Drawing graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Validating Graph Drawing Aesthetics
GD '95 Proceedings of the Symposium on Graph Drawing
An Alternative Method to Crossing Minimization on Hierarchical Graphs
GD '96 Proceedings of the Symposium on Graph Drawing
Which Aesthetic has the Greatest Effect on Human Understanding?
GD '97 Proceedings of the 5th International Symposium on Graph Drawing
Cognitive measurements of graph aesthetics
Information Visualization
Predicting graph reading performance: a cognitive approach
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
Perceptual Organization in User-Generated Graph Layouts
IEEE Transactions on Visualization and Computer Graphics
Drawing Graphs with Right Angle Crossings
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
A Comparison of User-Generated and Automatic Graph Layouts
IEEE Transactions on Visualization and Computer Graphics
Measuring effectiveness of graph visualizations: a cognitive load perspective
Information Visualization
Notes on large angle crossing graphs
CATS '10 Proceedings of the Sixteenth Symposium on Computing: the Australasian Theory - Volume 109
Layout effects on sociogram perception
GD'05 Proceedings of the 13th international conference on Graph Drawing
Area, curve complexity, and crossing resolution of non-planar graph drawings
GD'09 Proceedings of the 17th international conference on Graph Drawing
On the perspectives opened by right angle crossing drawings
GD'09 Proceedings of the 17th international conference on Graph Drawing
On rectilinear drawing of graphs
GD'09 Proceedings of the 17th international conference on Graph Drawing
Establishing aesthetics based on human graph reading behavior: two eye tracking studies
Personal and Ubiquitous Computing
Improving multiple aesthetics produces better graph drawings
Journal of Visual Languages and Computing
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Recent research has indicated that human graph reading performance can be affected by the size of crossing angle. Crossing angle is closely related to another aesthetic criterion: number of edge crossings. Although crossing number has been previously identified as the most important aesthetic, its relative impact on performance of human graph reading is unknown, compared to crossing angle. In this paper, we present an exploratory user study investigating the relative importance between crossing number and crossing angle. This study also aims to further examine the effects of crossing number and crossing angle not only on task performance measured as response time and accuracy, but also on cognitive load and visualization efficiency. The experimental results reinforce the previous findings of the effects of the two aesthetics on graph comprehension. The study demonstrates that on average these two closely related aesthetics together explain 33% of variance in the four usability measures: time, accuracy, mental effort and visualization efficiency, with about 38% of the explained variance being attributed to the crossing angle.