Employee Engagement Analytics, Generative Artificial Intelligence and Task Automation Tools, and Computer-based Teamwork Simulations in Immersive Multisensory Virtual Spaces

10Citations
Citations of this article
35Readers
Mendeley users who have this article in their library.

Abstract

The purpose of this study is to examine multimodal behavioral analytics, holographic display devices, and virtual reality-based job training. In this article, we cumulate previous research findings indicating that generative artificial intelligence and remote sensing tools can integrate employee performance metrics, interconnected monitoring devices, and movement tracking sensors. Throughout June 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “immersive multisensory virtual spaces” + “employee engagement analytics,” “generative artificial intelligence and task automation tools,” and “computer-based teamwork simulations.” As we inspected research published in 2023, only 164 articles satisfied the eligibility criteria, and 53 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.

Cite

CITATION STYLE

APA

Nica, E., Alpopi, C., Drugău Constantin, A. L., & Melenciuc, M. (2023). Employee Engagement Analytics, Generative Artificial Intelligence and Task Automation Tools, and Computer-based Teamwork Simulations in Immersive Multisensory Virtual Spaces. Contemporary Readings in Law and Social Justice, 15(2), 46–64. https://doi.org/10.22381/CRLSJ15220233

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free