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Navigating the metaverse: A technical review of emerging virtual worlds.

Authors :
Herath, H. M. K. K. M. B.
Mittal, Mamta
Kataria, Aman
Source :
WIREs: Data Mining & Knowledge Discovery. Jul2024, Vol. 14 Issue 4, p1-41. 41p.
Publication Year :
2024

Abstract

The metaverse, a burgeoning virtual reality realm, has garnered substantial attention owing to its multifaceted applications. Rapid advancements and widespread acceptance of metaverse technologies have birthed a dynamic and intricate digital landscape. As various platforms, virtual worlds, and social networks within the metaverse increase, there is a growing imperative for a comprehensive analysis of its implications across societal, technological, and business dimensions. Notably, existing review studies have, for the past decade, primarily overlooked a metaverse‐based multidomain approach. A meticulous examination encompassing 207 research studies delves into the technological innovation of the metaverse, elucidating its future trajectory and ethical imperatives. Additionally, the article introduces the term "MetaWarria" to conceptualize potential conflicts arising from metaverse dynamics. The study discerns that healthcare (45%) and education (22%) are pivotal sectors steering metaverse developments, while the entertainment sector (9%) reshapes the corporate landscape. Artificial intelligence (AI) plays a 9% role in enhancing the metaverse's marketing and user experience. Security, privacy, and policy concerns (11%) are addressed due to escalating threats, yielding practical solutions. The analysis underscores the metaverse's profound influence (57%) on the digital realm, a phenomenon accelerated by the COVID‐19 pandemic. The article culminates in contemplating the metaverse's role in future warfare and national security, introducing "MetaWarria" as a conceptual framework for such discussions. This article is categorized under:Application Areas > Health CareApplication Areas > Science and TechnologyFundamental Concepts of Data and Knowledge > Human Centricity and User Interaction [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19424787
Volume :
14
Issue :
4
Database :
Academic Search Index
Journal :
WIREs: Data Mining & Knowledge Discovery
Publication Type :
Academic Journal
Accession number :
178396468
Full Text :
https://doi.org/10.1002/widm.1538