Objective As a national intangible cultural heritage, Baiku Yao clothing patterns have great artistic charm and research value. To advance innovative design research on Baiku Yao clothing patterns, this study integrates semiotic theory with artificial intelligence generated content (AIGC) technology, exploring their innovative application in leather cultural and creative bags in the era of digital intelligence. The goal is to promote the creative redesign and digital inheritance of traditional patterns.
Methods First, by introducing Morris semiotic theory, this paper conducts a semantic interpretation of the thematic categories and symbolic meaning of Baiku Yao clothing patterns, performs a syntactic analysis of their configuration elements, color schemes, and crafting techniques, and carries out a pragmatic study of their pragmatic carrier and function. This facilitates the exploration of connections between these patterns and leather cultural and creative bags. Secondly, by integrating AIGC technology, the study investigates the symbolic transformation of Baiku Yao clothing patterns in leather cultural and creative bag designs across three dimensions: semantic integration and temporal extension of patterns, syntactic extraction and semiotic transmutation of patterns, and pragmatic manifestation and user-centric considerations of patterns. This approach establishes a design framework for leather cultural and creative bags based on "pattern symbol interpretation - intelligent pattern generation - pattern design application". Finally, the customer satisfaction (CSAT) survey method is employed to select the optimal pattern sample. AIGC prompts keywords structured with the logic of "meaning, form and function" are generated and input into the Midjourney to complete the design application.
Results This study constructs AIGC creative prompts based on semiotic theory across three dimensions of semantics, syntax and pragmatics, and inputs them into Midjourney, an AIGC image-generation model. Through multiple forward and reverse iterations refining both "enhancement prompts" and "negative prompts," the multimodal iterative model of encompassing image-to-image and text-to-image generation is continuously trained to produce three design proposals. Subsequently, CSAT survey method is applied to evaluate the three designs across three layers: the intrinsic spiritual layer, the extrinsic material layer, and the intermediate behavioral layer. The results indicate that the CSAT scores for all three leather cultural and creative bag designs fall within the range between 75% and 85%, demonstrating that the serialized designs successfully embody the ethnic characteristics of the Baiku Yao people while maintaining practicality. This confirms their alignment with user needs and validates their efficacy in disseminating Baiku Yao culture.
Conclusion By applying Baiku Yao clothing patterns to leather cultural and creative bag designs based on semiotic theory and AIGC technology, this study validates the potential of high-efficiency design solution generation through a collaborative creation model between designers and AIGC technology. The research fosters public recognition and perceptual identification with the crafting philosophy and cultural semantics embodied in Baiku Yao clothing patterns. The findings provide transferable methodologies and pathways for the application of ethnic patterns in leather cultural creative products, providing referential significance for both the digital preservation and innovative transformation of Baiku Yao clothing patterns.
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