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.

최근의 스마트 의류는 급변하는 환경과 테크놀로지 그리고 인간중심의 패러다임의 변화는 기술적 발전과 더불어 보다 인간 중심의 요소와 감성을 중시한 디자인을 요구하며, 기술적인 측면과 함께 보다 인간 중심의 사용성 평가를 중시하는 디자인으로 연구, 개발되고 있다. 이에 본 연구에서는 헬스케어를 위한 생체신호 측정 센서 기반 스마트 의류의 디자인 프로토 타입을 개발, 사용성 평가 및 착용성 평가를 실시하였다. 평가는 정성적, 정량적 평가로 이루어졌으며, 사용성 평가 결과를 기반으로 도출된 문제점의 수정, 보완을 통해 최종 센서기반 스마트 의류의 모형을 제시하였다.