Quantification of perceptual design attributes using a crowd

Yi Ren, Alex Burnap, Panos Papalambros

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

16 Scopus citations

Abstract

Crowdsourcing processes can be used for design concept creation and evaluation. They also provide opportunities to study and model quantitatively how humans deal with design problems. This paper explores the use of crowdsourcing to evaluate a perceptual design attribute and to create new design concepts using this attribute. As an example, we study how perceived automobile car safety can be modeled with respect to exterior car shape design using an efficient statistical learning algorithm. Experiments with subjects using Amazon's Mechanical Turk uncover several practical issues that must be addressed when applying machine learning methods to create safe-looking car designs using crowdsourced input.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th International Conference on Engineering Design
Subtitle of host publicationDesign for Harmonies, ICED 2013
Pages139-148
Number of pages10
Volume6 DS75-06
StatePublished - Dec 1 2013
Externally publishedYes
Event19th International Conference on Engineering Design, ICED 2013 - Seoul, Korea, Republic of
Duration: Aug 19 2013Aug 22 2013

Other

Other19th International Conference on Engineering Design, ICED 2013
CountryKorea, Republic of
CitySeoul
Period8/19/138/22/13

Keywords

  • Design crowdsourcing
  • Human-computer interaction
  • Preference learning

ASJC Scopus subject areas

  • Modeling and Simulation
  • Engineering (miscellaneous)
  • Industrial and Manufacturing Engineering

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  • Cite this

    Ren, Y., Burnap, A., & Papalambros, P. (2013). Quantification of perceptual design attributes using a crowd. In Proceedings of the 19th International Conference on Engineering Design: Design for Harmonies, ICED 2013 (Vol. 6 DS75-06, pp. 139-148)