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Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis.

Authors :
Fadhel, Mohammed A.
Duhaim, Ali M.
Albahri, A. S.
Al-Qaysi, Z. T.
Aktham, M. A.
Chyad, M. A.
Abd-Alaziz, Wael
Albahri, O. S.
Alamoodi, A.H.
Alzubaidi, Laith
Gupta, Ashish
Gu, Yuantong
Source :
Artificial Intelligence Review; Oct2024, Vol. 57 Issue 10, p1-58, 58p
Publication Year :
2024

Abstract

In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive digital world—this study delves into the pivotal role of AI in shaping its functionalities and elevating user engagement. Focused on recent advancements, prevailing challenges, and potential future developments, our research draws from a comprehensive analysis grounded in meticulous methodology. The study, informed by credible sources including SD, Scopus, IEEE, and WoS, encompasses 846 retrieved studies. Through a rigorous selection process, 54 research papers were identified as relevant, forming the basis for a specific taxonomy of AI in the Metaverse. Our examination spans diverse dimensions of the Metaverse, encompassing augmented reality, virtual reality, mixed reality, Blockchain, Agent Systems, Intelligent NPCs, Societal and Educational Impact, HCI and Systems Design, and Technical Aspects. Emphasizing the necessity of adopting trustworthy AI in the Metaverse, our findings underscore its potential to enhance user experience, safeguard privacy, and promote responsible technology use. This paper not only sheds light on the scholarly interest in the Metaverse but also explores its impact on human behavior, education, societal norms, and community dynamics. Serving as a foundation for future development and responsible implementation of the Metaverse concept, our research identifies and addresses seven open issues, providing indispensable insights for subsequent studies on the integration of AI in the Metaverse. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02692821
Volume :
57
Issue :
10
Database :
Complementary Index
Journal :
Artificial Intelligence Review
Publication Type :
Academic Journal
Accession number :
179257954
Full Text :
https://doi.org/10.1007/s10462-024-10881-5