A product configuration analysis method for emotional design using a personal construct theory

Identifying emotion-related product attributes (perceived by consumers) is no easy task in the realm of emotional design. Conventionally, this process relies heavily on the researchers who conduct the Kansei experiments selecting product attributes such as color, form, and texture for Kansei studies...

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Prif Awduron: Huang, Yuexiang, Chen, Chun-Hsien, Wang I., Khoo L.
Awduron Eraill: School of Mechanical and Aerospace Engineering
Fformat: Journal Article
Iaith:English
Cyhoeddwyd: 2021
Pynciau:
Mynediad Ar-lein:https://hdl.handle.net/10356/147684
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author Huang, Yuexiang
Chen, Chun-Hsien
Wang I.
Khoo L.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Huang, Yuexiang
Chen, Chun-Hsien
Wang I.
Khoo L.
author_sort Huang, Yuexiang
collection NTU
description Identifying emotion-related product attributes (perceived by consumers) is no easy task in the realm of emotional design. Conventionally, this process relies heavily on the researchers who conduct the Kansei experiments selecting product attributes such as color, form, and texture for Kansei studies. However, in so doing, other product attributes that also play a vital role in product-emotion associations might be neglected by the researchers. More importantly, the identification of product attributes should be based on consumer's point of view (and feelings). Accordingly, a personal construct theory based product configuration analysis method is proposed in this work. The method develops the customer's mind map for each Kansei tag in order to capture replications of candidate products. A means-value chain is used to generate targets which are later compared with candidate products by consumers. The comparison results could suggest product attributes that are relevant to the desired Kansei. The proposed approach is presented and illustrated using a case study of Graffiti designs on notebooks. Results obtained are discussed. It appears that the proposed method is promising in identifying product attributes with desired Kansei impacts. Relevance to industry: This study presents a method to address product attributes with emotional impacts in new product development. It appears that the proposed method can be utilized to analyze product configurations according to consumers' Kansei needs as well as to facilitate decision-making in practical industrial design cases.
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spelling ntu-10356/1476842021-04-09T01:38:51Z A product configuration analysis method for emotional design using a personal construct theory Huang, Yuexiang Chen, Chun-Hsien Wang I. Khoo L. School of Mechanical and Aerospace Engineering School of Art, Design and Media Engineering::Mechanical engineering Personal Construct Theory Means-value Chain Identifying emotion-related product attributes (perceived by consumers) is no easy task in the realm of emotional design. Conventionally, this process relies heavily on the researchers who conduct the Kansei experiments selecting product attributes such as color, form, and texture for Kansei studies. However, in so doing, other product attributes that also play a vital role in product-emotion associations might be neglected by the researchers. More importantly, the identification of product attributes should be based on consumer's point of view (and feelings). Accordingly, a personal construct theory based product configuration analysis method is proposed in this work. The method develops the customer's mind map for each Kansei tag in order to capture replications of candidate products. A means-value chain is used to generate targets which are later compared with candidate products by consumers. The comparison results could suggest product attributes that are relevant to the desired Kansei. The proposed approach is presented and illustrated using a case study of Graffiti designs on notebooks. Results obtained are discussed. It appears that the proposed method is promising in identifying product attributes with desired Kansei impacts. Relevance to industry: This study presents a method to address product attributes with emotional impacts in new product development. It appears that the proposed method can be utilized to analyze product configurations according to consumers' Kansei needs as well as to facilitate decision-making in practical industrial design cases. 2021-04-09T01:38:51Z 2021-04-09T01:38:51Z 2014 Journal Article Huang, Y., Chen, C., Wang I. & Khoo L. (2014). A product configuration analysis method for emotional design using a personal construct theory. International Journal of Industrial Ergonomics, 44(1), 120-130. https://dx.doi.org/10.1016/j.ergon.2013.11.005 0169-8141 https://hdl.handle.net/10356/147684 10.1016/j.ergon.2013.11.005 2-s2.0-84890737217 1 44 120 130 en International Journal of Industrial Ergonomics © 2013 Elsevier B.V. All rights reserved.
spellingShingle Engineering::Mechanical engineering
Personal Construct Theory
Means-value Chain
Huang, Yuexiang
Chen, Chun-Hsien
Wang I.
Khoo L.
A product configuration analysis method for emotional design using a personal construct theory
title A product configuration analysis method for emotional design using a personal construct theory
title_full A product configuration analysis method for emotional design using a personal construct theory
title_fullStr A product configuration analysis method for emotional design using a personal construct theory
title_full_unstemmed A product configuration analysis method for emotional design using a personal construct theory
title_short A product configuration analysis method for emotional design using a personal construct theory
title_sort product configuration analysis method for emotional design using a personal construct theory
topic Engineering::Mechanical engineering
Personal Construct Theory
Means-value Chain
url https://hdl.handle.net/10356/147684
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