인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
이용 52
초록·키워드
Along with the Fourth industrial revolution, the artificial intelligence (AI) technology is rapidly expanding and integrating into our daily lives. The interaction between human being and AI device is expected to have effects not only on psychological aspects such as subjective well-being and stress-level, but also on cognitive and behavioral aspects. This study aims to improve overall understandings of the ''human-AI device interaction'' through both qualitative and quantitative research methods.
In study 1, in-depth interviews were conducted with those using AI speakers in order to explore the factors, which influence on the interactions from multiple perspectives (user-perspective, device- perspective, and contextual perspective). In study 2, 3, and 4, it is investigated if the identified factors of each perspective impact on user experiences of AI device.
By the study 1, forty-six factors were identified to affect interactions between user and AI device. Those factors were categorized into three perspectives (user-perspective, device- perspective, and contextual perspective).
In study 2, the research focused on the major factors from the user-perspective (e.g. demographics, emotional states, personality traits) investigating the effects on user experiences (e.g. satisfaction) out of using AI device. The results indicated that the user experienced higher satisfaction when the users are female and when the age
increases. The study also revealed that the overall satisfaction from using AI device significantly was augmented when the levels of loneliness, self-efficacy, and innovativeness (technological and hedonic) increase. Finally, the satisfaction of the user was positively associated with continuous intention to use AI device.
In study 3, the research concentrated on the factors from the device-perspective (e.g. AI’s self-disclosure, role of device, perceived intimacy). The study examined the effect of those factors on users’ cognitive and behavioral experiences under the lab-situated social interacting experiment. It proved that the intention of user’s self- disclosure was higher when AI device discloses more, and the effect was extended to the actual disclosing behavior. Moreover, the study also discovered a full mediation role of intimacy between user experiences and AI’s disclosure.
In study 4, the research conducted an experiment in the context of consuming AI’s curation service. The experiment was designed to explore the effect of AI’s self-disclosure, trustworthiness, and autonomy of users on the user experiences. The results explained that the dependence on AI was increased when AI device discloses more, and it also resulted in higher intention to accept AI’s recommendation.
The present research is expected to provide a comprehensive theoretical framework on the research of human-AI device interaction. As an incipient progress suggested by applying multiple research methods, it is also expected give a foundation to diversify the directions of AI research for future works. Last but not least, the results of the research would contribute not only to the practitioners of the AI industry, but to the users’ psychological well-beings (e.g. loneliness, stress).
In study 1, in-depth interviews were conducted with those using AI speakers in order to explore the factors, which influence on the interactions from multiple perspectives (user-perspective, device- perspective, and contextual perspective). In study 2, 3, and 4, it is investigated if the identified factors of each perspective impact on user experiences of AI device.
By the study 1, forty-six factors were identified to affect interactions between user and AI device. Those factors were categorized into three perspectives (user-perspective, device- perspective, and contextual perspective).
In study 2, the research focused on the major factors from the user-perspective (e.g. demographics, emotional states, personality traits) investigating the effects on user experiences (e.g. satisfaction) out of using AI device. The results indicated that the user experienced higher satisfaction when the users are female and when the age
increases. The study also revealed that the overall satisfaction from using AI device significantly was augmented when the levels of loneliness, self-efficacy, and innovativeness (technological and hedonic) increase. Finally, the satisfaction of the user was positively associated with continuous intention to use AI device.
In study 3, the research concentrated on the factors from the device-perspective (e.g. AI’s self-disclosure, role of device, perceived intimacy). The study examined the effect of those factors on users’ cognitive and behavioral experiences under the lab-situated social interacting experiment. It proved that the intention of user’s self- disclosure was higher when AI device discloses more, and the effect was extended to the actual disclosing behavior. Moreover, the study also discovered a full mediation role of intimacy between user experiences and AI’s disclosure.
In study 4, the research conducted an experiment in the context of consuming AI’s curation service. The experiment was designed to explore the effect of AI’s self-disclosure, trustworthiness, and autonomy of users on the user experiences. The results explained that the dependence on AI was increased when AI device discloses more, and it also resulted in higher intention to accept AI’s recommendation.
The present research is expected to provide a comprehensive theoretical framework on the research of human-AI device interaction. As an incipient progress suggested by applying multiple research methods, it is also expected give a foundation to diversify the directions of AI research for future works. Last but not least, the results of the research would contribute not only to the practitioners of the AI industry, but to the users’ psychological well-beings (e.g. loneliness, stress).
목차
- I. 서론 1II. 문헌검토 71. 인공지능 72. 가상개인비서와 인공지능 스피커 113. 인간-기기 상호작용 141) 인간-컴퓨터/로봇 상호작용 142) 인간-인공지능 상호작용 18III. 연구1 211. 서론 212. 연구 방법 231) 참가자 232) 분석 방법 263. 연구 결과 281) 사용자 측면 282) 기기 측면 343) 환경적 측면 434. 논의 48IV. 연구2 521. 서론 522. 문헌 고찰 541) 사용자 특성 54(1) 외로움 54(2) 자기효능감 56(3) 혁신성 58(4) 성별과 연령 602) 사용자 경험 633. 연구 방법 671) 연구 참여자 672) 측정 변인 693) 분석 방법 734. 연구 결과 741) 타당성 및 신뢰성 분석 742) 구조모형 분석 775. 결론 및 논의 82V. 연구3 911. 서론 912. 문헌 고찰 951) 자기개방 952) 관계와 자기개방 1023) 친밀감 1073. 연구 방법 1101) 연구 참여자 1102) 실험설계 1123) 측정변인 1164. 연구 결과 1211) 자료분석 방법 1212) 측정문항:타당도 및 신뢰도 검증 1223) 조작점검 1254) 가설검증 1265. 결론 및 논의 132VI. 연구4 1401. 서론 1402. 문헌 고찰 1441) 자기개방 1442) 인공지능 자동화와 인간의 자율성 1483) 신뢰감 1523. 연구 방법 1551) 연구 참여자 1552) 실험설계 1563) 측정변인 1594. 연구 결과 1641) 자료분석 방법 1642) 측정문항:타당도 및 신뢰도 검증 1653) 조작점검 1664) 가설검증 1695. 결론 및 논의 175VII. 종합 논의 181
최근 본 자료 전체보기
