A review of research and innovation in garment sizing, prototyping and fitting

Gill, Simeon

doi:10.1080/00405167.2015.1023512

Cited by 100 publications

(94 citation statements)

References 97 publications

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“…This concept is not unique to Virtual Fit platforms and is discussed further within these conference proceedings [36]. This finding agrees with Gill [18] as comparison between systems for Virtual Fit analysis shows the existence of different degrees of understanding of the potential variables in clothing fit. Moreover, the research by Ashdown and O'Connell [37] suggested customers do not possess full knowledgeable about what forms a good fit.…”

Section: Discussionsupporting

confidence: 74%

“…To achieve this, Virtual fit needs to be supported by a sound theoretical understanding of the relationships between shape, size, and fit [18]. As the public has limited understanding on classifying their own body shape [21], [22], Body Scanning has the potential to be a major facilitator in directing suitable garment fit.…”

Section: Discussionmentioning

confidence: 99%

“…Academic approaches about size and fit offer a good framework both for standardising practice and for developing the techniques for systematic assessment of fit against recognisable criteria. Gill [18], created a classification method where Virtual Fit platforms are classified as 1) size recommendation, 2) fit recommendation, and 3) fit visualisation. He further elaborated, that all models need familiarity with methods of determining fit, from anthropometric classification through to the direct engagement with fit visualisation tools.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Digital data, interactivity, and internet technology are changing the ways we interact in online shopping domain [16], [17]. In this domain, Virtual Fit technology has great potential to increase shopping engagement, enhance the product experience, and deliver better fitting garments [18].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Online Virtual Fit is not yet Fit for Purpose: An Analysis of Fashion e-Commerce Interfaces

Januszkiewicz¹,

Parker²,

Hayes³

et al. 2017

Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition On 3D Body Scanning and Processing Technologies,

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To unify the methodology of Virtual Fit platforms and allowing cross platform integration of 3D Body Scanning, the current Virtual Fit platforms need to be assessed in terms of their size recommendation approach and user interaction. Digital data, interactivity, and internet technology are changing the ways we interact in online shopping, with the Virtual Fit platforms having great potential to increase retail engagement and market share. This will support online purchasing activities while minimising the perceived risk in garment returns due to the poor sizing fit information.Current research has focused on the analysis of computer modelling techniques, avatars, cloth, fabric draping simulations, and customer behaviour / aesthetic impact in the online domain. From a technical perspective, these investigations offer an interesting insight, although do not address issues of implementation or customer attitude. Therefore, to judge the current and potential impact of such technologies, it is important to understand 1) how they are being enacted online, 2) the Interaction Design elements of the user journey, 3) the application (or lack thereof) of mathematical models, and 4) how such interfaces are embedded within websites. Once these four key questions have been answered a greater understanding of how 3D Body Scanning and Technologies integrated into eCommerce and Virtual Fit platforms in the consumer market may be reached.Through analysis of nine leading Virtual Fit platforms, the persona of a single female dress form was used to work through the customer journey. Through this, screen shot data captured along each stage in relation to the four research questions listed above. Following this, the study utilised content analysis structure with NVivo as a qualitative thematic analysis tool.This study found that despite a large number of platforms using virtual fit technology, only a handful companies exist that provide such technology and interfaces; often based upon subjective 'previous purchases' rather than scientific prediction. This issue is made more complicated in how subjective measures such as personal perception of one's body is required (e.g. what size are you), besides body shape; a concept shown to be 'broken' and not fit-for-purpose. In addition, many of the technologies use limited and often misinterpreted body measurements, the impact of which is explored in greater detail within the paper. This study contributes to the understanding of the information required from users by virtual fit platforms, and the understanding of the output as presented by virtual fit platforms. The research goal is to contribute to knowledge as a potential guideline for any future projects in virtual fit and to help direct body scanning developments to better support these platforms.

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Section: Discussionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

See 2 more Smart Citations

Online Virtual Fit is not yet Fit for Purpose: An Analysis of Fashion e-Commerce Interfaces

Januszkiewicz¹,

Parker²,

Hayes³

et al. 2017

Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition On 3D Body Scanning and Processing Technologies,

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“…There have been recent advances in the data possible to capture using body scanning [1], [11] and methods documented to generate patterns directly from scan data [12]- [14]. However, the creation of Proceedings of 3DBODY.TECH 2017 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal, Canada, 11-12 Oct. 2017 pattern blocks remains something almost exclusively done manually using 1D measurements, as has been the case from the start of the methods.…”

Section: Introductionmentioning

confidence: 99%

Not All Body Scanning Measurements Are Valid: Perspectives from Pattern Practice

Gill¹,

Ahmed²,

Parker³

et al. 2017

Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition On 3D Body Scanning and Processing Technologies,

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To assume all body scanning measurements are valid for apparel product development is wrong. While human measurement forms the basis for product development and body scanning represents a significant development in the collection of human measurements [1], a distinction must be drawn between measurements suitable for product development (pattern cutting) and those required for the creation of sizing systems. The application of body scanning has largely focused on sizing surveys [2], the standards used in developing the technology are tailored toward surveys [3], [4] and subsequently measurements are often not defined in a manner suitable to developing products. This research began with analysis of product development practices and body scanning outputs to determine the suitability of body scanning to support existing methods of product development. Six methods of pattern development, established from previous research to represent the variation of approaches [5]- [7] were selected, the measurements required for these methods were compared to measurement outputs from both a Size Stream and [TC] 2 body scanner. Further analysis was made regarding the development of custom measurements for each scan system, to see if extra measurements could be defined to match those required or enhance the data used to drive the draft process. Whilst there are promising developments in automated pattern creation [8], [9], there is little existing theory or clear understanding of pattern to person relationships to enable the full realization and embedding of these systems. As well as understanding the suitability of scan measurements for pattern development, this research also recommends further measurements which may improve the patterns' ability to accord with the individual size, shape and proportion of the wearer. This research shows that there are a range of measurements used for pattern making and these are not all available from existing body scanning systems. Key landmarks and measurements are identified and this research shows how body scanning technology can be developed to support existing and developing methods of pattern development.

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