Electric Vehicle Styling Image Decision Model Based on User Evaluation Data

Abstract

In order to solve the problem of the cognitive mechanism between user emotion and styling image in the process of electric vehicle design, improve the company's decision-making ability on styling imagery, and reduce the risk of electric vehicle development, an electric vehicle styling image decision model based on user evaluation data was proposed. The decision model first uses the web crawler method to obtain user evaluation data of research sample, and performs preprocessing, keyword extraction, and weight calculation on evaluation data; then uses sentiment analysis algorithm to obtain the sentiment value of the keywords in user evaluation data, as the user identification emotion evaluation score; encode and parameterize the modeling feature elements of research samples, and then construct the mapping relationship between the modeling feature elements and user's cognitive emotion. The “fashion” modeling image was taken as an example to design a case to verify the feasibility of the decision-making model. The research results show that the decision-making model can not only help companies quickly find user's attention to the different attributes of electric vehicle styling images, but also assist designers to quickly decide on styling image design goals, improve design efficiency, and reduce project period.

Keywords

• evaluation data
• electric vehicles
• modeling image
• decision model