Z: Why vis?

Node: Visualizations make information understandable

Descriptor UnderstandableInformation
Argumentative standpoint Cognition
Description

Visualizations show information in a way that is easier to understand.

Last updated 3 years ago (June 22, 2018) by Streeb, Dirk

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Outgoing Links (7)

Incoming Links (6)

Publications (11)

H. Wainer 1990 Graphical Visions from William Playfair to John Tukey 0 0 1 8 0
J. J. Thomas 2005 Illuminating the Path: The Research and Development Agenda for Visual Analytics 0 1 0 13 0
A. C. Telea 2008 Data visualization - principles and practice 0 1 0 9 2
D. A. Keim et al. 2010 Mastering the Information Age Solving Problems with Visual Analytics 0 1 0 17 2
A. V. Moere and H. C. Purchase 2011 On the role of design in information visualization 0 0 1 5 1
W. Dou et al. 2012 Toward a Deeper Understanding of the Relationship between Interaction Constraints and Visual Isomorphs 0 0 2 18 0
A. Gelman and A. Unwin 2013 Infovis and Statistical Graphics: Different Goals, Different Looks 0 0 1 21 2
L. J. Trevena et al. 2013 Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers 0 0 1 13 0
J. T. Stasko 2014 Value-Driven Evaluation of Visualizations 0 0 1 13 0
M. O. Ward, G. G. Grinstein and D. A. Keim 2015[2010] Interactive Data Visualization: Foundations, Techniques, and Applications 0 1 0 6 0
M. Chen and A. Golan 2016 What May Visualization Processes Optimize? 0 0 1 10 0
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Codings (13)

Streeb, Dirk: J. T. Stasko [2014]: Value-Driven Evaluation of Visualizations doi:10.1145/2669557.2669579 - 19.03.18 10:16 (+) Positive One or more sentences sec. 3 …it centers upon a visualization’s ability to convey a true understanding of the data, a more holistic broad and deep innate sense of the context and importance of the data in “the big picture.”
Streeb, Dirk: L. J. Trevena et al. [2013]: Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers doi:10.1186/1472-6947-13-S2-S7 - 19.03.18 07:22 (+) Positive One or more sentences p. 6 Presenting event rates with visual aids such as pictographs (also called icon arrays), bar charts, or flow diagrams may aid accurate understanding of probabilities.
Streeb, Dirk: L. J. Trevena et al. [2013]: Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers doi:10.1186/1472-6947-13-S2-S7 - 19.03.18 07:22 (?) Questioned One or more sentences p. 6 …one important caveat is that people vary in their ability to extract data and meaning from visual displays.
Streeb, Dirk: L. J. Trevena et al. [2013]: Presenting Quantitative Information about Decision Outcomes: A Risk Communication Primer for Patient Decision Aid Developers doi:10.1186/1472-6947-13-S2-S7 - 19.03.18 07:22 (?) Questioned One or more sentences p. 6 However, there has been some evidence that graphs can affect peoples’ tendencies to overestimate low probabilities and underestimate high probabilities – the magnifier effect. Others have shown the opposite effect (i.e., less overestimation) on low probabilities and no effect on high.
Streeb, Dirk: H. Wainer [1990]: Graphical Visions from William Playfair to John Tukey doi:10.2307/2245821 - 12.03.18 08:16 (+) Positive One or more paragraphs p. 342 We have all had the experience of seeing something in a data set once we had graphed it that had lain hidden throughout many previous analyses.
Streeb, Dirk: D. A. Keim et al. [2010]: Mastering the Information Age Solving Problems with Visual Analytics isbn:978-3-905673-77-7 - 10.03.18 14:06 (+) Positive One or more paragraphs p. 2 …the goal of visual analytics is to make our way of processing data and information transparent for an analytic discourse. The visualisation of these processes will provide the means of examining the actual processes instead of just the results.
Streeb, Dirk: J. J. Thomas [2005]: Illuminating the Path: The Research and Development Agenda for Visual Analytics isbn:0-7695-2323-4 - 08.03.18 09:07 (+) Positive One or more sentences p. 7 Visual representations and interaction technologies provide the mechanism for allowing the user to see and understand large volumes of information at once.
Streeb, Dirk: M. Chen and A. Golan [2016]: What May Visualization Processes Optimize? doi:10.1109/TVCG.2015.2513410 - 04.03.18 10:31 (+) Positive Implicitly sec. 5.3
Streeb, Dirk: M. O. Ward, G. G. Grinstein and D. A. Keim [2015[2010]]: Interactive Data Visualization: Foundations, Techniques, and Applications isbn:978-1-4822-5737-3 - 03.03.18 12:15 (+) Positive One or more sentences p. 3 Perhaps the most obvious reason is that we are visual beings who use sight as on of our key senses for information understanding.
Streeb, Dirk: A. Gelman and A. Unwin [2013]: Infovis and Statistical Graphics: Different Goals, Different Looks doi:10.1080/10618600.2012.761137 - 27.02.18 16:15 (+) Positive One or more sentences p. 7 Displaying information from the dataset in a readily understandable way.
Streeb, Dirk: A. V. Moere and H. C. Purchase [2011]: On the role of design in information visualization doi:10.1177/1473871611415996 - 21.02.18 16:33 (+) Positive Less than a sentence p. 357 With its inherent ability to represent complex data in understandable form…
Streeb, Dirk: A. C. Telea [2008]: Data visualization - principles and practice isbn:978-1-56881-306-6 - 05.02.18 09:46 (+) Positive Less than a sentence p. 6 …it can also be argued that displaying the answer of such queries in a visual manner makes them simpler to assimilate.
Streeb, Dirk: W. Dou et al. [2012]: Toward a Deeper Understanding of the Relationship between Interaction Constraints and Visual Isomorphs doi:10.1177/1473871611433712 - 24.01.18 08:03 (+) Positive
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