A study on customer’s preference toward summer-shirt fabric

Zhao, Yu; Yin, Lin; İkiz, Yüksel; Satô, Tetsuya; Yu, Qiuyu; Zu-fang, Zhang; Zhu, Kai-Rong; Li, Qing

doi:10.1177/1558925020902975

Cited by 7 publications

(8 citation statements)

References 22 publications

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“…Moody, Kinderman, and Sinha [32] conducted an experiment to investigate clothing preference by asking participants to view different clothing styles and then select their preferred ones. In another study, Zhao et al [33] investigated summer shirt fabric preferences and their characteristics-the influence of gender, visual, and tactile influence on fabric preference. They found that visual details were essential factors influencing customer preferences.…”

Section: Toward E-commerce: Visual Perception Of Fabric Structurementioning

confidence: 99%

Assessment and Semantic Categorization of Fabric Visual Texture Preferences

Kodžoman

Hladnik

Čuden

et al. 2022

AUTEX Research Journal

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The texture of a fabric can be perceived by the haptic and visual senses. Visual texture can be defined as a visual quality of a surface. It is an important phenomenon because it can be significant in many fields, such as textile design and e-commerce. At the same time, when we consider the semantics of the word, it is important to take into account that there are a variety of manifestations of fabrics (e.g., woven, knitted, etc.). The mechanism of visual texture perception of fabrics was investigated by measuring visual evaluation values. In our experiment, 12 textile samples with different surface textures are evaluated using thirty-four adjectives (Kansei words). For each visual texture, the adjectives with the highest mean ratings are extracted and analyzed. By using Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), we aimed to discover and determine preferences for the visual texture of fabrics. The result is a semantic explanation of fabric texture with the adjectives proposed, which can help customers to evaluate the quality of the textile.

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Section: Toward E-commerce: Visual Perception Of Fabric Structurementioning

confidence: 99%

Assessment and Semantic Categorization of Fabric Visual Texture Preferences

Kodžoman

Hladnik

Čuden

et al. 2022

AUTEX Research Journal

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“…Colour is an essential visual stimulus which influences people's cognition, reaction and behaviour and has a profound impact on fashion design [10,11]. Fabric colour characteristics have been assessed for their role in fashion product preference [6][7][8][9][12][13][14]. As online shopping is becoming more and more popular, the dependence on product images is increasing in importance, and effort has been made in these studies on the preference evaluation using fabric images.…”

Section: Introductionmentioning

confidence: 99%

“…In practice, the appearance of an object contains not only colour, but also other visual stimuli, such as texture. Previous studies showed that texture affects human perception when the judgement of the real products and the product images needs to be made [12,14], and objective measurement results of the colour [15]. It is, therefore, not enough to assess the sole role of colour in preference judgement.…”

Section: Introductionmentioning

confidence: 99%

“…With the popularity of online shopping, fabric images have been used as samples in the studies of fabric colour, and the effect of texture was also evaluated in many studies. Previous studies evaluated the importance of visual systems in fabric preference, and the results showed that the presence of fabric structure affected observer preference of fabric samples [14]. Moreover, it has been found that the texture strength can decrease the visual colour difference of paired fabric images compared with that of solid colour pairs, which was evaluated by the grey scale method from the perspective of observer perception [16].…”

Section: Introductionmentioning

confidence: 99%

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The Role of Colour and Texture on Fabric Image Preference

Li,

Xiao,

Pointer

et al. 2023

cic

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Colour and texture characteristics convey most of the information of an image and influence human perception as contributing factors to perceived preference. How the colour, together with the texture characteristics affects fabric image preference is not fully understood. In the present study, we firstly took texture characteristics from the perspective of image analysis techniques into consideration to evaluate the role of colour and texture in fabric image preference. The results showed that, even though colour characteristics play an important role, the addition of texture features, lead to better predictive performance in the evaluation of fabric image preference using machine learning techniques.

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“…3 Typical Chinese women's apparel, such as the ruqun, has been mentioned in designing the kimono and hanbok, 4 and realistic flower patterns and traditional embroidery design processes have also been considered in the pattern design in several well-known apparel brands, such as Valentino and Elie Saab. 5 Besides, Chinese women's apparel elements, such as straight sleeves, round collars and straight-line silhouettes, are well received in Western women's apparel and accessories 6 ; in particular, brands such as Yves Saint Laurent and D&G like to use these Chinese elements. 5 The above worldwide influence of Chinese women's apparel and accessories shows their international reputation and indicates the degree of Chinese culture contributing to this developing world.…”

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confidence: 99%

Measurement and prediction of the international reputation of Chinese women’s apparel and accessories

Cheng

Zhou

Zhao

2022

Textile Research Journal

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Chinese women’s apparel and accessories have been often mentioned by other countries in history and nowadays, and the underlying culture along with these apparel and accessories contributes to this developing world to some extent. The assessment of the international reputation for these kinds of apparel and accessories is important for better understanding the worldwide cultural exchange, globalization, social development and so on; however, it remains unknown. This study presents a work with the overall objective to measure and predict the international reputation of Chinese women’s apparel and accessories. To reach this objective, the study first proposes a data mining procedure to use online query volume data from the Google Ngram corpus to construct a reputation index in order to measure the international reputation of Chinese women’s apparel and accessories. Then, by establishing a series of socio-economic and political determinants associated with the international reputation of Chinese women’s apparel and accessories, several forms of support vector machine based models are developed, aiming to predict their international reputation. There are two contributions out of this work: (1) presenting the first ever large-scale quantitative examination of the trend and measurement of the international reputation of Chinese women's apparel and accessories, which provides a new method to identify the dynamic transition of sociocultural development; (2) constructing a quantitative model to predict the international reputation of Chinese women's apparel and accessories, which generalizes an implication to understand the other sociocultural object and its impact factors.

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A study on customer’s preference toward summer-shirt fabric

Cited by 7 publications

References 22 publications

Assessment and Semantic Categorization of Fabric Visual Texture Preferences

Assessment and Semantic Categorization of Fabric Visual Texture Preferences

The Role of Colour and Texture on Fabric Image Preference

Measurement and prediction of the international reputation of Chinese women’s apparel and accessories

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