图书情报知识 ›› 2025, Vol. 42 ›› Issue (3): 76-87.doi: 10.13366/j.dik.2025.03.076

• 图书、文献与交流 • 上一篇    下一篇

复调合唱:生成式AI驱动的文化遗产互动数字叙事机理

黎安润泽1, 牛力1,2, 刘慧琳3, 金持1   

  1. 1. 中国人民大学信息资源管理学院,北京,100872;
    2. 中国人民大学 CIO 研究中心,北京,100872;
    3. 中国农业大学图书馆,北京,100083
  • 出版日期:2025-05-10 发布日期:2025-06-23
  • 通讯作者: 牛力(ORCID: 0000-0002-9976-6633),博士,教授,研究方向:数字人文、档案知识服务,Email: rucniuli@ruc.edu.cn。
  • 作者简介:黎安润泽(ORCID: 0000-0003-2916-6648),博士研究生,研究方向:数字人文、数字叙事,Email: li-anrunze@163.com;刘慧琳(ORCID:0000-0002- 4368-2684),博士,馆员,研究方向:知识组织与服务,Email: 15001250588@163.com;金持(ORCID: 0009-0009-4010-2718),博士研究生,研究方向:数字人文,Email: jinchi997@163.com。
  • 基金资助:
    本文系国家社会科学基⾦文化遗产保护传承研究专项“博物馆藏品管理与研究数字化趋势及应用”(24VWB029)研究成果之一。

Polyphonic Chorus: Interactive Digital Narrative Mechanisms for Cultural Heritage Driven by Generative Artificial Intelligence

LI Anrunze1, NIU Li1,2, LIU Huilin3, JIN Chi1   

  1. 1. School of Information Resource Management, Renmin University of China, Beijing, 100872;
    2. CIO Research Center, Renmin University of China, Beijing, 100872;
    3. China Agricultural University Library, Beijing, 100083
  • Online:2025-05-10 Published:2025-06-23
  • Contact: Correspondence should be addressed to NIU Li, Email: rucniuli@ruc.edu.cn, ORCID: 0000-0002-9976-6633
  • Supported by:
    This is an outcome of the Special Project on Cultural Heritage Protection and Inheritance "Digital Trends and Applications in Museum Collection Management and Research"(24VWB029)supported by National Social Science Foundation of China.

摘要: [目的/意义]在国家文化数字化的战略背景下,探讨如何利用生成式人工智能技术表现出的知识生产、自由创作、协同体验特性,应对文化遗产叙事模式数智化、参与式的转向挑战。[研究设计/方法]基于多学科文献研究,梳理生成式人工智能的技术特征及其与互动数字叙事机理的关联。[结论/发现]基于SPP框架,从叙事系统(system)、进程(process)、产品(product)三个维度,构建了生成式人工智能驱动下的文化遗产互动数字叙事新模式,表现为能够理解与重构文化遗产内容,并通过拟人化的人机交互方式,赋予公众创作故事的自由和共创体验。[创新/价值]借助生成式人工智能的能力,塑造了一条更具交互性的故事产出路径,强调个性化创作和沉浸式参与,交织成文化遗产数据故事的“复调”,为促进公众的文化记忆建构与身份认同提出新的可行方案。

关键词: 生成式人工智能, 文化遗产, 互动数字叙事, 数据故事, 文化记忆

Abstract: [Purpose/Significance] Against the backdrop of the national strategy for cultural digitization, this study explores the potential of leveraging the characteristics of knowledge production, free creation, and collaborative experience inherent in generative artificial intelligence technology to tackle the challenges brought by the transformation of cultural heritage narrative models toward digital intelligent and participatory forms. [Design/Methodology] Based on multidisciplinary literature, this study combs through the technical characteristics of generative AI and its correlations with the mechanisms of interactive digital narrative. [Findings/Conclusion] Based on the SPP framework, the study constructs a new model of interactive digital narrative of cultural heritage driven by generative AI from three dimensions: the narrative system, process, and product. It is manifested as the ability to understand and reconstruct the cultural heritage content, and through anthropomorphic human-computer interaction, it endows the public with the freedom to create stories and a co-creation experience. [Originality/Value] By leveraging the capabilities of generative AI, the study establishes a more interactive path for story generation, emphasizing personalized creation and immersive participation. The result is a "polyphonic" digital narrative of cultural heritage, offering a new and feasible approach to fostering public cultural memory construction and identity formation.

Keywords: Generative artificial intelligence, Cultural heritage, Interactive digital narrative, Data story, Cultural memory