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. |
Other formats:
BibTeX
LaTeX
RIS
@article{65881, author = {Zvariková, Katarina and Machová, Veronika and Nica, Elvira}, article_location = {New York, USA}, article_number = {neuvedeno}, keywords = {ambient sound recognition software; immersive visualization systems; machine learning-based product recognition tools; metaverse interactive environment; shopper engagement technologies; spatial computing technology}, language = {eng}, issn = {1841-5261}, journal = {Review of Contemporary Philosophy}, title = {Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce}, url = {https://test.addletonacademicpublishers.com/search-in-rcp/2149-volume-21-2022/4310-cognitive-artificial-intelligence-algorithms-movement-and-behavior-tracking-tools-and-customer-identification-technology-in-the-metaverse-commerce}, volume = {21}, year = {2022} }
TY - JOUR ID - 65881 AU - Zvariková, Katarina - Machová, Veronika - Nica, Elvira PY - 2022 TI - Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce JF - Review of Contemporary Philosophy VL - 21 IS - neuvedeno SP - 171-187 EP - 171-187 PB - Addleton Academic Publishers SN - 18415261 KW - ambient sound recognition software KW - immersive visualization systems KW - machine learning-based product recognition tools KW - metaverse interactive environment KW - shopper engagement technologies KW - spatial computing technology UR - https://test.addletonacademicpublishers.com/search-in-rcp/2149-volume-21-2022/4310-cognitive-artificial-intelligence-algorithms-movement-and-behavior-tracking-tools-and-customer-identification-technology-in-the-metaverse-commerce N2 - 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. ER -
ZVARIKOVÁ, Katarina, Veronika MACHOVÁ and Elvira NICA. Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce. \textit{Review of Contemporary Philosophy}. New York, USA: Addleton Academic Publishers, vol.~21, neuvedeno, p.~171-187. ISSN~1841-5261. 2022.
|