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Journal of Humanities, Arts and Social Science

ISSN Online: 2576-0548 Downloads: 577233 Total View: 4197162
Frequency: monthly ISSN Print: 2576-0556 CODEN: JHASAY
Email: jhass@hillpublisher.com
Article Open Access http://dx.doi.org/10.26855/jhass.2024.07.034

Exploring the Application of Artificial Intelligence in Qiang Culture Heritage and Museum Design

Juntao Li*, Lanyue Zhang

Fine Arts & Calligraphy College, Sichuan Normal University, Chengdu 610100, Sichuan, China.

*Corresponding author: Juntao Li

Published: August 14,2024

Abstract

The digital transformation of China's ethnic museums, especially in minority regions, is lagging behind economically developed areas. This underrepresentation necessitates innovative digital strategies to better showcase the rich cultural heritage of these groups. In Sichuan Province, home to Ganzi, Aba, and Liangshan autonomous prefectures, the "China Qiangology AI Visual Design Workshop" was launched by Sichuan Normal University and the Qiang Museum of Mao County. This initiative aims to explore and organize Qiang cultural symbols using AI technology, creatively transforming and developing Qiang culture. The workshop combines traditional cultural elements with modern AI tools, enhancing design efficiency and fostering innovative solutions for cultural heritage preservation. The interdisciplinary collaboration promotes the modern expression and dissemination of Qiang culture, offering new pathways for its inheritance. Future efforts should focus on optimizing AI models for cultural analysis and integrating traditional educational methods with modern technologies like AR and VR, providing immersive learning experiences and deepening interdisciplinary collaboration.

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How to cite this paper

Exploring the Application of Artificial Intelligence in Qiang Culture Heritage and Museum Design

How to cite this paper: Juntao Li, Lanyue Zhang. (2024) Exploring the Application of Artificial Intelligence in Qiang Culture Heritage and Museum Design. Journal of Humanities, Arts and Social Science8(7), 1733-1737.

DOI: http://dx.doi.org/10.26855/jhass.2024.07.034