Designing a product satisfaction model using customer segmentation and information consolidation

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

1 Citation (Scopus)

Abstract

This study proposes a prediction model, based on Kansei Engineering, which applies the concept of consumer segmentation and information consolidation. When constructing a mutual satisfaction model for each cluster, the extracted parameters showing different levels of consumer influence were then treated as retrieval data by applying Ordinal Regression (OR). This study also tried to construct a satisfaction model for a cluster of consumers instead of just focusing on an individual satisfaction model, which is less valuable in real-life situations. The combined application of Fuzzy C-means and Ordinal Regression are considered worth using as the data needed. The combined application is less complicated compared to other forms of numerical regression analysis. It is a great benefit to designers as it lessens the time required to explore consumer satisfaction data at the early stages of the design process.

Original languageEnglish
Title of host publicationDesign, User Experience, and Usability
Subtitle of host publicationUser Experience in Novel Technological Environments - Second International Conference, DUXU 2013, Held as Part of HCI International 2013, Proceedings
Pages568-577
Number of pages10
EditionPART 3
DOIs
Publication statusPublished - 2013 Aug 1
Event2nd International Conference on Design, User Experience, and Usability: User Experience in Novel Technological Environments, DUXU 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 212013 Jul 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8014 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Design, User Experience, and Usability: User Experience in Novel Technological Environments, DUXU 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period13-07-2113-07-26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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