Artificial Intelligence-Driven Interactive Experience for Intangible Cultural Heritage: Sustainable Innovation of Blue Clamp-Resist Dyeing

Yidan Wang and Yixuan Zhou ()
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Yidan Wang: College of Design and Innovation, Zhejiang Normal University, Jinhua 321004, China
Yixuan Zhou: College of Design and Innovation, Zhejiang Normal University, Jinhua 321004, China

Sustainability, 2025, vol. 17, issue 3, 1-18

Abstract: The sustainable development of intangible cultural heritage (ICH) faces multiple challenges, including societal structural transformations, intergenerational transmission gaps, and the loss of cultural memory. The rapid advancement of generative artificial intelligence (AI) technologies offers new possibilities for the digital preservation and innovation of ICH. This study leverages generative AI to develop a LoRA model embodying the Blue Clamp-Resist Dyeing style, enabling the digital preservation and innovative reinterpretation of traditional patterns. Additionally, the study integrates these technological achievements into an interactive experience project at the Wenzhou Blue Clamp-Resist Dyeing Museum. Through immersive experiences in pattern generation and dissemination, the project effectively enhances public engagement and cultural identity. The findings reveal that generative AI holds significant potential for promoting the digital transformation, innovative dissemination, and sustainable development of ICH. This study offers a practical approach to the preservation and innovation of intangible cultural heritage. By applying generative artificial intelligence, it further expands the potential for enhancing public engagement and promoting innovative cultural heritage transmission. Additionally, it provides new possibilities for leveraging digital technologies to support the sustainable development of intangible cultural heritage.

Keywords: generative artificial intelligence; LoRA; blue clamp-resist dyeing; intangible cultural heritage; sustainable innovation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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