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

논문 기본 정보

자료유형
학술저널
저자정보
Park, In-Kwa (Dept. of Korean Language and Literature, Korea University)
저널정보
(사)국제문화기술진흥원 The International journal of advanced culture technology The International journal of advanced culture technology 제6권 제2호
발행연도
2018.1
수록면
100 - 106 (7page)

이용수

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

초록· 키워드

오류제보하기
Sometimes, literary therapy is to create an abscission layer at the mind and remove the signifier of love, by the abscission layer. The purpose of this study is to reveal the mechanism of literary therapy by mutation in human-created sentences and to activate literary therapy. In Gosijo, the abscission layer of Seo Gyeongdok's mind is present in the layer of the "falling leaf" of the his Sijo's last sentence, and the abscission layer of Hwang Jin-yi's mind exists in the layer of the "falling leaf" of the her Sijo's last sentence. The "falling leaf" created by the abscission layer of Seo Gyeongdok's sentence acts as an action potential to the nervous system of Hwang Jin-yi. In Hwang Jin-yi's Sijo, the abscission layer is also activated, forming a "leaf". Hwang Jin-yi's Sijo constructs a new sensory layer that is extended and mutated more than the meaning of space between lines of Seo Gyeongdok's Sijo. In her Sijo, Hwang Jin-yi twists and twists Seo Gyeongdok's sentences to squeeze the sound. She accepts the Seo Gyeongdok's sentences and twists in the first sentence and twists out of the second sentence once more to produce the mutation in the last sentence. As a result of her sentence twist, Seo Kyung-duk's visual sense of "falling leaf" is mutated into a "falling leaf's sound" of auditory sense. This mutation process works as a healing mechanism in the human body. If this study will continue in the future, it will be possible to activate literary therapy by Sijo.

목차

등록된 정보가 없습니다.

참고문헌 (32)

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