This study explores the application of generative artificial intelligence technology in the design of cultural and creative products, using kumis packaging design as a case study. It establishes and validates a “human + AI” collaborative design framework oriented by user demands, driven by cultural resources, and supported by artificially intelligent technological tools. As an important part of ethnic cultural heritage, the Mongolian saddle, with its profound cultural connotations and unique visual characteristics, provides abundant inspiration for kumis packaging design. Through semi-structured interviews, this research identifies design requirement indicators for kumis packaging. The Analytic Hierarchy Process (AHP) is applied to construct a hierarchical model of requirements and calculate indicator weights to identify key design criteria. Subsequently, samples of Mongolian saddle cultural resources are collected, deconstructed, and categorized using an expert panel method, resulting in a structured image set. These elements are then translated into input prompts for AIGC tools to generate multiple kumis packaging designs rich in the cultural essence of the Mongolian saddle. The designs are scientifically evaluated using the Fuzzy Comprehensive Evaluation (FCE) method. The results indicate that the integration of AIGC technology not only enables the effective transformation and expression of cultural elements but also significantly enhances the efficiency and diversity of design generation. This validates the feasibility and practical value of AIGC as a “co-creator” in cultural and creative design. This study provides theoretical guidance and practical reference for the innovative integration of ethnic culture and modern design, expands the application scenarios of generative AI technology in cultural and creative design, and contributes to promoting cultural sustainability.
Zhao et al. (Mon,) studied this question.