인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
논문 기본 정보
- 저자정보
초록·키워드
This study examined the determinants of generative AI usage by classifying users into three stages: non- users, free-tier users, and paid subscribers. Using data from the 16th Korea Media Panel Study (2025), a multinomial logistic regression analysis was conducted with a final sample of 7,897 respondents, followed by a binary logistic regression to identify the factors distinguishing paid subscribers from free-tier users. The results showed that digital literacy was the strongest positive predictor of both free-tier use and paid subscription, while information literacy was also positively associated with both stages. In contrast, privacy concern showed opposite associations across usage stages: it was negatively associated with free-tier use but positively associated with paid subscription, emerging as the strongest correlate distinguishing free-tier users from paid subscribers. Household income was not significantly associated with free-tier use, whereas individuals in the high-income group were more likely to subscribe to paid AI services. These findings suggest that generative AI usage follows a multi-stage pattern involving both technology adoption and subscription conversion. By examining both usage stages and the transition from free-tier use to paid subscription, this study extends the traditional dichotomous approach to technology adoption research.
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.