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
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2023.2
- 수록면
- 878 - 885 (8page)
이용수
초록· 키워드
Early screening of mild cognitive impairment (MCI) is important to prevent progression to Alzheimer’s disease. Recent studies have shown that technology-activities of daily living (T-ADL) ability, such as how well older adults use kiosks, is useful in assessing their cognitive impairment. Using virtual reality (VR) and eye tracking technology, an older adult’s T-ADL ability can be quantified through non-invasive eye tracking data. In this context, this study developed a ‘virtual kiosk test’ to assess T-ADL ability through eye tracking data analysis in VR, as a novel method for early screening of MCI. Nine healthy controls and 11 MCI patients were recruited. Subjects performed a virtual kiosk test and neuropsychological tests in a random order. Results showed that MCI patients exhibited worse eye tracking data-lower fixation count (p=0.04) and duration (p=0.03) for the target menu items-when performing the virtual kiosk test compared to healthy controls. A Support vector machine (SVM) using these eye tracking data was able to screen MCI patients with 80.16% accuracy, 72.73% sensitivity, 72.73% precision, and 72.73% F1 score. Our findings demonstrated the effectiveness of the virtual kiosk test to early screen MCI patients.
#Technology-activities of daily living
#Virtual reality
#Mild cognitive impairment
#Eye tracking
#Machine learning
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목차
- Abstract
- 1. Introduction
- 2. Related work
- 3. Methods
- 4. Results
- 5. Discussion and conclusion
- References
참고문헌
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