discussion

Top 10 Unsolved Information Visualization Problems

Author:

Chaomei ChenAuthors Info & Claims

IEEE Computer Graphics and Applications, Volume 25, Issue 4

Pages 12 - 16

https://doi.org/10.1109/MCG.2005.91

Published: 01 July 2005 Publication History

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Abstract

The author presents a revised and extended version of the top unsolved problems of information visualization that he outlined in an IEEE Visualization 2004 panel. These problems are not necessarily imposed by technical barriers; rather, they are problems that might hinder the growth of information visualization as a field. The first three problems highlight issues from a user-centered perspective. The fifth, sixth, and seventh problems are technical challenges in nature. The last three are the ones that need tackling at the disciplinary level.

References

[1]

T.-M. Rhyne, et al., "Can We Determine the Top Unresolved Problems of Visualization?" Proc. IEEE Visualization, IEEE Press, 2004, pp. 563-566.]]

Digital Library

Google Scholar

[2]

C. Chen and M. Czerwinski, "Empirical Evaluation of Information Visualization: An Introduction," Int'l J. Human–Computer Studies, vol. 53, no. 5, 2000, pp. 631-635.]]

Digital Library

Google Scholar

[3]

C. Chen, Information Visualization: Beyond the Horizon, 2nd ed., Springer, 2004.]]

Digital Library

Google Scholar

[4]

C. Chen, "Searching for Intellectual Turning Points: Progressive Knowledge Domain Visualization," Proc. Nat'l Academy of Sciences of the United States (PNAS), vol. 101, suppl. 1, 2004, pp. 5303-5310.]]

Crossref

Google Scholar

[5]

W.S. Cleveland and M. Robert, "Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods," J. Am. Statistical Assoc., vol. 79, no. 387, 1984, pp. 531-553.]]

Crossref

Google Scholar

[6]

A. Treisman, "Preattentive Processing in Vision," Computer Vision, Graphics and Image Processing, vol. 31, no. 2, 1985, pp. 156-177.]]

Digital Library

Google Scholar

[7]

C. Ware, Information Visualization: Perception for Design, 2nd ed., Morgan Kaufmann, 2004.]]

Digital Library

Google Scholar

[8]

C.M. Bishop and M.E. Tipping, "A Hierarchical Latent Variable Model for Data Visualization," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 3, 1998, pp. 281-293.]]

Digital Library

Google Scholar

[9]

G. McLachlan and D. Peel, Finite Mixture Models, John Wiley & Sons, 2000.]]

Google Scholar

[10]

D. Harel and Y. Koren, "A Fast Multiscale Method for Drawing Large Graphs," Proc. 8th Int'l Symp. Graph Drawing, 2000, pp. 183-196.]]

Digital Library

Google Scholar

[11]

P.C. Wong, et al., "Dynamic Visualization of Transient Data Streams," Proc. IEEE Symp. Information Visualization, IEEE CS Press, 2003, pp. 97-104.]]

Google Scholar

[12]

E.R. Tufte, Visual Explanations, Graphics Press, 1997.]]

Google Scholar

[13]

C. Chen, et al., "Visualizing the Evolution of HCI," Proc. Human–Computer Interaction, Springer, 2005.]]

Google Scholar

Cited By

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Bach BKeck MRajabiyazdi FLosev TMeirelles IDykes JLaramee RAlKadi MStoiber CHuron SPerin CMorais LAigner WKosminsky DBoucher MKnudsen SManataki AAerts JHinrichs URoberts JCarpendale S(2024)Challenges and Opportunities in Data Visualization Education: A Call to ActionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332737830:1(649-660)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3327378
Arunkumar APadilla LBae GBryan C(2024)Image or Information? Examining the Nature and Impact of Visualization Perceptual ClassificationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332691930:1(1030-1040)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326919
Panavas LWorth ACrnovrsanin TSathyamurthi TCordes SBorkin MDunne C(2022)Juvenile Graphical Perception: A Comparison between Children and AdultsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501893(1-14)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501893
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Index Terms

Top 10 Unsolved Information Visualization Problems
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation types and techniques
      1. Visual analytics
2. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. User centered design

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cover image IEEE Computer Graphics and Applications

IEEE Computer Graphics and Applications Volume 25, Issue 4

July 2005

84 pages

ISSN:0272-1716

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IEEE Computer Society Press

Washington, DC, United States

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Published: 01 July 2005

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Bach BKeck MRajabiyazdi FLosev TMeirelles IDykes JLaramee RAlKadi MStoiber CHuron SPerin CMorais LAigner WKosminsky DBoucher MKnudsen SManataki AAerts JHinrichs URoberts JCarpendale S(2024)Challenges and Opportunities in Data Visualization Education: A Call to ActionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332737830:1(649-660)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3327378
Arunkumar APadilla LBae GBryan C(2024)Image or Information? Examining the Nature and Impact of Visualization Perceptual ClassificationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332691930:1(1030-1040)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326919
Panavas LWorth ACrnovrsanin TSathyamurthi TCordes SBorkin MDunne C(2022)Juvenile Graphical Perception: A Comparison between Children and AdultsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501893(1-14)Online publication date: 29-Apr-2022
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Abstract

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