Immersive Remote Collaboration and Workplace Tracking Systems, Mobile Biometric and Sentiment Data, and Algorithmic Monitoring and Wearable Augmented Reality Technologies in Generative Artificial Intelligence-based Virtual Human Resource Management Cover Image
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Immersive Remote Collaboration and Workplace Tracking Systems, Mobile Biometric and Sentiment Data, and Algorithmic Monitoring and Wearable Augmented Reality Technologies in Generative Artificial Intelligence-based Virtual Human Resource Management
Immersive Remote Collaboration and Workplace Tracking Systems, Mobile Biometric and Sentiment Data, and Algorithmic Monitoring and Wearable Augmented Reality Technologies in Generative Artificial Intelligence-based Virtual Human Resource Management

Author(s): Vladislav Krastev, Blagovesta Koyundzhiyska-Davidkova, Susan Buckley
Subject(s): Information Architecture, Labor relations, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: immersive remote collaboration; workplace tracking system; mobile biometric and sentiment data; algorithmic monitoring; wearable augmented reality; generative artificial intelligence;

Summary/Abstract: We draw on a substantial body of theoretical and empirical research on workplace collaboration software, synthetic training data, and employee engagement analytics. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2023, with search terms including “generative artificial intelligence-based virtual human resource management” + “immersive remote collaboration and workplace tracking systems,” “mobile biometric and sentiment data,” and “algorithmic monitoring and wearable augmented reality technologies.” As we analyzed research published in 2023, only 170 papers met the eligibility criteria, and 52 mainly empirical sources were selected. ATLAS.ti was used in conducting a systematic review of the literature. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.

  • Issue Year: 15/2023
  • Issue No: 2
  • Page Range: 26-45
  • Page Count: 20
  • Language: English