Consumer oriented design of product forms

Yang-Cheng Lin, Hsin Hsi Lai, Chung Hsing Yeh

Research output: Contribution to journalArticle

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
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)
Volume3174
Publication statusPublished - 2004 Dec 1

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Product Form
Neural networks
Mobile phones
Neural Network Model
Mobile Phone
Linking
Design
Experimental Study
Form
Evaluate
Evaluation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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Consumer oriented design of product forms. / Lin, Yang-Cheng; Lai, Hsin Hsi; Yeh, Chung Hsing.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3174, 01.12.2004, p. 898-903.

Research output: Contribution to journalArticle

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