Comparing the Readability of Graph Layouts using Eyetracking and Task-oriented Analysis

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Reference

Mathias Pohl, Markus Schmitt, Stephan Diehl: Comparing the Readability of Graph Layouts using Eyetracking and Task-oriented Analysis. In: Oliver Deussen, Peter Hall (Eds.): Eurographics Workshop on Computational Aesthetics, 2009. 49-56

DOI

http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH09/049-056

Abstract

In this paper we present the results of a user study comparing the readability of force-directed, orthogonal, and hierarchical graph layouts. To this end we identified prototypical tasks which are solved using visual representations of graphs. Based on the correctness of answers and the related response time we evaluated for each task which layout is better suited. In addition, we found possible explanations for these results by analyzing the eye-tracking data. Finally, we discuss some implications of our findings for algorithm designers and application developers.

Extended Abstract

Bibtex

@inproceedings{Pohl:2009:CRG:2381286.2381296,
author = {Pohl, Mathias and Schmitt, Markus and Diehl, Stephan},
title = {Comparing the Readability of Graph Layouts Using Eyetracking and Task-oriented Analysis},
booktitle = {Proceedings of the Fifth Eurographics Conference on Computational Aesthetics in Graphics, Visualization and Imaging},
series = {Computational Aesthetics'09},
year = {2009},
isbn = {978-3-905674-17-0},
location = {Victoria, British Columbia, Canada},
pages = {49--56},
numpages = {8},
url = {http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH09/049-056, http://de.evo-art.org/index.php?title=Comparing_the_Readability_of_Graph_Layouts_using_Eyetracking_and_Task-oriented_Analysis },
doi = {10.2312/COMPAESTH/COMPAESTH09/049-056},
acmid = {2381296},
publisher = {Eurographics Association},
address = {Aire-la-Ville, Switzerland, Switzerland},
} 

Used References

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Links

Full Text

http://www.st.uni-trier.de/~diehl/pubs/cae09.pdf

intern file

Sonstige Links

http://dl.acm.org/citation.cfm?id=2381286.2381296&coll=DL&dl=GUIDE&CFID=588525319&CFTOKEN=29804931