ABSTRACT. This paper draws on a substantial body of theoretical and empirical research on generative artificial intelligence and behavior tracking tools articulating employee expectations and productivity, job mismatches, losses, and transitions, and flexible work arrangements. With increasing evidence of generative artificial intelligence and remote collaboration tools leading to productive workplace, streamlining operational workflows, and enhancing knowledge acquisition, there is an essential demand for comprehending whether generative artificial intelligence and virtual navigation tools can complete job tasks, increase labor productivity, shape organizational retention, and redefine employment, tasks, and jobs. 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 virtual reality immersive training tools” + “algorithmic monitoring and cognitive computing systems,” “voice and gesture recognition technologies,” and “virtual immersive workspaces.” As research published in 2023 was inspected, only 166 articles satisfied the eligibility criteria, and 50 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; virtual reality immersive training tools; algorithmic monitoring; cognitive computing systems; voice and gesture recognition technologies; virtual immersive workspaces

How to cite: Bratu, S. (2023). “Generative Artificial Intelligence and Virtual Reality Immersive Training Tools, Algorithmic Monitoring and Cognitive Computing Systems, and Voice and Gesture Recognition Technologies in Virtual Immersive Workspaces,” Analysis and Metaphysics 22: 197–215. doi: 10.22381/am22202311.

Received 23 September 2023 • Received in revised form 24 December 2023
Accepted 28 December 2023 • Available online 30 December 2023