Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

The purpose of this study was to analyze the eroticism of the exposed body and clothing style of Chinese foreign students in Korea and to provide basic information required to design and develop a niche market for the Chinese. A Chinese professor translated 52 questions, which formed a preliminary survey given to 30 Chinese students. Following this preliminary survey, some questions were then revised. The surveys were conducted during 3 weeks starting from the 5th of October. Only 289 of 330 questionnaires were selected for statistical analysis. Data were analyzed statistically through Frequency analysis, Chi-square test, T-test, and Regression analyses in SPSS 12.0. The results of this study were as follows. First, we should consider men's breast, back, and neck line in order to develop the design of men's clothes, and the leg and collarbones for women's clothing. Second, it was suggested that we pay attention to the following articles of clothing to expand the erotic market for Chinese women's clothes: mini-skirts, side slit skirts, and tight-skirts for bottoms; blouses or T-shirts with a neckline scooped out deeply for tops; and see-through one-piece dresses with deeply scooped out backs.

This study was meant to offer the data for predicting the product plan answering the diverse demands for consumers based on the results of analyzing the image and formative property by transforming the stripe patterns. The concrete study way is composed of the collected stimulus centering on the interval of the stripe pattern and value contrast coloration. Consequently 192 stimuli, changed by the pattern direction and pattern interval, clothing style, and contrast coloration, are selected. The experimental materials made for this study are a set of stimuli and response scale. The statistics way used in analysis was factor analysis, ANOVA, dispersion analysis, multiple classification analysis. The results of this study were summed as following. Firstly, In the value contrast, a pair of 27 adjectives were made of attractiveness, activeness, gracefulness, visibility, and tenderness dimension. Secondly, the direction of the pattern, interval, clothing style, and contrast coloration were respectively transformed according to value contrast.