Research Article
Open access
Published on 7 June 2024
Download pdf
Zhai,Q. (2024). AI-driven design and enhanced immersion in open-world games. Applied and Computational Engineering,64,207-215.
Export citation

AI-driven design and enhanced immersion in open-world games

Qirui Zhai *,1,
  • 1 Computing Science and Artificial Intelligence College, Suzhou City University, Suzhou, Jiangsu, 215104, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/64/20241435

Abstract

The essay conducts a systematic analysis of the present condition and difficulties faced by AI application in open-world games by means of a literature survey. The text delves into strategies and techniques for augmenting the level of immersion in games, expanding the interaction with non-player characters (NPCs), and advancing customized gaming experiences through the utilization of artificial intelligence (AI) technology. The ultimate objective is to augment players' self-awareness within games and investigate novel approaches to social interaction. In order to accomplish this objective, a novel open-world game prototype has been designed with the purpose of advancing AI game development. This is achieved through the exploration of several game types that use AI. The objective of designing AI games is to augment players' self-awareness in gaming and advance the creation of novel social interaction techniques for future games

Keywords

artificial intelligence, open world game, social interaction, immersion

[1]. Zheng, S., Trott, A., Srinivasa, S., Naik, N., Gruesbeck, M., Parkes, D. C., & Socher, R. (2020). The ai economist: Improving equality and productivity with ai-driven tax policies. arXiv preprint arXiv:2004.13332.

[2]. Hacking, C. AI Game Design Generation and Evaluation for 3D Platformer Games (Doctoral dissertation, Maastricht University).

[3]. Zhang, R., McNeese, N. J., Freeman, G., & Musick, G. (2021). " An ideal human" expectations of AI teammates in human-AI teaming. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3), 1-25.

[4]. Kumaran, V., Rowe, J., Mott, B., & Lester, J. (2023, October). SCENECRAFT: automating interactive narrative scene generation in digital games with large language models. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (Vol. 19, No. 1, pp. 86-96).

[5]. Lv, Z. (2023). Generative artificial intelligence in the metaverse era. Cognitive Robotics.

[6]. Reis, S. P. R. A. (2024). Artificial Intelligence Methods for Automated Difficulty and Power Balance in Games.

Cite this article

Zhai,Q. (2024). AI-driven design and enhanced immersion in open-world games. Applied and Computational Engineering,64,207-215.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://www.confcds.org/
ISBN:978-1-83558-425-5(Print) / 978-1-83558-426-2(Online)
Conference date: 12 September 2024
Editor:Alan Wang, Roman Bauer
Series: Applied and Computational Engineering
Volume number: Vol.64
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).