• 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 ...

• 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 ...

• 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 Trinidad, 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 ...

• 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 ...

• 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 ...

• 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 ...

• 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, ...

• 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. ...

• 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 ...

• 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 ...

• 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 ...

• 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 ...

• 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 ...

• 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 ...

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