research-article

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

Authors:

Joseph Chee Chang,

Jonathan Bragg,

Daniel S. WeldAuthors Info & Claims

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Article No.: 737, Pages 1 - 15

https://doi.org/10.1145/3544548.3580847

Published: 19 April 2023 Publication History

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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Cited By

Goree SAppleby GCrandall DSu N(2024)Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research PaperProceedings of the ACM on Human-Computer Interaction10.1145/36869558:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686955
Lo KChang JHead ABragg JZhang ATrier CAnastasiades CAugust TAuthur RBragg DBransom ECachola ICandra SChandrasekhar YChen YCheng EChou YDowney DEvans RFok RHu FHuff RKang DTae SKinney RKittur AKang HKlevak EKuehl BLangan MLatzke MLochner JMacMillan KMarsh EMurray TNaik ANguyen NPalani SPark SPaulic CRachatasumrit NRao SSayre PShen ZSiangliulue PSoldaini LTran Hvan Zuylen MWang LWilhelm CWu CYang JZamarron AHearst MWeld D(2024)The Semantic Reader ProjectCommunications of the ACM10.1145/365909667:10(50-61)Online publication date: 26-Sep-2024
https://dl.acm.org/doi/10.1145/3659096
Fok RChang JAugust TZhang AWeld D(2024)Qlarify: Recursively Expandable Abstracts for Dynamic Information Retrieval over Scientific PapersProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676397(1-21)Online publication date: 13-Oct-2024
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Index Terms

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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cover image ACM Conferences

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

April 2023

14911 pages

ISBN:9781450394215

DOI:10.1145/3544548

Editors:
Albrecht Schmidt
LMU Munich, Germany60028717
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Kaisa Väänänen
Tampere University, Finland60011170
,
Tesh Goyal
Google Research, USA60006191
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Per Ola Kristensson
University of Cambridge, UK60031101
,
Anicia Peters
University of Namibia, Namibia60072704
,
Stefanie Mueller
Massachusetts Institute of Technology, USA60022195
,
Julie R. Williamson
University of Glasgow, UK60001490
,
Max L. Wilson
University of Nottingham, UK60015138

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Cited By

Goree SAppleby GCrandall DSu N(2024)Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research PaperProceedings of the ACM on Human-Computer Interaction10.1145/36869558:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686955
Lo KChang JHead ABragg JZhang ATrier CAnastasiades CAugust TAuthur RBragg DBransom ECachola ICandra SChandrasekhar YChen YCheng EChou YDowney DEvans RFok RHu FHuff RKang DTae SKinney RKittur AKang HKlevak EKuehl BLangan MLatzke MLochner JMacMillan KMarsh EMurray TNaik ANguyen NPalani SPark SPaulic CRachatasumrit NRao SSayre PShen ZSiangliulue PSoldaini LTran Hvan Zuylen MWang LWilhelm CWu CYang JZamarron AHearst MWeld D(2024)The Semantic Reader ProjectCommunications of the ACM10.1145/365909667:10(50-61)Online publication date: 26-Sep-2024
https://dl.acm.org/doi/10.1145/3659096
Fok RChang JAugust TZhang AWeld D(2024)Qlarify: Recursively Expandable Abstracts for Dynamic Information Retrieval over Scientific PapersProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676397(1-21)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676397
Zhu SHaisfield RLangen BChan J(2024)Patterns of Hypertext-Augmented SensemakingProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676338(1-17)Online publication date: 13-Oct-2024
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Sun LChan AChang YDow S(2024)ReviewFlow: Intelligent Scaffolding to Support Academic Peer ReviewingProceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640543.3645159(120-137)Online publication date: 18-Mar-2024
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Choe KPark SJung SKim HYang JHong HSeo J(2024)Supporting Novice Researchers to Write Literature Review using Language ModelsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650787(1-9)Online publication date: 11-May-2024
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Wu CChakravorti TCarroll JRajtmajer S(2024)Integrating measures of replicability into scholarly search: Challenges and opportunitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3643043(1-18)Online publication date: 11-May-2024
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