Study on Intention and Attitude of Using Artificial Intelligence Technology in Healthcare
Abstract
본 연구는 UTAUT 모델을 이용하여 보건의료분야 대학생들의 인공지능기술(Artificial Intelligence Technology, AI)의 사용 의도와 태도에 영향을 미치는 요인들을 규명하기 위해 시행되었다. 연구대상은 278명의 대학생으로, 2016년 5월 15일부터 6월 14일까지 자기기입식 설문지를 통하여 자료를 수집하였다. 연구결과 성과기대, 사회적 영향, 업무의 유용성, 불안요인이 사용 의도에 유의미한 영향을 미치는 것으로 나타났다. 그리고 성과기대, 업무의 유용성, 불안요인은 태도에 유의미한 영향을 미치는 것으로 나타났으며, 사용 의도는 태도에 영향을 미치는 것으로 나타났다. 불안요인과 업무의 유용성이 태도에 미치는 직접 효과가 사용 의도에 의해 부분 매개하는 것으로 나타났다. 대학생들의 AI 기술에 대한 긍정적인 사용 의도와 태도를 높이기 위해서는 사실에 근거한 정확한 정보전달과 막연한 불안감을 줄이면서 성과기대, 사회적 영향, 인지된 유용성을 향상시키는 것이 중요한 것으로 나타났다.
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Cronbach's alpha for anxiety in this study was 0.86.
“Cronbach’s α of the tool was ≥ 0.70 in previous studies [18, 19] and 0.86 in this study.”
From Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions (2022) · cites this paper as [19]
Cronbach's alpha for behavioral intention in this study was 0.66.
“Cronbach’s α of the tool was ≥ 0.80 in a previous study [19] and 0.66 in this study.”
From Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions (2022) · cites this paper as [19]
Cronbach's alpha for self-efficacy in this study was 0.75.
“Cronbach’s α of the tool was ≥ 0.80 in previous studies [18, 19] and 0.75 in this study.”
From Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions (2022) · cites this paper as [19]
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- Authors
- 단국대학교 보건과학대학 보건행정학과, 연. 의., & Kim, J.-M.
- Corresponding author
- 단국대학교 보건과학대학 보건행정학과, 연세대학교 의료복지연구소
- Venue
- Convergence Society for SMB
- Publisher
- Convergence Society for SMB
- Published
- 2017-08-31
- Volume
- 7
- Issue
- 4
- Pages
- 53-60
- ISSN
- 2234-4438 (ISSN-L)
- OpenAlex
- W2767241443
- Cited by
- 21
- References
- 12
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 7 · 2023: 1 · 2022: 4 · 2020: 1 · 2019: 1
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- 융합정보논문지(구 중소기업융합학회논문지) (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence in healthcare, technology acceptance, UTAUT, intention to use, user attitudes, perceived usefulness, perceived ease of use, social influence, performance expectancy, anxiety, university students
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