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 1%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Objective: The purpose of this study is to analyze client experience on the counseling chatbot and provide design implications for counseling chatbot based on artificial intelligence.
Background: Only a few people with psychological problems are consulted with psychotherapists. This is due to the physical limitations and psychological burden of face-to-face counseling. By adopting the technology of artificial intelligence, we identified the possibility of overcoming the limitation of the existing counseling method.
Method: Based on the counseling theory, we classified psychological counseling process into five stages: diagnosis, exploration, understanding, action, and evaluation. In addition, a counseling scenario covering from stage of diagnosis to understanding was designed and implemented through "KakaoTalk Plus Friend" based on Javabased platform. 78 participants were recruited and they were the students of University. All participants were counseled by the chatbot on depressed situations and were interviewed on overall experience at the end.
Results: Based on the thematic analysis, four themes were derived: chance of selfinsight, trust in anonymity, lack of non-verbal cues, and effects of counselor"s identity.
Conclusion: The artificial intelligence counseling system can provide psychological relief to the clients. However, in order to design a chat-based consulting system, the characteristics of the chatbot must be considered. Also, the level of anthropomorphism of artificial intelligence agent should be designed appropriately for psychological counseling.
Application: The results of this study can be used as basic data to assist development of AI-based counseling system.
Background: Only a few people with psychological problems are consulted with psychotherapists. This is due to the physical limitations and psychological burden of face-to-face counseling. By adopting the technology of artificial intelligence, we identified the possibility of overcoming the limitation of the existing counseling method.
Method: Based on the counseling theory, we classified psychological counseling process into five stages: diagnosis, exploration, understanding, action, and evaluation. In addition, a counseling scenario covering from stage of diagnosis to understanding was designed and implemented through "KakaoTalk Plus Friend" based on Javabased platform. 78 participants were recruited and they were the students of University. All participants were counseled by the chatbot on depressed situations and were interviewed on overall experience at the end.
Results: Based on the thematic analysis, four themes were derived: chance of selfinsight, trust in anonymity, lack of non-verbal cues, and effects of counselor"s identity.
Conclusion: The artificial intelligence counseling system can provide psychological relief to the clients. However, in order to design a chat-based consulting system, the characteristics of the chatbot must be considered. Also, the level of anthropomorphism of artificial intelligence agent should be designed appropriately for psychological counseling.
Application: The results of this study can be used as basic data to assist development of AI-based counseling system.
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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