Generative AI in Performance Design: Type Construction and Current Application Status

Research Article
Open access

Generative AI in Performance Design: Type Construction and Current Application Status

Ruiying Jia 1*
  • 1 College of Arts, Soochow University, Suzhou, China    
  • *corresponding author JiaRuiying_Agnes@outlook.com
CHR Vol.67
ISSN (Print): 2753-7072
ISSN (Online): 2753-7064
ISBN (Print): 978-1-80590-115-0
ISBN (Online): 978-1-80590-116-7

Abstract

Driven by the momentum of the digital era, performance design is undergoing a significant transformation towards intelligentization. As a key force in the integration of technology and art, generative artificial intelligence (AI) is deeply involved in various stages of performance design, including creative content generation, real-time interaction, system optimization, and adaptive control. This evolution signals a shift from traditional, tool-assisted methods to dynamic modes of human–AI co-creation, and in some cases, AI-led design paradigms. While generative AI has already demonstrated promising applications in performance design, significant challenges persist, particularly in ensuring technical reliability, clarifying copyright ownership, and fostering effective human–AI collaboration. This paper examines the intervention contexts, functional categories, and technical architecture of generative AI in performance design, and further explores the prevailing issues and challenges associated with its application in this field, aiming to provide both theoretical foundations and practical strategies for the advancement of intelligent performance design.

Keywords:

Generative Artificial Intelligence (AI), Performance Design, Intelligent performance

Jia,R. (2025). Generative AI in Performance Design: Type Construction and Current Application Status. Communications in Humanities Research,67,24-29.
Export citation

References

[1]. Befera, L., & Bioglio, L. (2022). Classifying contemporary AI applications in intermedia theatre: Overview and analysis of some cases. Workshop on Artificial Intelligence and Creativity. Workshop on Artificial Intelligence and Creativity, Udine, Italy.

[2]. Cornwell, L. (2019). Using artificial intelligence for audience engagement in the performing arts.

[3]. O’Hare, M. (2018). Points of contact: An actor-centered approach for the design of interactive environments for theatre performance [Ph.D.]. https://www.proquest.com/docview/2125560246/abstract/A37DAF51F83D4B97PQ/1

[4]. Kwon, S. (2024). The identity of AI-generated images and the change of visual art. korean association for visual culture, 45, 5–28.

[5]. Cai, Y., Kim, H. Y., & Dong, J. (2024). A study on the innovation of traditional drama performance forms by intelligent media based on AI-assisted analysis framework. Applied Mathematics and Nonlinear Sciences, 9(1), 20241632. https://doi.org/10.2478/amns-2024-1632

[6]. Li, S. (2020). The trend and characteristic of AI in art design. Journal of Physics: Conference Series, 1624(5), 052028. https://doi.org/10.1088/1742-6596/1624/5/052028

[7]. Aïtouche, A., Gehin, A. L., Flix, N., & Dumortier, G. (2002). Generic control/command distributed system – application to the supervision of moving stage sets in theaters. European Journal of Control, 8(1), 64–75. https://doi.org/10.3166/ejc.8.64-75

[8]. Du, S. (2024). The opportunities and challenges of theater stage design in the era of artificial intelligence. Communications in Humanities Research, 38(1), 76–80. https://doi.org/10.54254/2753-7064/38/20240187

Cite this article

Jia,R. (2025). Generative AI in Performance Design: Type Construction and Current Application Status. Communications in Humanities Research,67,24-29.

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 ICLLCD 2025 Symposium: Enhancing Organizational Efficiency and Efficacy through Psychology and AI

ISBN：978-1-80590-115-0(Print) / 978-1-80590-116-7(Online)
Editor：Rick Arrowood
Conference website: https://2025.icllcd.org/Boston.html
Conference date: 12 May 2025
Series: Communications in Humanities Research
Volume number: Vol.67
ISSN：2753-7064(Print) / 2753-7072(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).

References

[1]. Befera, L., & Bioglio, L. (2022). Classifying contemporary AI applications in intermedia theatre: Overview and analysis of some cases. Workshop on Artificial Intelligence and Creativity. Workshop on Artificial Intelligence and Creativity, Udine, Italy.

[2]. Cornwell, L. (2019). Using artificial intelligence for audience engagement in the performing arts.

[3]. O’Hare, M. (2018). Points of contact: An actor-centered approach for the design of interactive environments for theatre performance [Ph.D.]. https://www.proquest.com/docview/2125560246/abstract/A37DAF51F83D4B97PQ/1

[4]. Kwon, S. (2024). The identity of AI-generated images and the change of visual art. korean association for visual culture, 45, 5–28.

[5]. Cai, Y., Kim, H. Y., & Dong, J. (2024). A study on the innovation of traditional drama performance forms by intelligent media based on AI-assisted analysis framework. Applied Mathematics and Nonlinear Sciences, 9(1), 20241632. https://doi.org/10.2478/amns-2024-1632

[6]. Li, S. (2020). The trend and characteristic of AI in art design. Journal of Physics: Conference Series, 1624(5), 052028. https://doi.org/10.1088/1742-6596/1624/5/052028

[7]. Aïtouche, A., Gehin, A. L., Flix, N., & Dumortier, G. (2002). Generic control/command distributed system – application to the supervision of moving stage sets in theaters. European Journal of Control, 8(1), 64–75. https://doi.org/10.3166/ejc.8.64-75

[8]. Du, S. (2024). The opportunities and challenges of theater stage design in the era of artificial intelligence. Communications in Humanities Research, 38(1), 76–80. https://doi.org/10.54254/2753-7064/38/20240187

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.