Evaluation of AI generation interface element layout based on aesthetics model
Authors: Jincheng Hu, Wenyu Wu, Zhijie Xia
Abstract: AI-generated interface has been widely used in the field of e-commerce, however, the quality of the AI-generated interface cannot be guaranteed. In order to objectively evaluate the aesthetic quality of the elements layout of AI-generated interface, an aesthetic model was proposed based on graphics and psychological theories. The factor analysis method was used to analyze the 13 kinds of Aesthetic indicators proposed by Ngo, therefore the design variables that affect the overall interface aesthetics was reduced to balance, overall, conciseness, and rhythm, which simplifies the aesthetic model. In order to verify the feasibility of the model, took the interface generated by Alibaba Luban AI as an example, and used the Likert scale method to subjectively evaluated the interface. The experimental results show that the fit degree between the aesthetic model and the subjective evaluation result is high, which verify the important role of the aesthetic model in the optimization potential of the AI generated interface, and provide Rational basis for the interface design.
Keywords: HMI，Interface aesthetics，Factor Analysis，Design evaluation
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