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工程设计学报
Chinese Journal of Engineering Design  2014, Vol. 21 Issue (4): 323-328    DOI: 10.3785/j.issn. 1006-754X.2014.04.003
    
Product feature deconstruction method by constructing a multi-dimensional kansei engineering model
LIU Ling-ling1,2, XUE Cheng-qi1
1. School of Mechanical Engineering, Southeast University, Nanjing 210096, China;
 2. School of Arts, Guilin University of Technology, Guilin 541004, China
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Abstract  In the light of the situation that former kansei engineering(KE) model tends to be one-dimensional variables in expression which causes low practical value, this paper proposes to construct KE model with multi-dimensional variables in expression. Guided by cognition and morphology theory, a product deconstruction method was proposed to obtain multi-dimensional design elements. Taking morphological characteristics as a breakthrough point instead of product parts as extraction principle, the feature deconstruction framework was proposed which induced by appearance, operation and cultural symbol three levels. A morphological characteristics procedure of deconstruction was analyzed, to validate the performance of the KE model, by taking air cleaner as an example.

Key words： morphological characteristics deconstruction      design element      perceptual image      multi-dimensional KE model     
Received: 13 February 2014      Published: 28 August 2014
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LIU Ling-Ling
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Cite this article:

LIU Ling-ling,XUE Cheng-qi. Product feature deconstruction method by constructing a multi-dimensional kansei engineering model. Chinese Journal of Engineering Design, 2014, 21(4): 323-328.

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https://www.zjujournals.com/gcsjxb/10.3785/j.issn. 1006-754X.2014.04.003     OR     https://www.zjujournals.com/gcsjxb/Y2014/V21/I4/323


面向多维KE模型构建的产品特征解构方法

传统感性工学(kansei engineering,KE)使用的形态学图表法(morphological charts,MC)聚焦于形态“轮廓”变量以及各产品构件拆解，造成一维变量表达的研究结果在外观感性设计阶段价值微弱.以“造型特征”取代“产品构件”为解构原则，融入认知科学、形态学观点，丰富“外观层面”特征解析要素.除视觉认知的“外观层面”外，融入“使用交互”及“文化象征”层次，且提出一种多感官通道的多维度的特征解析步骤，更符合造型设计规律.结合空气净化器产品案例验证该方法的具体使用过程，确保KE模型更可靠.

关键词： 特征解构,  设计要素,  感性意象,  多维KE模型 
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