Browsing EuroVisShort2020 by Issue Date

Now showing items 21-32 of 32

    • Examining Design-Centric Test Participants in Graphical Perception Experiments 

      Guo, Grace; Dy, Bianchi; Ibrahim, Nazim; Joyce, Sam Conrad; Poorthuis, Ate (The Eurographics Association, 2020)
      In this paper, we replicate a foundational study in graphical perception, and compare our findings from using design-centric participants with that of previous studies. We also assess the visual accuracy of two groups, ...

    • A Force-Directed Power Diagram Approach for Interactive Voronoi Treemaps 

      Abuthawabeh, Ala; Aupetit, Michaël (The Eurographics Association, 2020)
      Voronoi treemaps represent weighted hierarchical data as nested Voronoi diagram partitions with cells' area proportional to the weights. Current techniques to compute them propose static visualizations which can be used ...

    • Fast Design Space Rendering of Scatterplots 

      Santala, Simo; Oulasvirta, Antti; Weinkauf, Tino (The Eurographics Association, 2020)
      The design space of scatterplots consists of a number of parameters such as marker size and shape, image width and aspect ratio, and opacity. Different parameters yield different visual impressions of the scatterplot. ...

    • Task-based Colormap Design Supporting Visual Comprehension in Process Tomography 

      Zhang, Yuchong; Fjeld, Morten; Said, Alan; Fratarcangeli, Marco (The Eurographics Association, 2020)
      Color coding is a fundamental technique for mapping data to visual representations, allowing people to carry out comprehension-based tasks. Process tomography is a rapidly developing non-invasive imaging technique used in ...

    • GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models 

      Rojo, Diego; Htun, Nyi Nyi; Verbert, Katrien (The Eurographics Association, 2020)
      The recent growth of interest in explainable artificial intelligence (XAI) has resulted in a large number of research efforts to provide accountable and transparent machine learning systems. Although a large volume of ...

    • Joint-Sphere: Intuitive and Detailed Human Joint Motion Representation 

      Kim, Seonghun; Balasubramanyam, Adithya; Kim, Dubeom; Chai, Young Ho; Patil, Ashok Kumar (The Eurographics Association, 2020)
      A motion comparison method using images allows for the motions to be easily recognized and to see differences between each action. However, when using images, orientation differences between similar motions cannot be ...

    • Design of a Real Time Visual Analytics Support Tool for Conflict Detection and Resolution in Air Traffic Control 

      Zohrevandi, Elmira; Westin, Carl A. L.; Lundberg, Jonas; Ynnerman, Anders (The Eurographics Association, 2020)
      Air traffic control is a safety critical high-risk environment where operators need to analyse and interpret traffic dynamics of spatio-temporal data in real-time. To support the air traffic controller in safely separating ...

    • RankBooster: Visual Analysis of Ranking Predictions 

      Puri, Abishek; Ku, Bon Kyung; Wang, Yong; Qu, Huamin (The Eurographics Association, 2020)
      Ranking is a natural and ubiquitous way to facilitate decision-making in various applications. However, different rankings are often used for the same set of entities, with each ranking method placing emphasis on different ...

    • TopoLines: Topological Smoothing for Line Charts 

      Rosen, Paul; Suh, Ashley; Salgado, Christopher; Hajij, Mustafa (The Eurographics Association, 2020)
      Line charts are commonly used to visualize a series of data values. When the data are noisy, smoothing is applied to make the signal more apparent. Conventional methods used to smooth line charts, e.g., using subsampling ...

    • Dissecting Visual Analytics: Comparing Frameworks for Interpreting and Modelling Observed Visual Analytics Behavior 

      Brown, Vanessa; Turkay, Cagatay; Jianu, Radu (The Eurographics Association, 2020)
      This paper provides an empirical, comparative exploration of the role of analytic frameworks in interpreting and modelling visual analytics behavior through data gathered in observational studies. The crucial research on ...

    • Characterizing Exploratory Behaviors on a Personal Visualization Interface Using Interaction Logs 

      Sukumar, Poorna Talkad; Martinez, Gonzalo J.; Grover, Ted; Mark, Gloria; D'Mello, Sidney K.; Chawla, Nitesh V.; Mattingly, Stephen M.; Striegel, Aaron D. (The Eurographics Association, 2020)
      Personal visualizations present a separate class of visualizations where users interact with their own data to draw inferences about themselves. In this paper, we study how a realistic understanding of personal visualizations ...

    • Glyph-Based Visualization of Affective States 

      Kovacevic, Nikola; Wampfler, Rafael; Solenthaler, Barbara; Gross, Markus; Günther, Tobias (The Eurographics Association, 2020)
      Decades of research in psychology on the formal measurement of emotions led to the concept of affective states. Visualizing the measured affective state can be useful in education, as it allows teachers to adapt lessons ...