Generative Artificial Intelligence and Voice and Gesture Recognition Technologies, Virtual Team Movement and Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002638" target="_blank" >RIV/75081431:_____/23:00002638 - isvavai.cz</a>
Result on the web
<a href="https://addletonacademicpublishers.com/contents-crlsj/2810-volume-15-2-2023/4553-generative-artificial-intelligence-and-voice-and-gesture-recognition-technologies-virtual-team-movement-and-behavior-tracking-and-haptic-and-biometric-sensors-in-virtual-imm" target="_blank" >https://addletonacademicpublishers.com/contents-crlsj/2810-volume-15-2-2023/4553-generative-artificial-intelligence-and-voice-and-gesture-recognition-technologies-virtual-team-movement-and-behavior-tracking-and-haptic-and-biometric-sensors-in-virtual-imm</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Generative Artificial Intelligence and Voice and Gesture Recognition Technologies, Virtual Team Movement and Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Contemporary Readings in Law and Social Justice
ISSN
1948-9137
e-ISSN
2162-2752
Volume of the periodical
15
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
160-178
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85180920423