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CiteSee:利用持续和个性化的历史背景在科学论文中增加引文

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context

Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld

摘要:

在阅读学术文章时,内联引用可以帮助研究人员了解当前文章的背景,并发现相关的先前工作。然而,在文献综述过程中遇到的数百条引文的优先顺序和意义可能是具有挑战性的。本文介绍了CiteSee,一个论文阅读工具,利用用户的出版,阅读和保存活动,提供个性化的视觉增强和引用的上下文。首先,CiteSee通过显示用户引用或打开的已知引文,将当前论文与熟悉的上下文联系起来。其次,CiteSee根据保存和阅读历史,通过突出显示相关但未知的引文,帮助用户优先考虑他们的探索。我们进行了一项实验室研究,表明CiteSee在论文发现方面比三个基线更有效。一项现场部署研究表明,CiteSee可以帮助参与者跟踪他们的探索,并在进行真实世界的文献综述时,通过内联引用提高情境意识和论文发现率。

英文摘要:

When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize and make sense of the hundreds of citations encountered during literature reviews. This paper introduces CiteSee, a paper reading tool that leverages a user's publishing, reading, and saving activities to provide personalized visual augmentations and context around citations. First, CiteSee connects the current paper to familiar contexts by surfacing known citations a user had cited or opened. Second, CiteSee helps users prioritize their exploration by highlighting relevant but unknown citations based on saving and reading history. We conducted a lab study that suggests CiteSee is significantly more effective for paper discovery than three baselines. A field deployment study shows CiteSee helps participants keep track of their explorations and leads to better situational awareness and increased paper discovery via inline citation when conducting real-world literature reviews.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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