Spatial Data Mining and Image Processing Computational Algorithms, Generative Artificial Intelligence and Multi-Sensory Augmented Reality Systems, and Productivity Software and Emotional State Prediction Tools in Virtual Work Settings

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F23%3A00002752" target="_blank" >RIV/75081431:_____/23:00002752 - isvavai.cz</a>

Výsledek na webu

<a href="https://addletonacademicpublishers.com/contents-am/2700-volume-22-2023/4568-spatial-data-mining-and-image-processing-computational-algorithms-generative-artificial-intelligence-and-multi-sensory-augmented-reality-systems-and-productivity-software-and-emo" target="_blank" >https://addletonacademicpublishers.com/contents-am/2700-volume-22-2023/4568-spatial-data-mining-and-image-processing-computational-algorithms-generative-artificial-intelligence-and-multi-sensory-augmented-reality-systems-and-productivity-software-and-emo</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Spatial Data Mining and Image Processing Computational Algorithms, Generative Artificial Intelligence and Multi-Sensory Augmented Reality Systems, and Productivity Software and Emotional State Prediction Tools in Virtual Work Settings

Popis výsledku v původním jazyce

The purpose of this study is to examine generative artificial intelligence and spatial data mining algorithms transforming employment, tasks, and jobs, enabling staff reskilling, and optimizing promotion operations in virtual work environments. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and multi-sensory augmented reality systems” + “spatial data mining and image processing computational algorithms,” “productivity software and emotional state prediction tools,” and “virtual work settings.” As research published in 2023 was inspected, only 171 articles satisfied the eligibility criteria, and 49 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.

Název v anglickém jazyce

Spatial Data Mining and Image Processing Computational Algorithms, Generative Artificial Intelligence and Multi-Sensory Augmented Reality Systems, and Productivity Software and Emotional State Prediction Tools in Virtual Work Settings

Popis výsledku anglicky

The purpose of this study is to examine generative artificial intelligence and spatial data mining algorithms transforming employment, tasks, and jobs, enabling staff reskilling, and optimizing promotion operations in virtual work environments. Throughout August 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence and multi-sensory augmented reality systems” + “spatial data mining and image processing computational algorithms,” “productivity software and emotional state prediction tools,” and “virtual work settings.” As research published in 2023 was inspected, only 171 articles satisfied the eligibility criteria, and 49 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.

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

Analysis and Metaphysics

ISSN

1584-8574

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

159-177

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85183920646