Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2968220.2968242acmotherconferencesArticle/Chapter ViewAbstractPublication PagesvinciConference Proceedingsconference-collections
research-article

A Guided Tour of Literature Review: Facilitating Academic Paper Reading with Narrative Visualization

Published: 24 September 2016 Publication History

Abstract

Reading academic paper is a daily task for researchers and graduate students. However, reading effectively can be challenging, particularly for novices in scientific research. For example, when readers are reading the related work section that cites a fair number of references in limited page space, they often need to flip back and forth between the text and the references and may also frequently search elsewhere for more information about the references. This increases the difficulty of understanding a paper. In this paper, we propose a narrative visualization system that helps the reading of academic papers. As a first step, we adopt narrative visualization to present literature review as interactive slides. Specifically, we propose a narrative structure with three levels of granularities that the reader can drill down or roll up freely. The logic flow of a slideshow can be organized based on the paper's presentation or citations. We demonstrate the effectiveness of our system through several case studies and user studies. The results show that the system allows users to quickly track and glance related work, making paper reading more effective and enjoyable.

References

[1]
Transition words. https://www.msu.edu/user/jdowell/135/transw.html\#anchor1692438.
[2]
Wiley online library. http://onlinelibrary.wiley.com/.
[3]
F. Amini, N. H. Riche, B. Lee, C. Hurter, and P. Irani. Understanding data videos: Looking at narrative visualization through the cinematography lens. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 1459--1468. ACM, 2015.
[4]
E. Bahna and R. J. Jacob. Augmented reading: presenting additional information without penalty. In CHI'05 Extended Abstracts on Human Factors in Computing Systems, pages 1909--1912. ACM, 2005.
[5]
R. Biedert, G. Buscher, S. Schwarz, J. Hees, and A. Dengel. Text 2.0. In CHI'10 Extended Abstracts on Human Factors in Computing Systems, pages 4003--4008. ACM, 2010.
[6]
D. H. Chau, A. Kittur, J. I. Hong, and C. Faloutsos. Apolo: making sense of large network data by combining rich user interaction and machine learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 167--176. ACM, 2011.
[7]
W. Cui, S. Liu, L. Tan, C. Shi, Y. Song, Z. Gao, H. Qu, and X. Tong. Textflow: Towards better understanding of evolving topics in text. Visualization and Computer Graphics, IEEE Transactions on, 17(12):2412--2421, 2011.
[8]
M. Ernst. Writing a technical paper. https://homes.cs.washington.edu/~mernst/advice/write-technical-paper.html\#related-work, 2015.
[9]
P. Goffin, W. Willett, J.-D. Fekete, and P. Isenberg. Exploring the placement and design of word-scale visualizations. 2014.
[10]
S. Gratzl, A. Lex, N. Gehlenborg, H. Pfister, and M. Streit. Lineup: Visual analysis of multi-attribute rankings. Visualization and Computer Graphics, IEEE Transactions on, 19(12):2277--2286, 2013.
[11]
S. Havre, E. Hetzler, P. Whitney, and L. Nowell. Themeriver: Visualizing thematic changes in large document collections. Visualization and Computer Graphics, IEEE Transactions on, 8(1):9--20, 2002.
[12]
F. Heimerl, Q. Han, and S. Koch. Citerivers: Visual analytics of citation patterns. Visualization and Computer Graphics, IEEE Transactions on, 22(1):190--199, 2016.
[13]
J. Hullman and N. Diakopoulos. Visualization rhetoric: Framing effects in narrative visualization. Visualization and Computer Graphics, IEEE Transactions on, 17(12):2231--2240, 2011.
[14]
J. Hullman, S. Drucker, N. H. Riche, B. Lee, D. Fisher, and E. Adar. A deeper understanding of sequence in narrative visualization. Visualization and Computer Graphics, IEEE Transactions on, 19(12):2406--2415, 2013.
[15]
H. Kang, C. Plaisant, B. Lee, and B. B. Bederson. Netlens: iterative exploration of content-actor network data. Information Visualization, 6(1):18--31, 2007.
[16]
S. Koch, M. John, M. Worner, A. Müller, and T. Ertl. Varifocalreader--in-depth visual analysis of large text documents. 2014.
[17]
R. S. Laramee. How to write a visualization research paper: A starting point. In Computer Graphics Forum, volume 29, pages 2363--2371. Wiley Online Library, 2010.
[18]
R. S. Laramee. How to read a visualization research paper: Extracting the essentials. IEEE computer graphics and applications, 31(3):78--82, 2011.
[19]
T. Lavie and N. Tractinsky. Assessing dimensions of perceived visual aesthetics of web sites. International journal of human-computer studies, 60(3), 2004.
[20]
B. Lee, M. Czerwinski, G. Robertson, and B. B. Bederson. Understanding research trends in conferences using paper-lens. In CHI'05 extended abstracts on Human factors in computing systems. ACM, 2005.
[21]
J. R. Lewis. Ibm computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction, 7(1), 1995.
[22]
S. Liu, W. Cui, Y. Wu, and M. Liu. A survey on information visualization: recent advances and challenges. The Visual Computer, 30(12):1373--1393, 2014.
[23]
C. D. Manning, P. Raghavan, and H. Schütze. Introduction to information retrieval, volume 1. Cambridge university press Cambridge, 2008.
[24]
J. Matejka, T. Grossman, and G. Fitzmaurice. Citeology: visualizing paper genealogy. In CHI'12 Extended Abstracts on Human Factors in Computing Systems, pages 181--190. ACM, 2012.
[25]
P. Montuschi and A. Benso. Augmented reading: The present and future of electronic scientific publications. Computer, 47(1):64--74, 2014.
[26]
K. O'hara and A. Sellen. A comparison of reading paper and on-line documents. In Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, pages 335--342. ACM, 1997.
[27]
V. Qazvinian and D. R. Radev. Scientific paper summarization using citation summary networks. In Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1, pages 689--696. Association for Computational Linguistics, 2008.
[28]
T. Regan and L. Becker. Visualizing the text of (children's) book series. http://research.microsoft.com/en-us/projects/bookviz/default.aspx, 2015.
[29]
E. Segel and J. Heer. Narrative visualization: Telling stories with data. Visualization and Computer Graphics, IEEE Transactions on, 16(6):1139--1148, 2010.
[30]
C. Shi, Y. Wu, S. Liu, H. Zhou, and H. Qu. Loyaltracker: Visualizing loyalty dynamics in search engines. 2014.
[31]
R. Socher, A. Perelygin, J. Y. Wu, J. Chuang, C. D. Manning, A. Y. Ng, and C. Potts. Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the conference on empirical methods in natural language processing (EMNLP), volume 1631, page 1642. Citeseer, 2013.
[32]
J. Stasko, J. Choo, Y. Han, M. Hu, H. Pileggi, R. Sadanaand, and C. D. Stolper. Citevis: Exploring conference paper citation data visually. Posters of IEEE InfoVis, 2013.
[33]
M. Tremaine. How to write a technical paper in english. Course material from http://www.eventbrite.com/e/caip-technical-paper-writing-course-tickets-451147394, 2009.
[34]
Y. Wu, F. Wei, S. Liu, N. Au, W. Cui, H. Zhou, and H. Qu. Opinionseer: interactive visualization of hotel customer feedback. Visualization and Computer Graphics, IEEE Transactions on, 16(6):1109--1118, 2010.

Cited By

View all
  • (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
  • (2024)PUREsuggest: Citation-Based Literature Search and Visual Exploration with Keyword-Controlled RankingsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345619931:1(316-326)Online publication date: 10-Sep-2024
  • (2023)CriTrainer: An Adaptive Training Tool for Critical Paper ReadingProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606816(1-17)Online publication date: 29-Oct-2023
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
VINCI '16: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction
September 2016
173 pages
ISBN:9781450341493
DOI:10.1145/2968220
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2016

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Data Storytelling
  2. Literature Review
  3. Narrative Structure
  4. Narrative Visualization
  5. Related Work
  6. Text Visualization

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • National Basic Research Program of China (973 Program)
  • RGC GRF

Conference

VINCI '16

Acceptance Rates

VINCI '16 Paper Acceptance Rate 14 of 42 submissions, 33%;
Overall Acceptance Rate 71 of 193 submissions, 37%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)97
  • Downloads (Last 6 weeks)8
Reflects downloads up to 14 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (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
  • (2024)PUREsuggest: Citation-Based Literature Search and Visual Exploration with Keyword-Controlled RankingsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345619931:1(316-326)Online publication date: 10-Sep-2024
  • (2023)CriTrainer: An Adaptive Training Tool for Critical Paper ReadingProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606816(1-17)Online publication date: 29-Oct-2023
  • (2023)How Data Scientists Review the Scholarly LiteratureProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578309(137-152)Online publication date: 19-Mar-2023
  • (2023)ComLittee: Literature Discovery with Personal Elected Author CommitteesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581371(1-20)Online publication date: 19-Apr-2023
  • (2022)Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific LiteratureProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545660(1-15)Online publication date: 29-Oct-2022
  • (2022)Authoring and Reviewing Bibliographies: Design and Development of a Visual Analytics Online PlatformIEEE Access10.1109/ACCESS.2022.315302710(21631-21645)Online publication date: 2022
  • (2022)CReBotInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102898167:COnline publication date: 1-Nov-2022
  • (2020)Understanding and Supporting Academic Literature Review Workflows with LitSenseProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399830(1-5)Online publication date: 28-Sep-2020
  • (2020)GlassViz: Visualizing Automatically-Extracted Entry Points for Exploring Scientific Corpora in Problem-Driven Visualization Research2020 IEEE Visualization Conference (VIS)10.1109/VIS47514.2020.00052(226-230)Online publication date: Oct-2020
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media