TY - JOUR
KW - China
KW - Wenzhou
KW - Zhejiang
KW - Artificial intelligence
KW - cultural heritage
KW - Digitization
KW - Innovation
KW - Sustainable development
KW - Technological development
AU - Yidan Wang
AU - Yixuan Zhou
AB - 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.
BT - Sustainability
DA - feb
DO - 10.3390/su17030898
M1 - 3
N2 - 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.
PY - 2025
T2 - Sustainability
TI - Artificial Intelligence-Driven Interactive Experience for Intangible Cultural Heritage: Sustainable Innovation of Blue Clamp-Resist Dyeing
VL - 17
ER -