Consumer oriented design of product forms

Yang Cheng Lin, Hsin Hsi Lai, Chung Hsing Yeh

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

This paper presents a new approach for designing form elements of a product based on consumers' perception of images of the product. Neural network (NN) models are used to suggest the best combination of product forms for matching a given set of product images. An experimental study on the form design of mobile phones is conducted to evaluate the performance of four NN models, which are developed by linking 9 form elements with 3 product images of mobile phones. The evaluation result shows that NN models can be used to help product designers determine the best combination of form elements for matching a set of desirable product images.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsFuliang Yin, Chengan Guo, Jun Wang
PublisherSpringer Verlag
Pages898-903
Number of pages6
ISBN (Print)3540228438, 9783540228431
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3174
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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