Neural networks for optimal form design of personal digital assistants

Chen Cheng Wang, Yang Cheng Lin, Chung Hsing Yeh

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

3 Citations (Scopus)

Abstract

This paper presents a neural network (NN) approach to determining the optimal form design of personal digital assistants (PDAs) that best matches a given set of product images perceived by consumers. 32 representative PDAs and 9 design form elements of PDAs are identified as samples in an experimental study to illustrate how the approach works. Four NN models are built with different hidden neurons in order to examine how a particular combination of PDA form elements matches the desirable product images. The performance evaluation result shows that the number of hidden neurons has no significant effect on the predictive ability of the four NN models. The NN models can be used to construct a form design database for supporting form design decisions in a new PDA product development process.

Original languageEnglish
Title of host publicationAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages647-654
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2009 Sep 21
Event15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand
Duration: 2008 Nov 252008 Nov 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Neuro-Information Processing, ICONIP 2008
CountryNew Zealand
CityAuckland
Period08-11-2508-11-28

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Wang, C. C., Lin, Y. C., & Yeh, C. H. (2009). Neural networks for optimal form design of personal digital assistants. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers (PART 1 ed., pp. 647-654). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-02490-0_79