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Generative AI-Based Narrative Reconstruction of Don Quixote : Application of the MacGuffin Technique

원문정보

생성형 AI를 활용한 돈키호테 서사의 재구성 : 맥거핀 기법의 적용

Hyung Jun Park, JungYoon Kim

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초록

영어

This paper examines the story generation capabilities of generative AI, which are increasingly utilized across various industries. The narrative of the classic novel Don Quixote was input into ChatGPT, a generative AI model, and reconstructed through natural language prompts that applied the MacGuffin technique to create new story structures. The AI-generated narratives, produced in the forms of synopses and scene-by-scene treatments, were compared with the original work to evaluate narrative completeness. Furthermore, the reconstructed narratives were transformed into screenplay and game event formats to assess their potential applications in various media content. The results indicate that generative AI achieved meaningful outcomes in restructuring the original story into a reversal-based narrative using the MacGuffin structure. It also demonstrated sufficient capability to adapt stories for character dialogues and scene direction. Therefore, this paper suggests that generative AI can function as a supportive tool for human writers in the idea development and pre-production stages of screenplay and digital content creation.

목차

ABSTRACT
1. 서론
2. 이론적 배경
2.1 생성형 AI 활용, 스토리 창작
2.2 소설 돈키호테
2.3 맥거핀 기법
3. 연구 방법
3.1 연구 설계
3.2 프롬프트(prompt) 입력
4. 결과
5. 고찰
6. 결론
Acknowledgement
참고문헌

저자정보

  • Hyung Jun Park 박형준. Department of Game and Interactive Media, Gachon University Seongnam, Korea
  • JungYoon Kim 김정윤. Professor, Department of Game Media, College of IT Convergence, Gachon Univ.

참고문헌

자료제공 : 네이버학술정보

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