Now showing items 3-6 of 6

    • Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization 

      Kinkeldey, Christoph; Korjakow, Tim; Benjamin, Jesse Josua (The Eurographics Association, 2019)
      Interpretation of machine learning results is a major challenge for non-technical experts, with visualization being a common approach to support this process. For instance, interpretation of clustering results is usually ...
    • Trust in Information Visualization 

      Mayr, Eva; Hynek, Nicole; Salisu, Saminu; Windhager, Florian (The Eurographics Association, 2019)
      Trust is an important factor that mediates whether a user will rely and build on the information displayed in a visualization. Research in other fields shows that there are different mechanisms of trust building: Users ...
    • TrustVis 2019: Frontmatter 

      Kosara, Robert; Lawonn, Kai; Linsen, Lars; Smit, Noeska (The Eurographics Association, 2019)
    • Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles 

      Gebauer, Eike; Linsen, Lars (The Eurographics Association, 2019)
      The aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. ...