Browsing EuroRVVV: EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization by Subject "centered computing"

Now showing items 1-5 of 5

    • 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 ...

    • Detection of Diabetic Neuropathy - Can Visual Analytics Methods Really Help in Practice? 

      Röhlig, Martin; Stachs, Oliver; Schumann, Heidrun (The Eurographics Association, 2016)
      Visual analytics (VA) methods are valuable means for supporting the detection of diabetic neuropathy, the most common longterm complication of diabetes mellitus. We suggest two strategies for strengthening reliability, ...

    • 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 ...

    • 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 ...