ABSTRACT. The aim of this systematic review is to synthesize and analyze virtual modeling and simulation tools, computer vision and data fusion algorithms, and metaverse assets and services. In this research, prior findings were cumulated indicating that spatial computing and immersive 3D technologies, big geospatial data analytics, and virtual navigation and data acquisition tools optimize interactive virtual environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2023, with search terms including “the metaverse interactive environment” + “synthetic data and image processing tools,” “immersive 3D and digital contact tracing technologies,” and “cognitive artificial intelligence and spatial computing algorithms.” As we analyzed research published in 2022 and 2023, only 177 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 30, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR.

Keywords: synthetic data; image processing tools; immersive 3D; digital contact tracing technologies; cognitive artificial intelligence; spatial computing algorithms; metaverse interactive environment

How to cite: Kucera, J., Novak Sedlackova, A., and Voumik, L. C. (2023). “Synthetic Data and Image Processing Tools, Immersive 3D and Digital Contact Tracing Technologies, and Cognitive Artificial Intelligence and Spatial Computing Algorithms in the Metaverse Inter- active Environment,” Review of Contemporary Philosophy 21: 85–101. doi: 10.22381/ RCP2220235.

Received 26 June 2023 • Received in revised form 22 August 2023
Accepted 27 August 2023 • Available online 30 August 2023