EuroVis 2020 - 22nd EG/VGTC Conference on Visualization
Norrköping, Sweden, May 25-29, 2020 (Virtual)


Analytics and Evaluation
The Effect of Graph Layout on the Perception of Graph Properties
Elektra Kypridemou, Michele Zito, and Marco Bertamini
Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques
Christian Bors, Christian Eichner, Silvia Miksch, Christian Tominski, Heidrun Schumann, and Theresia Gschwandtner
SAMBAVis: Design Study of a Visual Analytics Tool for the Music Industry Powered by YouTube Comments
Victor Adriel de Jesus Oliveira, Christina Stoiber, Johanna Grüblbauer, Christoph Musik, Alexis Ringot, and Andreas Gebesmair
Configuration Finder: A Tidy Visual Interface for Effective Faceted Search
Patrick Riehmann, Andreas Schädler, Jannis Harder, Jakob Herpel, and Bernd Froehlich
ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms
Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, and Elke Rundensteiner
Design of a Real Time Visual Analytics Support Tool for Conflict Detection and Resolution in Air Traffic Control
Elmira Zohrevandi, Carl A. L. Westin, Jonas Lundberg, and Anders Ynnerman
Dissecting Visual Analytics: Comparing Frameworks for Interpreting and Modelling Observed Visual Analytics Behavior
Vanessa Brown, Cagatay Turkay, and Radu Jianu
Examining Design-Centric Test Participants in Graphical Perception Experiments
Grace Guo, Bianchi Dy, Nazim Ibrahim, Sam Conrad Joyce, and Ate Poorthuis
Mix: Color, Design, etc.
Designing Pairs of Colormaps for Visualizing Bivariate Scalar Fields
Colin Ware, Francesca Samsel, David H. Rogers, Paul Navratil, and Ayat Mohammed
Interactive Creation of Perceptually Uniform Color Maps
Martin Lambers
Task-based Colormap Design Supporting Visual Comprehension in Process Tomography
Yuchong Zhang, Morten Fjeld, Alan Said, and Marco Fratarcangeli
Investigating the Role of Locus of Control in Moderating Complex Analytic Workflows
R. Jordan Crouser, Alvitta Ottley, Kendra Swanson, and Ananda Montoly
Exploring Design Opportunities for Visually Congruent Proxemics in Information Visualization: A Design Space
Neil Chulpongsatorn, Jackie Yu, and Søren Knudsen
Characterizing Exploratory Behaviors on a Personal Visualization Interface Using Interaction Logs
Poorna Talkad Sukumar, Gonzalo J. Martinez, Ted Grover, Gloria Mark, Sidney K. D'Mello, Nitesh V. Chawla, Stephen M. Mattingly, and Aaron D. Striegel
TopoLines: Topological Smoothing for Line Charts
Paul Rosen, Ashley Suh, Christopher Salgado, and Mustafa Hajij
Evaluating Strategies of Exploratory Visual Data Analysis in Multi Device Environments
Abeer Alsaiari, Jillian Aurisano, and Andrew E. Johnson
Representation, Perception, and ML
Influence of Container Resolutions on the Layout Stability of Squarified and Slice-And-Dice Treemaps
Volker Knauthe, Kathrin Ballweg, Marcel Wunderlich, Tatiana von Landesberger, and Stefan Guthe
Width-Scale Bar Charts for Data with Large Value Range
Markus Höhn, Marcel Wunderlich, Kathrin Ballweg, and Tatiana von Landesberger
A Force-Directed Power Diagram Approach for Interactive Voronoi Treemaps
Ala Abuthawabeh and Michaël Aupetit
Fast Design Space Rendering of Scatterplots
Simo Santala, Antti Oulasvirta, and Tino Weinkauf
Glyph-Based Visualization of Affective States
Nikola Kovacevic, Rafael Wampfler, Barbara Solenthaler, Markus Gross, and Tobias Günther
GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models
Diego Rojo, Nyi Nyi Htun, and Katrien Verbert
Progressive Uniform Manifold Approximation and Projection
Hyung-Kwon Ko, Jaemin Jo, and Jinwook Seo
Rendering, Images, and Applications
Sketchy Rendering to Aid the Recollection of Regular Visualizations
Michael Reidun Engelbrecht Larsen, Wenkai Han, and Hans-Jörg Schulz
Progressive Rendering of Transparent Integral Surfaces
Xingze Tian and Tobias Günther
Effective Visualization of Sparse Image-to-Image Correspondences
Carlos Andujar, Antonio Chica, and Marc Comino
Joint-Sphere: Intuitive and Detailed Human Joint Motion Representation
Seonghun Kim, Adithya Balasubramanyam, Dubeom Kim, Young Ho Chai, and Ashok Kumar Patil
MODELAR: A MODular and EvaLuative framework to improve surgical Augmented Reality visualization
Georges Hattab, Felix Meyer, Remke Dirk Albrecht, and Stefanie Speidel
Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board
Nastasja Steinhauer, Marc Hörbrugger, Andreas Dominik Braun, Thomas Tüting, Steffen Oeltze-Jafra, and Juliane Müller
RankBooster: Visual Analysis of Ranking Predictions
Abishek Puri, Bon Kyung Ku, Yong Wang, and Huamin Qu
Visualising Collocation for Close Writing
Jonathan C. Roberts, Peter W. S. Butcher, Robert Lew, Geraint Paul Rees, Nirwan Sharma, and Ana Frankenberg-Garcia

Recent Submissions

  • 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 ...
  • Visualising Collocation for Close Writing 

    Roberts, Jonathan C.; Butcher, Peter W. S.; Lew, Robert; Rees, Geraint Paul; Sharma, Nirwan; Frankenberg-Garcia, Ana (The Eurographics Association, 2020)
    We present how we have developed a visualisation tool and text editor to display collocations for the purpose of close writing. Collocations are words that combine together in a natural way. Our design study approach brought ...
  • Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board 

    Steinhauer, Nastasja; Hörbrugger, Marc; Braun, Andreas Dominik; Tüting, Thomas; Oeltze-Jafra, Steffen; Müller, Juliane (The Eurographics Association, 2020)
    In multidisciplinary oncological team meetings for patient-specific treatment decision-making, so-called tumor boards, usually one physician introduces a patient case verbally and proposes an initial therapy recommendation. ...
  • MODELAR: A MODular and EvaLuative framework to improve surgical Augmented Reality visualization 

    Hattab, Georges; Meyer, Felix; Albrecht, Remke Dirk; Speidel, Stefanie (The Eurographics Association, 2020)
    The use of Augmented Reality (AR) for the visualization of 3D biomedical image data is possible thanks to a growing number of hardware and software solutions. Considerable efforts are made during surgery, where the visual ...
  • 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 ...
  • Effective Visualization of Sparse Image-to-Image Correspondences 

    Andujar, Carlos; Chica, Antonio; Comino, Marc (The Eurographics Association, 2020)
    Finding robust correspondences between images is a crucial step in photogrammetry applications. The traditional approach to visualize sparse matches between two images is to place them side-by-side and draw link segments ...
  • Progressive Rendering of Transparent Integral Surfaces 

    Tian, Xingze; Günther, Tobias (The Eurographics Association, 2020)
    Integral surfaces are a useful method in illustrative and geometry-based flow visualization, as they convey shading, depth and geometric information better than their line-based counterparts. However, they are not as ...
  • 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 ...
  • Sketchy Rendering to Aid the Recollection of Regular Visualizations 

    Larsen, Michael Reidun Engelbrecht; Han, Wenkai; Schulz, Hans-Jörg (The Eurographics Association, 2020)
    Some visualizations have a more regular visual appearance than others. For example, while stream graphs or force-directed network layouts feature a unique, almost organic 'look and feel', matrices or unit treemaps can ...
  • Progressive Uniform Manifold Approximation and Projection 

    Ko, Hyung-Kwon; Jo, Jaemin; Seo, Jinwook (The Eurographics Association, 2020)
    We present a progressive algorithm for the Uniform Manifold Approximation and Projection (UMAP), called the Progressive UMAP. Based on the theory of Riemannian geometry and algebraic topology, UMAP is an emerging dimensionality ...
  • 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 ...
  • 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. ...
  • Width-Scale Bar Charts for Data with Large Value Range 

    Höhn, Markus; Wunderlich, Marcel; Ballweg, Kathrin; Landesberger, Tatiana von (The Eurographics Association, 2020)
    Data sets with large value range are difficult to visualize with traditional linear bar charts. Usually, a logarithmic scale is used in these cases. However, the logarithmic scale suffers from non-linearity. Recently, ...
  • 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 ...
  • Evaluating Strategies of Exploratory Visual Data Analysis in Multi Device Environments 

    Alsaiari, Abeer; Aurisano, Jillian; Johnson, Andrew E. (The Eurographics Association, 2020)
    Supporting exploratory visual data analysis is essential when multiple analysts collaborate using multiple devices. Yet, we still have no full understanding of how the iterative process of analysis unfolds in complex ...
  • Influence of Container Resolutions on the Layout Stability of Squarified and Slice-And-Dice Treemaps 

    Knauthe, Volker; Ballweg, Kathrin; Wunderlich, Marcel; Landesberger, Tatiana von; Guthe, Stefan (The Eurographics Association, 2020)
    In this paper, we analyze the layout stability for the squarify and slice-and-dice treemap layout algorithms when changing the visualization containers resolution. We also explore how rescaling a finished layout to another ...
  • Investigating the Role of Locus of Control in Moderating Complex Analytic Workflows 

    Crouser, R. Jordan; Ottley, Alvitta; Swanson, Kendra; Montoly, Ananda (The Eurographics Association, 2020)
    Throughout the last decade, researchers have shown that the effectiveness of a visualization tool depends on the experience, personality, and cognitive abilities of the user. This work has also demonstrated that these ...
  • 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 ...
  • Exploring Design Opportunities for Visually Congruent Proxemics in Information Visualization: A Design Space 

    Chulpongsatorn, Neil; Yu, Jackie; Knudsen, Søren (The Eurographics Association, 2020)
    We explore design opportunities for varying visual complexity of information visualizations based on distance. Through considering visual congruency and proxemics interaction, we describe a design space that considers ...

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