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Neural Network Models for Transforming Consumer Perception into Product Form Design

  • Chung-Hsing Yeh
  • Yang-Cheng Lin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

This paper presents a number of neural network (NN) models for examining how a given product form affects product images perceived by customers. An experimental study on mobile phones is conducted. The concept of consumer oriented design is used to extract the experimental samples as a design database for the numerical analysis. The result of the experiment demonstrates the advantages of using NN models for the product form design. NN models can help product designers understand consumers’ perception and translate consumers’ feeling of a product into design elements.

Keywords

Mobile Phone Neural Network Model Form Element Output Neuron Grey Relational Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chung-Hsing Yeh
    • 1
    • 2
  • Yang-Cheng Lin
    • 3
  1. 1.Clayton School of Information TechnologyMonash UniversityAustralia
  2. 2.Graduate Institute of Finance and BankingNational Cheng Kung UniversityTaiwan
  3. 3.Department of Fine Arts EducationNational Hualien University of EducationHualienTaiwan

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