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생성형 AI 챗봇을 활용한 문학연구의 가능성과 한계 ― ChatGPT-4.o 기반 장대(張岱) 챗봇 ‘대화(岱話)’의 제작과 적용 사례

Possibilities and Limitations of Literary Research Utilizing Generative AI Chatbots:A Case Study on the Creation and Application of ‘Daihua (岱話)’, a Zhang Dai(張岱) Chatbot Based on ChatGPT-4.o

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초록

The study explores the possibilities and limitations of utilizing generative AI chatbots, specifically ChatGPT-4.0, in literary research. By creating a persona chatbot named ‘Daihua’ based on the late Ming Dynasty literati Zhang Dai and applying it to author studies, the practical application of this research was analyzed. The chatbot ‘Daihua’ was designed to respond in a manner reflecting Zhang Dai’s literary style and tone, providing researchers with an experience akin to conversing with the actual author. The results demonstrated that generative AI chatbots could serve as valuable tools for quickly retrieving literary materials and efficiently providing the necessary information to researchers. Additionally, by recreating dialogues between the author and related figures through the multi-persona technique, the study stimulated researchers' imaginations and enabled in-depth research. However, issues such as the variability of responses and the bias in training data were identified. Moreover, there were limitations related to hallucinations and the need to rely on prompt engineering to mitigate them. In conclusion, generative AI chatbots hold significant potential as innovative tools for literary research. Future research should focus on specific solutions to these problems and further explore the potential of AI chatbots through various cases across the literary field.

Abstract

The study explores the possibilities and limitations of utilizing generative AI chatbots, specifically ChatGPT-4.0, in literary research. By creating a persona chatbot named ‘Daihua’ based on the late Ming Dynasty literati Zhang Dai and applying it to author studies, the practical application of this research was analyzed. The chatbot ‘Daihua’ was designed to respond in a manner reflecting Zhang Dai’s literary style and tone, providing researchers with an experience akin to conversing with the actual author. The results demonstrated that generative AI chatbots could serve as valuable tools for quickly retrieving literary materials and efficiently providing the necessary information to researchers. Additionally, by recreating dialogues between the author and related figures through the multi-persona technique, the study stimulated researchers' imaginations and enabled in-depth research. However, issues such as the variability of responses and the bias in training data were identified. Moreover, there were limitations related to hallucinations and the need to rely on prompt engineering to mitigate them. In conclusion, generative AI chatbots hold significant potential as innovative tools for literary research. Future research should focus on specific solutions to these problems and further explore the potential of AI chatbots through various cases across the literary field.

참고문헌 (18)

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  2. 張岱, "嫏嬛文集" (2015), 浙江古籍出版社
  3. 張岱, "快園道古" (2013), 浙江古籍出版社
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  8. 장 대, "도암몽억" (2020), 세창출판사
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  14. 강병규, "AI의 중국 古典詩歌 창작— 詩語의 학습과 생성", 중국문학, 100 (2019)
  15. 김지우, "챗봇빌더 기반의<홍길동전> 챗봇 프로토타입 연구개발: 고전소설과 컴퓨팅 사고의 융합 교육을 중심으로", 국제어문, 88 (2021)
  16. "Open AI"[URL]
  17. "위키문고"[URL]
  18. "Chinese Text Project"[URL]

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