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
Objective: This research is an analysis of how ICT ability are affected in each acceptance of factors in conversational agent, to invigorate the use of conversational agent for elderly people. Background: With the rapid increase in the population of elderly people, the ability of having independence and participating in social activities are one of the main issues to provide solutions for the problems of the aged. The control method for conversational agent is intuitive as it does not require an input device. This allows easier adaptation of interaction method even for the elderly people with less experience with ICT. Method: We recorded eight different conversation scenarios formulated for this research in advance, using the text-to-speech program. The laboratory was set to allow conversational interaction by transmitting the voice converted to the speaker through computer, upon hearing the articulations of the participants over a partition. The ICT ability of the participants, and acceptance of conversational agent was measured through a survey by seven-point Likert scale. Results: In order to enhance the acceptance of conversational agent among elderly people, it is required to develop a new design technique allowing elderly people to form trust towards conversational agent by perceiving it as a social presence. Moreover, it is necessary to consider the importance of elderly people to acknowledge the sociability and usefulness of conversational agent. Conclusion: In this research we compared various factors of acceptance among elderly people, utilizing conversational agent. Conversational agent would henceforth function as an opportunity not only for elderly people, but also for the context and users with difficulty controlling devices with certain body parts.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2018-530-001750930
