메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
이승지 (인천가톨릭대) 박도희 (인천가톨릭대) 백진희 (인천가톨릭대)
저널정보
대한건축학회 대한건축학회논문집 大韓建築學會論文集 第40卷 第8號(通卷 第430號)
발행연도
2024.8
수록면
49 - 57 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Numerous studies have shown the importance of windows in architecture and their healing effect through external views. This study shares the same purpose but focuses on overall electroencephalogram (EEG) changes to derive tendencies and suggest design guidance, rather than relying on specific indicators based on window conditions in a small-sized room. Additionally, it examines the impact of images installed instead of windows. VR images were created according to the experimental variables, EEG measurements were taken, and data preprocessing and statistical analysis were performed. The study found that, first, small windows in a small room do not significantly affect EEG, while large windows influence multiple brain regions and frequencies, highlighting the importance of window size. To promote the user"s physical and physiological well-being, windows larger than a certain size are necessary. Second, images placed instead of windows in a small room also had a significant effect on EEG, with their impact on brain waves similar to that of large windows. Even without the functional roles of the window such as natural lighting, ventilation, and evacuation, installing images resembling the external environment can have positive effect. Third, the EEG analysis results were consistent with the post-experiment questionnaire, though participants preferred actual windows over images. This study provides objective evidence on the physiological effects of windows in architectural spaces and inderscores the need for research that considers the complexity of real spaces.

목차

Abstract
1. 서론
2. 이론과 선행연구 고찰
3. 실험과 분석 방법
4. 분석 결과와 논의 사항
5. 결론 및 논의
REFERENCES

참고문헌 (19)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-151-24-02-090277799