Citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.122.9235&rep=rep1&type=pdf. Www.dagstuhl.de/Materials/Files/10/10471/10471.FeketeJeanDaniel1.Slides.pdf. Measuring Effectiveness of Graph Visualizations: A Cognitive Load Perspective. ∗↵National and International Surveys Program, Australian Council for Educational Research, Camberwell, VIC 3124, Australia Graph visualizations are typically evaluated by comparing their differences in effectiveness, measured by task performance such as response time and accuracy.
Such performance-based measures have proved to be useful in their own right. There are some situations, however, where the performance measures alone may not be sensitive enough to detect differences. This limitation can be seen from the fact that the graph viewer may achieve the same level of performance by devoting different amounts of cognitive effort. In addition, it is not often that individual performance measures are consistently in favor of a particular visualization. A User Study of Visualization Effectiveness Using EEG and Cognitive Load - Anderson - 2011 - Computer Graphics Forum. The challenge of information visualization evaluation. Metrics for effective information visualization.
Www.cs.ubc.ca/~cs444/lectures/Correl-RB.pdf. Www.dagstuhl.de/Materials/Files/10/10471/10471.FeketeJeanDaniel1.Slides.pdf. Christopher Alexander's fifteen properties: Toward developing evaluation metrics for security vi... The objective of security data visualizations is to help cyber analysts to perceive trends and patterns, and gain insights into security data.
Sound and systematic evaluations of security data visualizations are rarely performed, in part due to the lack of proper quantitative and qualitative measures. In this paper, we present a novel evaluation approach for security visualization based on Christopher Alexander's fifteen properties of living structures. Data Visualization for Human Perception. Vis.cs.brown.edu/docs/pdf/Rushmeier-1997-PME.pdf. Measuring Effective Data Visualization. Data Visualization for Human Perception. Perceptual Edge.