TY - GEN
T1 - Perception of symmetries in drawings of graphs
AU - De Luca, Felice
AU - Kobourov, Stephen
AU - Purchase, Helen
N1 - Funding Information:
Acknowledgements. We thank Eric Welch for help with the experiment, Hang Chen for help with statistics, and yFiles for providing their software for research and education. This work is supported by NSF grants CCF-1423411 and CCF-1712119.
Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - Symmetry is an important factor in human perception in general, as well as in the visualization of graphs in particular. There are three main types of symmetry: reflective, translational, and rotational. We report the results of a human subjects experiment to determine what types of symmetries are more salient in drawings of graphs. We found statistically significant evidence that vertical reflective symmetry is the most dominant (when selecting among vertical reflective, horizontal reflective, and translational). We also found statistically significant evidence that rotational symmetry is affected by the number of radial axes (the more, the better), with a notable exception at four axes.
AB - Symmetry is an important factor in human perception in general, as well as in the visualization of graphs in particular. There are three main types of symmetry: reflective, translational, and rotational. We report the results of a human subjects experiment to determine what types of symmetries are more salient in drawings of graphs. We found statistically significant evidence that vertical reflective symmetry is the most dominant (when selecting among vertical reflective, horizontal reflective, and translational). We also found statistically significant evidence that rotational symmetry is affected by the number of radial axes (the more, the better), with a notable exception at four axes.
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U2 - 10.1007/978-3-030-04414-5_31
DO - 10.1007/978-3-030-04414-5_31
M3 - Conference contribution
AN - SCOPUS:85059049977
SN - 9783030044138
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 433
EP - 446
BT - Graph Drawing and Network Visualization - 26th International Symposium, GD 2018, Proceedings
A2 - Biedl, Therese
A2 - Kerren, Andreas
PB - Springer-Verlag
T2 - 26th International Symposium on Graph Drawing and Network Visualization, GD 2018
Y2 - 26 September 2018 through 28 September 2018
ER -