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Cognitive Artificial Intelligence and Predictive Modeling Algorithms, Virtual Navigation and Geospatial Mapping Tools, and Remote Sensing Data Fusion Techniques in the Immersive Metaverse Environment

Cognitive Artificial Intelligence and Predictive Modeling Algorithms, Virtual Navigation and... In this article, I cumulate previous research findings indicating that shopper engagement technologies and data visualization tools enable immersive 3D experiences across user-generated digital virtual environments. I contribute to the literature on metaverse purchase experiences achieved through augmented reality shopping tools and predictive and retail analytics by showing that customer experience analytics leverages deep learning artificial intelligence tools and metaverse technologies across virtual economy. Throughout April 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “cognitive artificial intelligence and predictive modeling algorithms,” “virtual navigation and geospatial mapping tools,” and “remote sensing data fusion techniques.” As I inspected research published between 2021 and 2022, only 194 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 38, generally empirical, sources. 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. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: cognitive artificial intelligence; predictive modeling; virtual navigation; geospatial mapping; remote sensing data fusion; metaverse http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Cognitive Artificial Intelligence and Predictive Modeling Algorithms, Virtual Navigation and Geospatial Mapping Tools, and Remote Sensing Data Fusion Techniques in the Immersive Metaverse Environment

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
2329-4175
eISSN
2377-0996
Publisher site
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Abstract

In this article, I cumulate previous research findings indicating that shopper engagement technologies and data visualization tools enable immersive 3D experiences across user-generated digital virtual environments. I contribute to the literature on metaverse purchase experiences achieved through augmented reality shopping tools and predictive and retail analytics by showing that customer experience analytics leverages deep learning artificial intelligence tools and metaverse technologies across virtual economy. Throughout April 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “cognitive artificial intelligence and predictive modeling algorithms,” “virtual navigation and geospatial mapping tools,” and “remote sensing data fusion techniques.” As I inspected research published between 2021 and 2022, only 194 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 38, generally empirical, sources. 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. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: cognitive artificial intelligence; predictive modeling; virtual navigation; geospatial mapping; remote sensing data fusion; metaverse

Journal

Journal of Self-Governance and Management Economics – Addleton Academic Publishers

Published: Jan 1, 2022

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