Generative AI Meets Virtual Reality: A Comprehensive Survey on Applications, Challenges, and Future Direction

被引:1
作者
Rahimi, Fatema [1 ]
Sadeghi-Niaraki, Abolghasem [1 ]
Choi, Soo-Mi [1 ]
机构
[1] Sejong Univ, XR Res Ctr, Dept Comp Sci & Engn & Convergence Engn Intelligen, Seoul 05006, South Korea
关键词
Generative AI; Artificial intelligence; Virtual reality; Three-dimensional displays; Real-time systems; Scalability; Ethics; Bibliometrics; Technological innovation; Surveys; virtual reality; generative VR; ARTIFICIAL-INTELLIGENCE;
D O I
10.1109/ACCESS.2025.3574779
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The integration of generative artificial intelligence (AI) with virtual reality (VR) is reshaping how immersive environments are designed, personalized, and experienced. Unlike traditional VR systems that rely on static and pre-scripted content, Generative VR leverages AI-driven content generation, multimodal interaction, and contextual adaptation to create dynamic virtual spaces. This paper presents a comprehensive survey of the core components, applications, and challenges associated with Generative VR. It explores its transformative impact across education, healthcare, industrial training, entertainment, and emerging fields such as environmental conservation and virtual tourism. While Generative VR enhances user engagement and realism, it also introduces critical challenges, including computational scalability, ethical concerns, AI explainability, and real-time performance constraints. The paper further identifies key research gaps and future directions, such as AI-driven multi-user collaboration, cognitive load management, and cross-domain interoperability. By addressing these challenges and advancing the integration of AI with VR, Generative VR has the potential to reshape human-computer interaction, unlocking new possibilities for creativity, accessibility, and intelligent virtual ecosystems.
引用
收藏
页码:94893 / 94909
页数:17
相关论文
共 85 条
[11]  
Chen JL, 2024, Arxiv, DOI arXiv:2410.21091
[12]  
Chen JL, 2024, Arxiv, DOI arXiv:2410.22177
[13]   Avatar-Centered Feedback: Dynamic Avatar Alterations Can Induce Avoidance Behaviors to Virtual Dangers [J].
Cheymol, Antonin ;
Fribourg, Rebecca ;
Lecuyer, Anatole ;
Normand, Jean-Marie ;
Argelaguet, Ferran .
2024 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, ISMAR 2024, 2024, :91-100
[14]  
Chheang Vuthea., 2024, 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, P21, DOI DOI 10.1109/AIXVR59861.2024.00011
[15]   Early Prediction of Cybersickness in Virtual Reality Using a Large Language Model for Multimodal Time Series Data [J].
Choi, Yoonseon ;
Jeong, Dayoung ;
Kim, Bogoan ;
Han, Kyungsik .
COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024, 2024, :25-29
[16]   Inclusive AR/VR: accessibility barriers for immersive technologies [J].
Creed, Chris ;
Al-Kalbani, Maadh ;
Theil, Arthur ;
Sarcar, Sayan ;
Williams, Ian .
UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2024, 23 (01) :59-73
[17]  
Dahoud A. A, 2023, PREPRINT
[18]   Designing Co-Creative AI for Virtual Environments [J].
Davis, Josh Urban ;
Anderson, Fraser ;
Stroetzel, Merten ;
Grossman, Tovi ;
Fitzmaurice, George .
C&C'21: PROCEEDINGS OF THE 13TH CONFERENCE ON CREATIVITY AND COGNITION, 2021,
[19]   LLMR: Real-time Prompting of Interactive Worlds using Large Language Models [J].
De la Torre, Fernanda ;
Fang, Cathy Mengying ;
Huang, Han ;
Banburski-Fahey, Andrzej ;
Fernandez, Judith Amores ;
Lanier, Jaron .
PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024), 2024,
[20]   Virtual Reality Solutions Employing Artificial Intelligence Methods: A Systematic Literature Review [J].
de Oliveira, Taina Ribeiro ;
Rodrigues, Brenda Biancardi ;
da Silva, Matheus Moura ;
Spinasse, Rafael Antonio N. ;
Ludke, Gabriel Giesen ;
Soares Gaudio, Mateus Ruy ;
Rocha Gomes, Guilherme Iglesias ;
Cotini, Luan Guio ;
Vargens, Daniel da Silva ;
Schimidt, Marcelo Queiroz ;
Andreao, Rodrigo Varejao ;
Mestria, Mario .
ACM COMPUTING SURVEYS, 2023, 55 (10)