Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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The Potential and Mechanism of Artificial Intelligence Driven Non-Player Characters in Video Games for Anxiety Management

Authors
Yuzhen Gao1, *, Zhehan Hu2, Junhao Liu3
1Faculty of Environment, Science and Economy, University of Exeter, Doven, EX4 4QJ, United Kingdom
2School of Computer Science and Engineering, Guangzhou Institute of Science and Technology, Guangdong, 510000, China
3School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China
*Corresponding author. Email: yg378@exeter.ac.uk
Corresponding Author
Yuzhen Gao
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_38How to use a DOI?
Keywords
Non-player Characters; Anxiety Management; Artificial Intelligence
Abstract

Anxiety management is crucial for mental health, which helps individuals navigate through stress and prevents it from escalating into debilitating disorders. Identifying symptoms early can lead to more effective management strategies and reduce the risk of complications, such as depression. Early intervention also promotes a better understanding of the condition, leading to improved self-care and support from others. By addressing anxiety, people can improve their focus, decision-making, and overall quality of life. This study investigated the existing methods of anxiety management and discussed the potential and mechanisms of Artificial Intelligence (AI) non-player characters (NPC) in anxiety in video games. Typical language models are listed and introduced. Also, effective therapeutic means of managing anxiety were introduced. Furthermore, through a series of discussions concerning the integration of video games, psychotherapy, and AI-based language model, this study proposes possible directions for development by incorporating AI-based NPC into video games in order to provide psychological help to players against anxiety. Theoretical and practical implications were discussed.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_38How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuzhen Gao
AU  - Zhehan Hu
AU  - Junhao Liu
PY  - 2024
DA  - 2024/09/23
TI  - The Potential and Mechanism of Artificial Intelligence Driven Non-Player Characters in Video Games for Anxiety Management
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 353
EP  - 362
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_38
DO  - 10.2991/978-94-6463-512-6_38
ID  - Gao2024
ER  -