Author: Tu, Xing
Title: A study of fashion aesthetics and evolution using web-based 3D models
Advisors: Liu, Wingsun (ITC)
Fan, Jintu (ITC)
Wu, Hong (ITC)
Degree: Ph.D.
Year: 2017
Subject: Hong Kong Polytechnic University -- Dissertations
Fashion -- History
Clothing and dress -- History
Clothing and dress
Department: Institute of Textiles and Clothing
Pages: xii, 152 pages : color illustrations
Language: English
Abstract: Fashion styles often catch on and become popular, but very rarely know about why and how styles of fashion clothes die out or disappear. Some fashion styles may come back in the future and some of them may die out. It seems intuitive that changes in adverting, technology, celebrity or institution lead old fashion style to be replaced with new ones (Rogers, 1995; Pesendorfer, 1995). These factors make it temping to infer that the decline of the old style to be replaced by the new one. Fashion cycle and evolution similar to vacancy chains (White, 1970), where new or popular items fill the vacuum left when old or unpopular items go off. To analyse the internal and external principle for fashion evolution, fashion evolution data have been taken from VOGUE magazine by counting different fashion styles appearance frequency. After data collected, survival analysis was applied to detect the relationship between adoption velocity and fashion evolution. The result shows that fashion adoption velocity quickly increased in popularity die faster. Fashion adoption velocity generally increased in popularity maintain their evolution cycle longer. To analyse the correlation with different fashion styles, factor analysis was applied, this analysis can categorized different fashion styles by common factors. From this study, it's clear that fashion style evolution can be categorized as different evolution models. The result shows that fashion styles might classified into 5 types of fashion evolution. External factors: function, sexual attractiveness, beauty and comfort are contribute to the fashion evolution. By using computer evolution system, the viewers were asked to rate for those external factors. According to the factor analysis, function and comfort are common in wearing factor; attractiveness and beauty are common in appearance factor. The data have been used for correlation analysis to find the correlation between wearing factor and appearance factor. The result shows those correlation highly influence on the popularity of certain types of clothes.
Rights: All rights reserved
Access: open access

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