Quantification of perceptual design attributes using a crowd

Yi Ren, Alex Burnap, Panos Papalambros

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

16 Citations (Scopus)

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 International Conference on Engineering Design, ICED
Pages139-148
Number of pages10
Volume6 DS75-06
StatePublished - 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

Fingerprint

Quantification
Attribute
Railroad cars
Shape Design
Statistical Learning
Automobile
Learning Algorithm
Machine Learning
Learning algorithms
Safety
Automobiles
Learning systems
Design
Evaluate
Evaluation
Experiment
Experiments
Concepts
Model

Keywords

  • Design crowdsourcing
  • Human-computer interaction
  • Preference learning

ASJC Scopus subject areas

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

Cite this

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

Quantification of perceptual design attributes using a crowd. / Ren, Yi; Burnap, Alex; Papalambros, Panos.

Proceedings of the International Conference on Engineering Design, ICED. Vol. 6 DS75-06 2013. p. 139-148.

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

Ren, Y, Burnap, A & Papalambros, P 2013, Quantification of perceptual design attributes using a crowd. in Proceedings of the International Conference on Engineering Design, ICED. vol. 6 DS75-06, pp. 139-148, 19th International Conference on Engineering Design, ICED 2013, Seoul, Korea, Republic of, 8/19/13.
Ren Y, Burnap A, Papalambros P. Quantification of perceptual design attributes using a crowd. In Proceedings of the International Conference on Engineering Design, ICED. Vol. 6 DS75-06. 2013. p. 139-148
Ren, Yi ; Burnap, Alex ; Papalambros, Panos. / Quantification of perceptual design attributes using a crowd. Proceedings of the International Conference on Engineering Design, ICED. Vol. 6 DS75-06 2013. pp. 139-148
@inproceedings{e999b3f87018421d85c75ea135ba1b3b,
title = "Quantification of perceptual design attributes using a crowd",
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 = "Design crowdsourcing, Human-computer interaction, Preference learning",
author = "Yi Ren and Alex Burnap and Panos Papalambros",
year = "2013",
language = "English (US)",
isbn = "9781904670490",
volume = "6 DS75-06",
pages = "139--148",
booktitle = "Proceedings of the International Conference on Engineering Design, ICED",

}

TY - GEN

T1 - Quantification of perceptual design attributes using a crowd

AU - Ren, Yi

AU - Burnap, Alex

AU - Papalambros, Panos

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Design crowdsourcing

KW - Human-computer interaction

KW - Preference learning

UR - http://www.scopus.com/inward/record.url?scp=84897630564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84897630564&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84897630564

SN - 9781904670490

VL - 6 DS75-06

SP - 139

EP - 148

BT - Proceedings of the International Conference on Engineering Design, ICED

ER -