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.
학술대회자료
Full-text
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Objective: The aim is to develop a system that can measure the executive functions in daily life away from the classical executive functions measurement system. Background: The Tower of London test, one of the classics of executive functions tests, is mainly used to measure planning. Although it is available for all ages and has the advantage of being able to analyze various factors, it also has the same disadvantages as many accompanying sub-tests. Thus, we improved and developed a Measuring System for the Executive Functions in Virtual Kitchen Environment. Design: The system has a scenario like "You have to clean up the kitchen before your friend comes.!" On the kitchen table is a post-it with the name of the kitchenware, and various kitchenware. Users should clean up the kitchen as soon as possible and ticktack sounds are played to make the situation aware. The Data collect the number of movements (grab, release times), the time is taken, the moving distance in the kitchen, data on the trajectory of the hand, and the number of matches between words and objects. Results: An expert evaluation was conducted. The advantage of being able to measure planning in daily life from a medical perspective and the proper VR environment setting from an HCI perspective have been verified. Conclusion: Development of the measuring system for the executive functions in a virtual kitchen environment is of significance to be able to measure executive functions based on actual daily life. Application: This work was supported by Institute for Information & Communications Technology Promotion(IITP) grant funded by the Korean Government(MSIP) (No. 2019-0-01569, Development of VR and IoT-based Systems for Evaluation of Embodied Cognition)
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2021-530-001580884
