현대 연극에서 전통 연기 기법과 즉흥・체험 훈련의 융합에 대한 고찰: 스타니슬라브스키와 체홉을 중심으로
A Study on the Convergence of Traditional Acting Methods with Improvisational and Experiential Training in Contemporary Theatre: Focusing on Stanislavski and Chekhov
수록페이지
p.1-21 (21pages)
조회수
32
다운로드
0
- 창간연도
- 2024년 1월
- ISSN
- (Print)3022-6678 , (Online)3022-6643
- 수록권호
- 제2권 2호 (통권 6호)
- 발행일
- 2025.04
- 수록논문
- 2 articles
- 유형
- 학술저널
- 주제
- 사회과학, 자연과학, 예술체육학, 복합학
- 발행기간
- 2024.01 ~ 2025.04
- 발행주기
- 연 4회(계간)
- 총 권호 수
- 6 volumes
- 총 논문 수
- 37 articles
키워드
초록
This study examines how traditional acting methodologies are being reinterpreted and merged with improvisational and experiential practices in contemporary theatre. By investigating key concepts such as Stanislavski’s ‘magic if’ and ‘emotional memory’ and Chekhov’s ‘psychological gesture’, the research explores how modern actors enhance authenticity and immediacy on stage. The methodology combines literature review— analyzing original texts by Stanislavski and Chekhov along with contemporary improvisation theory—with practice-based case studies of recent productions including ‘Hamilton’ and ‘The Ferryman’, utilizing practice-based research approaches and participant observation. The findings reveal that the convergence of traditional techniques and modern training deepens the fundamental principles of ‘truthfulness’ and ‘presence’ in acting rather than merely combining techniques. This integrated approach enables actors to balance analytical understanding with intuitive responses, internal immersion with external expression, and textual fidelity with improvisational emergence. It also strengthens the living communion between performers and audience, transforming performances into more immediate and engaging events. Future research should explore experiential training using new technologies like VR and AR, compare traditional-modern technique fusion across diverse cultural contexts, empirically investigate the effects of integrated training on actors’ psychological stability and expressiveness, and develop new convergent training models for digital native generations.참고문헌 (0)
- 이전논문없음 (현재 논문이 "혁신과융합 제2권 2호 (통권 6호)"의 처음 논문입니다.)
- 다음논문군용 차량 및 무인 로봇의 신뢰성 향상을 위한 다중 레이블 학습 기반 예측 정비(PHM) 시스템 A Multi-Label Learning-Based PHM System for Enhancing Reliability in Military Vehicles and Unmanned Robots