计算机集成制造系统 ›› 2015, Vol. 21 ›› Issue (第7期): 1711-1718.DOI: 10.13196/j.cims.2015.07.005

• 产品创新开发技术 • 上一篇    下一篇

面向汽车造型的用户视觉模式识别比较

卢兆麟1,2,3,李升波1,徐少兵1,Fritz Frenkler2+   

  1. 1.清华大学汽车工程系汽车节能与安全国家重点实验室
    2.合肥学院艺术设计系
    3.慕尼黑工业大学工业设计系
  • 出版日期:2015-07-31 发布日期:2015-07-31
  • 基金资助:
    国家自然科学基金资助项目(51205228);中国博士后科学基金资助项目(2014M560955);安徽高校省级优秀青年人才基金重点资助项目(2013SQRL078ZD);安徽省自然科学基金资助项目(1508085QG144);合肥学院人才基金资助项目(2014rc16)。

Comparative research on users'visual pattern recognition oriented to automotive styling features

  • Online:2015-07-31 Published:2015-07-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51205228),the Postdoctoral Foundation,China(No.2014M560955),the Outstanding Young Talent of Universities in Anhui Province,China(No.2013SQRL078ZD),the Anhui Provincial Natural Science Foundation,China(No.1508085QG144),and the Foundation for Talent in Hefei University,China(No.2014rc16).

摘要: 为使汽车造型设计更好地符合目标用户的审美心理,以跨文化视角对用户视觉模式识别进行了比较研究。基于Treisman的特征整合理论,提出汽车造型视觉识别一般模型。以汽车前视正面造型为样本,选取中德两国用户作为被试者,以品牌识别为任务,首先使用Dikablis眼动仪进行眼动跟踪实验,再结合Likert量表进行识别度的问卷调查。利用灰度直方图对眼动热点图进行特征提取,并对用户感兴趣区域的各项指标进行了对比分析,所得结论为面向中国市场的车型开发提供了借鉴和参考。

关键词: 产品设计, 汽车造型, 比较研究, 视觉模式识别, 眼动跟踪

Abstract: To make automotive design conform to aesthetic psychology of target users,users'visual pattern recognition was researched comparatively with cross-culture perspective.Based on Feature Integration Theory (FIT) theory of Treisman,a general model for automotive styling feature's visual recognition was proposed.Automotive front face was taken as a sample,and China and Germany users were selected as subjects in the experiment: in first step,Dikablis eye tracker was used for eye-tracking experiment;the questionnaire survey combined with Likert scale was made in second step.Grey level histogram and SPSS software were used to analyze the experimental data,and the results provided reference for automotive styling feature's development oriented to the Chinese market.

Key words: product design, automotive styling features, comparative research, visual pattern recognition, eye tracking

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