Proposal for Design Evaluation Methodology Using Generative AI : Focusing on ChatGPT and Midjourney
Taeho Lim, YongJoo Kim, Ken Nah · Korea Institute of Design Research Society · 2025
This study proposes a design verification and evaluation methodology using generative AI, focusing on ChatGPT and Midjourney, to enhance the objectivity and efficiency of the design process. While generative AI is mainly used in the early stages of design, this research explores its application in verifying final design outcomes. Using image-to-text tool, extracted text prompts from design images are compared with original design descriptions to assess aesthetic similarities. The evaluation framework includes six categories: concept, style, shape, composition, color, and texture, with weighted scoring for quantitative analysis. The methodology is validated with award-winning design works, demonstrating reliability through repeated assessments. This approach enables automated verification at different design stages, providing insights for optimizing design options. By integrating AI into the design validation process, this study enhances evaluation objectivity and supports data-driven decision-making, ultimately improving market success potential.