• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.6
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• pp.980-990
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• 2008

This study tested how impulse buying behavior for apparel was related to hedonic consumption and impulse buying tendencies and emotion in the context of shopping. A total of 290 self-administered questionnaires were obtained from college students during scheduled classes. A structural equation model using a correlation matrix with maximum likelihood was estimated for examining the relationships among consumer tendencies of hedonic consumption and impulse buying, positive emotion, and impulse buying behaviors by LISREL 8.53. Findings showed that impulse buying behaviors for apparel could be classified into planned, reminded, and fashion-oriented impulse buying typologies. Hedonic consumption and impulse buying tendencies had significant effects on positive emotion. Positive emotion had a significant effect on planned, reminded, and fashion-oriented impulse buying for apparel. This study suggests that positive emotion plays an important role in determining impulse buying behaviors relevant to hedonic and impulse buying tendencies. Managerial implications for apparel retailers are discussed.

• Journal of Korean Home Economics Education Association
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• v.33 no.3
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• pp.173-187
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• 2021

The purpose of this research was to develop instructions for making upcycled clothing accessories related to the 'clothing management and recycling' unit of middle school home economics applying the design thinking technique. Teaching and learning process plans were developed according to the ADDIE model which includes the following process: analysis, design, development, implementation, and evaluation. The design thinking process includes understanding the related knowledge, sympathizing, problem identification(sharing perspectives) and idea development, making prototypes, testing, and making the actual product. Thirteen home economics teachers served as critics. Student feedbacks were collected to evaluate whether the course objectives were attained after the implementation. As a result, teaching and learning process plans, course materials, and evaluation rubrics for ten class sessions were developed. Student feedbacks confirmed the attainment of following five course objectives: improvement of ethical responsibilities through the exploration of various clothing recycling techniques, practice of creative and eco-friendly clothing culture, acquisition of the skills to use sewing tools safely, improvement of abilities to think, sympathize, and communicate, and exploration of aesthetic activities and fashion careers.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.79-88
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• 2022

In order to develop a bodice prototype suitable for obese women in their 20s, this study compared and analyzed a total of five pattern system methods, including prototype of France and Japan, one prototype for education in Korea and two prototype for industries in Korea. Through this, this study attempted to investigate the bodice pattern system suitable for the development of plus-size women's clothing. For the pattern drafting, pattern 1 was applied with the most body dimensions such as interscye fold front, interscye fold back, bust circumference, neck circumference, and waist back length, and pattern 2, pattern 4, and pattern 5 were made based on bust circumference and waist back length. As a result of the appearance evaluation, Pattern 3 was evaluated as the best pattern in all items except for the suitability of the center front length and the suitability of the side waist circumference position. However, it was evaluated as inappropriate in items such as the vertical side line, the suitability of the side waist circumference line position, the suitability of interscye fold back position and shape, and the suitability of the back shoulder dart position. Most of the pattern drafting methods are based on the size of the bust circumference, but other institutional methods are considered necessary when setting the neck circumference and shoulder length for 20s obesity women. In addition, it is also required to develop a method for setting the front center length due to abdominal protrusion.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.85-91
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• 2022

In the IOT social environment, which emphasizes the convergence of science and technology and emotion, this study aims to explore the experience and meaning of the experience while participating in the design convergence class based on the operation of the Learning community of Chinese graduate students majoring in design. To this end, an implementation study was conducted by visualizing various research problems using a design-based inquiry method for 12 graduate students attending T University. The design-oriented convergence class was conducted in a small group with content that was deepened into a visual strategy by the expression technique given by the external environment and the learner's own inner motivation. In order to express the perspective and intention of the research problem in the research, the convergence design research expressed using various visual strategies such as metaphorical use and analysis of visual data in the research process and sensory approach to the research problem was presented in a form that expresses the creative thinking process. As a way of exploration, the teaching method of presenting results based on various experiences suggests changes in new teaching formats, practical knowledge sharing by instructors, and community participation by learning participants.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.397-404
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• 2021

The web-based crowdfunding platform provides small-cap companies the opportunity to reduce financial risks and to reliably produce new products through pre-orders. Meanwhile, crowdfunding projects are also helping companies as a channel to test new products before mass production. Despite these advantages, from the point of view of businesses and consumers, it is true that web-based crowdfunding platforms have limitations in the retail environment. For example, the limited social elements of a web-based platform are somewhat in conflict with the basic characteristics of crowdfunding projects - which inevitably demand high social influences for the success. As such, understanding the mechanisms of social factors of crowdfunding platforms from the consumers' perspective is important. Therefore, in this study, we empirically tested the effect of social factors of crowdfunding platform on consumer participation and evaluation. Based on the Social Influence Theory and Social Presence Theory, we developed a conceptual framework where the social group size and social presence of other backers were the independent variables and the purchaser's intention to participate as the dependent variable. In the results, the size of the social group size and the perceived social presence have a significant positive effect on purchaser's participation intent. In addition, the social presence had a greater influence on the purchaser's intention to participate than the size of the sponsor's social group. We believe that our findings contribute to the extant literature by empirically demonstrating the valid effect of social factors of crowdfunding platforms on consumer evaluations.

• Smart Media Journal
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• v.12 no.7
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• pp.43-51
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• 2023

As online transactions increase, the image of clothing has a great influence on consumer purchasing decisions. The importance of image information for clothing materials has been emphasized, and it is important for the fashion industry to analyze clothing images and grasp the materials used. Textile materials used for clothing are difficult to identify with the naked eye, and much time and cost are consumed in sorting. This study aims to classify the materials of textiles from clothing images based on deep learning algorithms. Classifying materials can help reduce clothing production costs, increase the efficiency of the manufacturing process, and contribute to the service of recommending products of specific materials to consumers. We used machine vision-based deep learning algorithms ResNet and Vision Transformer to classify clothing images. A total of 760,949 images were collected and preprocessed to detect abnormal images. Finally, a total of 167,299 clothing images, 19 textile labels and 20 fabric labels were used. We used ResNet and Vision Transformer to classify clothing materials and compared the performance of the algorithms with the Top-k Accuracy Score metric. As a result of comparing the performance, the Vision Transformer algorithm outperforms ResNet.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.779-785
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• 2023

In the creation of non-verbal dance performance, stage costumes are an important element of visual expression and serve an expanded role in addition to its fundamental decorativeness, representation of status reflective of the historical setting of the act and functionality for the dance movement. We intends that the purpose of this research is to analyze the expanded role of the costumes in the creative ballet <'That' Girl>, and through this exercise, provide foundational data on and suggest new future directions for stage costume design. <'That' Girl> is composed of two acts, offering condolences and eliciting empathy by conveying the fear experienced by the victims of the time. The second dance act representing freedom and "Haan" requires this expanded application of costume design. The costume design was inspired by the "Statue of Peace" representing comfort women, and completed through three draft designs and material experiments testing the ease of operation of the strings and fabrics installed in the costumes as well as the functionality of the associated ballet movements. In conclusion, expansion of time & space, expansion of form and expansion of symbolic expression were shown in the dance of liberation using strings wrapped around the arms and through the cloth embodying 'Haan' hidden in front of the costume.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.101-116
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• 2024

As the spread of smartphones has become more common and the utilization rate has increased, the mobile shopping market is also growing and expectations for related industries are also increasing. Mobile shopping apps are converging with various industries such as fashion, beauty, and lifestyle, and competition among companies to increase the number of users is intensifying with the activation of non-face-to-face. Accordingly, in this study, a study on the perceived value and intention to use mobile shopping apps was conducted based on a VAM. In order to test the hypothesis of this study, a questionnaire was conducted on 266 people who had used a mobile shopping app and it was used for analysis. Looking at the results, it was confirmed that both usefulness and enjoyment among the perceived benefit of mobile shopping apps have a positive (+) effect on the perceived value. However, it was found that the technicality and perceived risk among the perceived sacrifices of mobile shopping apps did not significantly affect the perceived value. Finally, it was confirmed that the perceived value of the mobile shopping app had a positive (+) effect on the intention to use. Through this study, we would like to examine the factors that can affect perceived value and usage intention in the mobile shopping app industry, which is increasingly competitive among companies along with the rapid growth of mobile technology and market, and suggest practical implications for related companies and officials to establish efficient strategies to further increase mobile shopping app users.

• Journal of Service Research and Studies
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• v.14 no.1
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• pp.77-90
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• 2024

This research aims to investigate methods of leveraging generative artificial intelligence in service sectors where consumer sentiment and experience are paramount, focusing on minimizing hallucination phenomena during usage and developing strategic services tailored to consumer sentiment and experiences. To this end, the study examined both mechanical approaches and user-generated prompts, experimenting with factors such as business item definition, provision of persona characteristics, examples and context-specific imperative verbs, and the specification of output formats and tone concepts. The research explores how generative AI can contribute to enhancing the accuracy of personalized content and user satisfaction. Moreover, these approaches play a crucial role in addressing issues related to hallucination phenomena that may arise when applying generative AI in real services, contributing to consumer service innovation through generative AI. The findings demonstrate the significant role generative AI can play in richly interpreting consumer sentiment and experiences, broadening the potential for application across various industry sectors and suggesting new directions for consumer sentiment and experience strategies beyond technological advancements. However, as this research is based on the relatively novel field of generative AI technology, there are many areas where it falls short. Future studies need to explore the generalizability of research factors and the conditional effects in more diverse industrial settings. Additionally, with the rapid advancement of AI technology, continuous research into new forms of hallucination symptoms and the development of new strategies to address them will be necessary.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.27-48
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• 2020

The purpose of this study is to develop a theme-selection activity in 'clothing life' in relation to SDGs(Sustainable Development Goals) for the free semester program. After analyzing the contents of the 'clothing life' area of middle school home economics textbooks based on the SDGs, the content system and learning goals were set. Then a program was developed and the validity and the feasibility of the program were verified. As a result of the analysis of textbooks, the contents of 'clothing life' included all the three basic dimensions of social development, economic growth, and environment protection, yet focus only on 1 or 2 goals of each area. Based on the results of the analysis, a 'Righteous(義) Clothing(衣) Life' program was developed. The developed program consists of teaching-learning process plans and teaching-learning materials in eight class periods, including 'The future everyone dreams of' based on SDG12, 'Two faces of fast fashion' based on SDG1, SDG5, SDG8, SDG10, 'Living as Homoclimatus' based on SDG13, and 'The future we create' based on SDG9 and SDG12. Through the expert evaluation process for the developed program, the program's teaching and learning adequacy and feasibility were reviewed and feedback was actively reflected to correct and supplement the program. Through this study, it is expected that it will contribute to laying the foundation for establishing home economics as a subject that educates citizens who practice sustainable life, and a pivotal subject in education for sustainable development.