ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore generative artificial intelligence and workplace monitoring systems shaping organizational retention, shape talent surplus, and enhance job reallocation mechanisms in immersive extended reality environments. In this research, previous findings were cumulated showing that generative artificial intelligence and simulation modeling software tools can integrate realistic movement simulations, network visual analytics, and physiological and behavioral biometrics. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and workplace monitoring systems” + “emotional state prediction and data visualization tools,” “wearable sensor-based devices,” and “immersive workspaces.” As research published in 2023 was inspected, only 166 articles satisfied the eligibility criteria, and 49 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, Dedoose, Distiller SR, and SRDR.

Keywords: emotional state prediction; data visualization tools; generative artificial intelligence; workplace monitoring systems; wearable sensor-based devices; immersive workspaces

How to cite: Kliestik, T., and Lăzăroiu, G. (2023). “Emotional State Prediction and Data Visualization Tools, Generative Artificial Intelligence and Workplace Monitoring Systems, and Wearable Sensor-based Devices in Immersive Workspaces,” Analysis and Metaphysics 22: 43–61. doi: 10.22381/am2220233.

Received 3 September 2023 • Received in revised form 14 December 2023
Accepted 22 December 2023 • Available online 30 December 2023