Product form feature selection for mobile phone design using LS-SVR and ARD

Chih Chieh Yang, Meng Dar Shieh, Kuang Hsiung Chen, Pei Ju Lin

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

1 Citation (Scopus)

Abstract

In the product design field, it is important to pin point critical product form features (PFFs) that influence consumers' affective responses (CARs) of a product design. In this paper, an approach based on least squares support vector regression (LS-SVR) and automatic relevance determination (ARD) is proposed to streamline the task of product form feature selection (PFFS) according to the CAR data. The representation of PFFs is determined by morphological analysis and pairwise adjectives are used to express CARs. In order to gather the CAR data, an experiment of semantic differential (SD) evaluation on collected product samples was conducted. The LS-SVR prediction model can be constructed using the PFFs as input data and the evaluated SD scores as output value. The optimal parameters of the LS-SVR model are tuned by using Bayesian inference. Finally, an ARD selection process is used to analyze the relative relevance of PFFs to obtain feature ranking.

Original languageEnglish
Title of host publicationUniversal Access in Human-Computer Interaction
Subtitle of host publicationContext Diversity - 6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Proceedings
Pages102-111
Number of pages10
EditionPART 3
DOIs
Publication statusPublished - 2011 Jul 19
Event6th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2011, Held as Part of HCI International 2011 - Orlando, FL, United States
Duration: 2011 Jul 92011 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6767 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2011, Held as Part of HCI International 2011
CountryUnited States
CityOrlando, FL
Period11-07-0911-07-14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Yang, C. C., Shieh, M. D., Chen, K. H., & Lin, P. J. (2011). Product form feature selection for mobile phone design using LS-SVR and ARD. In Universal Access in Human-Computer Interaction: Context Diversity - 6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Proceedings (PART 3 ed., pp. 102-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6767 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-21666-4_12