OVERVIEW
STATEMENT OF THE PROBLEM
TARGET AUDIENCE
RESULT
Iteration is a natural feature of a design function, a conversion process from information processing to decision. In the process of repetition, problems will be more apparent, ideas will be improved, mistakes will be confirmed, and new knowledge will be gained. In addition to the iterative cycle between different design activities, there will also be iterative behavior within each design activity.
With the development of technology, graphic design tools are becoming more and more perfect, which allows graphic designers to realize their dream designs, achieve more special effects, and thus expand their conceptual choices. The application of various new technologies in graphic design can promote the development of the graphic design industry. The emergence of artificial intelligence (AI) has broken through the layout design in traditional graphic design. In this article, the author proposes the creation of a graphic design assistant system based on AI drawing on the deep learning (DL) theory.
Perceptual image words are a common form of intuitively reflecting design images. The study of design image also involves many fields of knowledge, including psychology, semiotics, linguistics, aesthetics, sociology, industrial design, computer technology, and ergonomics. Ideally, the design image experienced by users is consistent with the design image that designers want to express. Still, in fact, the designer’s design concept and user’s perception are often different, to some extent, leading to the cognitive contradiction between designers and users and the deviation between product design and user’s needs. To make up the cognitive difference between designers and users, it is necessary to establish a scientific evaluation method for design images.
With the development of AI technology, machine learning based on design image data makes AI-aided design possible. In this regard, DL has shown great application potential in design image analysis and generation. Although the existing graphic design system can provide a graphical platform for users, it cannot provide more graphical geometric basis for users in the process of graphics. Therefore, in his study, the author created a new AI-based graphic design assistant system, which can complete the aesthetic analysis of geometric element proportion in graphic design, thus helping users to perceive the feeling of visual aesthetic and providing users with design support related to geometric aesthetic principles. The results show that, from the aesthetic point of view, the overall score of the appraisers is 8.788, which is better than CAD and PS software, indicating that the design of this study can meet the needs of professional design better.
Design of Graphic Design Assistant System Based on Artificial Intelligence
Author: Yanqi Liu
Date: January, 2023