ZVARIKOVÁ, Katarina, Veronika MACHOVÁ and Elvira NICA. Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce. Review of Contemporary Philosophy. New York, USA: Addleton Academic Publishers, vol. 21, neuvedeno, p. 171-187. ISSN 1841-5261. 2022.
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Basic information
Original name Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce
Authors ZVARIKOVÁ, Katarina (guarantor), Veronika MACHOVÁ (203 Czech Republic, belonging to the institution) and Elvira NICA.
Edition Review of Contemporary Philosophy, New York, USA, Addleton Academic Publishers, 2022, 1841-5261.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50200 5.2 Economics and Business
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/22:00002466
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English ambient sound recognition software; immersive visualization systems; machine learning-based product recognition tools; metaverse interactive environment; shopper engagement technologies; spatial computing technology
Tags RIV22, RLZ_PEK, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 29/3/2023 10:03.
Abstract
The authors aim to summarize and analyze biometric authentication functions, metaverse capabilities, and real-time predictive analytics. This research cumulates previous findings that suggest that transaction geolocation data, machine learning-based image recognition tools, and artificial vision systems configure consumer behavior and expectations and optimize purchase paths in virtual marketplaces.
PrintDisplayed: 28/3/2024 12:25