Applying neural networks to consumer-oriented product design

Yang-Cheng Lin, Chung Hsing Yeh, Chen Cheng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

How to create highly-reputable designs and hot-selling products is an essential issue on product design. This paper presents an experimental study to explore the relationship between the consumers' perceptions and product form elements, using one linear quantitative technique (i.e. the grey model) and one nonlinear quantitative technique (i.e. the neural network model). Thirty representative personal digital assistants (PDAs) and six design form elements of PDAs are identified as samples in an experimental study to illustrate how these techniques work. The performance evaluation result shows that the NN model is better to be used to construct a form design database for helping product designers comprehend consumers' perceptions, thus supporting form design decisions in a new PDA product development process.

Original languageEnglish
Title of host publication2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
Pages497-502
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009 - Shanghai, China
Duration: 2009 Nov 72009 Nov 8

Publication series

Name2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
Volume2

Other

Other2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
CountryChina
CityShanghai
Period09-11-0709-11-08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Software

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