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

要旨

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.

受賞
Best Paper
著者
Joseph Chee Chang
Allen Institute for AI, Seattle, Washington, United States
Amy X.. Zhang
University of Washington, Seattle, Washington, United States
Jonathan Bragg
Allen Institute for Artificial Intelligence, Seattle, Washington, United States
Andrew Head
University of Pennsylvania, Philadelphia, Pennsylvania, United States
Kyle Lo
Allen Institute for Artificial Intelligence, Seattle, Washington, United States
Doug Downey
Allen Institute for Artificial Intelligence, Seattle, Washington, United States
Daniel S. Weld
Allen Institute for Artificial Intelligence, Seattle, Washington, United States
論文URL

https://doi.org/10.1145/3544548.3580847

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Tools for data scientists and Literature Reviews

Hall A
6 件の発表
2023-04-25 23:30:00
2023-04-26 00:55:00