Article

Application of 3D Prototyping to Promote Size-Inclusive Design Practices for Plus-Size Apparel

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Abstract

Although innovative computer-aided design tools offer opportunities for advancing size-inclusive apparel design, minimal design research has been conducted to document the applications of these technologies. The purpose of this study is to identify plus-size women’s needs through mixed method research and to integrate 3D prototyping technology to enhance plus-size apparel design. The research includes a) an online survey of plus-size consumers and market analysis to identify clothing needs and perceived problems, and b) development of a virtual and physical prototype through technology integration methods. This study responds to current needs to enhance apparel design for plus-size consumers; the integration of 3D prototyping and the functional, expressive, and aesthetic (FEA) process is a novel approach that places plus-size women at the center of the model. Results from this study may also provide practical guidelines for designers and students with limited knowledge of plus-size women’s body types and bolster their interest in designing for larger body figures to promote a sense of inclusivity.

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... When overweight and obese women buy the clothes they want, their behavior in the buying system is determined by the availability of the sizes ranges of the clothes. The overweight and obese women's category includes clothing sizes from size 12 to 32 [34]. As confirmed by previous studies, the need for plus-size clothing is often not met through the market. ...
... By grasping the needs of overweight and obese women and creating clothes to suit their body shape, creating a variety range is beneficial to the industry as well as to overweight and obese women [9]. According to literature, it has been confirmed that most overweight and obese women focus on and choose dark-colored clothes and neutral-colored clothes [34]. In addition, overweight and obese women try to wear clothing with similar styles to the average size of women style [34]. ...
... According to literature, it has been confirmed that most overweight and obese women focus on and choose dark-colored clothes and neutral-colored clothes [34]. In addition, overweight and obese women try to wear clothing with similar styles to the average size of women style [34]. Unique and personal styles used by a woman increase self-expression (Cervantes, 2022). ...
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Particularly since the 1990s, there has been an active discussion on inclusive design and on the possibility of designing products that would be suitable for every kind of user. Wearable technology products that need to be in close contact with the user's skin to function must be a good fit for the user's body. As wearable technology has transitioned from a specialty of the "quantify-yourself" movement to a widespread, everyday item, the Jenni Hokka works as a specialist in research methods at the Doctoral School at Tampere University. This research is part of a project undertaken while affiliated at Aalto University in which she scrutinized design
... Three-dimensional body scanning technology is a promising way to improve apparel fit and size issue with mass customization (Senanayake and Little, 2010;Sohn et al., 2020). Mass customization can benefit plus size target market once their body shape scrutinized by the industry (Hudson and Hwang, 2020). Custom specifications by individuals or apparel companies can be applied to the overall pattern-making process with using 3D body scan JFMM technology in order to create a mass-customized clothing (Loker, 2007). ...
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The women's plus-size apparel category is a growing market segment in the USA as more than two-thirds (64%) of American women are considered either overweight or obese (Flegal et al., 201012. Flegal , K. M. 2010. Prevalence and trends in obesity among US adults, 1999–2008. Journal of the American Medical Association, 303(3): 235–241. Available from: http://jama.ama-assn.org/cgi/content/full/303/3/235 [Accessed 6 July 2010] [CrossRef], [PubMed], [Web of Science ®]View all references. Prevalence and trends in obesity among US adults, 1999–2008. Journal of the American Medical Association, 303 (3), 235–241. Available from: http://jama.ama-assn.org/cgi/content/full/303/3/235 [Accessed 6 July 2010]). Pisut and Connell (200724. Pisut , G. and Connell , L. J. 2007. Fit preferences of female consumers in the USA. Journal of Fashion Marketing and Management, 11(3): 366–379. [CrossRef]View all references. Fit preferences of female consumers in the USA. Journal of Fashion Marketing and Management, 11 (3), 366–379) and Simmons et al. (200427. Simmons , K. P. , Istook , C. L. and Devarajan , P. 2004. Female figure identification technique (FFIT) for apparel, part II: development of shape sorting software. Journal of Textile and Apparel Technology and Management, 4(1): 1–16. View all references. Female figure identification technique (FFIT) for apparel, part II: development of shape sorting software. Journal of Textile and Apparel Technology and Management, 4 (1)) reported that women today reflect a more pear-shaped silhouette than in previous decades. Kurt Salmon Associates (200017. Kurt Salmon Associates. Annual consumer outlook survey. Paper presented at the American Apparel and Footwear Association apparel research committee. Orlando, FL. View all references. Annual consumer outlook survey. Paper presented at the American Apparel and Footwear Association apparel research committee, Orlando, FL) reported that more than half the women have trouble finding well-fitting clothes. Consumers' figure types play a significant role in affecting sizing measurements of apparel (Njagi, R.K. and Zwane, P.E., 2011. Variation in measurements across different brands of same style ladies' pants in Swaziland. International Journal of Fashion Design, Technology, and Education, 4 (1), 51–57). Apparel patterns are made for hourglass-shaped women and are graded from an average size, assuming that women's measurements increase proportionally as size increases. Based on SizeUSA, a national dataset, women were classified into each size category based on their bust, waist and hip measurements, and their measurements were compared to American Society of Testing and Materials (ASTM) standards. Results showed a significant difference for most size categories. Within each size category, fewer participants satisfied all three measurements of bust, waist and hips. From these measurements, women's hip shape was determined and evaluated for sizes 14W–32W. Analysis of hip shape revealed that different hip shapes exists within a given apparel size. Research methods and implications are discussed.
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As a method specifically intended for the study of messages, content analysis is fundamental to mass communication research. Intercoder reliability, more specifically termed intercoder agreement, is a measure of the extent to which independent judges make the same coding decisions in evaluating the characteristics of messages, and is at the heart of this method. Yet there are few standard and accessible guidelines available regarding the appropriate procedures to use to assess and report intercoder reliability, or software tools to calculate it. As a result, it seems likely that there is little consistency in how this critical element of content analysis is assessed and reported in published mass communication studies. Following a review of relevant concepts, indices, and tools, a content analysis of 200 studies utilizing content analysis published in the communication literature between 1994 and 1998 is used to characterize practices in the field. The results demonstrate that mass communication researchers often fail to assess (or at least report) intercoder reliability and often rely on percent agreement, an overly liberal index. Based on the review and these results, concrete guidelines are offered regarding procedures for assessment and reporting of this important aspect of content analysis.
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The purpose of this study is to explore the effectiveness of 3D simulation technology for enhancing spatial visualization skills in apparel design education and further to suggest an innovative teaching approach using the technology. Apparel design majors in an introductory patternmaking course, at a large Midwestern University in the United States, participated in this study. Three different teaching methods (lecture, 3D simulation instruments, and paper patternmaking) were employed in consecutive instructional phases, within a single day. A short questionnaire devised to assess students’ visualization abilities and overall evaluation on the three different teaching methods was administered to the students after each of the three phases. Overall, students’ abilities to visualize 2D patterns onto a human body were improved by all three teaching methods. The 3D simulation instruments anchored positive effects of training on spatial visualization abilities between lecture and paper patternmaking practices. The results affirm that 3D simulation technology has positive potential as an efficient instructional tool for improving students’ visualization skills in apparel design. Keywords3D simulation–Spatial visualization–Patternmaking–Apparel design education
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