J 2022

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

MAJEROVÁ, Jana a Aurel PERA

Základní 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.