2016 20th International Conference Information Visualisation (IV) (2016)
July 19, 2016 to July 22, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2016.41
Providing insight in complex networks or graphs with multivariate data is one of the main challenges for visual analysis today. Much work has been done for visualizing information on nodes, but the space in between has mostly not been used yet. We developed a user study based on two techniques called Partially filled Bars and Bars of Varying Height and asked subjects to perform different tasks. We briefly present both techniques and our design of a large user study. Our goal is to understand the advantages and disadvantages of both approaches compared to each other. After describing our evaluation setup and our initial hypothesis, the results are analyzed, discussed and the most accepted configuration is presented. Finally we briefly discuss the outcome of the user study and our next steps for further investigations.
Bars, Visualization, Data visualization, Image color analysis, Image edge detection, Layout, Retina
S. Schoffel, J. Schwank and A. Ebert, "A User Study on Multivariate Edge Visualizations for Graph-Based Visual Analysis Tasks," 2016 20th International Conference Information Visualisation (IV), Lisbon, Portugal, 2016, pp. 165-170.