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.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
South Korea has entered a super-aged society while artificial intelligence (AI) services are rapidly becoming integrated into everyday life. However, how older adults translate access to these technologies into actual use and meaningful life outcomes remains insufficiently understood. Drawing on the Technology Acceptance Model (TAM) and the Senior Technology Acceptance Model (STAM-14), this study examines the structural relationships among health satisfaction, digital self-efficacy, AI attitude, AI literacy, actual AI service use, post-use perceived usefulness, and life satisfaction. Data were obtained from the 2025 Digital Divide Survey conducted by the National Information Society Agency (NIA). Partial least squares structural equation modeling (PLS-SEM) was performed using responses from 668 adults aged 50 years or older who had prior experience using AI.
The results showed that health satisfaction and digital self-efficacy were positively associated with both AI attitude and AI literacy. AI literacy was significantly associated with AI service use, whereas the direct relationship between AI attitude and actual use was not significant. A significant indirect path from AI attitude to service use through AI literacy was also identified. In addition, AI service use was positively associated with both post-use perceived usefulness and life satisfaction, while post-use perceived usefulness was positively associated with life satisfaction. However, after conventional determinants of life satisfaction were taken into account, the additional explanatory contribution of the AI-related variables was small. These findings suggest that strengthening AI literacy and digital self-efficacy, rather than attitudinal factors alone, play a more central role in supporting meaningful AI use among older adults.
The results showed that health satisfaction and digital self-efficacy were positively associated with both AI attitude and AI literacy. AI literacy was significantly associated with AI service use, whereas the direct relationship between AI attitude and actual use was not significant. A significant indirect path from AI attitude to service use through AI literacy was also identified. In addition, AI service use was positively associated with both post-use perceived usefulness and life satisfaction, while post-use perceived usefulness was positively associated with life satisfaction. However, after conventional determinants of life satisfaction were taken into account, the additional explanatory contribution of the AI-related variables was small. These findings suggest that strengthening AI literacy and digital self-efficacy, rather than attitudinal factors alone, play a more central role in supporting meaningful AI use among older adults.
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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