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Simulation Modeling and Image Recognition Tools, Spatial Computing Technology, and Behavioral Predictive Analytics in the Metaverse Economy

Simulation Modeling and Image Recognition Tools, Spatial Computing Technology, and Behavioral... Based on an in-depth survey of the literature, the purpose of the paper is to explore purchase journeys in immersive interconnected virtual worlds. In this research, previous findings were cumulated showing that movement and behavior tracking tools, spatial computing technology, and geolocation data are pivotal in consumer digital engagement across virtual retail environments, and we contribute to the literature by indicating that customer personalization tools articulate multisensory customer experiences and spending habits in virtual retail stores and immersive virtual shopping. Throughout April 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the metaverse economy” + “simulation modeling and image recognition tools,” “spatial computing technology,” and “behavioral predictive analytics.” As research published in 2022 was inspected, only 149 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 28 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: computer vision algorithms; immersive technologies; metaverse economy; operational modeling tools; data visualization and virtual navigation tools; behavioral algorithms http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Contemporary Philosophy Addleton Academic Publishers

Simulation Modeling and Image Recognition Tools, Spatial Computing Technology, and Behavioral Predictive Analytics in the Metaverse Economy

Katarina Valaskova
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

Based on an in-depth survey of the literature, the purpose of the paper is to explore purchase journeys in immersive interconnected virtual worlds. In this research, previous findings were cumulated showing that movement and behavior tracking tools, spatial computing technology, and geolocation data are pivotal in consumer digital engagement across virtual retail environments, and we contribute to the literature by indicating that customer personalization tools articulate multisensory customer experiences and spending habits in virtual retail stores and immersive virtual shopping. Throughout April 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the metaverse economy” + “simulation modeling and image recognition tools,” “spatial computing technology,” and “behavioral predictive analytics.” As research published in 2022 was inspected, only 149 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 28 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: computer vision algorithms; immersive technologies; metaverse economy; operational modeling tools; data visualization and virtual navigation tools; behavioral algorithms

Journal

Review of Contemporary Philosophy – Addleton Academic Publishers

Published: Jan 1, 2022

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