2022
Haptic and Biometric Sensor Technologies, Spatio-Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse
MAJEROVÁ, Jana and Aurel PERABasic information
Original name
Haptic and Biometric Sensor Technologies, Spatio-Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse
Authors
MAJEROVÁ, Jana and Aurel PERA
Edition
Review of Contemporary Philosophy, 2022, 1841-5261
Other information
Language
English
Type of outcome
Article in a journal
Field of Study
50800 5.8 Media and communications
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Marked to be transferred to RIV
Yes
Organization unit
Ambis University
EID Scopus
Keywords in English
customer behavior analytics; metaverse economy; natural language processing and geospatial mapping tools; sensing and computing technologies; simulation modeling algorithms; virtual mapping and visual surveillance tools
Tags
Tags
International impact, Reviewed
Changed: 29/11/2022 11:25, doc. JUDr. Ing. Jana Majerová, Ph.D., MBA
Abstract
In the original language
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,” “spatio-temporal 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.