ABSTRACT. The objective of this paper is to systematically review spatial computing algorithms, synthetic data tools, and customer behavior analytics configuring virtual retail experiences. The findings and analyses highlight that metaverse engagement metrics integrates computer vision algorithms, visual analytics, and cognitive technologies in the digital asset-based virtual economy. Throughout April 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the decentralized and interconnected metaverse” + “haptic and biometric sensor technologies,” “spatio-temporal fusion algorithms,” and “virtual navigation tools.” As research published between 2021 and 2022 was inspected, only 138 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 27 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.

Keywords: customer behavior analytics; metaverse economy; simulation modeling algorithms; virtual mapping and visual surveillance tools; natural language processing and geospatial mapping tools; sensing and computing technologies

How to cite: Majerová, J., and Pera, A. (2022). “Haptic and Biometric Sensor Technologies, Spatio-Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse,” Review of Contemporary Philosophy 21: 105–121. doi: 10.22381/RCP2120227.

Received 28 May 2022 • Received in revised form 20 August 2022
Accepted 24 August 2022 • Available online 30 August 2022