Garment Sizes in Perception of Body Size

Fan, Jintu; Newton, E.; Lau, L.; Liu, Fu

doi:10.2466/pms.2003.96.3.875

Cited by 12 publications

(6 citation statements)

References 9 publications

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“…This suggests that female attractiveness can be enhanced by modifying the perception of body volume without changing the body mass. Past work (Fan, Newton, Lau, & Liu, 2003;Fu, Fan, & Lau, 2006) already showed that body image (a perception of body size) can be modified by wearing garments of different fit. Garment style and design can therefore influence the perception of body volume and hence the perception of attractiveness.…”

Section: Bm1 Volume-hezght Index Body Attractzvencss Ratzngmentioning

confidence: 99%

Effects of Shape Parameters on the Attractiveness of a Female Body

et al. 2007

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Various researchers have suggested that certain anthropometric ratios can be used to measure female body attractiveness, including the waist to hip ratio, Body Mass Index (BMI), and the body volume divided by the square of the height (Volume-Height Index). Based on a wide range of female subjects and virtual images of bodies with different ratios, Volume-Height Index was found to provide the best fit with female body attractiveness, and the effect of Volume-Height Index can be fitted with two half bell-shaped exponential curves with an optimal Volume-Height Index at 14.2 liter/m2. It is suggested that the general trend of the effect of Volume-Height Index may be culturally invariant, but the optimal value of Volume-Height Index may vary from culture to culture. In addition to Volume-Height Index, other body parameters or ratios which reflect body proportions and the traits of feminine characteristics had smaller but significant effects on female body attractiveness, and such effects were stronger at optimum Volume-Height Index.

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Section: Bm1 Volume-hezght Index Body Attractzvencss Ratzngmentioning

confidence: 99%

Effects of Shape Parameters on the Attractiveness of a Female Body

et al. 2007

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“…As the trend of product development is changing towards being consumer-oriented, the application of Kansei engineering in the field of fashion is also gradually increasing. At present, the research of clothing consumption perception mainly focuses on the style elements such as suits [11], shirts [12], professional female vests [13], as well as clothing fabrics [14][15][16], colors [17] and size [18][19]. However, there are few perceptual studies on clothing patterns.…”

Section: Introductionmentioning

confidence: 99%

Research on the image design of clothing patterns

Chen,

Cheng

2024

Fibres &Amp; Textiles in Eastern Europe

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In order to solve the problem of mismatch between consumers’ personalized needs and clothing pattern design, a method of clothing pattern image design was proposed based on Kansei engineering theory to obtain a perceptual consumer image. Then, a correlation model between clothing pattern design elements and perceptual images of young people was established through the quantitation theory type I, and the mapping relationship between the two and the degree of influence on consumer preference was presented by the diagram method. The paper-cut pattern of a T shirt is taken as an example to verify the feasibility of this research method. The results show that it not only provides designers with clear design indicators and references, but also makes the design process more objective and scientific.

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“…Although previous research identified some body ratios [e.g., body mass index (BMI), waist-hip ratio (WHR), and volume-height index (VHI)] and garment measurements which are potentially related to body image perception [16][17][18][19][20][21][22], no systematic quantitative relationship has been established to provide effective guidelines for customized apparel pattern making for body image enhancement.…”

Section: Introductionmentioning

confidence: 99%

Tailoring Garment Fit for Personalized Body Image Enhancement: Insights from Digital Fitting Research

Li,

Su,

Liang

et al. 2024

JTAER

Self Cite

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In the context of the Fashion Apparel Industry 4.0, a transformative evolution is directed towards the Online Apparel Mass Customization (OAMC) strategy, which provides efficient and personalized apparel product solutions to consumers. A critical challenge within this customization process is the determination of sizes. While existing research addresses comfort evaluation in relation to wearer and garment fit, little attention has been given to how garment fit influences the wearer’s body image, which is also an important purchase consideration. This study investigates the impact of garment fit on the wearer’s body scale perception using quantitative research design. A digital dataset of avatars, clothed in varying sizes of T-shirts, were created for the body scale perception experiment, and an Artificial Neural Network (ANN) model was developed to predict the effect of T-shirt fit on body image. With only a small number of garments and body measurements as inputs, the ANN model can accurately predict the body scales of the clothed persons. It was found that the effect of apparel fit on body image varies depending on the wearer’s gender, body size, and shape. This model can be applied to enhance the online garment shopping experience with respect to personalized body image enhancement.

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Garment Sizes in Perception of Body Size

Cited by 12 publications

References 9 publications

Effects of Shape Parameters on the Attractiveness of a Female Body

Effects of Shape Parameters on the Attractiveness of a Female Body

Research on the image design of clothing patterns

Tailoring Garment Fit for Personalized Body Image Enhancement: Insights from Digital Fitting Research

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