Study on the Morphological Sensitivity of Children’s Companion Robot

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11584)


This paper takes the children’s companion robot as the research object, uses the basic principles of Kansei Engineering and the quantitative I class, explores the correspondence between the consumer’s emotional image and the child’s companion robot’s morphological design elements, in order to facilitate the design process of children’s companion robot. This paper constructs the image space of children’s companion robot based on user’s perceptual appeal and establishes a relationship model between design perceptual image and children’s companion robot morphological design elements. A model test of the correspondence between imagery and morphological design elements.


Children’s companion robot Morphological elements Clustering algorithm Quantified class I 


  1. 1.
    Anonymous. “China Made 2025” planning series interpretation of the promotion of robot development. Sci. Technol. Herald, 33(21), 76–78 (2015)Google Scholar
  2. 2.
    Aili, Z.: Research on children’s product design based on emotional design theory. Popular Lit. 21, 77–78 (2012)Google Scholar
  3. 3.
    Jianlin, N.: Analysis of children’s emotional design. China Packag. Indus. 12, 17–18 (2013)Google Scholar
  4. 4.
    Harada, A.: The parallel Design Methodology in the Kansei Engineering. Report of Modeling the evaluation structure of Kansei, pp. 309–316Google Scholar
  5. 5.
    Nagamachi, M.: Kansei engineering: the implication and applications to product development. In: IEEE International Conference on Systems, Man, and Cybernetics, vol. 6, pp. 273–278 (1999)Google Scholar
  6. 6.
    Nagamachi, M.: Kansei Engineering: a new ergonomic consumer-oriented technology for Product development. Int. J. Ind. Ergon. 15(1), 3–11 (1995)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Matsubara, Y., Nagamachi, M.: Hybrid Kansei engineering system and design support. Int. J. Ind. Ergon. 19(2), 81–92 (1997)CrossRefGoogle Scholar
  8. 8.
    Ishihara, S., et al.: Theoretical analysis based on the design of ergonomic engineering products. Nanjing University of Aeronautics and Astronautics (2007)Google Scholar
  9. 9.
    Zhao, Q.: Perceptual Engineering and its Application in Product Design. Shandong University (2008)Google Scholar
  10. 10.
    Tang, L.: Investigation of Perceptual Engineering Methods. Nanjing University of the Arts (2008)Google Scholar
  11. 11.
    Kong, Q.: Research on the Stroller Modeling of Consumer Perception Image. Shaanxi University of Science and Technology (2015)Google Scholar
  12. 12.
    Ge, T.: Research on the Design of Sanxin 1008B Hemodialysis Machine. Southeast University (2016)Google Scholar
  13. 13.
    Ma, Y.: Research on Parent-Child Toy Design Based on Perceptual Engineering Design Method. Taiyuan University of Technology (2016)Google Scholar
  14. 14.
    Zhu, Y.: Research on shape design of family service robot based on perceptual engineering. Packag. Eng. 14, 50–54 (2015)Google Scholar
  15. 15.
    Yuyue, Yu., Jian, Z.: Application of product semantics in family education robot design. Research 8, 00069–00070 (2016)Google Scholar
  16. 16.
    Zhu, H., Xu, Z.Y., Xu, B.: Modeling of children’s learning companion robot based on emotional design theory. Mech. Design 4, 122–124 (2016)Google Scholar
  17. 17.
    Harada, A.: The structure of perceptual engineering: research fields and objects of perceptual engineering. In: Proceedings of 1998 Sino-Japanese Design Education Symposium, pp. 2–16. Yunlin University of Science and Technology (1998)Google Scholar
  18. 18.
    Chen, G., He, M., Deng, Y.: Integration research of composite inductive engineering applied in product development. Indus. Design 32, 108–117 (2004)Google Scholar
  19. 19.
    Xu, Y., Chen, K., Peng, Z.: Analysis of consumer demand based on perceptual engineering. Design Art Res. 02(3), 1–5 (2012)Google Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Art Design and mediaEast China University of Science and TechnologyShanghaiChina

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