• The Research Journal of the Costume Culture
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• v.28 no.5
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• pp.705-718
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• 2020

The goal of this study was to develop a haptic communication system that can convey the tactile sensation of fashion materials in a virtual environment. In addition, the effectiveness and how realistically the virtual fabric image of this system delivers the tactile sensation of actual fabric was verified. First, a literature review was conducted through which the tactile attributes of fashion materials were defined that would be implemented in the haptic communication system. Then, a questionnaire for evaluating the tactile attributes of fashion materials was developed. Next, a haptic communication system was designed to convey fashion image experiences in a virtual environment, from which a haptic rendering model was suggested. The effectiveness of the haptic communication system was evaluated by verifying user experiences with questions developed through a user evaluation experiment. The validity of the evaluation questions pertaining to the tactile attributes and the effects of the haptic communication system were verified. Factor analysis was conducted to verify the evaluation of the tactile sense attributes of the fashion material, which identified density, thickness, and elasticity of the material as key factors. As a result of comparisons between the tactile sense through haptic characteristics and through touching, it was observed that regarding density and thickness, tactile sense experience led to greater perceived reality, while this was not the case for elasticity.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• The Journal of Natural Sciences
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• v.13 no.1
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• pp.113-128
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• 2003

The purpose of his study was to investigate the effectiveness on clothing advertisement of three types of model, perception of model attributes by the clothing consumers, and difference in advertisement effectiveness according to perception of model attributes. Three types of advertisements for easy casual brand were selected, which are using celebrity, expert and general consumer models. The final analysis included 304 persons, who ranged from 16 to 25 in age. The statistics used analysis include ANOVA, Duncan's multiple range test, factor analysis and regression by the SPSS program. The result were as follow:1. The celebrity advertisement was the most effective type on all kinds of attitude changes (cognitive, emotional, and behavioral attitude changes) of consumers.2. The celebrity model received high scores on attractiveness and truthfulness; and the general consumer model received high scores on truthfulness and similarity.3. The amount of consumers attitude changes was different according to the perceptions of model attributes as well as the types of model.

• Fashion & Textile Research Journal
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• v.2 no.3
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• pp.205-214
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• 2000

With the increase of using Internet in clothing shopping, the gathering of customer information based on online research is emphasized. The purposes of this paper summarized the several aspects of on-line research as new data collection methods and investigate some characteristics through reviewing extant literature on online research. We explored a conceptual model of response behavior for the purpose of the literature in a manner which enhance a deeper understanding of online response behavior. This model was focused on exchange paradigm instead of a "help-the-sponsor" approach. The proposed conceptual framework included questionnaire design, response incentive, commitment, convenience, expertise, response behavior (satisfaction and attitude), and online research performance.

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.35-48
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• 2003

The purpose of this study is to investigate ideal body image and clothing style through the analysis of models portrayed in fragrance advertisement that is the representative goods showing the fashion brand image. For this study, 120 perfume advertisements appeared in GQ and Vogue magazines issued in 2002 were selected. The models' characteristics portrayed in advertisement are categorized with role relationship, race, body exposure and clothing styles. The results are as follows. 1. Fragrance advertisements most commonly depict a single model portraying narcissism, and later then most common are advertisements both male and female model in a sexual relationship. 2. The analysis of models' race shows racism toward Asian models and Afro- American models. White models are main characters in fragrance advertisements more often than other races, and in mixed-ethnic ads, whites typically outnumbered minorities. This shows currently aesthetic stereotypes, that is, white ideology still exists. 3. The results of models' body exposure are showing nudism with partially clad or nude. This shows the eroticism of male and female. 4. The highest portion of clothing style appeared in fragrance advertisement were casual wear for male model and dressy formal wear for female models, which respects current fashion trends.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.599-602
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• 2005

This paper utilizing model picture of finished clothes in fashion design field various material (textile fabrics) doing Draping directly can invent new design, and do not produce direction sample or poetic theme width and confirm clothes work to simulation. Also, construct database about model and material image that can confirm Mapping result by real time. Development did the 2.5D Mapping system that used path extraction algorithm, warp algorithm, a lighting extraction and application algorithm in order to implement natural Draping of model picture and material image.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.

• Journal of Fashion Business
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• v.27 no.5
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• pp.135-145
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• 2023

The purpose of this paper is to develop a workwear design framework that can be applied in workwear design. A general explorationstudy was conducted onworkwear concepts and market research to understand the importance and growth potential of workwear. Subsequently, representative brands specializing in workwear are selected, and a case analysis of workwear is conducted with a focus on jackets, pants, and overall items. As a result, four key characteristics of workwear are derived: Ergonomic Pattern-making, Certified Fabric, Specialized Color, and Customized Details. To present a model that considers the functional, expressive,and aesthetic aspects of workwear simultaneously, the 'Function Express Aesthetic' (FEA) model is utilized as the foundation. The 12 derived elements in the newly developed framework combine these four characteristics with three aspects (functional, expressive, and aesthetic), allowing for comprehensive consideration and validation of workwear conditions. The new framework will be used in subsequent research for developing workwear prototypes and is expected to enhanceworkwear production by employing a systematic approach during the design ideation and evaluation stages. By effectively integrating functional aspects with expressive-aesthetic values centered on the functionality of workwear products, this framework will provide.

• Journal of Fashion Business
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• v.27 no.6
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• pp.37-46
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• 2023

This study aims to develop workwear prototypes by applying a systematic approach considering the characteristics of workwear. A case study was conducted before this study to derive workwear's four characteristics: 'Ergonomic Pattern-Making, Certified Fabric, Specialized Color, and Customized Details.' a prior study proposed the integrated framework combining these characteristics with the FEA model. The new framework identified that these characteristics are considered in terms of functionality, expression, and aesthetics; it can increase workers' satisfaction and meet the market demand without concentrating on only particular aspects. Before prototype production, the requirements for each characteristic of workwear were analyzed through theoretical research of previously published related papers. The study primarily gathered workwear requirements data and sources from consumer satisfaction surveys and investigations into the wearing conditions of work clothes. When considering all aspects of pattern-making, fabric, color, and detail in functionality, 'comfort movement, body protection, improved work efficiency' were identified as necessary. Expressive requirements were fundamental, including 'reflecting the wearer's preferences, expressing a sense of belonging and identity. It was clear that incorporating design elements and applying current trends to the aesthetic requirements of work clothes was necessary. Four prototypes comprised two top and bottom sets and two overalls using these requirements. The framework was used throughout the entire process of planning, producing, and evaluating prototypes, and through this, the results fulfilled the requirements. This study is significant because it produced workwear prototypes using an integrated approach that considered functional, expressive, and aesthetic aspects.

• Fashion & Textile Research Journal
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• v.12 no.5
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• pp.642-649
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• 2010

This study was designed to generate briefs pattern for women in their twenties using 3D parametric body model. 151 women in their 20's were random sampled and measured using Martine's anthropometry. And one subject was chosen as the representative subject for 3D scanning. Parametric model was generated of using CATIA P3, Unigraphics NX4.0, Rapidform 2006. And the 3D surface of parametric body model was flattened onto the 2D plane. 3 downscale ratios(0%, 10%, 15%) were applied to generated pattern to figure out what downscale ratio was suitable to make briefs with stretch fabric. 4 kinds of experimental briefs were made with stretch fabrics(0%, 10%, 15% downscale) and worn on the dressform. Subjective evaluation on the appearance was done and the data was analyzed by ANOVA with post-hoc test. Briefs pattern was generated through the process of flattening the parametric surface and arranging the patches to make briefs pattern by dart manipulation. The different ration of outline and area between 3D surface and 2D pattern were 0.22% and 0.09% respectively. It showed that a parametric model could provide a desirable pattern with minute size error. The results of subjective evaluation on the appearance of 4 experimental briefs showed that stretch briefs with 15% downscale ratio was evaluated most highly in most items. Findings imply that it is feasible to apply 3D parametric model to generate patterns for various items considering various fabric properties.