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.
학술저널
DBpia Top 10%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
The purpose of this study is to explore the mechanism by which medical chatbots meet patients' expectation, increase satisfaction, and influence their intention for continuous use, by applying the
Expectation Confirmation Model (ECM) and conducting an empirical study with 313 Chinese users who have over 1 year usage experience. The research findings demonstrate that the perceived usefulness of AI-based chatbot service has a significantly positive direct impact and a significantly positive indirect impact (through satisfaction) on the intention to continuously use such services. Perceived trust has a significant positive impact on continuous use intention through the mediating effect of satisfaction, although its direct impact is not significant. The level of users’ expectation confirmation significantly influences both perceived usefulness and perceived trust, and it exerts a relatively strong indirect impact on continuous use intention through satisfaction. The research findings not only help in understanding users' psychological and behavioral patterns but also provide recommendations for improvement to relevant technology developers. Additionally, they offer theoretical support and empirical evidence for the application of more smart healthcare systems in the future, contributing to the widespread adoption of smart healthcare.
Expectation Confirmation Model (ECM) and conducting an empirical study with 313 Chinese users who have over 1 year usage experience. The research findings demonstrate that the perceived usefulness of AI-based chatbot service has a significantly positive direct impact and a significantly positive indirect impact (through satisfaction) on the intention to continuously use such services. Perceived trust has a significant positive impact on continuous use intention through the mediating effect of satisfaction, although its direct impact is not significant. The level of users’ expectation confirmation significantly influences both perceived usefulness and perceived trust, and it exerts a relatively strong indirect impact on continuous use intention through satisfaction. The research findings not only help in understanding users' psychological and behavioral patterns but also provide recommendations for improvement to relevant technology developers. Additionally, they offer theoretical support and empirical evidence for the application of more smart healthcare systems in the future, contributing to the widespread adoption of smart healthcare.
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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