Using Kansei Semantic Differential Method and Grey Relational Analysis in the Exploration of Product Form Image Cognition Representation

被引:1
|
作者
Qiu, Guo-Peng [1 ]
Yuan, Jia-Li [1 ]
Chen, Jing [1 ]
Lin, Ming-Chyuan [1 ]
机构
[1] Sanming Univ, Coll Arts & Design, Sanming, Fujian, Peoples R China
来源
关键词
Kansei semantic differential method; Product form; Image cognition; Grey relational analysis;
D O I
10.1007/978-3-030-80829-7_103
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The social and living style in our society has greatly changed that makes customer requirements complicated and difficult to grasp. This situation causes designers to devote their efforts on considering consumer emotions or preferences in the engineering aspects of design. Since Kansei engineering is a method for translating customer feelings and impressions into product parameters, it can effectively analyze the human emotion and reflect it on product characteristics. The objective of this study is to integrate properties of emotion and rationality into the generation of product forms. The development procedure includes four stages: (1) data collection, (2) identification of semantic differential adjective vocabulary, (3) imagery analysis of vocabulary, and (4) grey relational analysis for imagery Preference evaluation. The results expected to reduce the differential cognition between customers and designers and link customer requirements with product form elements to help improve design quality.
引用
收藏
页码:844 / 851
页数:8
相关论文
共 50 条
  • [41] Study of the defrosting behavior of concrete by using Taguchi-based grey relational analysis method
    Zhang, Ge
    Ying, Weichao
    Li, Guoxin
    Yang, Yingzi
    He, Tingshu
    [J]. CONSTRUCTION AND BUILDING MATERIALS, 2022, 321
  • [42] Multi-objective optimization of split and recombine micromixer using grey relational analysis method
    Shinde, Anil B.
    Patil, Rajkumar Bhimgonda
    [J]. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2022, 39 (07) : 1577 - 1591
  • [43] Response surface method using grey relational analysis for decision making in weapon system selection
    Peng Wang
    Peng Meng
    Baowei Song
    [J]. Journal of Systems Engineering and Electronics, 2014, 25 (02) : 265 - 272
  • [44] Grey relational analysis using Gaussian process regression method for dissolved gas concentration prediction
    Lu, Shi Xiang
    Lin, Guoying
    que, Huakun
    Li, Mark Jun Jie
    Wei, Cheng Hao
    Wang, Ji Kui
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (06) : 1313 - 1322
  • [45] Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis
    Tzeng, Chorng-Jyh
    Lin, Yu-Hsin
    Yang, Yung-Kuang
    Jeng, Ming-Chang
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (06) : 2753 - 2759
  • [46] Grey relational analysis using Gaussian process regression method for dissolved gas concentration prediction
    Shi Xiang Lu
    Guoying Lin
    Huakun que
    Mark Jun Jie Li
    Cheng Hao Wei
    Ji Kui Wang
    [J]. International Journal of Machine Learning and Cybernetics, 2019, 10 : 1313 - 1322
  • [47] Study of the defrosting behavior of concrete by using Taguchi-based grey relational analysis method
    Zhang, Ge
    Ying, Weichao
    Li, Guoxin
    Yang, Yingzi
    He, Tingshu
    [J]. Construction and Building Materials, 2022, 321
  • [48] OPTIMIZATION OF CAR SOUND PACKAGE WITH STATISTICAL ENERGY ANALYSIS MODEL USING GREY RELATIONAL ANALYSIS AND TAGUCHI METHOD
    Chen, Shuming
    Wang, Dengfeng
    Chen, Jing
    Liu, Bo
    Li, Chuanbing
    [J]. FLUCTUATION AND NOISE LETTERS, 2013, 12 (01):
  • [49] New method to quality evaluation for image fusion using gray relational analysis
    Ma, M
    Tian, HP
    Hao, CY
    [J]. OPTICAL ENGINEERING, 2005, 44 (08)
  • [50] Optimization of the process parameters in generic thermal barrier coatings using the Taguchi method and grey relational analysis
    Kumar, Dipak
    Pandey, K. N.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS, 2017, 231 (07) : 600 - 610