Virtual Navigation and Digital Twin Simulation Tools, Internet of Things-based Decision Support and Big Data Computing Systems, and Image Recognition and Geolocation Data Processing Algorithms in the Virtual Economy of the Metaverse
Virtual Navigation and Digital Twin Simulation Tools, Internet of Things-based Decision Support and Big Data Computing Systems, and Image Recognition and Geolocation Data Processing Algorithms in the Virtual Economy of the Metaverse

Summary/Abstract: The present study systematically reviews the existing research on virtual immersive and spatial computing technologies, environment perception sensors, and geolocation data mining and tracking. We contribute to the literature by clarifying that Internet of Things-based decision support and big data computing systems, virtual navigation and data mining tools, and spatial computing devices articulate photo-realistic simulation environments. Throughout April 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the virtual economy of the metaverse” + “virtual navigation and digital twin simulation tools,” “Internet of Things-based decision support and big data computing systems,” and “image recognition and geolocation data processing algorithms.” As research published in 2022 and 2023 was inspected, only 178 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 30 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.

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