Porto, Portugal 3 June 2019


Papers
Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization
Christoph Kinkeldey, Tim Korjakow, and Jesse Josua Benjamin
Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles
Eike Gebauer and Lars Linsen
Detection of Confirmation and Distinction Biases in Visual Analytics Systems
Atilla Alpay Nalcaci, Dilara Girgin, Semih Balki, Fatih Talay, Hasan Alp Boz, and Selim Balcisoy
Examining the Components of Trust in Map-Based Visualizations
Cindy Xiong, Lace M. K. Padilla, Kent Grayson, and Steven Franconeri
Trust in Information Visualization
Eva Mayr, Nicole Hynek, Saminu Salisu, and Florian Windhager

Recent Submissions

  • 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 ...
  • Detection of Confirmation and Distinction Biases in Visual Analytics Systems 

    Nalcaci, Atilla Alpay; Girgin, Dilara; Balki, Semih; Talay, Fatih; Boz, Hasan Alp; Balcisoy, Selim (The Eurographics Association, 2019)
    Cognitive bias is a systematic error that introduces drifts and distortions in the human judgment in terms of visual decomposition in the direction of the dominant instance. It has a significant role in decision-making ...
  • Examining the Components of Trust in Map-Based Visualizations 

    Xiong, Cindy; Padilla, Lace; Grayson, Kent; Franconeri, Steven (The Eurographics Association, 2019)
    Prior research suggests that perceived transparency is often associated with perceived trust. For some data types, greater transparency in data visualization is also associated with an increase in the amount of information ...
  • 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. ...
  • 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 ...
  • TrustVis 2019: Frontmatter 

    Kosara, Robert; Lawonn, Kai; Linsen, Lars; Smit, Noeska (The Eurographics Association, 2019)