ABSTRACT. This paper draws on a substantial body of theoretical and empirical research on generative artificial intelligence and spatial data mining algorithms enabling virtual employee engagement, human capital development, and cognitive analytics management. A quantitative literature review of ProQuest, Scopus, and the Web of Science was carried out throughout August 2023, with search terms including “generative artificial intelligence and haptic and biometric sensor technologies” + “spatial data mining and image processing computational algorithms,” “virtual team performance and behavior tracking tools,” and “immersive extended reality environments.” As research published in 2023 was inspected, only 170 articles satisfied the eligibility criteria, and 53 mainly empirical sources were selected. 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: generative artificial intelligence; haptic and biometric sensor technologies; spatial data mining; image processing computational algorithms; virtual team performance; behavior tracking tools; immersive

How to cite: Grupac, M., Miklencicova, R., Barker, M., and Voumik, L. C. (2023). “Generative Artificial Intelligence and Haptic and Biometric Sensor Technologies, Spatial Data Mining and Image Processing Computational Algorithms, and Virtual Team Performance and Behavior Tracking Tools in Immersive Extended Reality Environments,” Analysis and Metaphysics 22: 81–100. doi: 10.22381/am2220235.

Received 13 September 2023 • Received in revised form 17 December 2023
Accepted 22 December 2023 • Available online 30 December 2023