ABSTRACT. In this article, we cumulate previous research findings indicating that generative artificial intelligence and emotional state prediction tools can increase labor productivity and optimize virtual recruitment through mobile biometric and sentiment data. We contribute to the literature on generative artificial intelligence and algorithmic tracking technologies in 3D immersive spaces by showing that generative artificial intelligence and wearable haptic technologies can assist in virtual communication and collaboration, in ambient scene detection, and in quantifiable employee productivity. Throughout June 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “virtual immersive workspaces” + “generative artificial intelligence and voice and gesture recognition technologies,” “virtual team movement and behavior tracking,” and “haptic and biometric sensors.” As we inspected research published in 2023, only 159 articles satisfied the eligibility criteria, and 52 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, Dedoose, ROBIS, and SRDR.

Keywords: generative artificial intelligence; voice and gesture recognition technologies; virtual team movement and behavior tracking; haptic and biometric sensors; virtual immersive workspaces

How to cite: Vochozka, M., Horak, J., and Morley, N. (2023). “Generative Artificial Intelligence and Voice and Gesture Recognition Technologies, Virtual Team Movement and Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces,” Contemporary Readings in Law and Social Justice 15(2): 160–178. doi: 10.22381/CRLSJ15220239.

Received 25 July 2023 • Received in revised form 26 November 2023
Accepted 28 November 2023 • Available online 30 November 2023