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논문검색

Exploring AI Extensions of the Narrative-Timeline Model for VJing

원문정보

VJing을 위한 내러티브-타임라인 모델의 AI 확장 가능성 탐구

Minsu Song, Sanglim Han

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초록

영어

The purpose of this study is to develop a narrative-timeline framework for VJ practice that integrates artistic intention with technical execution. The model combines an eight-stage emotional narrative structure with a six-phase timeline workflow, positioning the VJ as both creative director and coordination mediator in live event production. Building on this foundation, the study explores how artificial intelligence can extend the framework through functions such as automated emotional tagging, predictive workflow optimization, and real-time conflict resolution. While still conceptual, the results indicate the design feasibility of a replicable blueprint for participatory and sustainable VJ practice. Future work will involve empirical validation and the development of AI-assisted tools that preserve human creative agency while expanding narrative and operational possibilities in live media performance.

목차

ABSTRACT
1. 서론
2. 내러티브-타임라인 통합 프레임워크
2.1 정서적 축: 변형된 내러티브 구조
2.2 타임라인 축: 워크플로우 구조
2.3 정서-타임라인 통합 큐잉 전략
3. 인공지능 확장 설계
3.1 기술적 구현에 대한 고려사항
3.2 인공지능 기술 통합 가능성
3.3 단계적 통합 로드맵
4. 결론 및 제언
Acknowledgement
참고문헌

저자정보

  • Minsu Song 송민수. Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, Seoul, South Korea
  • Sanglim Han 한상임. Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, Seoul, South Korea

참고문헌

자료제공 : 네이버학술정보

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