ABSTRACT. The aim of this systematic review is to synthesize and analyze interconnected monitoring devices, interoperable digital avatars, and employee monitoring software. In this research, prior findings were cumulated indicating that generative artificial intelligence and virtual connectivity tools further talent acquisition and management, employee effectiveness and productivity, and virtual team performance and processes. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2023, with search terms including “immersive interconnected 3D worlds” + “image processing computational algorithms,” “multimodal behavioral analytics,” and “generative artificial intelligence and ambient scene detection tools.” As we analyzed research published in 2023, only 168 papers met the eligibility criteria, and 53 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, Distiller SR, ROBIS, and SRDR.

Keywords: image processing computational algorithm; multimodal behavioral analytics; generative artificial intelligence; ambient scene detection tool; immersive interconnected 3D world

How to cite: Poliak, M., Poliakova, A., and Lăzăroiu, G. (2023). “Image Processing Computational Algorithms, Multimodal Behavioral Analytics, and Generative Artificial Intelligence and Ambient Scene Detection Tools in Immersive Interconnected 3D Worlds,” Contemporary Readings in Law and Social Justice 15(2): 103–121. doi: 10.22381/CRLSJ15220236.

Received 22 June 2023 • Received in revised form 20 November 2023
Accepted 25 November 2023 • Available online 30 November 2023