ABSTRACT. In this article, previous research findings were cumulated, indicating that generative artificial intelligence and extensive vision data processing tools can assist in quantifiable employee productivity, in shifting employment needs, and in virtual recruitment practices. Throughout July 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and contextual awareness tools” + “cognitive computing and workplace monitoring systems,” “multi-sensory augmented reality and spatial data mining algorithms,” and “multi-organizational collaborative environments.” As research published in 2023 was inspected, only 182 articles satisfied the eligibility criteria, and 66 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: cognitive computing; workplace monitoring systems; generative artificial intelligence; contextual awareness tools; multi-sensory augmented reality; spatial data mining algorithms

How to cite: Frajtova Michalikova, K., Frajt, T., Popescu, G. H., and Rashid, M. (2023). “Cognitive Computing and Workplace Monitoring Systems, Generative Artificial Intelligence and Contextual Awareness Tools, and Multi-Sensory Augmented Reality and Spatial Data Mining Algorithms in Multi-Organizational Collaborative Environments,” Analysis and Metaphysics 22: 101–120. doi: 10.22381/am2220236.

Received 14 August 2023 • Received in revised form 18 December 2023
Accepted 26 December 2023 • Available online 30 December 2023