Synergy between the Metaverse and AI: A Study on the Intelligent Design, Interaction Logic, and Commercial Value of Brand Virtual Avatars
Cao Jin
Artificial Intelligence and Digital Technology, 2025, vol. 2, issue 1, 56-62
Abstract:
With the rapid rise of the metaverse and the accelerated development of artificial intelligence (AI) technologies, the deep integration and synergistic advancement of these two cutting-edge fields are creating unprecedented opportunities and challenges for the design of brand virtual avatars. Within the context of the digital economy, this study systematically investigates an intelligent design paradigm for brand virtual avatars that leverages the synergy between the metaverse and AI. It provides an in-depth analysis of technical implementation pathways, strategies for optimizing interactive user experiences, and mechanisms for generating commercial value. By integrating an interdisciplinary theoretical framework and conducting comparative analyses of exemplary domestic and international cases, this study elucidates the evolutionary trends in virtual avatar design amid technological convergence. Furthermore, it aims to establish a comprehensive theoretical and practical methodology that enables brands to strategically harness virtual avatars in the era of digital transformation, thereby enhancing both brand communication and user experience.
Keywords: metaverse; artificial intelligence; brand virtual avatar design; commercial value (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://soapubs.com/index.php/aidt/article/view/705/692 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:axf:aidtaa:v:2:y:2025:i:1:p:56-62
Access Statistics for this article
More articles in Artificial Intelligence and Digital Technology from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().