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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Fformat: | Journal Article |
Iaith: | English |
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2021
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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. |
first_indexed | 2024-10-01T07:10:15Z |
format | Journal Article |
id | ntu-10356/147684 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:10:15Z |
publishDate | 2021 |
record_format | dspace |
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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