Abstract:Whole-body scanning is increasingly used in the clothing industry, including in large-scale sizing surveys and virtual fitting. However, the impacts of 3D scanning on women's body satisfaction are unclear as no previous studies have investigated impacts in a controlled experiment. This experiment investigated any causal effect of 3D whole-body scanning, as used in clothing applications, on women's body satisfaction. Seventy women aged 18-35 years completed body image measures at baseline, immediately post-test… Show more
“…Body scanning is advantageous as it overcomes the subjective limitations of manual measurement methods, ensuring that physical measurements of the participants are reliable and reproducible (Reid et al, 2020). A visual inspection of all body scans was undertaken, and participants were rescanned if any issues were present to ensure validity, in line with Grogan et al (2019). The total duration of the procedure was approximately 10 min.…”
PurposeBody shape is a critical variable influencing consumers' garment choices (Zakaria, 2017), yet research investigating how UK females with varying body shapes evaluate and experience fit is limited. Moreover, while digital methods exist to classify female body shapes, application in a commercial setting is limited. To fill this gap within the literature, this study aims to understand the influence of body shape variation on garment fit evaluations of 30 UK females aged 18–34 years.Design/methodology/approachThis study conducts a physical garment try-on session whereby 30 UK females aged 18–34 years were body-scanned and categorised into a body shape, using the Female Figure Identification Technique method. Participants verbalised their fit experiences during a physical try-on session through semi-structured interviews to gain a deeper understanding of individuals' fit appraisals.FindingsThe findings demonstrate that UK females who share the same body shape classification experience the same issues when appraising dress fit, challenging Makhanya and Mabuza (2020) who found that body shape does not influence apparel fit satisfaction. The results shed light on the importance of body shape during the fit appraisal process.Research limitations/implicationsDespite the contribution, future research to improve the limitations should be addressed. First, although it was necessary to investigate a UK demographic to address research gaps, the finding of this study cannot be generalised to the entire UK female population nor to other areas of the world. Hence, future research should overcome this limitation by extending this study further to other countries, cultures and ethnicities.Practical implicationsThe findings of the present study shed light on the role of body shape in determining satisfactory clothing fit and how females' fit experiences will differ depending on their body shape classification. Thus, fashion retailers should use this insight to better inform their promotional strategies, not only making them more inclusive but also to help assist this particular consumer segment with their clothing decisions based on their body shape.Originality/valueThe present study provides an in-depth understanding of how females with the same body shape experience garment fit, contributing novel findings to the literature through a mixed-method inquiry previously lacking in this area, with a UK demographic which has not previously been explored.
“…Body scanning is advantageous as it overcomes the subjective limitations of manual measurement methods, ensuring that physical measurements of the participants are reliable and reproducible (Reid et al, 2020). A visual inspection of all body scans was undertaken, and participants were rescanned if any issues were present to ensure validity, in line with Grogan et al (2019). The total duration of the procedure was approximately 10 min.…”
PurposeBody shape is a critical variable influencing consumers' garment choices (Zakaria, 2017), yet research investigating how UK females with varying body shapes evaluate and experience fit is limited. Moreover, while digital methods exist to classify female body shapes, application in a commercial setting is limited. To fill this gap within the literature, this study aims to understand the influence of body shape variation on garment fit evaluations of 30 UK females aged 18–34 years.Design/methodology/approachThis study conducts a physical garment try-on session whereby 30 UK females aged 18–34 years were body-scanned and categorised into a body shape, using the Female Figure Identification Technique method. Participants verbalised their fit experiences during a physical try-on session through semi-structured interviews to gain a deeper understanding of individuals' fit appraisals.FindingsThe findings demonstrate that UK females who share the same body shape classification experience the same issues when appraising dress fit, challenging Makhanya and Mabuza (2020) who found that body shape does not influence apparel fit satisfaction. The results shed light on the importance of body shape during the fit appraisal process.Research limitations/implicationsDespite the contribution, future research to improve the limitations should be addressed. First, although it was necessary to investigate a UK demographic to address research gaps, the finding of this study cannot be generalised to the entire UK female population nor to other areas of the world. Hence, future research should overcome this limitation by extending this study further to other countries, cultures and ethnicities.Practical implicationsThe findings of the present study shed light on the role of body shape in determining satisfactory clothing fit and how females' fit experiences will differ depending on their body shape classification. Thus, fashion retailers should use this insight to better inform their promotional strategies, not only making them more inclusive but also to help assist this particular consumer segment with their clothing decisions based on their body shape.Originality/valueThe present study provides an in-depth understanding of how females with the same body shape experience garment fit, contributing novel findings to the literature through a mixed-method inquiry previously lacking in this area, with a UK demographic which has not previously been explored.
“…This would make it easier for consumers to buy online clothes that are much better suited to their body shapes, and it would allow manufacturers to reduce the costs associated with returns and production of garments remaining in warehouses due to poor matching of sizes to the current body shape of buyers. An updated base of sizes would also have a positive impact on environmental protection due to lower waste production [41].…”
“According to Lingaro’s analysis, the return of a product generates 5 times more CO2 than the purchase itself. Thus, the optimization of online e-commerce purchasing processes is a serious challenge not only for business, but mainly for the protection of the environment and our global health.” Presentation of textiles and clothing in e-commerce in Poland has remained unchanged since the beginning of e-commerce (the setup of Allegro auction site in the early 2000s) until now with little exceptions of new technology trends powered by EU funds. In Poland, WearFits introduces an R&D solution in the form of a virtual fitting room presented in augmented reality (AR) view to decrease returns of textile clothing bought online. It uses an avatar of human size and shape of the customer’s body for fitting the three-dimensional models in AR view. The purpose of the article is to review the state of the art of presentation of clothing textiles in e-commerce in the world and in Poland for selling textiles online and to emphasize the problem of size matching in the context of returns.
“…This can be called a mixed method or a hybrid method. Examples of the use of such a method are: a woman's folk costume from the Gorenje region (Blender program was used) [28], 3D scanning of the female body in the context of applications in the clothing industry [29], generation of avatar elements (head and body) based on data from scanning 3D and measurements as well as 3D modeling of clothes on the basis of physical, spatial and external information [30], scanning of mannequin torsos to properly reproduce various figures of figures on which manually modeled outfits were placed [31], 3D simulation of historical costumes modeled manually on avatars [32]. The most frequently described and at the same time used technique of 3D digitisation of historical costumes are passive methods: photogrammetry and SfM (Structure from Motion), the fundamental (fundamental) theoretical basis of which can be found in [33].…”
Section: D Scanning Technologies and Photogrammetrymentioning
Historical costumes are part of cultural heritage. Unlike architectural monuments, they are very fragile, which exacerbates the problems of their protection and popularisation. A big help in this can be the digitisation of their appearance, preferably using modern techniques of three-dimensional representation (3D). The article presents the results of the search for examples and methodologies of implementing 3D scanning of exhibited historical clothes as well as the attendant problems. From a review of scientific literature it turns out that so far practically no one in the world has made any methodical attempts at scanning historical clothes using structured-light 3D scanners (SLS) and developing an appropriate methodology. The vast majority of methods for creating 3D models of clothes used photogrammetry and 3D modelling software. Therefore, an innovative approach was proposed to the problem of creating 3D models of exhibited historical clothes through their digitalisation by means of a 3D scanner using structural light technology. A proposal for the methodology of this process and concrete examples of its implementation and results are presented. The problems related to the scanning of 3D historical clothes are also described, as well as a proposal how to solve them or minimise their impact. The implementation of the methodology is presented on the example of scanning elements of the Emir of Bukhara's costume (Uzbekistan) from the end of the nineteenth century, consisting of the gown, turban and shoes. Moreover, the way of using 3D models and information technologies to popularise cultural heritage in the space of digital resources is also discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.