Are Users of Digital Archives Ready for the AI Era? Obstacles to the Application of Computational Research Methods and New Opportunities

Are Users of Digital Archives Ready for the AI Era? Obstacles to the Application of Computational Research Methods and New Opportunities
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数字档案用户准备好迎接人工智能时代了吗?

DOI:
10.1145/3631125
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发表时间:
2024
期刊:
Journal on Computing and Cultural Heritage
影响因子:
--
通讯作者:
Jaillant L
Jaillant L
中科院分区:
--
文献类型:
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作者:
Jaillant L

文献摘要

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创新技术正在改善非数字化和数字化记录的可访问性、保存性和可搜索性。特别是,人工智能为档案管理员和研究人员提供了新的机会。然而,学者(特别是人文学者)和其他用户的经验仍然研究不足。这篇文章问为什么研究人员和一般用户使用或不使用计算方法。这项研究是由一个开放式的电话调查,由22个人完成,和半结构化的采访33专业人士,包括档案管理员,图书馆员,数字人文主义者,文学学者,历史学家和计算机科学家。利用这些结果,本文提供了一个分析的用户体验的计算研究方法应用于数字化和数字化档案馆。本文以人文和社会科学研究人员为重点,还讨论了抵制此类研究的用户,也许是因为他们缺乏大规模使用这些材料所需的技能,或者是因为他们更喜欢使用更传统的方法,例如仔细阅读和历史分析。阅读和历史分析。在这里,我们探讨了使用计算和更“传统”的研究方法应用于数字记录。我们还提出了一系列建议,以提高用户的计算技能,同时改善数字基础设施,使档案更容易获得和使用。
Innovative technologies are improving the accessibility, preservation, and searchability of born-digital and digitised records. In particular, Artificial Intelligence is opening new opportunities for archivists and researchers. However, the experience of scholars (particularly humanities scholars) and other users remain understudied. This article askshowandwhyresearchers and general users are, or are not, using computational methods. This research is informed by an open-call survey, completed by 22 individuals, and semi-structured interviews with 33 professionals, including archivists, librarians, digital humanists, literary scholars, historians, and computer scientists. Drawing on these results, this article offers an analysis of user experiences of computational research methods applied to digitised and born-digital archives. With a focus on humanities and social science researchers, this article also discusses users who resist this kind of research, perhaps because they lack the skills necessary to engage with these materials at scale, or because they prefer to use more traditional methods, such as close reading and historical analysis. Here, we explore the uses of computational and more “traditional” research methodologies applied to digital records. We also make a series of recommendations to elevate users’ computational skills but also to improve the digital infrastructure to make archives more accessible and usable.