汽车前脸造型意象模型研究及应用

Research and Application of Image Model of Automobile Front Face

摘要: 为明确汽车前脸造型与汽车意象认知的关系，运用感性工学技术将用户对汽车前脸的设计要素造型认知因素量化。通过爬虫得到相关数据库，以汽车前脸为样本进行意象认知实验的基础上，运用语义差异法用户的感性意象评价，对汽车前脸各设计要素进行数量化I类处理，再通过多元线性回归分析建立汽车前脸造型意象认知空间。总结了汽车前脸造型评价因子的对各相关感性意象的主要影响因素。最后通过建模软件，根据相关意象对汽车前脸进行了设计应用，为设计师及研究者们使用消费者情感意象进行汽车造型设计时提供一定指导。

Abstract: In order to clarify the relationship between car front face shape and car image recognition, kansei engineering technology is used to quantify the user’s perception of the car front face design element shape. Relevant databases are obtained through crawlers. On the basis of image cognition experiments with car front faces as samples, the user’s perceptual image evaluation using semantic difference method is used to quantify the design elements of car front faces in Type I processing, and then through multiple linear regression, we analyze and establish a cognitive space for the imagery of the front face of the car, summarize the main influencing factors of the automobile front face model evaluation factors on the related perceptual images. Finally, modeling software is used to design and apply the front face of the car according to the relevant imagery, which provides some guidance for designers and researchers when using consumer emotional imagery to design car styling.