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Drawing on virtual liminoid theory, the purpose of this paper is to examine factors that induce a multisensory flow experience in an e-shopping context through the use of augmented-reality interactive technology (ARIT).

To validate the research framework, a task-based laboratory study was performed. Participants were recruited through a snowball e-mail method and requested to freely and independently use ARIT for clothes fitting in the laboratory, after which they completed a questionnaire; 336 valid responses were received.

Empirical results revealed that three decorating psychological states (sense of body ownership, sense of ownership control, and self-explorative engagement) directly induced a multisensory flow experience. Furthermore, two multisensory factors (sense of self-location and haptic imagery) mediated the multisensory flow experience through these three decorating psychological states.

Consumers not only rely on generating self-display for optimal fitting in virtual avatar decoration in an e-shopping context but also concentrate more on expression and control of self-body. As consumers’ decorating psychological states require an ideal form of self-expression, a high degree of autonomy in exploring self-decoration options will create more value for consumers. Considering that expressing and controlling the self-body in addition to self-explorative engagement in virtual avatar decoration will trigger the flow experience in an e-shopping context, increasing the use of multisensory ARIT to trigger decorating psychological states in e-shopping contexts is highly recommended.

In this study, a relationship was constructed among virtual liminoid theory, flow theory, and multisensory technology, and an integrated conceptual framework was developed for the relationship between decorating psychological states and multisensory flow experience.

This paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.

The paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.

The cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.

Virtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.

The paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.

The purpose of this paper is to use body shape analysis and develop a 3D virtual body formation and deformation model that can accurately express size and shape.

In this paper, 1,882 sets of direct measurement data of Korean women in their 20s (19–29 years) were analyzed. These data sets were sourced from the sixth and seventh “Size Korea” anthropometric survey data. Through body shape analysis, the authors classified them into seven body types and selected their representative bodies. A 2D image based on the height, breadth, depth and length was first formed, and the representative virtual body was modeled using the polygon technique. The authors calculated the grading ratios for each body type according to the clothing sizing system, and modified the virtual body size type by morphing technique.

In order to accurately evaluate the fit in a virtual fitting system, it is necessary to study the body size and shape of the target age; this makes it possible to form virtual body reflecting the size and shape.

In this paper, the authors propose a new 3D virtual body formation method that is more accurate in shape and size compared to the present system. Through this, it will be possible to grasp the accurate simulation state in the virtual fitting system, and thereby evaluate the accurate fit.

The purpose of this paper is to investigate basic block pattern modification according to fabric used and the mismatch between 2D and 3D measure lines at bust, waist and hip girths when ease allowance is changed uniformly.

For the investigation, virtual try-on software Modaris 3D Fit (CAD Lectra) was used. The straight shape dress fitting was done using seven cotton and cotton blended plain weave fabrics. After virtual try-on, the mismatch d (d_bust, d_waist, d_hip) between 2D and 3D measure lines was measured in order to determine base pattern adjustments using different fabrics.

It was found that the position and length of 3D measure lines at bust, waist and hip girths does not match the position and length of corresponding lines in 2D base patterns after virtual try-on due to fabrics deformation, which is related to mechanical properties. It was proved that derived linear equations presenting a relation between mismatch and ease allowance values could be used for basic block pattern modification that 3D and 2D measure lines would coincide during clothing try-on.

This research is limited to cotton/cotton blended woven fabrics and straight dress; therefore, other fabric types and other clothing could be investigated in the future to expand data basis.

The main practical point of the proposed method is that in order to obtain particular 3D ease value in a garment, it can be calculated from 2D ease allowance value and the fabric’s tensile properties using linear equations. The basic block patterns could be modified using this method not only for tested fabrics but also for other fabrics with similar composition, structural and mechanical properties. 3D ease values in garment can be easily checked by using virtual try-on technology without production of real prototypes. The method is applicable for making ready-to-wear or individually tailored clothing.

The proposed method in this paper presented opportunity to modify the basic block patterns of the dress according to the fabric’s tensile properties and 2D ease allowance. The basic block patterns could be modified according to presented linear functions for each tested fabric. The application of this method can fully ensure the interaction between the garment 2D patterns to 3D garment so that a desired 3D garment fitting effect to the body can easily be satisfied by the adjustment of particular fabric characteristics. It offers further possibilities, especially with developing virtual try-on technologies.

This paper reviews the pros and cons of different parametric modeling methods, which can provide a theoretical reference for parametric reconstruction of 3D human body models for virtual fitting.

In this study, we briefly analyze the mainstream datasets of models of the human body used in the area to provide a foundation for parametric methods of such reconstruction. We then analyze and compare parametric methods of reconstruction based on their use of the following forms of input data: point cloud data, image contours, sizes of features and points representing the joints. Finally, we summarize the advantages and problems of each method as well as the current challenges to the use of parametric modeling in virtual fitting and the opportunities provided by it.

Considering the aspects of integrity and accurate of representations of the shape and posture of the body, and the efficiency of the calculation of the requisite parameters, the reconstruction method of human body by integrating orthogonal image contour morphological features, multifeature size constraints and joint point positioning can better represent human body shape, posture and personalized feature size and has higher research value.

This article obtains a research thinking for reconstructing a 3D model for virtual fitting that is based on three kinds of data, which is helpful for establishing personalized and high-precision human body models.

This study suggest the development of a wearable orthotic device pattern that can reduce pain and deformation, and help in the normal development of children with cerebral palsy. Such a pattern enables daily wear before hip subluxation occurs, to prevent hip dislocation and subluxation.

This study set the design line by carrying out cell work on the actual model, then proceeded with the first pattern design. The final version of the second orthotic device was designed by conducting discussions with experts and the patient's guardian, with the device fitted to the child patient. The evaluation of the second orthotic device used the virtual model to check the pressure area and level through virtual fitting. An evaluation was then conducted with the device fitted to the child patient, to verify the functionality and suitability of the final pattern.

Following the initial fitting evaluation, the second pattern was presented after modifying and supplementing issues such as movement suitability with posture change, position change of the great trochanter when wearing a diaper, pressure control of the X-shaped band on the genital area and thigh abduction. The master pattern of the final version of the second orthotic device was proposed after confirming that the femoral head of the hip joint was stably fixed, and the compression was applied through a verification based on the virtual fitting using the virtual model, and with the device fitted to the child patient.

With this study, it is expected that the process and design plan for the development of wearable orthotic device patterns for the persons with disabilities impaired mobility can be used as a basic resource to create devices that merge the clothing and medical fields.

The research evaluated the feasibility of 3D dynamic fit utilizing female compression tops by comparatively analyzing the virtual and actual dynamic fit.

Six female participants were 3D body-scanned and photographed in compression tops in four types of athletic movements (pull-up, kettlebell swing, circle-crunch and sit-up). Fit measurements, waist cross-sectional areas, waist width, waist depth, numerical simulation of clothing pressure (kPa) and objective pressure measurements (kPa) were collected from 3D virtual animation, 3D fit scan data and actual photos with the four types of athletic motions. The data were comparatively investigated between virtual and actual dynamic fit.

The 3D-animated body was not reflected with human body deformation because only bone structure was changed while maintaining the constant forms of muscle and body surface in athletic movements. Due to this consistency of virtual dynamic fit, there were significant differences with the actual dynamic fit at the top length, shoulder width and waist cross-sectional areas. Also, the virtual dynamic pressure indicated significantly higher levels than the objective dynamic pressure while presenting no significant correlations at the front neckline, breast, lateral waist, upper back, back armhole and back waist.

This study is the first to verify multiple aspects of virtual dynamic fit using 3D digital technology. This study provided useful information about which aspects of the current virtual animation need to be improved to apply in the dynamic fit evaluation.

This study establishes the principles and process steps of a new basic trousers pattern using measurements obtained according to the rules of the anthropometric measurement system. The newly developed pattern-making system in this study will be called the “Anthropometric Measurements Based Pattern Making System” (AnMePa). It is aimed at producing trousers that are more fitting to the body, thanks to this pattern-making system.

In this research, four pattern-making systems used in many parts of the world were compared with the “Anthropometric Measurements Based Pattern Making System” (AnMePa) with regard to the overall appearance and body fit of trousers prepared according to these systems. 10 virtual mannequins (VM) with different adult female body measurements were created, and trousers patterns were prepared for these mannequins. The trousers’ patterns were made and dressed on the mannequins in a 3D virtual dressing system. The body fit of the virtual garments was evaluated by five experts. The scores given by the experts were evaluated using the fuzzy logic method.

According to the results, it is seen that the new basic trousers pattern developed by utilizing the anthropometric measurement system, AnMePa, provides the best body fit among the basic trousers patterns created according to the other examined pattern-making systems. The combination of 3D virtual dressing and fuzzy logic in the evaluation of garment body fit is considered an innovative method for the future of fashion design and production.

In the developed AnMePa, unlike the existing pattern-making systems, values that can be associated with the body measurements of individuals in a way that could be suitable for each community were used instead of constant values in the pattern-making process. Furthermore, the integration of 3D virtual fitting and fuzzy logic in assessing garment fit is considered a pioneering approach with significant implications for the future landscape of fashion design and production.

In retail, product fitting is a critical operational practice. For many products, the operational outcome of the retail supply chain is determined by the customer physically fitting products. Digital product fitting is an emerging operational practice in retail that uses digital models of products and customers to match product supply to customer requirements. This paper aims to explore potential supply chain outcomes of digitalizing the operational practice of product fitting. The purpose is to explore and propose the potential of the practice to improve responsiveness to customer requirements and the utilization of existing variety in mass-produced products.

A maturity model of product fitting is developed to specify three levels of digitalization and potential outcomes for each level. Potential outcomes are developed based on empirical data from a case survey of three technology-developing companies, 13 retail cases and a review of academic literature.

With increasing maturity of digital product fitting, the practice can be used for more purposes. Besides matching product supply to customer demand, the practice can improve material flows, customer relationship management, assortment planning and product development. The practice of digital product fitting is most relevant for products where the final product configuration is difficult to make to order, product and customer attributes are easily measurable and tacit knowledge of customers and products can be formalized using digital modeling.

Potential outcomes are conceptualized and proposed. Further research is needed to observe actual outcomes and understand the mechanisms for both proposed and surprising outcomes in specific contexts.

The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes.

This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.

The paper seeks to evaluate and present the usability of one pattern customising technology in the achievement and testing of garment fit.

This study focuses on the use of 3D technology in the testing of garment fit. It examines the usability of one pattern customising technology in the achievement and testing of fit and presents primary data from experiments on the provision and testing of garment fit of specified size patterns for a jacket and skirt. Findings on virtual and human fit trials and an evaluation of the 3D technology are presented.

The study found that 3D software for fit provision and testing is still in its infancy, although advancements are currently being made in this area. It establishes that while fit can be virtually tested with 3D technology, its usability is not yet fine‐tuned. It evaluates procedures and presents problematic features of the 3D software. It underscores that although some issues concerning efficient provision and testing of fit still exist, 3D technology overall provides adequate evaluation of fit.

This study highlights areas for fine tuning and provides a basis for further research. While discussing usability of one pattern technology, this paper presents a platform for comparative evaluation of other technology.