Z: Why vis?

Node: Visualizations retain complexity

Descriptor Complexity
Argumentative standpoint Teamwork
Description

Visualizations used in collaboration are complex. They retain detailed structures by avoiding over-simplification. Meanwhile they are difficult to interpret without additional instructions.

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

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Publications (3)

S. Bertschi and N. Bubenhofer 2005 Linguistic Learning: A New Conceptual Focus in Knowledge Visualization 0 0 1 18 0
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
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Streeb, Dirk: J. T. Stasko [2014]: Value-Driven Evaluation of Visualizations doi:10.1145/2669557.2669579 - 19.03.18 10:16 (-) Negative One or more sentences sec. 4 There simply may be too much to show, or the representation becomes so complex that it is difficult for people to interpret.
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. 8 A study presenting treatment options for esophageal cancer showed most patients understood graphical representations of even complex multidimensional patient-reported outcomes.
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 (-) Negative
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