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.

Abstract
I. Introduction
Ⅱ. Theoretical Background
    1. Technology Acceptance Model(TAM)
    2. Clothing attributes of smart clothing
    3. Health lifestyle
    4. Fashion innovativeness
Ⅲ. Method
    1. Research questions
    2. Sample and data collection
    3. Measuring instrument and analysis method
Ⅳ. Results and Discussion
    1. Effect of TAM and clothing attributes onpurchase intention for smart healthcare clothing
    2. Effect of health lifestyle and fashion innovativenesson purchase intention for smart healthcareclothing
Ⅴ. Conclusion
References

• Heejung Han(계명대학교 패션디자인과) | 한희정 Corresponding author