Generative Artificial Intelligence and Voice and Gesture Recognition Technologies, Virtual Team Movement and Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Generative Artificial Intelligence and Voice and Gesture Recognition Technologies, Virtual Team Movement and Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Generative Artificial Intelligence and Voice and Gesture Recognition Technologies, Virtual Team Movement and Behavior Tracking, and Haptic and Biometric Sensors in Virtual Immersive Workspaces

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Contemporary Readings in Law and Social Justice

ISSN

1948-9137

e-ISSN

2162-2752

Svazek periodika

15

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

160-178

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85180920423