Abstract

Against the backdrop of rapid industrialization, urbanization, and shifting consumer preferences, traditional rural handicrafts in China are undergoing a profound crisis of value. Although design interventions and digital integration have brought new opportunities to rural handicrafts, their sustainable revitalization still faces fundamental challenges. This study employs a first-principles analytical approach to deconstruct these challenges into two core dimensions: perceived value (aesthetic, emotional, and utilitarian) and production factors (labor, capital, and technology). Using the feather painting craft of Sheng shi ying Village in Yanqing District, Beijing, as a case study, we conducted an empowerment experiment that integrates Generative Artificial Intelligence (AIGC) and design innovation into rural handicraft practice. The findings indicate that the synergy between AIGC and design innovation not only significantly shortens the design and production cycle of handicraft products and improves production efficiency, but also reconstructs perceived value by enhancing contemporary aesthetic expression, emotional resonance, and practical utility. This effectively addresses the value misalignment and resource constraints faced by rural handicrafts. Furthermore, the study proposes a systematic and transferable “AIGC +” Design dual-path model, providing methodological support for leveraging artificial intelligence and design innovation to facilitate rural value reconstruction and production efficiency improvement, and offering valuable insights for designers, policymakers, and rural communities engaged in sustainable transformation.

Keywords

AIGC and design empowerment; Rural handicrafts; Perceived value reconstruction; Production-factor reconfiguration

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Track 11 - Culture and Craft Design for Regenerative Practices

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Dec 2nd, 9:00 AM Dec 5th, 5:00 PM

AIGC+ Design Empowerment for Value Reconstruction and Production-Factor Reconfiguration in Rural Handicrafts: The Case of "Prosperous Yongning

Against the backdrop of rapid industrialization, urbanization, and shifting consumer preferences, traditional rural handicrafts in China are undergoing a profound crisis of value. Although design interventions and digital integration have brought new opportunities to rural handicrafts, their sustainable revitalization still faces fundamental challenges. This study employs a first-principles analytical approach to deconstruct these challenges into two core dimensions: perceived value (aesthetic, emotional, and utilitarian) and production factors (labor, capital, and technology). Using the feather painting craft of Sheng shi ying Village in Yanqing District, Beijing, as a case study, we conducted an empowerment experiment that integrates Generative Artificial Intelligence (AIGC) and design innovation into rural handicraft practice. The findings indicate that the synergy between AIGC and design innovation not only significantly shortens the design and production cycle of handicraft products and improves production efficiency, but also reconstructs perceived value by enhancing contemporary aesthetic expression, emotional resonance, and practical utility. This effectively addresses the value misalignment and resource constraints faced by rural handicrafts. Furthermore, the study proposes a systematic and transferable “AIGC +” Design dual-path model, providing methodological support for leveraging artificial intelligence and design innovation to facilitate rural value reconstruction and production efficiency improvement, and offering valuable insights for designers, policymakers, and rural communities engaged in sustainable transformation.

 

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