ABSTRACT. I draw on a substantial body of theoretical and empirical research on geospatial mapping and immersive 3D technologies, distributed decision and control algorithms, and automated speech recognition and virtual navigation tools. In this research, prior findings were cumulated indicating that spatial computing and remote sensing technologies, real-time data mining and tracking tools, and spatio-temporal fusion and 3D image processing algorithms configure extended reality environments. I carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout December 2022, with search terms including “Web3-powered metaverse worlds” + “haptic and biometric sensor technologies,” “spatial data mining and simulation modeling algorithms,” and “virtual navigation and decision intelligence tools.” As I analyzed research published in 2022 and 2023, only 178 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, I 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.

Keywords: haptic and biometric sensor technologies; spatial data mining and simulation modeling algorithms; virtual navigation and decision intelligence tools; metaverse

How to cite: Goodman, C. (2023). “Haptic and Biometric Sensor Technologies, Spatial Data Mining and Simulation Modeling Algorithms, and Virtual Navigation and Decision Intelligence Tools across Web3-powered Metaverse Worlds,” Linguistic and Philosophical Investigations 22: 26–42. doi: 10.22381/lpi2220232.

Received 21 January 2023 • Received in revised form 23 May 2023
Accepted 29 May 2023 • Available online 30 May 2023

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