Generative Artificial Intelligence and Virtual Recruitment Tools, Wearable Self-Tracking and Augmented Reality Devices, and Multimodal Behavioral Analytics in Virtual Workplaces

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Abstract

In this article, previous research findings were cumulated, indicating that immersive 3D experiences can be achieved by generative artificial intelligence and remote sensing tools, employee performance metrics, and real-time predictive analytics. The contribution to the literature on generative artificial intelligence and movement and behavior tracking tools shaping career development, virtual team-works, and employee expectations and productivity is by showing that immersive interconnected virtual experiences can be achieved by generative artificial intelligence and people analytics tools, realistic movement simulations, and mobile biometric and sentiment data. 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 virtual recruitment tools” + “wearable self-tracking and augmented reality devices,” “multimodal behavioral analytics,” and “virtual workplaces.”As research published in 2023 was inspected, only 169 articles satisfied the eligibility criteria, and 50 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.

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Cug, J., Kubala, P., & Pera, A. (2023). Generative Artificial Intelligence and Virtual Recruitment Tools, Wearable Self-Tracking and Augmented Reality Devices, and Multimodal Behavioral Analytics in Virtual Workplaces. Analysis and Metaphysics, 22. https://doi.org/10.22381/am2220238

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