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, and Daniel S. Weld. ACM CHI 2023 (r=%, N=3182)

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CiteSee provides a personalized paper reading experience by visually augmenting inline citations based on their connections to the current user based on their reading history, paper library, and publication records. During literature review sessions, CiteSee allows users to prioritize their exploration to focus first on inline citations most relevant to their recent readings. It also highlights inline citations to familiar papers, allowing users to keep track of their exploration and better contexturalize the current paper. Lab and field studies showed CiteSee can improve better paper discovery via inline citations, and allowed participants to have better situational awareness when conducting real-world literature reviews.

Abstract

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.

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Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle
Lo, Doug Downey, and Daniel S. Weld. 2023.
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context.
In Proceedings of the 2023 CHI Conference on Human Factors in Computing
Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany. ACM, New York,
NY, USA, Article 111, 15 pages. https://doi.org/10.1145/3544548.3580847

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