VALASKOVA, Katarina, Jakub HORÁK and Sofia BRATU. Simulation Modeling and Image Recognition Tools, Spatial Computing Technology, and Behavioral Predictive Analytics in the Metaverse Economy. Review of Contemporary Philosophy. USA: Addleton Academic Publishers, vol. 21, neuvedeno, p. 239-255. ISSN 1841-5261. 2022.
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Basic information
Original name Simulation Modeling and Image Recognition Tools, Spatial Computing Technology, and Behavioral Predictive Analytics in the Metaverse Economy
Authors VALASKOVA, Katarina (guarantor), Jakub HORÁK (203 Czech Republic, belonging to the institution) and Sofia BRATU.
Edition Review of Contemporary Philosophy, 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:_____/22:00002483
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English behavioral algorithms; computer vision algorithms; data visualization and virtual navigation tools; immersive technologies; metaverse economy; operational modeling tools
Tags RIV22, RLZ_PEK, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 3/2/2023 12:08.
Abstract
Based on a thorough literature review, the authors aim to explore shopping paths in immersive connected virtual worlds. In this research, previous findings have been cumulated to show that motion and behavioral tracking tools, spatial computing technologies, and geolocation data are key to digital consumer engagement in virtual retail environments, and we contribute to the literature by arguing that customer personalization tools convey multi-sensory customer experiences and spending patterns in virtual retail stores and immersive virtual stores.
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