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Neural Network Models for Transforming Consumer Perception into Product Form Design

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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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.

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References

  1. Lai, H.H., Lin, Y.C., Yeh, C.H.: Form Design of Product Image Using Grey Relational Analysis and Neural Network Models. Computers and Operations Research 32, 2689–2711 (2005)

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Author information

Authors and Affiliations

  1. Clayton School of Information Technology, Monash University, Victoria, Australia

    Chung-Hsing Yeh

  2. Graduate Institute of Finance and Banking, National Cheng Kung University, Taiwan

    Chung-Hsing Yeh

  3. Department of Fine Arts Education, National Hualien University of Education, Hualien, 970, Taiwan

    Yang-Cheng Lin

Authors
  1. Chung-Hsing Yeh
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  2. Yang-Cheng Lin
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Yeh, CH., Lin, YC. (2006). Neural Network Models for Transforming Consumer Perception into Product Form Design. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_117

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  • DOI: https://doi.org/10.1007/11760191_117

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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