2022
Haptic and Biometric Sensor Technologies, Spatio-Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse
MAJEROVÁ, Jana a Aurel PERAZákladní údaje
Originální název
Haptic and Biometric Sensor Technologies, Spatio-Temporal Fusion Algorithms, and Virtual Navigation Tools in the Decentralized and Interconnected Metaverse
Autoři
MAJEROVÁ, Jana a Aurel PERA
Vydání
Review of Contemporary Philosophy, 2022, 1841-5261
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50800 5.8 Media and communications
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Označené pro přenos do RIV
Ano
Organizační jednotka
AMBIS vysoká škola, a.s.
EID Scopus
Klíčová slova anglicky
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
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 29. 11. 2022 11:25, doc. JUDr. Ing. Jana Majerová, Ph.D., MBA
Anotace
V originále
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.