AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (9.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Open Access

ManyInsights: A Visual Analytics Approach to Supporting Effective Insight Management

Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Show Author Information

Abstract

Although significant progress has been made towards effective insight discovery in visual analytics systems, there are few effective approaches for managing the large number of insights generated in visual analytics processes. This paper presents ManyInsights, a multidimensional visual analytics prototype that integrates several novel insight management approaches proposed by the authors in their previous work. These approaches include insight annotation, browsing, retrieval, organization, and association. This paper also reports a long-term case study that evaluated ManyInsights with a domain expert, realistic analytic tasks, and real datasets.

References

[1]
J. Thomas and K. Cook, Illuminating the Path: The Research and Development Agenda for Visual Analytics, Washington DC: IEEE Computer Society Press, 2005.
[2]
Z. Pousman and J. Stasko, Casual information visualization: Depictions of data in everyday life, IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1145-1152, 2007.
[3]
S. Wehrend and C. Lewis, A problem-oriented classification of visualization technique, in Proc. 1st Conference on Visualization, 1990, pp. 139-143.
[4]
Y. Chen, J. Yang, and W. Ribarsky, Toward effective insight management in visual analytic systems, in IEEE Pacific Visualization Symposium, 2009, pp. 49-56.
[5]
F. B. Viegas, M. Wattenberg, F. van Ham, J. Kriss, and M. M. McKeon, ManyEyes: A site for visualization at internet scale, IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1121-1128, 2007.
[6]
J. Heer, F. B. Viegas, and M. Wattenberg, Voyagers and voyeurs: Supporting asynchronous collaborative information visualization, in Proc. ACM SIGCHI Conference on Human Factors in Computing Systems, 2007, pp. 1029-1038.
[7]
Y. B. Shrinivasan and J. van Wijk, Supporting the analytical reasoning process in information visualization, in Proc. ACM SIGCHI Conference on Human Factors in Computing Systems, 2008, pp. 1237-1246.
[8]
Y. Chen, S. Barlowe, and J. Yang, Click2Annotate: Automated insight externalization with rich semantics, in IEEE Conference on Visual Analytics Science and Technology, 2010, pp. 155-162.
[9]
Y. Chen, J. Alsakran, S. Barlowe, J. Yang, and Y. Zhao, Supporting effective common ground construction in asynchronous collaborative visual analytics, in IEEE Conference on Visual Analytics Science and Technology, 2011, pp. 23-28.
[10]
R. Amar, J. Eagan, and J. Stasko, Low-level components of analytic activity in information visualization, in Proc. IEEE Symposium on Information Visualization, 2005, pp.111-147.
[11]
A. C. Robinson, Collaborative synthesis of visual analytic results, in Proc. IEEE Symposium on Visual Analytics Science and Technology, 2008, pp. 67-74.
[12]
S. E. Ellis and D. P. Groth, A collaborative annotation system for data visualization, in Proc. Working Conference on Advanced Visual Interfaces, 2004, pp. 411-414.
[13]
D. Yang, Z. Xie, E. Rundensteiner, and M. Ward, Managing discoveries in the visual analytics process, ACM SIGKDD Explorations Newsletter, vol. 9, no. 2, pp. 22-29, 2007.
[14]
Y. B. Shrinivasan and J. van Wijk, Supporting exploration awareness in information visualization, IEEE Computer Graphics Applications, vol. 29, no. 5, pp. 34-43, 2009.
[15]
W. Jones, H. Bruce, and S. Dumais, Keeping found things found on the web, in Proc. ACM CIKM International Conference on Information and Knowledge Management, 2001, pp. 119-126.
[16]
K. P. Yee, K. Swearingen, K. Li, and M. Hearst, Faceted metadata for image search and browsing, in Proc. ACM SIGCHI Conference on Human Factors in Computing Systems, 2003, pp. 401-408.
[17]
L. Hong and E. Chi, Annotate once, appear anywhere: Collective foraging for snippets of interest using paragraph fingerprinting, in Proc. ACM SIGCHI Conference on Human Factors in Computing Systems, 2009, pp. 1791-1794.
[18]
J. Alsakran, Y. Chen, Y. Zhao, J. Yang, and D. Luo, STREAMIT: Dynamic visualization and interactive exploration of text streams, in Proc. IEEE Symposium on Pacific Visualization, 2011, pp. 131-138.
[19]
B. Shneiderman and A. Aris, Network visualization by semantic substrates, IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 733-740, 2006.
Tsinghua Science and Technology
Pages 171-181
Cite this article:
Chen Y, Yang J. ManyInsights: A Visual Analytics Approach to Supporting Effective Insight Management. Tsinghua Science and Technology, 2013, 18(2): 171-181. https://doi.org/10.1109/TST.2013.6509100

482

Views

11

Downloads

4

Crossref

N/A

Web of Science

4

Scopus

0

CSCD

Altmetrics

Received: 07 March 2013
Accepted: 07 March 2013
Published: 30 April 2013
© The author(s) 2013
Return