Research on the Construction of a Collaborative AI-Assisted Design Model for Cultural Creativity

With the advancement of artificial intelligence technology, AI-assisted design has evolved from a functional tool to a collaborative partner in the creative process, enhancing design efficiency, broadening cultural interpretation, and transforming conventional design paradigms. Cultural creativity, as a design process, integrates cultural imagery, creative thinking, and technological innovation to translate cultural values into tangible design outcomes. While cultural elements are often incorporated into design through narrative and playful methods to accentuate historical and local identity, their interpretation and value assessment continue to rely substantially on designers' expertise. This study adopts a qualitative research approach, combining literature analysis, case studies, and conceptual modeling to examine the role of AI in cultural and creative design. A "Three-Layer Emotional Value System" and a "Five-Step Design Process" are proposed to systematically transform cultural symbols, meanings, and imagery into design language. Furthermore, a "Culture-AI-Innovation" translation model is constructed and empirically validated through three types of cultural creative products, illustrating the viability of a human-AI collaborative design framework. By integrating Leong's culture-based design model with the 3I innovation framework, the proposed approach addresses the issue of cultural homogenization prevalent in existing AI design tools. This research offers both theoretical insights and practical strategies for cultural creativity and design education, establishing a structured methodology for human-AI co-creation in culturally grounded product development.