A Method of Car Styling Evaluation Based on Eye Tracking

  • Zhaolin LuEmail author
  • Shaobing Xu
  • Bo Cheng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10920)


In order to remedy the weakness of traditional subjective evaluation method and acquire the users’ objective assessment on automotive form design, a method of Auto form evaluation based on eye tracking is proposed. First, the index system is structured on the basis of heatmap including striping the background, extracting color characters by HSV model and calculating the statistic of grey level histogram. Second, the evaluation on auto form is defined as binary classification, and the function model is built by Fisher discriminate. The reliability and practicality of this method was validated by taking a case. The result showed that overall accuracy of this method was high. So a feasible technical approach for the rapid evaluation of automotive styling is provided.


Car styling Evaluation methods Eye tracking Feature extraction Discriminate function 



The author would like to thank National Natural Science Foundation of China (No. 51205228), Anhui Natural Science Foundation Project (No. 1508085QG144).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Art and DesignHefei UniversityHefeiChina
  2. 2.Department of Automotive Engineering, State Key Laboratory of Automotive Safety and EnergyTsinghua UniversityBeijingChina

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