Consumer oriented design of product forms

Yang Cheng Lin, Hsin Hsi Lai, Chung Hsing Yeh

Research output: Contribution to journalArticle

7 Citations (Scopus)


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
Pages (from-to)898-903
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2004 Dec 1

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Consumer oriented design of product forms'. Together they form a unique fingerprint.

Cite this