ABSTRACT. We draw on a substantial body of theoretical and empirical research on workplace collaboration software, synthetic training data, and employee engagement analytics. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2023, with search terms including “generative artificial intelligence-based virtual human resource management” + “immersive remote collaboration and workplace tracking systems,” “mobile biometric and sentiment data,” and “algorithmic monitoring and wearable augmented reality technologies.” As we analyzed research published in 2023, only 170 papers met the eligibility criteria, and 52 mainly empirical sources were selected. ATLAS.ti was used in conducting a systematic review of the literature. 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: immersive remote collaboration; workplace tracking system; mobile biometric and sentiment data; algorithmic monitoring; wearable augmented reality; generative artificial intelligence; virtual human resource management

How to cite: Krastev, V., Koyundzhiyska-Davidkova, B., and Buckley, S. (2023). “Immersive Remote Collaboration and Workplace Tracking Systems, Mobile Biometric and Sentiment Data, and Algorithmic Monitoring and Wearable Augmented Reality Technologies in Generative Artificial Intelligence-based Virtual Human Resource Management,” Contemporary Readings in Law and Social Justice 15(2): 26–45. doi: 10.22381/CRLSJ15220232.

Received 22 June 2023 • Received in revised form 25 November 2023
Accepted 28 November 2023 • Available online 30 November 2023