Comparison of Two Quantitative Analysis Techniques to Predict the Evaluation of Product Form Design
Joint Authors
Chen, Hung-Yuan
Chang, Yu-Ming
Tung, Ting-Chun
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Consumer satisfaction with a product’s form plays an essential role in determining the likelihood of its commercial success.
A consumer perception-centered design approach is proposed in this study to aid product designers with incorporating consumers’ perceptions of product forms in the design process.
The consumer perception-centered design approach uses the linear modeling technique (multiple linear regression) and the nonlinear modeling technique (neural network) to determine the satisfying product form design for matching a given product image.
A series of experimental evaluations are conducted to collect evaluation results for examining the relationship between the automobile profile features and the consumers’ perceptions of the automobile image.
The result of predictive performance comparison shows that both the nonlinear neural network modeling technique and the multiple linear regression technique are comparably good for predicting the consumers’ likely response to a particular automobile profile since the predictive performance difference between the two modeling techniques is very slight in this study.
Although this study has chosen a 2D automobile profile for illustration purposes, the concept of the proposed approach is expansively applicable to 3D automotive form design or other consumer product forms.
American Psychological Association (APA)
Chen, Hung-Yuan& Chang, Yu-Ming& Tung, Ting-Chun. 2014. Comparison of Two Quantitative Analysis Techniques to Predict the Evaluation of Product Form Design. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1046589
Modern Language Association (MLA)
Chen, Hung-Yuan…[et al.]. Comparison of Two Quantitative Analysis Techniques to Predict the Evaluation of Product Form Design. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1046589
American Medical Association (AMA)
Chen, Hung-Yuan& Chang, Yu-Ming& Tung, Ting-Chun. Comparison of Two Quantitative Analysis Techniques to Predict the Evaluation of Product Form Design. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1046589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046589