ABSTRACT. This paper provides a systematic literature review of studies investigating frictionless customer engagement processes across immersive decentralized networking and virtual environments. The analysis highlights that consumer journey analytics deploys spatial cognition algorithms, deep learning-based sensing technologies, and virtual navigation tools throughout immersive hyper-connected spaces. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “haptic and biometric sensor technologies,” “visual imagery and geospatial mapping tools,” and “cognitive data mining algorithms.” As I inspected research published between 2021 and 2022, only 186 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 32, generally 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, MMAT, and ROBIS.
JEL codes: D53; E22; E32; E44; G01; G41
Keywords: haptic and biometric sensor technologies; visual imagery; geospatial mapping; cognitive data mining; metaverse
How to cite: Barnes, R. (2022). “Haptic and Biometric Sensor Technologies, Visual Imagery and Geospatial Mapping Tools, and Cognitive Data Mining Algorithms in the Decentralized and Interconnected Metaverse,” Journal of Self-Governance and Management Economics 10(3): 73–88. doi: 10.22381/jsme10320225.
Received 27 April 2022 • Received in revised form 23 September 2022
Accepted 26 September 2022 • Available online 30 September 2022