Interoperability of the Metaverse: A Digital Ecosystem Perspective Review

• URL: http://arxiv.org/abs/2403.05205v4
• Date: Sat, 15 Jun 2024 12:39:26 GMT
• Title: Interoperability of the Metaverse: A Digital Ecosystem Perspective Review
• Authors: Liang Yang, Shi-Ting Ni, Yuyang Wang, Ao Yu, Jyh-An Lee, Pan Hui,
• Abstract summary: Despite consensus on its critical role, there is a research gap in exploring the impact on the Metaverse. Our study bridges this gap via a systematic review of the literature and content analysis of the Web of Science and Scopus databases. Our study seeks to establish benchmarks for future inquiries, navigating the complex field of Metaverse interoperability studies.
• Score: 14.61639507759895
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: The Metaverse is at the vanguard of the impending digital revolution, with the potential to significantly transform industries and lifestyles. However, in 2023, skepticism surfaced within industrial and academic spheres, raising concerns that excitement may outpace actual technological progress. Interoperability, recognized as a major barrier to the Metaverse's full potential, is central to this debate. CoinMarketCap's report in February 2023 indicated that of over 240 metaverse initiatives, most existed in isolation, underscoring the interoperability challenge. Despite consensus on its critical role, there is a research gap in exploring the impact on the Metaverse, significance, and developmental extent. Our study bridges this gap via a systematic literature review and content analysis of the Web of Science (WoS) and Scopus databases, yielding 74 publications after a rigorous selection process. Interoperability, difficult to define due to varied contexts and lack of standardization, is central to the Metaverse, often seen as a digital ecosystem. Urs Gasser's framework, outlining technological, data, human, and institutional dimensions, systematically addresses interoperability complexities. Incorporating this framework, we dissect the literature for a comprehensive Metaverse interoperability overview. Our study seeks to establish benchmarks for future inquiries, navigating the complex field of Metaverse interoperability studies and contributing to academic advancement.

Related papers

• A Graph Theoretic Approach to Analyze the Developing Metaverse [0.0]
  The developing metaverse can be defined as the transitional period from the current state to, possibly, the advanced metaverse. This paper seeks to model, from a graphical standpoint, some of the structures in the current metaverse and ones that might be key to the developing and advanced metaverses under one umbrella.
  arXiv  Detail & Related papers  (2024-09-14T17:30:50Z)
• Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives [10.16399860867284]
  We present a comprehensive survey of the metaverse, envisioned as a transformative dimension of next-generation Internet technologies. We analyze its architecture by defining key characteristics and requirements, thereby illuminating the nascent reality set to revolutionize digital interactions. We extend our scrutiny to critical technologies integral to the metaverse, including interactive experiences, communication technologies, ubiquitous computing, digital twins, artificial intelligence, and cybersecurity measures.
  arXiv  Detail & Related papers  (2024-05-07T23:49:02Z)
• A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond [84.95530356322621]
  This survey presents a systematic review of the advancements in code intelligence. It covers over 50 representative models and their variants, more than 20 categories of tasks, and an extensive coverage of over 680 related works. Building on our examination of the developmental trajectories, we further investigate the emerging synergies between code intelligence and broader machine intelligence.
  arXiv  Detail & Related papers  (2024-03-21T08:54:56Z)
• Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models [52.24001776263608]
  This comprehensive survey delves into the recent strides in HS moderation. We highlight the burgeoning role of large language models (LLMs) and large multimodal models (LMMs) We identify existing gaps in research, particularly in the context of underrepresented languages and cultures.
  arXiv  Detail & Related papers  (2024-01-30T03:51:44Z)
• Amplification of Addictive New Media Features in the Metaverse [0.0]
  The emergence of the metaverse, envisioned as a hyperreal virtual universe facilitating boundless human interaction, stands to revolutionize our conception of media. This paper aims to dissect the addictive potential of the metaverse due to its immersive and interactive features. It scrutinizes the effects of its recommender systems on creativity and social polarization, and explores potential consequences stemming from the metaverse development.
  arXiv  Detail & Related papers  (2024-01-07T11:50:07Z)
• Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities [68.03971716740823]
  In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users. This survey focuses on the representation and intelligence for the four fundamental system components in ubiquitous Metaverse.
  arXiv  Detail & Related papers  (2023-07-13T11:14:46Z)
• The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions [33.43134322732266]
  The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless. Many disciplines can benefit from the advancement of the Metaverse when accurately developed. Existing surveys on the Metaverse focus only on a specific aspect and discipline of the Metaverse.
  arXiv  Detail & Related papers  (2023-04-18T18:58:14Z)
• Big Data Meets Metaverse: A Survey [58.83882109159864]
  The Metaverse is an emerging technology in the future. It has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR (Augmented Reality), MR (mixed reality)
  arXiv  Detail & Related papers  (2022-10-28T17:22:20Z)
• Vision+X: A Survey on Multimodal Learning in the Light of Data [64.03266872103835]
  multimodal machine learning that incorporates data from various sources has become an increasingly popular research area. We analyze the commonness and uniqueness of each data format mainly ranging from vision, audio, text, and motions. We investigate the existing literature on multimodal learning from both the representation learning and downstream application levels.
  arXiv  Detail & Related papers  (2022-10-05T13:14:57Z)
• A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges [93.06849621984684]
  "The successor to the mobile Internet", the Metaverse has grown in popularity. lite versions of the Metaverse exist today, but they are far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, the Metaverse is difficult to succeed the Internet. We discuss the computation challenges and cloud-edge-end computation framework-driven solutions to realize the Metaverse on resource-constrained edge devices.
  arXiv  Detail & Related papers  (2022-03-10T16:48:51Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.