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With the rapid advancement of generative AI technologies, the collaboration between designers and generative AI during the conceptual design stage has fostered a novel paradigm of Human-AI Co-creation in design. However, relevant systematic reviews remain relatively scarce. This study analyses 80 research papers and publications from prominent databases such as Web of Science (WOS), Scopus, ScienceDirect, and Google Scholar, based on rigorous selection criteria and utilizing the CiteSpace bibliometric analysis tool. We developed a comprehensive systemic model for Human-AI Co-creation Design: cognition, process, methodology, and outcome. Key findings encompass the transformation of design cognition from designer-centric to Human-AI collaborative cognition, the shift of design process from experience-driven to constraint-driven, the evolution of design method from unimodal to multimodal interaction, and the indirect influence of generative AI on design outcome. Furthermore, this paper discusses the boundaries of Human-AI Co-creation Design with generative AI and envisions future research directions for multidisciplinary collaboration and the future models of AI and designer creative fusion. Through a systematic analysis and summary of the current paradigm shift, this paper identifies the limitations of existing research and provides insights into future research directions for building a more efficient Human-AI Co-creation design paradigm.
Chen et al. (Sat,) studied this question.