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.
피인용 0
초록·키워드
With the rapid advancement of artificial intelligence (AI) technologies, in-car voice assistants (IVA) have become key interfaces for enabling safe and efficient human-machine interaction in driving environments. However, the psychological mechanisms by which their intelligent attributes influence user acceptance still remain underexplored. This study investigates how autonomy and adaptability affect users’ willingness to use through the mediating role of both performance expectancy and perceived reliability, while also examining the moderating role of transparency and self efficacy. Our findings show that autonomy positively influences perceived reliability, whereas adaptability enhances both performance expectancy and perceived reliability. Both mediators, in turn, significantly increase willingness to use. They mediate the relationship between adaptability and usage intention. In addition, transparency not only moderates the relationship between autonomy and performance expectancy, but also the link between adaptability and perceived reliability. We discuss theoretical and practical insights by clarifying the distinct roles of intelligent attributes and highlighting the moderating role of transparency in AI based human machine interaction under the context of in-car AI technology.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-26-02-096795367
