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논문 기본 정보

자료유형
학술저널
저자정보
이아라 (연세대학교) 김효창 (연세대학교) 차민철 (연세대학교) 지용구 (연세대학교)
저널정보
대한인간공학회 대한인간공학회지 대한인간공학회지 제38권 제3호
발행연도
2019.6
수록면
161 - 175 (15page)
DOI
10.5143/JESK.2019.38.3.161

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초록· 키워드

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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.

목차

1. Introduction
2. Literature Review
3. Method
4. Finding
5. Discussion
6. Conclusion
References

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