Z: Why vis?

Node: Visualizations aid in communication / presentation

Descriptor AidCommunication
Argumentative standpoint Teamwork
Description

Visualizations can be used to present structures difficult to express verbally. For example, complex structures with specific irregular shapes can be presented more easily by visual representation. Also, disseminating results of investigations can be enhanced by presenting partial results visually embedded in the context provided by the whole investigation.

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

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Incoming Links (1)

Publications (22)

S. M. Kosslyn 1994 Elements of Graph Design 0 1 0 8 2
S. K. Card, J. D. Mackinlay and B. Shneiderman 1999 Readings in Information Visualization – Using Vision to Think 0 1 1 18 4
E. R. Tufte 2001[1983] The Visual Display of Quantitative Information 0 1 0 16 5
S. Bertschi and N. Bubenhofer 2005 Linguistic Learning: A New Conceptual Focus in Knowledge Visualization 0 0 1 18 0
S. I. Fabrikant, S. R. Hespanha and M. Hegarty 2010 Cognitively Inspired and Perceptually Salient Graphic Displays for Efficient Spatial Inference Making 0 0 1 8 0
D. C. Gooding 2010 Visualizing Scientific Inference 0 0 1 21 0
K. Fathulla 2011 Rethinking our understanding of diagrams 0 0 1 5 0
B. Tversky 2011 Visualizing Thought 0 0 1 36 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
M. J. Eppler 2013 What is an Effective Knowledge Visualization? Insights from a Review of Seminal Concepts 0 0 1 11 2
T. Tenbrink 2014 Cognitive Discourse Analysis for Cognitively Supportive Visualisations 0 0 1 8 0
M. Sirota, L. Kostovičová and M. Juanchich 2014 The Effect of Iconicity of Visual Displays on Statistical Reasoning: Evidence in Favor of the Null Hypothesis 0 0 1 3 1
H. C. Purchase 2014 Twelve Years of Diagrams Research 0 0 1 16 0
M. Chen, L. Floridi and R. Borgo 2014 What is Visualization Really for? 0 0 1 8 0
M. W. Johansen 2014 What’s in a Diagram? On the Classification of Symbols, Figures and Diagrams 0 0 1 14 0
A. Abrahamsen and W. Bechtel 2015 Diagrams as Tools for Scientific Reasoning 0 0 1 9 0
A. Groß 2015 Die Bildpädagogik Otto Neuraths: Methodische Prinzipien der Darstellung von Wissen 0 0 1 20 0
B. Tversky 2015 On Abstraction and Ambiguity 0 0 1 17 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
N. Keena et al. 2016 Interactive Visualization for Interdisciplinary Research 0 0 1 5 0
A. Dasgupta et al. 2017 Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments 0 0 1 9 0
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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 They also can aid the comprehension of more complicated concepts such as incremental risk.
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 (*) Mentioned without valuation One or more sentences p. 6 The communication of epistemic uncertainty has been examined in a small number of studies using confidence intervals to communicate ambiguity in probability estimates. These studies have shown that communicating ambiguity has little effect on risk perceptions, although it increases patient worry, and these effects appear to be moderated by representational method (visual vs. textual) and individual differences (e.g., dispositional optimism).
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 paragraphs p. 6 Figure 1.3 shows a diagram of an organization that is difficult to describe verbally. However, the image can be comprehended with only a brief examination.
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. 3 An important part of statistical practice is graphical communication of data and models
Streeb, Dirk: S. K. Card, J. D. Mackinlay and B. Shneiderman [1999]: Readings in Information Visualization – Using Vision to Think isbn:978-1-55860-533-6 - 06.02.18 12:59 (+) Positive One or more sentences p. 1 One purpose is for communicating an idea, for which it is sometimes said, "A picture is worth a thousand words."
Streeb, Dirk: M. J. Eppler [2013]: What is an Effective Knowledge Visualization? Insights from a Review of Seminal Concepts doi:10.1007/978-1-4471-4303-1_1 - 06.02.18 09:58 (+-) Ambivalent One or more sentences p. 5 It has to be communicable in the sense that the image can be communicated to others… (this is, for example, a common problem with the use of mind maps).
Streeb, Dirk: E. R. Tufte [2001[1983]]: The Visual Display of Quantitative Information isbn:978-0-9613921-4-7 - 05.02.18 12:03 (+) Positive One or more sentences Introduction Furthermore,, of all methods for analyzing and communicating statistical information, well-designed data graphics are usually the simplest and at the same time the most powerful.
Streeb, Dirk: S. M. Kosslyn [1994]: Elements of Graph Design isbn:0-7167-2263-1 - 01.02.18 12:04 (+) Positive One or more sentences p. 17 In particular, keep in mind at all times that a graph is intended to make a specific point, and its visual appearance should convey that point.
Streeb, Dirk: M. Sirota, L. Kostovičová and M. Juanchich [2014]: The Effect of Iconicity of Visual Displays on Statistical Reasoning: Evidence in Favor of the Null Hypothesis doi:10.3758/s13423-013-0555-4 - 31.01.18 10:01 (+-) Ambivalent One or more sentences p. 967 So far, the current evidence suggests that visual displays can sometimes be unnecessary, and sometimes efficient, in communicating information requiring statistical reasoning.
Streeb, Dirk: A. Abrahamsen and W. Bechtel [2015]: Diagrams as Tools for Scientific Reasoning doi:10.1007/s13164-014-0215-2 - 26.01.18 08:57 (+) Positive
Streeb, Dirk: M. Chen, L. Floridi and R. Borgo [2014]: What is Visualization Really for? doi:10.1007/978-3-319-07121-3_5 - 26.01.18 08:53 (+) Positive
Streeb, Dirk: B. Tversky [2011]: Visualizing Thought doi:10.1111/j.1756-8765.2010.01113.x - 25.01.18 15:25 (+) Positive
Streeb, Dirk: K. Fathulla [2011]: Rethinking our understanding of diagrams doi:10.1515/semi.2011.025 - 25.01.18 15:23 (+) Positive
Streeb, Dirk: A. Dasgupta et al. [2017]: Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments doi:10.1145/3025453.3025882 - 25.01.18 15:09 (+) Positive
Streeb, Dirk: T. Tenbrink [2014]: Cognitive Discourse Analysis for Cognitively Supportive Visualisations - 25.01.18 13:58 (+) Positive
Streeb, Dirk: H. C. Purchase [2014]: Twelve Years of Diagrams Research doi:10.1016/j.jvlc.2013.11.004 - 25.01.18 13:46 (+) Positive
Streeb, Dirk: S. I. Fabrikant, S. R. Hespanha and M. Hegarty [2010]: Cognitively Inspired and Perceptually Salient Graphic Displays for Efficient Spatial Inference Making doi:10.1080/00045600903362378 - 25.01.18 13:41 (+) Positive
Streeb, Dirk: D. C. Gooding [2010]: Visualizing Scientific Inference doi:10.1111/j.1756-8765.2009.01048.x - 25.01.18 09:22 (+) Positive
Streeb, Dirk: A. Groß [2015]: Die Bildpädagogik Otto Neuraths: Methodische Prinzipien der Darstellung von Wissen doi:10.1007/978-3-319-16316-1 - 25.01.18 09:14 (++) Central positive
Streeb, Dirk: N. Keena et al. [2016]: Interactive Visualization for Interdisciplinary Research doi:10.2352/ISSN.2470-1173.2016.1.VDA-491 - 25.01.18 09:04 (+) Positive
Streeb, Dirk: S. Bertschi and N. Bubenhofer [2005]: Linguistic Learning: A New Conceptual Focus in Knowledge Visualization doi:10.1109/IV.2005.71 - 24.01.18 13:01 (+) Positive
Streeb, Dirk: B. Tversky [2015]: On Abstraction and Ambiguity doi:10.1007/978-94-017-9297-4_13 - 24.01.18 12:35 (+) Positive
Streeb, Dirk: M. W. Johansen [2014]: What’s in a Diagram? On the Classification of Symbols, Figures and Diagrams doi:10.1007/978-3-642-37428-9_6 - 24.01.18 11:58 (+) Positive
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