Information Retrieval and Survey Design for Two-Stage Customer Preference Modeling

Y. Xiao, Y. Cui, N. Raut, J. H. Januar, J. Koskinen, N. Contractor, W. Chen, Z. Sha*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Customer survey data is critical to supporting customer preference modeling in engineering design. We present a framework of information retrieval and survey design to ensure the collection of quality customer survey data for analyzing customers' preferences in their consideration-then-choice decision-making and the related social impact. The utility of our approach is demonstrated through the survey design for customers in the vacuum cleaner market. Based on the data, we performed descriptive analysis and network-based modeling to understand customers' preferences in consideration and choice.

Original languageEnglish (US)
Pages (from-to)811-820
Number of pages10
JournalProceedings of the Design Society
Volume2
DOIs
StatePublished - May 2022
Event17th International Design Conference, DESIGN 2022 - Virtual, Online, Croatia
Duration: May 23 2022May 26 2022

Keywords

  • customer integration methods
  • customer preference analysis
  • data-driven design
  • information retrieval

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Software
  • Modeling and Simulation

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