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基于感性意象的SUV前脸造型设计
陈金亮, 赵锋, 廖浩勤, 张曼茹, 万恪睿, 逯帅, 刘卓
西安建筑科技大学,西安 710055
摘要:
目的 为明确汽车造型对用户情感产生的影响,辅助汽车意象造型设计,提出一种基于感性意象的运动型多用途汽车(Sport Utility Vehicle,SUV)前脸造型设计方法。方法 以典型的SUV为研究对象,收集并筛选出具有代表性的SUV样本和感性意象语意空间,使用语义差分法获取用户对代表性样本的感性意象评价;利用SPSS软件对感性意象语意空间进行因子分析,提取出主意象因子;运用形态分析法从比例关系、相对位置关系和形态方面进行SUV前脸造型设计要素分解;通过数量化理论I建立感性意象与SUV前脸造型设计要素之间的映射关系,并将研究结果运用到SUV前脸造型设计方案中。结论 运用该方法,可将用户模糊的意象和情感体验转化为真实的汽车前脸造型设计要素,提高用户的认同感,使汽车造型设计更加人性化,为SUV造型设计提供参考。
关键词:  感性意象  汽车造型  形态分析法  数量化理论I
DOI:10.19554/j.cnki.1001-3563.2020.20.017
分类号:TB472
基金项目:陕西省软科学研究计划项目(2020KRM140);校青年科技基金项目(QN1643)
SUV Front Face Styling Design Based on Perceptual Image
CHEN Jin-liang, ZHAO Feng, LIAO Hao-qin, ZHANG Man-ru, WAN Ke-rui, LU Shuai, LIU Zhuo
Xi’an University of Architecture and Technology, Xi’an 710055, China
Abstract:
The work aims to propose a method of SUV front face styling design based on perceptual image, in order to identify the influence of vehicle styling on users’ emotions and assist the imagery styling design. Taking typical SUV as the research object, representative SUV samples and perceptual image semantic space were collected and selected and semantic differential method was used to obtain users’ perceptual image evaluation on representative samples. Through the factor analysis on the perceptual image semantic space with SPSS software, the main image factors were extracted. Morphological analysis was used to study the design elements of SUV front face styling from proportion relationship, relative position relationship and form. The mapping relationship between perceptual image and the design elements of SUV front face styling was established through quantification theoryⅠ. The research results were integrated into the SUV front face styling design. This method can transform the users’ fuzzy image and emotional experience into the real design elements of SUV front face styling, improve the users’ sense of identity, make vehicle styling design more humanized and provide references for SUV styling design.
Key words:  perceptual image  vehicle styling  morphological analysis  quantification theoryⅠ

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