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Haptic and Biometric Sensor Technologies, Visual Imagery and Geospatial Mapping Tools, and Cognitive Data Mining Algorithms in the Decentralized and Interconnected Metaverse

Haptic and Biometric Sensor Technologies, Visual Imagery and Geospatial Mapping Tools, and... This paper provides a systematic literature review of studies investigating frictionless customer engagement processes across immersive decentralized networking and virtual environments. The analysis highlights that consumer journey analytics deploys spatial cognition algorithms, deep learning-based sensing technologies, and virtual navigation tools throughout immersive hyper-connected spaces. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “haptic and biometric sensor technologies,” “visual imagery and geospatial mapping tools,” and “cognitive data mining algorithms.” As I inspected research published between 2021 and 2022, only 186 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 32, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: haptic and biometric sensor technologies; visual imagery; geospatial mapping; cognitive data mining; metaverse http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Self-Governance and Management Economics Addleton Academic Publishers

Haptic and Biometric Sensor Technologies, Visual Imagery and Geospatial Mapping Tools, and Cognitive Data Mining Algorithms in the Decentralized and Interconnected Metaverse

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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

This paper provides a systematic literature review of studies investigating frictionless customer engagement processes across immersive decentralized networking and virtual environments. The analysis highlights that consumer journey analytics deploys spatial cognition algorithms, deep learning-based sensing technologies, and virtual navigation tools throughout immersive hyper-connected spaces. Throughout March 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “metaverse” + “haptic and biometric sensor technologies,” “visual imagery and geospatial mapping tools,” and “cognitive data mining algorithms.” As I inspected research published between 2021 and 2022, only 186 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 32, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS. JEL codes: D53; E22; E32; E44; G01; G41 Keywords: haptic and biometric sensor technologies; visual imagery; geospatial mapping; cognitive data mining; metaverse

Journal

Journal of Self-Governance and Management EconomicsAddleton Academic Publishers

Published: Jan 1, 2022

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