ABSTRACT. In this article, I cumulate previous research findings indicating that virtual reality and text analytics tools are instrumental in performance metric analysis as regards virtual work, remote workforce, and collaborative remote work. I contribute to the literature on virtual employee training and skill development, workplace technologies, and deep learning computer vision algorithms in the immersive metaverse environment by showing that virtual reality-based recruiting tools integrate sensory immersion, sentiment data, voice biometrics, and cognitive computing systems across 3D digital worlds. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “virtual employee training and skill development,” “workplace technologies,” “deep learning computer vision algorithms,” and “immersive environments.” As I inspected research published in 2022, only 83 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 14, generally empirical, sources. 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.
JEL codes: E24; J21; J54; J64

Keywords: virtual; employee; training; skill; metaverse; immersion

How to cite: Hawkins, M. (2022). “Virtual Employee Training and Skill Development, Workplace Technologies, and Deep Learning Computer Vision Algorithms in the Immersive Metaverse Environment,” Psychosociological Issues in Human Resource Management 10(1): 106–120. doi: 10.22381/pihrm10120228.

Received 28 March 2022 • Received in revised form 25 May 2022
Accepted 28 May 2022 • Available online 30 May 2022

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