Immersive 3D Technologies, Spatial Computing and Visual Perception Algorithms, and Event Modeling and Forecasting Tools on Blockchain-based Metaverse Platforms Cover Image
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Immersive 3D Technologies, Spatial Computing and Visual Perception Algorithms, and Event Modeling and Forecasting Tools on Blockchain-based Metaverse Platforms
Immersive 3D Technologies, Spatial Computing and Visual Perception Algorithms, and Event Modeling and Forecasting Tools on Blockchain-based Metaverse Platforms

Author(s): Katarína Valášková, Marek Vochozka, George Lăzăroiu
Subject(s): Management and complex organizations
Published by: Addleton Academic Publishers
Keywords: immersive 3D technologies; spatial computing; visual perception; event modeling and forecasting; blockchain; metaverse

Summary/Abstract: This paper provides a systematic literature review of studies investigating consumer behavior data, cyber-physical cognitive systems, and geospatial mapping and dynamic routing technologies. The analysis highlights that 3D modeling and geospatial mapping tools, metaverse assets, and cognitive artificial intelligence algorithms further virtual retail experiences. Throughout May 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “blockchain-based metaverse platforms” + “immersive 3D technologies,” “spatial computing and visual perception algorithms,” and “event modeling and forecasting tools.” As we inspected research published in 2022, only 143 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 30, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.

  • Issue Year: 2022
  • Issue No: 21
  • Page Range: 74-90
  • Page Count: 17
  • Language: English
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