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Reviving Craft Traditions With AI and Tech

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  • Xiaodan Zhou

    (School of Art and Design, Sias University, China)

Abstract

This study proposes an AI-driven information system framework to address data fragmentation and low engagement in preserving intangible cultural heritage handicrafts. By integrating multimodal data (image, motion, 3D) and intelligent recommendation via knowledge graphs, the system enhances semantic modeling, interoperability, and user interaction. Evaluation shows improved accuracy (75%→91%), data integration (65%→89%), and user satisfaction (70%→90%). Results demonstrate its potential for effective information management and dissemination. The authors recommend explainable AI and inclusive, service-oriented design. The framework is adaptable to agricultural and environmental systems requiring traceability, knowledge integration, and public participation. Its modular architecture supports scalable deployment and integration into existing digital heritage or rural information infrastructures.

Suggested Citation

  • Xiaodan Zhou, 2025. "Reviving Craft Traditions With AI and Tech," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global Scientific Publishing, vol. 16(1), pages 1-14, January.
    • Handle: RePEc:igg:jaeis0:v:16:y:2025:i:1:p:1-14
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