Visual Computing

University of Konstanz
IEEE Transactions on Visualization and Computer Graphics

SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects

C. Bu, Q. Zhang, Q. Wang, J. Zhang, M. Sedlmair, O. Deussen, Y. Wang

Abstract

In this paper, we propose SineStream, a new variant of streamgraphs that improves their readability by minimizing sineillusion effects. Such effects reflect the tendency of humans to take the orthogonal rather than the vertical distance between two curvesas their distance. In SineStream, we connect the readability of streamgraphs with minimizing sine illusions and by doing so provide aperceptual foundation for their design. As the geometry of a streamgraph is controlled by its baseline (the bottom-most curve) and theordering of the layers, we re-interpret baseline computation and layer ordering algorithms in terms of reducing sine illusion effects. Forbaseline computation, we improve previous methods by introducing a Gaussian weight to penalize layers with large thickness changes.For layer ordering, three design requirements are proposed and implemented through a hierarchical clustering algorithm. Quantitative experiments and user studies demonstrate that SineStream improves the readability and aesthetics of streamgraphs compared tostate-of-the-art methods.

BibTeX

@Article{Bu2021SineStreamImprovingReadability,
  author    = {C. Bu, Q. Zhang, Q. Wang, J. Zhang, M. Sedlmair, O. Deussen, Y. Wang},
  journal   = {IEEE Transactions on Visualization and Computer Graphics},
  title     = {SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects},
  year      = {2021},
  pages     = {1--1},
  doi       = {10.1109/tvcg.2020.3030404},
  publisher = {{IEEE}},
  url       = {http://graphics.uni-konstanz.de/publikationen/Bu2020SineStreamImprovingReadability},
}