Virtual Modeling and Visual Computing Technologies, Internet of Things-based Decision Support and Remote Sensing Systems, and Context Awareness and Spatio-Temporal Fusion Algorithms
in the Immersive Industrial Metaverse
Virtual Modeling and Visual Computing Technologies, Internet of Things-based Decision Support and Remote Sensing Systems, and Context Awareness and Spatio-Temporal Fusion Algorithms
in the Immersive Industrial Metaverse
Author(s): Charles Goodman, Ruxandra-Ștefania Geambazi, Mihai ConstantinescuSubject(s): Business Economy / Management, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: virtual modeling; image-based visual computing technologies; Internet of Things-based decision support; remote sensing systems; context awareness and spatio-temporal fusion algorithms;
Summary/Abstract: The present study systematically reviews the existing research on immersive decentralized 3D digital worlds and the industrial metaverse. Throughout August 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the immersive industrial metaverse” + “virtual modeling and image-based visual computing technologies,” “Internet of Things-based decision support and remote sensing systems,” and “context awareness and spatio-temporal fusion algorithms.” As research published in 2022 was inspected, only 151 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 17 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
Journal: Economics, Management, and Financial Markets
- Issue Year: 17/2022
- Issue No: 4
- Page Range: 58-72
- Page Count: 15
- Language: English
- Content File-PDF