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Haptic and Biometric Sensor Technologies, Spatio- Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse

Haptic and Biometric Sensor Technologies, Spatio- Temporal Fusion Algorithms, and Virtual... The objective of this paper is to systematically review spatial computing algorithms, synthetic data tools, and customer behavior analytics configuring virtual retail experiences. The findings and analyses highlight that metaverse engagement metrics integrates computer vision algorithms, visual analytics, and cognitive technologies in the digital asset-based virtual economy. Throughout April 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the decentralized and interconnected metaverse” + “haptic and biometric sensor technologies,” “spatiotemporal fusion algorithms,” and “virtual navigation tools.” As research published between 2021 and 2022 was inspected, only 138 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 27 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR. Keywords: customer behavior analytics; metaverse economy; simulation modeling algorithms; virtual mapping and visual surveillance tools; natural language processing and geospatial mapping tools; sensing and computing technologies http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Contemporary Philosophy Addleton Academic Publishers

Haptic and Biometric Sensor Technologies, Spatio- Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse

Jana Majerová
Review of Contemporary Philosophy , Volume 21 (1): 17 – Jan 1, 2022
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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1841-5261
eISSN
2471-089X
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Abstract

The objective of this paper is to systematically review spatial computing algorithms, synthetic data tools, and customer behavior analytics configuring virtual retail experiences. The findings and analyses highlight that metaverse engagement metrics integrates computer vision algorithms, visual analytics, and cognitive technologies in the digital asset-based virtual economy. Throughout April 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the decentralized and interconnected metaverse” + “haptic and biometric sensor technologies,” “spatiotemporal fusion algorithms,” and “virtual navigation tools.” As research published between 2021 and 2022 was inspected, only 138 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 27 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR. Keywords: customer behavior analytics; metaverse economy; simulation modeling algorithms; virtual mapping and visual surveillance tools; natural language processing and geospatial mapping tools; sensing and computing technologies

Journal

Review of Contemporary Philosophy – Addleton Academic Publishers

Published: Jan 1, 2022

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