Study combines Saussurean semiotics, brainstorming and AIGC to generate 20 leather bag splicing designs, with B27 scoring highest satisfaction

The study proposes and tests a leather bag splicing design path that links semiotic analysis, brainstorming and AIGC generation, ultimately producing 20 series of schemes with application value of signifiers and signifieds. Compared with prior discussions of splicing design centered on form or craft, the study explicitly structures the symbiotic relationship between the "signifiers" of splicing (material, technique, element) and the "signifieds" (function, aesthetics, connotation) and converts it into batch-generatable AIGC prompts. Evidence comes from the design process and generation results described in the study, namely "a batch of 20 series of leather bag solutions", which is evidence at the level of design practice and scheme output.

The study ranks the generated schemes using a CSAT satisfaction survey, reports good scale reliability and validity indicators, and identifies B27 as the key model with the highest overall satisfaction. Compared with design studies that stop at scheme generation, this study adds a quantitative evaluation step so that scheme selection is supported by satisfaction data. Evidence is the statistics reported in the abstract: individual alpha values of the 20 bags all exceed 0.80, KMO=0.8664, Bartlett sphericity test P<0.001, and average overall satisfaction from 3.34 to 3.48.

From the satisfaction dimensions, the study finds respondents show relatively high recognition of the emotional value of leather bag design, with dimension C (fun, pleasure, self-expression) slightly higher than dimension A (style design) and dimension B (design approach). This dimensional difference brings the emotional and self-expressive value at the "signified" level to the foreground of design evaluation, offering a reference perspective for meaning innovation in splicing design. Evidence is the abstract's statement comparing dimensions, which is a dimensional analysis result of the satisfaction survey.

The study forms a complete design closed loop of "theoretical analysis - market research - innovative application - effectiveness verification" and notes that the visual impact of the "Y2K" style characteristics and the uniqueness of design details still have room for improvement. Compared with single-point applications of a design method, the study integrates semiotic theory, market research, AIGC generation and CSAT verification into a reusable process framework. Evidence is the abstract's direct statement of the closed-loop process and improvement directions, which is a concluding judgment stated by the study itself.

The study addresses splicing methods in leather bag design and applies to leather product or fashion product design settings that wish to combine semiotic analysis, AIGC generation and satisfaction evaluation; it is relevant to design researchers, leather product designers and practitioners interested in AIGC-assisted design workflows, and its conclusions rest on 20 series of schemes and a CSAT satisfaction survey, applying to scheme selection where consumer satisfaction is the main evaluation criterion.

Because the reading scope is incomplete, details beyond the abstract such as sample size, respondent composition, AIGC tools and prompt specifics, and the concrete implementation of the satisfaction survey remain unclear, and these affect judgment of the robustness of the results; in addition, the abstract notes that the visual impact of the "Y2K" style characteristics and the uniqueness of design details still have room for improvement, indicating that style intensity and detail distinctiveness remain open for further exploration.