의학도서관 사서의 생성형 AI 챗봇 서비스 도입 의도에 미치는 영향 요인 분석 – 확장된 기술수용모델을 중심으로

With the advent of generative AI, generative AI services are being developed and introduced in various industries. In this study, we attempted to understand librarians’ perceptions and the factors influencing librarians’ intent to provide a generative AI chatbot service in the medical library. Based on the extended technology acceptance model, factors and research models were designed. A survey was conducted on librarians working in the medical library from September 4th to 17th, 2023, and a total of 64 questionnaires were collected. Factor analysis, reliability analysis, and mediated regression analysis following Baron and Kenny’s method were performed on these response results using the SPSS program. Eight factors were extracted through factor analysis, and mediated regression analysis was conducted on them. As a result, it was confirmed that recognition and convenience directly affect the intention to provide a generative AI chatbot service, and the perceived ease of use had no mediating effect. However, the perceived usefulness had a partial mediating effect on the two factors. It was confirmed that the positive perception of medical librarians is the most important factor in providing generative AI chatbot service to users. Additionally, medical library librarians recognized that the convenience of the generative AI chatbot service could be applied usefully to users.