Evaluation and Research on Interior Decoration Design of Automobile Cabins Based on Intention Recognition – Taking Control Panel Design for an Example

  • Chaoxiang Yang
  • Jianxin ChengEmail author
  • Zhang Zhang
  • Xinhui Kang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9741)


The Article tries to apply Kansei Engineering theory to build up a relationship between the design elements for control panel design of automobile cabins and the perceptual evaluation of users. By integrating design features of the automobile control panel with the evaluation procedure for perceptual image design, an association model is finally established between the design elements for the control panel relating to the interior decoration of automobile cabins and the perceptual evaluation of users through screening of design patterns for the control panel, cognitive study on the perceptual image and by using the composition of design element system. During the study, perceptual evaluation data of test samples is obtained with the method of semantic differential. Combined with the design decomposition elements obtained via morphological analysis, an association model between the design elements and the perceptual evaluation is obtained with factor analysis method to determine the relationship of them and help to forecast the perceptual evaluation value. The article establishes a forecast that the association model can be used for the perceptual evaluation value of cabin interior decoration, and forms a set of systematic and scientific evaluation methodology for the interior decoration design of automobile cabins by describing and verifying the design methods for the control panel in cabins.


Control panel design Intention recognition Kansei Engineering 


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Chaoxiang Yang
    • 1
  • Jianxin Cheng
    • 1
    Email author
  • Zhang Zhang
    • 1
  • Xinhui Kang
    • 1
  1. 1.East China University of Science and TechnologyShanghaiPeople’s Republic of China

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