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Quantification of perceptual design attributes using a crowd

Quantification of perceptual design attributes using a crowd

Year: 2013

Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini

Author: Ren, Yi; Burnap, Alex; Papalambros, Panos

Series: ICED

Institution: University of Michigan, United States of America

Pages: 139-148

ISBN: 978-1-904670-49-0

ISSN: 2220-4334

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.

Keywords: Preference learning, human-computer interaction, design crowdsourcing

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ds conferenceICED13: 19th International Conference on Engineering Design

ICED13: 19th International Conference on Engineering DesignThe 19th International Conference on Engineering Deisgn (ICED13) will for the first time take place in Asia: ICED13 on 19-22 August 2013 at Sungkyunkwan University, Seoul, Korea The ICED13 motto is: "Design for Harmonies" - Harmony of Products and Services - Harmony of Old and New - Harmony of Culture and Technology - Harmony of East and West The conference chair is Prof. Yong Se Kim of the Creative Design Institute at Sungkyunkwan University. Important dates are: Call for Papers:...

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Keywords
Design 2010