Constructing a Sustainable Evaluation Framework for AIGC Technology in Yixing Zisha Pottery: Balancing Heritage Preservation and Innovation

• Published in: SUSTAINABILITY
• Main Authors: Pan, Shimin; Anwar, Rusmadiah Bin; Awang, Nor Nazida Binti; He, Yinuo
• Format: Article
• Language: English
• Published: MDPI 2025
• Subjects: Science & Technology - Other Topics; Environmental Sciences & Ecology
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001419456700001

This study develops a sustainable evaluation framework for Yixing Zisha pottery design schemes generated by Artificial Intelligence Generated Content (AIGC) technology, emphasizing the integration of cultural heritage preservation with innovation. As a traditional Chinese craft and a recognized element of intangible cultural heritage (ICH), Yixing Zisha pottery is celebrated for its cultural depth and unique design techniques. Guided by emotional design theory, the framework assesses aesthetic, functional, and emotional dimensions through hierarchical analysis. Using the Delphi method and Analytic Hierarchy Process (AHP), primary and secondary indicators were identified and weighted based on expert consensus. AIGC technology, underpinned by advanced AI algorithms, generates culturally authentic yet innovative design solutions, striking a balance between tradition and modernity. The findings reveal that this approach enhances design diversity, functionality, and efficiency while fostering global cultural awareness. By providing practical guidance for integrating AIGC technology into traditional craftsmanship, the research offers a replicable model for other traditional crafts and contributes to the theoretical advancement of sustainable cultural heritage practices. By bridging the gap between digital innovation and heritage preservation, this study addresses the critical need for sustainable strategies in the creative industries.