Research on Modeling Design of Automobile Central Control Panel Based on Quantification Theory Ⅰ

XU Xiao-xia, HAN Ya-xin, XU Mu-yun, FU Hong-fa, WANG Qing-jiu

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (4) : 175-181, 250.

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Packaging Engineering ›› 2022, Vol. 43 ›› Issue (4) : 175-181, 250. DOI: 10.19554/j.cnki.1001-3563.2022.04.021

Research on Modeling Design of Automobile Central Control Panel Based on Quantification Theory Ⅰ

  • XU Xiao-xia1, HAN Ya-xin1, FU Hong-fa1, WANG Qing-jiu1, XU Mu-yun2
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Abstract

Taking the modeling of Automobile Central Control Panel as the research object, from the point of view of users, the products that meet the users’ perceptual needs are designed.Firstly, the SD (semantic difference) method was used to make a questionnaire, and the perceptual image words and sample pictures which could describe the shape of the central control panel were collected and selected, based on the visual cognition and aesthetics, the morphological analysis was conducted to extract the most representative morphological curves, and the user need was combined to collect key design elements that affect the modeling design of the center control panel; Secondly, through the method of product image modeling design based on quantitative theory I, the six design elements of morphological characteristics extracted from the central control panel were assigned quantificationally, and the multiple regression analysis was carried out with the help of SPSS statistical software to construct a mathematical mapping model of independent and dependent variables, thus predicting the correlation between design elements and perceptual image vocabulary.Through the case analysis, it is proved that this design method can more accurately calculate the best modeling design scheme of the central control panel, which is feasible. The use of quantitative theory I in product image modeling design can effectively provide objective decision-making basis for the design scheme and evaluation of central control panel.

Key words

quantitative theory I; central control panel; kansei engineering; product image modeling design

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XU Xiao-xia, HAN Ya-xin, XU Mu-yun, FU Hong-fa, WANG Qing-jiu. Research on Modeling Design of Automobile Central Control Panel Based on Quantification Theory Ⅰ[J]. Packaging Engineering. 2022, 43(4): 175-181, 250 https://doi.org/10.19554/j.cnki.1001-3563.2022.04.021
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