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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)

Abstract

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.

Keywords

Car styling Evaluation methods Eye tracking Feature extraction Discriminate function 

Notes

Acknowledgements

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

References

  1. 1.
    China Association of Automobile Manufactures, et al.: Annual Report on Automotive Industry in China. Social Science Academic Press, Beijing (2013)Google Scholar
  2. 2.
    Yadav, H.C., Jain, R., Shukla, S., et al.: Prioritization of aesthetic attributes of car profile. Int. J. Ind. Ergon. 43(2), 296–303 (2013)CrossRefGoogle Scholar
  3. 3.
    Luo, S.-J., Fu, Y.-T., Zhou, Y.-X.: Perceptual matching of shape design style between wheel hub and car type. Int. J. Ind. Ergon. 43(2), 90–102 (2012)CrossRefGoogle Scholar
  4. 4.
    Karjalainen, T.-M.: When is a car like a drink? Metaphor as a means to distilling brand identity through product design references. Des. Manag. J. 12(1), 66–71 (2001)Google Scholar
  5. 5.
    Zhang, F., Yang, M., Liu, W.: Evaluation of automobile form design based on fuzzy TOPSIS. Comput. Integr. Manuf. Syst. 20(2), 276–281 (2014)Google Scholar
  6. 6.
    Coughlan, P.: Once is not enough: repeated exposure to and aesthetic evaluation of an automobile design prototype. Des. Stud. 20(6), 553–563 (1999)CrossRefGoogle Scholar
  7. 7.
    Hyoenae, J., Radach, R., Deubel, H.: The Mind’s Eye: Cognitive and Applied Aspects of Eye Movement Research. Elsevier Science BV, Holland (2003)Google Scholar
  8. 8.
    Andrienko, G., Andrienko, N., Burch, M.: Visual analytics methodology for eye movement studies. IEEE Trans. Vis. Comput. Graph. 18(12), 2889–2898 (2012)CrossRefGoogle Scholar
  9. 9.
    Yang, S.: Pattern Recognition and Intelligent Computing: Publishing House of Electric Industry, Beijing (2011)Google Scholar

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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