Neural network models for transforming consumer perception into product form design

Chung Hsing Yeh, Yang-Cheng Lin

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

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2006
Subtitle of host publicationThird International Symposium on Neural Networks, ISNN 2006, Proceedings - Part III
PublisherSpringer Verlag
Pages799-804
Number of pages6
ISBN (Print)3540344829, 9783540344827
DOIs
Publication statusPublished - 2006 Jan 1
Event3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks - Chengdu, China
Duration: 2006 May 282006 Jun 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3973 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
CountryChina
CityChengdu
Period06-05-2806-06-01

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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