A hybrid consumer-oriented model for product affective design: An aspect of visual ergonomics

Yang-Cheng Lin, Chun Chun Wei

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Crucial issues for product designers include how to capture consumers’ attention, evoke their pleasurable preferences, and affect their purchase decisions. In this article, we focus on consumers’ affective preferences in relation to visual ergonomics to propose a new hybrid consumer-oriented model using gray relational analysis (GRA), gray prediction (GP), and the technique for order preference by similarity to ideal solution (TOPSIS). The GRA is used to identify the most influential elements of the product form to help product designers focus their attention more on these elements without compromising the predictive performance. The GP is used in conjunction with the GRA to obtain a better structure for the hybrid consumer-oriented model, and TOPSIS is performed to determine the optimal alternatives for best matching consumers’ affective preferences. These experimental results show that the new hybrid consumer-oriented model incorporated with the CAD/CAM system can facilitate the product affective design process.

Original languageEnglish
Pages (from-to)17-29
Number of pages13
JournalHuman Factors and Ergonomics In Manufacturing
Volume27
Issue number1
DOIs
Publication statusPublished - 2017 Jan 1

Fingerprint

Ergonomics
Product design
ergonomics
Computer aided manufacturing
Computer aided design
Computer systems
CAM
CAD
purchase
performance

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Industrial and Manufacturing Engineering

Cite this

@article{8bf444d88b0f40c89262060f9e3ee7ba,
title = "A hybrid consumer-oriented model for product affective design: An aspect of visual ergonomics",
abstract = "Crucial issues for product designers include how to capture consumers’ attention, evoke their pleasurable preferences, and affect their purchase decisions. In this article, we focus on consumers’ affective preferences in relation to visual ergonomics to propose a new hybrid consumer-oriented model using gray relational analysis (GRA), gray prediction (GP), and the technique for order preference by similarity to ideal solution (TOPSIS). The GRA is used to identify the most influential elements of the product form to help product designers focus their attention more on these elements without compromising the predictive performance. The GP is used in conjunction with the GRA to obtain a better structure for the hybrid consumer-oriented model, and TOPSIS is performed to determine the optimal alternatives for best matching consumers’ affective preferences. These experimental results show that the new hybrid consumer-oriented model incorporated with the CAD/CAM system can facilitate the product affective design process.",
author = "Yang-Cheng Lin and Wei, {Chun Chun}",
year = "2017",
month = "1",
day = "1",
doi = "10.1002/hfm.20403",
language = "English",
volume = "27",
pages = "17--29",
journal = "Human Factors and Ergonomics In Manufacturing",
issn = "1090-8471",
publisher = "John Wiley and Sons Inc.",
number = "1",

}

A hybrid consumer-oriented model for product affective design : An aspect of visual ergonomics. / Lin, Yang-Cheng; Wei, Chun Chun.

In: Human Factors and Ergonomics In Manufacturing, Vol. 27, No. 1, 01.01.2017, p. 17-29.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A hybrid consumer-oriented model for product affective design

T2 - An aspect of visual ergonomics

AU - Lin, Yang-Cheng

AU - Wei, Chun Chun

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Crucial issues for product designers include how to capture consumers’ attention, evoke their pleasurable preferences, and affect their purchase decisions. In this article, we focus on consumers’ affective preferences in relation to visual ergonomics to propose a new hybrid consumer-oriented model using gray relational analysis (GRA), gray prediction (GP), and the technique for order preference by similarity to ideal solution (TOPSIS). The GRA is used to identify the most influential elements of the product form to help product designers focus their attention more on these elements without compromising the predictive performance. The GP is used in conjunction with the GRA to obtain a better structure for the hybrid consumer-oriented model, and TOPSIS is performed to determine the optimal alternatives for best matching consumers’ affective preferences. These experimental results show that the new hybrid consumer-oriented model incorporated with the CAD/CAM system can facilitate the product affective design process.

AB - Crucial issues for product designers include how to capture consumers’ attention, evoke their pleasurable preferences, and affect their purchase decisions. In this article, we focus on consumers’ affective preferences in relation to visual ergonomics to propose a new hybrid consumer-oriented model using gray relational analysis (GRA), gray prediction (GP), and the technique for order preference by similarity to ideal solution (TOPSIS). The GRA is used to identify the most influential elements of the product form to help product designers focus their attention more on these elements without compromising the predictive performance. The GP is used in conjunction with the GRA to obtain a better structure for the hybrid consumer-oriented model, and TOPSIS is performed to determine the optimal alternatives for best matching consumers’ affective preferences. These experimental results show that the new hybrid consumer-oriented model incorporated with the CAD/CAM system can facilitate the product affective design process.

UR - http://www.scopus.com/inward/record.url?scp=84989360818&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84989360818&partnerID=8YFLogxK

U2 - 10.1002/hfm.20403

DO - 10.1002/hfm.20403

M3 - Article

AN - SCOPUS:84989360818

VL - 27

SP - 17

EP - 29

JO - Human Factors and Ergonomics In Manufacturing

JF - Human Factors and Ergonomics In Manufacturing

SN - 1090-8471

IS - 1

ER -