AI를 활용한 제품 디자인 프로세스: 효율성과 창의성 탐구 - 디자인 프로세스 단계별 AI 도구 활용의 실효성과 한계-

Background This study examines the contributions and limitations of AI tools in the design process, focusing on shared principles in Design Thinking, Agile, and the Double Diamond Model, such as user-centered approaches and iterative execution. By analyzing their impact on efficiency and creativity across key stages (discovery, definition, development, validation), this research evaluates their practical potential and limitations while proposing a collaborative framework between human designers and AI. Methods In-depth Interview(IDI) with seven experts experienced in product design and AI tools were qualitatively analyzed to identify contributions and limitations of AI in the integrated design process. Result AI tools significantly contributed to reducing task duration, automating repetitive tasks, and accelerating data analysis, particularly in the discovery and definition stages. While they provided partial support for creative ideation, limitations in contextual understanding and creative judgment were evident during development and validation stages. Conclusion This study examined the impact of AI tools on the design process, finding them effective in data collection and idea generation during the discovery and definition phases. However, their role was limited in development and validation, requiring designers' direct involvement. This highlights the need for improved AI capabilities and integration with professional tools to foster collaboration and balance efficiency with creativity throughout the design process.