ABSTRACT. This article reviews and advances existing literature concerning wearable sensor-based devices, mobile biometric and sentiment data, and workplace collaboration software. In this research, previous findings were cumulated showing that generative artificial intelligence and emotion recognition tools can streamline operational workflows, forecast job displacement, and shape talent surplus, leading to productive workplace in immersive work environments. Throughout May 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “immersive digital and virtual office spaces” + “employee monitoring software,” “wearable sensor-based devices,” and “generative artificial intelligence and virtual communication and collaboration tools.” 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: AXIS, MMAT, ROBIS, and SRDR.

Keywords: employee monitoring software; wearable sensor-based device; generative artificial intelligence; virtual communication and collaboration tools; immersive digital and virtual office space

How to cite: Kubala, P., Dengov, V. V., and Beckett, S. (2023). “Employee Monitoring Software, Wearable Sensor-based Devices, and Generative Artificial Intelligence and Virtual Communication and Collaboration Tools in Immersive Digital and Virtual Office Spaces,” Contemporary Readings in Law and Social Justice 15(2): 65–83. doi: 10.22381/CRLSJ15220234.

Received 20 June 2023 • Received in revised form 24 November 2023
Accepted 27 November 2023 • Available online 30 November 2023