Open Access
E3S Web Conf.
Volume 179, 2020
2020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
Article Number 02006
Number of page(s) 6
Section Environmental and Industrial Design
Published online 23 July 2020
  1. Lin, L., Guo, Z.E., & Yang, M.Q. (2020). Current research situation and trend of product image-based modeling optimization. Packaging Engineering, 41 (02), 65-79. [Google Scholar]
  2. Luo, S.J., & Pan, Y.H. (2007). Review of Theory, Key Technologies and Its Application of Perceptual Image in Product Design. Chinese Journal of Mechanical Engineering, 43 (3), 8-13. [Google Scholar]
  3. Jiao, Y.R., & Qu, Q.X. (2019). A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews. Computers in Industry, 108, 1-11. [Google Scholar]
  4. LaPiere, R.T. (1934). Attitudes vs. actions. Social forces, 13 (2), 230-237. [CrossRef] [Google Scholar]
  5. Yang, M.Q., Lin, L., Chen, Z.A., Wu, L., & Guo, Z.E. (2020). Research on the construction method of kansei image prediction model based on cognition of EEG and ET. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-21. [Google Scholar]
  6. Nagamachi, M. (1995). Kansei Engineering: A new ergonomic consumer-oriented technology for product development. International Journal of Industrial Ergonomics, 15 (1), 3-11. [Google Scholar]
  7. Nagamachi, M. (2002). Kansei engineering as a powerful consumer-oriented technology for product development. Applied Ergonomics, 33 (3), 289-294. [Google Scholar]
  8. Yang, C. (2011). A classification-based Kansei engineering system for modeling consumers’ affective responses and analyzing product form features. Expert Systems with Applications, 38 (9), 11382-11393. [Google Scholar]
  9. Su, J.N., Wang, P., Zhang, S.T., Zhao, A.S., & Zhou, A.M. (2013). Review of key technologies of product image styling design. Journal of Machine Design, 30 (01), 97-100. [Google Scholar]
  10. Greenwald, A.G., McGhee, D.E., & Schwartz, J.L. (1998). Measuring individual differences in implicit cognition: the implicit association test. Journal of personality and social psychology, 74(6), 1464. [Google Scholar]

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