng. Springer Science and Business Media Deutschland GmbH, 2023. p. 361-371 (Lecture Notes in Electrical Engineering; Vol. 1082 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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