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基于眼动追踪的汽车造型特征线设计方法研究
引用本文:马丽莎,吕健,单军军,潘伟杰.基于眼动追踪的汽车造型特征线设计方法研究[J].包装工程,2019,40(4):234-241.
作者姓名:马丽莎  吕健  单军军  潘伟杰
作者单位:贵州大学现代制造技术教育部重点实验室,贵阳,550025;贵州大学现代制造技术教育部重点实验室,贵阳,550025;贵州大学现代制造技术教育部重点实验室,贵阳,550025;贵州大学现代制造技术教育部重点实验室,贵阳,550025
基金项目:国家科技支撑项目(2014BAH05F01);贵州省科技项目([2015]6014,[2016]7467,[2016]2327,[2017]1046,[2016]12,[2017]2016)
摘    要:目的 在汽车造型设计开发之前,有效预测汽车造型特征线产生的意象是否真正符合用户隐性意图,便于提高汽车行业情感意象设计水平。方法 首先,获取用户群体需求信息,引导设计方向;其次,建立汽车造型意象认知模型,通过案例分析,构建“标杆车”造型特征线目标意象集;再次,依据眼动实验,提出基于眼动指标(注视点数目、注视时间、平均注视时间)的汽车造型特征线提取模型,进行汽车造型特征线显著性分析与特征线提取;最后,采用形状文法坐标变换规则,结合贝赛尔曲线描述,通过类比形式进行规则映射分析,使用矢量工具Adobe Illustrator 改变特征曲线各锚点与控制点坐标值,实现汽车造型特征的继承与变异。结果 以阿尔特SUV概念研发项目为例,论述该设计方法,通过奔跑的狮子形态进行意象类比,得出最终设计方案。结论 对最终设计方案进行用户喜好度意象评估,用户喜好度为87.65%,证实了该汽车造型意象设计方法的可行性,为汽车行业满足用户群体偏好特征意象,提供了一种新的设计方法。

关 键 词:汽车造型  造型意象  眼动实验  用户喜好度
收稿时间:2018/8/29 0:00:00
修稿时间:2019/2/20 0:00:00

Design Method of Automobile Modeling Feature Line Based on Eye Movement Tracking
MA Li-sh,LYU Jian,SHAN Jun-jun and PAN Wei-jie.Design Method of Automobile Modeling Feature Line Based on Eye Movement Tracking[J].Packaging Engineering,2019,40(4):234-241.
Authors:MA Li-sh  LYU Jian  SHAN Jun-jun and PAN Wei-jie
Affiliation:Key Laboratory of Modern Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, China,Key Laboratory of Modern Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, China,Key Laboratory of Modern Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, China and Key Laboratory of Modern Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang 550025, China
Abstract:The work aims to effectively predict whether the image produced by the car styling characteristic line truly meets the user''s implicit intention, and to improve the design level of the emotional image of the automobile industry before the design and development of automotive modeling. First, users demand information was obtained and design direction was guided. Secondly, the automobile form image cognition model was established. Through case analysis, "standard car bar" target image set was constructed. Thirdly, on the basis of eye movement experiment, the automobile form feature extraction model based on the eye movement index (the number of fixation point, fixation time, average fixation time) was proposedand the significance of automobile design features and characteristics of image extraction were analyzed and extracted. Finally, the rules mapping was analyzed throughanalogy by shape grammar rules combined with coordinate transformation of the Bézier curveand characteristic curve coordinates of each anchor point and control point value was changed by vector tools Adobe Illustrator change so as to realize the inheritance and variation of the automobile form feature. The design method of image analogy was discussed with IAT SUV concept development project as an example by a lion running form and then the final design scheme was obtained. The user preferences of the final design scheme are evaluated. The user preference is 87.65%, which confirms the feasibility of the vehicle form image design method, and provides a new design method for the automotive industry to meet user preferences.
Keywords:automotive modeling  modeling image  eye movement experiment  user preferencess
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