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AIGC赋能的档案数字叙事模型研究

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随着生成式算法、预训练大模型等技术的持续突破,人工智能生成内容(AIGC)技术实现了从理解到生成的飞跃,为档案数字叙事带来发展的契机.本文在综述档案数字叙事现状的基础上,剖析了AIGC技术在档案资源关联、多模态创作、沉浸式表达以及用户互动等方面的独特优势,进而从基础支持、数据资源、叙事创作、叙事表达、用户体验这五个层面构建了AIGC赋能的档案数字叙事模型,从档案叙事理念、档案资源、叙事评价以及数据安全这四个方面提出了模型实现方法,旨在推进档案数字叙事发展、讲好档案故事.
With the continuous breakthroughs in technologies such as generative algorithms and pre trained large models,artificial intelligence generated content (AIGC) technology has achieved a leap from understanding to generation,bringing opportunities for the development of digital narrative in archives.On the basis of summarizing the current situation of archival digital narrative,this article analyzes the unique advantages of AIGC technology in archival resource association,multimodal creation,immersive expression,and user interaction.Then,from the five levels of basic support,data resources,narrative creation,narrative expression,and user experience,an archival digital narrative model empowered by AIGC is constructed.The model implementation method is proposed from four aspects,archival narrative concept,archival resources,narrative evaluation,and data security,aiming to promote the development of archival digital narrative and tell archival stories well.

AIGCDigital Narrative of ArchivesArchival Narrative

刘钟实、周耀林

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武汉大学信息管理学院

武汉大学政务管理研究中心

AIGC 档案数字叙事 档案叙事

2024

浙江档案
浙江省档案局 浙江省档案学会

浙江档案

CHSSCD北大核心
影响因子:0.181
ISSN:1006-4176
年,卷(期):2024.(10)