Wearable Sensor-based and Connected Monitoring Devices in Immersive Interconnected 3D Worlds Cover Image
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Wearable Sensor-based and Connected Monitoring Devices in Immersive Interconnected 3D Worlds
Wearable Sensor-based and Connected Monitoring Devices in Immersive Interconnected 3D Worlds

Author(s): Kriselda Gura, Alice AlAkoum, Mihaela Melenciuc, Susan Henley
Subject(s): Management and complex organizations, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: mobile biometric and sentiment data; generative artificial intelligence; behavior tracking tool; wearable; sensor; connected monitoring devices; immersive;

Summary/Abstract: Despite the relevance of generative artificial intelligence and virtual reality immersive training tools shaping virtual employee engagement, productivity improvements, and long-term talent pipelines, only limited research has been conducted on this topic. The contribution to the literature is by showing that Web3 technology-based immersive remote work experiences can be achieved by use of generative artificial intelligence and mobile analytics algorithms, text mining and analytics, and body-tracking data metrics. 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 behavior tracking tools” + “mobile biometric and sentiment data,” “wearable sensor-based and connected monitoring devices,” and “immersive interconnected 3D worlds.” As research published in 2023 was inspected, only 167 articles satisfied the eligibility criteria, and 51 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, Distiller SR, and MMAT.

  • Issue Year: 2023
  • Issue No: 22
  • Page Range: 255-273
  • Page Count: 19
  • Language: English