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Virtual Navigation and Geospatial Mapping Tools, Customer Data Analytics, and Computer Vision and Simulation Optimization Algorithms in the Blockchain-based Metaverse

Virtual Navigation and Geospatial Mapping Tools, Customer Data Analytics, and Computer Vision and... The purpose of this study is to examine consumer habits and expectations in immersive interconnected virtual worlds. In this article, I cumulate previous research findings indicating that customer behavior analytics shapes immersive digital and metaverse brand experiences in virtual marketplaces. I contribute to the literature on business intelligence operations in extended reality environments and Web3-powered metaverse worlds by showing that customer data analytics is pivotal in immersive virtual experiences across interactive digital worlds. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the blockchain-based metaverse” + “virtual navigation and geospatial mapping tools,” “customer data analytics,” and “computer vision and simulation optimization algorithms.” As I inspected research published in 2022, only 136 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 21, 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, MMAT, and SRDR. Keywords: metaverse interactive environment; shopper behavioral data; customer personalization tools; image recognition technologies; automated speech recognition tools; retail business analytics http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Contemporary Philosophy Addleton Academic Publishers

Virtual Navigation and Geospatial Mapping Tools, Customer Data Analytics, and Computer Vision and Simulation Optimization Algorithms in the Blockchain-based Metaverse

Susan Gordon
Review of Contemporary Philosophy , Volume 21 (1): 16 – Jan 1, 2022
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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1841-5261
eISSN
2471-089X
Publisher site
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Abstract

The purpose of this study is to examine consumer habits and expectations in immersive interconnected virtual worlds. In this article, I cumulate previous research findings indicating that customer behavior analytics shapes immersive digital and metaverse brand experiences in virtual marketplaces. I contribute to the literature on business intelligence operations in extended reality environments and Web3-powered metaverse worlds by showing that customer data analytics is pivotal in immersive virtual experiences across interactive digital worlds. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the blockchain-based metaverse” + “virtual navigation and geospatial mapping tools,” “customer data analytics,” and “computer vision and simulation optimization algorithms.” As I inspected research published in 2022, only 136 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 21, 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, MMAT, and SRDR. Keywords: metaverse interactive environment; shopper behavioral data; customer personalization tools; image recognition technologies; automated speech recognition tools; retail business analytics

Journal

Review of Contemporary Philosophy – Addleton Academic Publishers

Published: Jan 1, 2022

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