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
학술대회자료
저자정보
Chrysi Fytopoulou (IRIDA – Institute for research, study & application of colour)
저널정보
한국색채학회 AIC 2017 Jeju 2017 AIC CONGRESS
발행연도
2017.10
수록면
230 - 233 (4page)

이용수

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

초록· 키워드

오류제보하기
For the last seven years I and my group have been studying aura colours, as well as indicators in the aura and chakra, using an aura imaging device: the AVS 5.1 (Biofeedback technology).
The aim of our study was to establish whether aura colours are permanent, and furthermore to discover if and how these colours and indicators are connected with the person, in terms of personality traits, health issues and so on.

We started our study by analyzing the most obvious indicators.
Our sample comprises of a total of 471 individual sessions, with 138 individuals. The sessions took place in three different cities in Greece, at medical offices where homeopathy and psychotherapy are practiced, between December 2010 and May 2017.
The questions that were tested through the statistical analyses of our sample are:
1. Does the overall aura colour in a person tend to vary between different sessions?
2. Are specific aura colours (warm/cool colours) associated with higher stress levels?
3. Is there a relation between activity level in chakra and aura colours?
4. Is there a relation between chakra activity and aura size?
According to our results:
• 30% of the auras remained the same colour, 49% changed to the adjacent colour and 21% varied significantly during the sessions.
• Warm colours tend to be associated with higher stress levels.
• There is a slight tendency in warm aura colours to have higher activity levels in lower chakra, while cool colours in upper chakra.
• The higher the activity in the chakra the larger the aura size.

목차

ABSTRACT
INTRODUCTION
THEORY
EXPERIMENTAL
RESULTS AND DISCUSSION
CONCLUSION
REFERENCE

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2019-651-000501055