Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments
Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments

Summary/Abstract: We draw on a substantial body of theoretical and empirical research on metaverse and digital twin technologies, machine learning and image processing computational algorithms, and geospatial analytics and simulation modeling tools. In this research, prior findings were cumulated indicating that simulation modeling and computational intelligence tools, sentiment analytics, and metaverse assets and services enable interactive virtual and extended reality environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2023, with search terms including “interactive virtual and extended reality environments” + “metaverse and digital twin technologies,” “machine learning and image processing computational algorithms,” and “geospatial analytics and simulation modeling tools.” As we analyzed research published in 2022 and 2023, only 188 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 34, chiefly 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, ROBIS, and SRDR.

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