Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces
Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces
Author(s): Marek Vochozka, Jakub Horák, Nancy MorleySubject(s): Labor relations, Social development, Human Resources in Economy, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: generative artificial intelligence; voice and gesture recognition technologies; virtual team movement and behavior tracking; haptic and biometric sensors; virtual immersive workspaces;
Summary/Abstract: In this article, we cumulate previous research findings indicating that generative artificial intelligence and emotional state prediction tools can increase labor productivity and optimize virtual recruitment through mobile biometric and sentiment data. We contribute to the literature on generative artificial intelligence and algorithmic tracking technologies in 3D immersive spaces by showing that generative artificial intelligence and wearable haptic technologies can assist in virtual communication and collaboration, in ambient scene detection, and in quantifiable employee productivity. Throughout June 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “virtual immersive workspaces” + “generative artificial intelligence and voice and gesture recognition technologies,” “virtual team movement and behavior tracking,” and “haptic and biometric sensors.” As we inspected research published in 2023, only 159 articles satisfied the eligibility criteria, and 52 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.
Journal: Contemporary Readings in Law and Social Justice
- Issue Year: 15/2023
- Issue No: 2
- Page Range: 160-178
- Page Count: 19
- Language: English
- Content File-PDF