Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80285
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dc.contributor.authorJiang, QLen_US
dc.contributor.authorChen, LCen_US
dc.contributor.authorYang, Cen_US
dc.contributor.authorZhang, Jen_US
dc.date.accessioned2019-01-30T09:14:39Z-
dc.date.available2019-01-30T09:14:39Z-
dc.date.issued2018-
dc.identifier.citationSustainability, Oct. 2018, v. 10, no. 10, 3739, p. 1-18en_US
dc.identifier.urihttp://hdl.handle.net/10397/80285-
dc.description.abstractThe market economy has shifted the decision-making power of the garment industry from the enterprise to the consumer. Research on consumer clothing preferences is an essential part of sustainable development of the garment industry. Based on data statistics from eight fast fashion brands, black and white are most commonly used in two-color plaid shirts. This paper carried out a psychophysical experiment to investigate factors affecting pattern preferences for black-and-white shirts and the differences and similarities between male and female pattern preferences. Twenty-eight different representative patterns of plaid shirts were selected by five fashion designers together from 190 different black-and-white plaid shirts from eight fast fashion brands, which were then classified into three categories: gingham, tartans, and windowpane. Based on these patterns, 28 male and female shirts were simulated in three dimensions and presented on a calibrated computer display. The simulations were assessed by 42 observers (consisting of 21 males and 21 females) in terms of four semantic scales, including light-dark, delicate-rough, simple-complex, and like-dislike. The experimental results revealed that there was no significant difference of pattern preference between females and males for 89.29% of the black-and-white plaid shirts, and also described features of the patterns that the females and males liked or disliked. Furthermore, the study also demonstrated the formulation between the four semantic scales and three pattern features (including the percentage of black region, the size of the minimum repeat unit, and the descriptor of the pattern complexity). The findings could be used to develop a more robust and comprehensive theory of pattern preferences and provide a reference for pattern design for black-and-white plaid shirts. More comprehensive pattern preference theory is not only an effective tool to solve the problem of plaid shirt inventory in the garment industry but also an important theoretical basis for the "sustainable design" of clothing, which is of great significance to the sustainable development of the garment industry.en_US
dc.description.sponsorshipInstitute of Textiles and Clothingen_US
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.relation.ispartofSustainabilityonline onlyen_US
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Jiang, Q.L., Chen, L.C., Yang, C., & Zhang, J. (2018). Pattern preference analysis of black-and-white plaid shirts. Sustainability, 10 (10), 3739, p. 1-18 is available at https://dx.doi.org/10.3390/su10103739en_US
dc.subjectPattern preferenceen_US
dc.subjectPlaid shirtsen_US
dc.subjectPattern categoriesen_US
dc.titlePattern preference analysis of black-and-white plaid shirtsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage18-
dc.identifier.volume10-
dc.identifier.issue10-
dc.identifier.doi10.3390/su10103739-
dc.identifier.isiWOS:000448559400381-
dc.identifier.scopus2-s2.0-85055054237-
dc.identifier.eissn2071-1050-
dc.identifier.artn3739-
dc.description.validate201901 bcrc-
dc.description.oapublished_final-
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