Research on Cultural Transmission in AI-assisted Cultural and Creative Product Design: A Semiotic Perspective

Xin Wu, Jun Dong and Ling Wu

Journal of Social Science Studies, 2025, vol. 12, issue 2, 103

Abstract: With the rapid development of artificial intelligence (AI) technology, the field of cultural and creative product design is undergoing a profound paradigm shift. Based on Peircean semiotic theory, this research establishes an innovative cultural semiotic translation framework to explore the cultural value transmission mechanism in creative product design under AI intervention. The study employs a mixed-methods approach, combining qualitative semiotic analysis with quantitative questionnaire surveys, using the cultural and creative product design of Nanjing Confucius Temple as a case study to examine the impact of AI technology on the production and decoding process of cultural signs. The research finds that AI technology creates a new paradigm of cultural value transmission by reconstructing the relationship between signifiers and signified; in the digital translation process of cultural signs, the integration of traditional cultural elements and modern design language demonstrates multi-dimensional characteristics of cultural cognition, spiritual resonance, and aesthetic integration. This study not only enriches semiotic theory in the digital age but also provides a new methodological perspective for the modern transformation of cultural heritage. It has significant theoretical and practical implications for promoting innovation and development in the cultural and creative industries.

Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.macrothink.org/journal/index.php/jsss/article/download/23211/17970 (application/pdf)
https://www.macrothink.org/journal/index.php/jsss/article/view/23211 (text/html)

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:mth:jsss88:v:12:y:2025:i:2:p:103

Access Statistics for this article

Journal of Social Science Studies is currently edited by John Smith

More articles in Journal of Social Science Studies from Macrothink Institute
Bibliographic data for series maintained by Technical Support Office ( this e-mail address is bad, please contact ).