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Author:

Chai, Y. (Chai, Y..) | Qian, J. (Qian, J..) | Younas, M. (Younas, M..)

Indexed by:

EI Scopus

Abstract:

Metaverse is a collective term for all economic and social activities in the space where the physical world, digital world, and consciousness world are interactively integrated and mutually empowered. The metaverse is the advanced stage of digital civilization and the future formation of human society. The basis for developing metaverse is general digital technologies such as high-performance network, high-performance storage, high-performance computing, high-performance security, and artificial intelligence. On the basis of the above, the key to developing the metaverse lies in researching core technologies such as digital life technologies, trusted collaborative network technologies, natural interaction technologies, ubiquitous operating system technologies, technologies and methods for computational experiments, and theories and technologies for crowd intelligence science. We should take typical metaverse application scenarios as entry points, such as the key fields of agriculture, industry, service industry, military, social governance, and other economic and social areas, to break through key metaverse technologies and implement pilot demonstration projects of metaverse. Through the demonstration, we can systematically promote the application of metaverse in economy and society from point to line, and continuously iterate and evolve the metaverse technology to advance the metaverse to a higher stage. This paper systematically analyzes the current development status and future directions of metaverse from the concept, key technology, and vision of metaverse, paving the way for the subsequent research of metaverse. © The author(s) 2023.

Keyword:

trusted collaborative network metaverse natural interaction computational experiments crowd intelligence science digital twin ubiquitous operating system

Author Community:

  • [ 1 ] [Chai Y.]Department of Automation, Tsinghua University, Beijing, 100084, China
  • [ 2 ] [Qian J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Younas M.]School of Engineering, Computing & Maths, Oxford Brookes University, Oxford, OX33 1HX, United Kingdom

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Source :

International Journal of Crowd Science

ISSN: 2398-7294

Year: 2023

Issue: 4

Volume: 7

Page: 149-157

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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