@inproceedings{df5eb2a601794b48bb356d4e6e74a68b,
title = "CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context",
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.",
keywords = "personalization, reading interfaces, scientific papers",
author = "Chang, {Joseph Chee} and Zhang, {Amy X.} and Jonathan Bragg and Andrew Head and Kyle Lo and Doug Downey and Weld, {Daniel S.}",
note = "Funding Information: This project is supported by NSF Grant OIA-2033558 and ONR Grant N00014-21-1-2707. The authors thank Marti A. Hearst, Matt Latzke, Evie Cheng, and Cassidy Trier for the insightful discussions and feedback. We also thank the anonymous reviewers for their constructive feedback. Finally, this work would not have been possible without our pilot test and user study participants. Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",
year = "2023",
month = apr,
day = "19",
doi = "10.1145/3544548.3580847",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",
}