인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
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
With the rapid development of computer graphics, artificial intelligence, and virtual reality technologies, digital humans have become an essential element in the field of digital media. On short video platforms, digital humans appear as virtual idols, hosts, and educators, interacting with users and providing rich content experiences. However, users' acceptance of digital humans is influenced by various factors, and the specific influence mechanism remains unclear. This study aims to explore the influence mechanism of digital human acceptance among Chinese users in the context of short video animation, focusing on factors such as usage needs, perceived anthropomorphism, and expectation confirmation. Based on the Uses and Gratifications Theory and Expectation Confirmation Theory, this study constructs a conceptual model including usage needs (cognitive needs, emotional needs, integrated needs), perceived anthropomorphism, expectation confirmation, and user acceptance. Through data analysis of 458 valid questionnaires, this study finds that usage needs and perceived anthropomorphism significantly and positively influence expectation confirmation and user acceptance, while expectation confirmation also significantly and positively influences user acceptance. However, the influence of social influence on expectation confirmation is not significant. These results enrich the theoretical research on digital human acceptance, emphasizing the key roles of user needs and perceptions in the acceptance process, and provide new insights into the applicability of social influence in Unified Theory. The findings of this study offer practical guidance for the design and promotion of digital humans in short video animation, contributing to the further development of digital human technology in the field of digital media.
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) : I410-151-25-02-092213823