Interactive Design System Presenting Candidate Solutions Appealing to Users by Image Generative AI
Year: 2024
Type: article
Abstract: We propose an interactive design system that optimizes the color scheme of a bouquet. The optimization is performed by Interactive Evolutionary Computation, which repeats presentations of candidate designs to a user, evaluations of their scores by the user, and creations of new candidates based on the evaluations. For dealing with the affective information of a user, we believe that how the candidate solutions can appeal to the user’s sensibility is an important issue. Therefore, to provide candidate design images more appeal power, the illustrated designs are transformed into the realistic ones by using the image generative AI, Stable Diffusion. To examine the effectiveness of our system, we performed experiments on 60 subjects. We found our proposed system had an advantage that the user can image the realistic designs clearer during the optimization process.
Authors: Nagisa SAWADA, Akira HARA, Tomoko KAJIYAMA
Institution: Hiroshima City University
Language: English
Topic: Color perception and design
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4405780650