인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
As Korea enters a super-aged society, understanding the mechanisms that influence older adults’ acceptance of smart clothing has become increasingly important. This study integrates the Extended Technology Acceptance Model, the Senior Technology Acceptance Model, and Functional Attitude Theory to investigate these mechanisms. An online experiment was conducted with older adults (N=241, aged 60+), exposing participants to smart-clothing advertisements delivered by either a younger or older recommender. Structural equation modeling revealed that perceived enjoyment and perceived usefulness were the primary determinants of usage intention. In contrast, perceived ease of learning and use did not directly affect intention but influenced it indirectly through enjoyment and usefulness. Moderated moderation analyses further demonstrated that the recommender’s age and participants’ psychological influence jointly shaped their cognitive evaluation of the technology. Specifically, participants with high psychological influence perceived greater usefulness when the product was introduced by a younger recommender, whereas participants with low psychological influence responded more favorably to an older recommender. These findings indicate that, even for function-oriented smart clothing, emotional experience and psychological fit are critical determinants of technology acceptance. This study underscores the importance of emotionally adaptive product design and tailored communication strategies that align recommender characteristics with users’ psychological profiles to promote smart-clothing adoption among older adults.
본문·목차
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