Groundbreaking taxonomy of metaverse characteristics

IF 13.9 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Abolghasem Sadeghi-Niaraki, Fatema Rahimi, Nur Alya Emanuelle Binti Azlan, Houbing Song, Farman Ali, Soo-Mi Choi
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Abstract

The Metaverse, a dynamic and immersive virtual realm, has captured the imagination of researchers and enthusiasts worldwide. This survey paper aims to introduce a groundbreaking taxonomy for the characteristics of the Metaverse offering a structured and adaptable framework that extends beyond existing categorizations by incorporating dynamic transformations. Unlike prior taxonomies, which often focus on fixed attributes, our approach emphasizes the dynamic evolution of Metaverse characteristics. Through an extensive review of published literature, this study explores key technological, social, economic, and ethical dimensions of the Metaverse. It introduces a process-oriented classification based on 23 distinct characteristics, including immersification, spatiotemporalification, interactification, persistentification, presentification, personification, unification, imaginification, economification, uncertaintification, and credification. By mapping these evolving aspects, we provide a structured and future-proof foundation for understanding the Metaverse’s continuous development. This survey establishes a new standard for comprehensiveness and innovation, shedding light on the diverse facets that have been explored in literature. Through this novel taxonomy, we provide a detailed map of the current landscape and offer insights that pave the way for future research and development in this burgeoning digital frontier.

开创性的元宇宙特征分类学
虚拟世界(Metaverse)是一个动态的沉浸式虚拟世界,吸引了全世界研究人员和爱好者的想象力。这篇调查论文旨在介绍一种突破性的元宇宙特征分类法,它提供了一个结构化的、可适应的框架,通过合并动态转换扩展了现有的分类。与以前的分类法(通常关注固定属性)不同,我们的方法强调Metaverse特征的动态演变。通过对已发表文献的广泛回顾,本研究探索了虚拟世界的关键技术、社会、经济和伦理维度。它介绍了基于23个不同特征的过程导向分类,包括沉浸性、时空化、互动性、持久性、呈现性、人格化、统一性、想象性、经济化、不确定性和可信性。通过映射这些不断发展的方面,我们为理解Metaverse的持续发展提供了一个结构化的、面向未来的基础。这一调查建立了综合性和创新性的新标准,揭示了文学探索的不同方面。通过这种新颖的分类,我们提供了当前景观的详细地图,并提供见解,为这个新兴的数字前沿的未来研究和开发铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artificial Intelligence Review
Artificial Intelligence Review 工程技术-计算机:人工智能
CiteScore
22.00
自引率
3.30%
发文量
194
审稿时长
5.3 months
期刊介绍: Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.
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