Spatial Data Mining and Image Processing Computational Algorithms, Generative Artificial Intelligence and Multi-Sensory Augmented Reality Systems, and Productivity Software and Emotional State Prediction Tools in Virtual Work Settings
Spatial Data Mining and Image Processing Computational Algorithms, Generative Artificial Intelligence and Multi-Sensory Augmented Reality Systems, and Productivity Software and Emotional State Prediction Tools in Virtual Work Settings

Summary/Abstract: The purpose of this study is to examine generative artificial intelligence and spatial data mining algorithms transforming employment, tasks, and jobs, enabling staff reskilling, and optimizing promotion operations in virtual work environments. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and multi-sensory augmented reality systems” + “spatial data mining and image processing computational algorithms,” “productivity software and emotional state prediction tools,” and “virtual work settings.” As research published in 2023 was inspected, only 171 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, Dedoose, MMAT, and SRDR.

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