Evaluation and Representation
Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty
Colin Ware and Christos Kastrisios
How Effective are Uni- and Multivariate Typographic Encodings? Studying the Usage of FontWeight, Oblique Angle, and Spacing
Andreas Bäuerle, Richard Brath, and Mennatallah El-Assady
Inferential Tasks as an Evaluation Technique for Visualization
Ashley Suh, Ab Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, and Remco Chang
Face-Based Glyphs Revisited
Antonia Schlieder, Philipp Wimmer, and Filip Sadlo
SSCA: Situated Space-time Cube Analytics
Fouad Alallah, Shariff Faleel, Yumiko Sakamoto, Bradley Rey, and Pourang Irani
Graphs and Trees
The Effect of Graph Layout on the Perception of Graph Density: An Empirical Study
Elektra Kypridemou, Michele Zito, and Marco Bertamini
Metaphoric Maps for Dynamic Vertex-weighted Graphs
Tamara Mchedlidze and Christian Schnorr
Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data
Ala Abuthawabeh, Abdelkader Baggag, and Michael Aupetit
DNC: Dynamic Neighborhood Change Faithfulness Metrics
Shijun Cai, Amyra Meidiana, and Seok-Hee Hong
DSS: Drawing Dynamic Graphs with Spectral Sparsification
Amyra Meidiana, Seok-Hee Hong, Yanyi Pu, Justin Lee, Peter Eades, and Jinwook Seo
Visual Analysis and Machine Learning
Blocks: Creating Rich Tables with Drag-and-Drop Interaction
Allison Whilden, Dirk Karis, Vidya Setlur, Rodion Degtyar, Jonathan Que, and Filippos Lymperopoulos
Towards Multimodal Exploratory Data Analysis: SoniScope as a Prototypical Implementation
Kajetan Enge, Alexander Rind, Michael Iber, Robert Höldrich, and Wolfgang Aigner
GROUPSET: A Set-Based Technique to Explore Time-Varying Data
Liqun Liu and Romain Vuillemot
Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists
João Palmeiro, Beatriz Malveiro, Rita Costa, David Polido, Ricardo Moreira, and Pedro Bizarro
Explaining Black Box with Visual Exploration of Latent Space
Francesco Bodria, Salvatore Rinzivillo, Daniele Fadda, Riccardo Guidotti, Fosca Giannotti, and Dino Pedreschi
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, and Jaegul Choo
Applications
A Design Study of Visualizing Historical Book Movement
Yiwen Xing, Cristina Dondi, Rita Borgo, and Alfie Abdul-Rahman
Visual Evaluation of Translation Alignment Data
Tariq Yousef and Stefan Jänicke
Visualization of Tonal Harmony for Jazz Lead Sheets
Carey Bunks, Tillman Weyde, Aidan Slingsby, and Jo Wood
CellTrackVis: Analyzing the Performance of Cell Tracking Algorithms
Weimin Li, Xiang Zhang, Alan Stern, Marc Birtwistle, and Federico Iuricich
Application-oriented Analysis of Material Interface Reconstruction Algorithms in Time-varying Bijel Simulations
Xueyi Bao, Nikhil Karthikeyan, Ulf D. Schiller, and Federico Iuricich

Recent Submissions

  • Application-oriented Analysis of Material Interface Reconstruction Algorithms in Time-varying Bijel Simulations 

    Bao, Xueyi; Karthikeyan, Nikhil; Schiller, Ulf D.; Iuricich, Federico (The Eurographics Association, 2022)
    Multimaterial interface reconstruction has been investigated over the years both from visualization and analytical point of view using different metrics. When focusing on visualization, interface continuity and smoothness ...
  • Visual Evaluation of Translation Alignment Data 

    Yousef, Tariq; Jänicke, Stefan (The Eurographics Association, 2022)
    Translation alignment plays a crucial role in various applications in natural language processing and digital humanities. With the recent advance in neural machine translation and contextualized language models, numerous ...
  • A Design Study of Visualizing Historical Book Movement 

    Xing, Yiwen; Dondi, Cristina; Borgo, Rita; Abdul-Rahman, Alfie (The Eurographics Association, 2022)
    Trading of 15th-century books is an area of great interest to historians. In this paper, we document the process behind an intensive design study and close collaboration with a domain expert on understanding crucial ...
  • Visualization of Tonal Harmony for Jazz Lead Sheets 

    Bunks, Carey; Weyde, Tillman; Slingsby, Aidan; Wood, Jo (The Eurographics Association, 2022)
    Jazz improvisation is the extemporaneous expression of melody, and musicians commonly base their performances on chord progressions given by lead sheets. It is standard practice to commit a progression to memory by analyzing ...
  • DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation 

    Kwon, Bum Chul; Lee, Jungsoo; Chung, Chaeyeon; Lee, Nyoungwoo; Choi, Ho-Jin; Choo, Jaegul (The Eurographics Association, 2022)
    Image classification models often learn to predict a class based on irrelevant co-occurrences between input features and an output class in training data. We call the unwanted correlations ''data biases,'' and the visual ...
  • CellTrackVis: Analyzing the Performance of Cell Tracking Algorithms 

    Li, Weimin; Zhang, Xiang; Stern, Alan; Birtwistle, Marc; Iuricich, Federico (The Eurographics Association, 2022)
    Live-cell imaging is a common data acquisition technique used by biologists to analyze cell behavior. Since manually tracking cells in a video sequence is extremely time-consuming, many automatic algorithms have been ...
  • Explaining Black Box with Visual Exploration of Latent Space 

    Bodria, Francesco; Rinzivillo, Salvatore; Fadda, Daniele; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino (The Eurographics Association, 2022)
    Autoencoders are a powerful yet opaque feature reduction technique, on top of which we propose a novel way for the joint visual exploration of both latent and real space. By interactively exploiting the mapping between ...
  • Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists 

    Palmeiro, João; Malveiro, Beatriz; Costa, Rita; Polido, David; Moreira, Ricardo; Bizarro, Pedro (The Eurographics Association, 2022)
    Machine learning on data streams is increasingly more present in multiple domains. However, there is often data distribution shift that can lead machine learning models to make incorrect decisions. While there are automatic ...
  • GROUPSET: A Set-Based Technique to Explore Time-Varying Data 

    Liu, Liqun; Vuillemot, Romain (The Eurographics Association, 2022)
    We introduce GroupSet, a technique to facilitate the exploration of temporal charts using a set-based approach. GroupSet operates in a twofold way: first it classifies temporal data into categories (sets) for each time ...
  • Towards Multimodal Exploratory Data Analysis: SoniScope as a Prototypical Implementation 

    Enge, Kajetan; Rind, Alexander; Iber, Michael; Höldrich, Robert; Aigner, Wolfgang (The Eurographics Association, 2022)
    The metaphor of auscultating with a stethoscope can be an inspiration to combine visualization and sonification for exploratory data analysis. This paper presents SoniScope, a multimodal approach and its prototypical ...
  • Blocks: Creating Rich Tables with Drag-and-Drop Interaction 

    Whilden, Allison; Karis, Dirk; Setlur, Vidya; Degtyar, Rodion; Que, Jonathan; Lymperopoulos, Filippos (The Eurographics Association, 2022)
    We present Blocks, a formalism that enables the building of visualizations by specifying layout, data relationships, and level of detail (LOD) for specific portions of the visualization. Users can create and manipulate ...
  • DSS: Drawing Dynamic Graphs with Spectral Sparsification 

    Meidiana, Amyra; Hong, Seok-Hee; Pu, Yanyi; Lee, Justin; Eades, Peter; Seo, Jinwook (The Eurographics Association, 2022)
    This paper presents DSS (Dynamic Spectral Sparsification), a sampling approach for drawing large and complex dynamic graphs which can preserve important structural properties of the original graph. Specifically, we present ...
  • DNC: Dynamic Neighborhood Change Faithfulness Metrics 

    Cai, Shijun; Meidiana, Amyra; Hong, Seok-Hee (The Eurographics Association, 2022)
    Faithfulness metrics measure how faithfully a visualization displays the ground truth information of the data. For example, neighborhood faithfulness metrics measure how faithfully the geometric neighbors of vertices in a ...
  • Metaphoric Maps for Dynamic Vertex-weighted Graphs 

    Mchedlidze, Tamara; Schnorr, Christian (The Eurographics Association, 2022)
    In this paper we study metaphoric maps of dynamic vertex-weighted graphs. Dynamic operations on such graphs allow a vertex to change the weight, vertices and edges appear and disappear. In the metaphoric map this is viewed ...
  • Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data 

    Abuthawabeh, Ala; Baggag, Abdelkader; Aupetit, Michael (The Eurographics Association, 2022)
    Interactive Voronoi Treemaps have been proposed to support arrangement and grouping tasks of data with snippet image representations. They rely on time-consuming manual actions to group data and cannot display more than a ...
  • The Effect of Graph Layout on the Perception of Graph Density: An Empirical Study 

    Kypridemou, Elektra; Zito, Michele; Bertamini, Marco (The Eurographics Association, 2022)
    The visual representation of a graph is crucial in understanding and analyzing its properties. In this empirical study, we examine the effect of different drawing layouts on our perception of graph density. We treat density ...
  • Face-Based Glyphs Revisited 

    Schlieder, Antonia; Wimmer, Philipp; Sadlo, Filip (The Eurographics Association, 2022)
    While face-based glyphs have known advantages for certain visualization tasks, they suffer from mixing two rather different visual properties of faces: individual traits and emotion expressions. This paper proposes a set ...
  • SSCA: Situated Space-time Cube Analytics 

    Alallah, Fouad; Faleel, Shariff; Sakamoto, Yumiko; Rey, Bradley; Irani, Pourang (The Eurographics Association, 2022)
    Spatio-temporal visualization research has been capturing much attention in recent years. Space-time cube (STC) has been commonly used to visualize this data to support analytic tasks. However, the current STC visualization ...
  • EuroVis 2022 Short Papers: Frontmatter 

    Agus, Marco; Aigner, Wolfgang; Hoellt, Thomas (The Eurographics Association, 2022)
  • Inferential Tasks as an Evaluation Technique for Visualization 

    Suh, Ashley; Mosca, Ab; Robinson, Shannon; Pham, Quinn; Cashman, Dylan; Ottley, Alvitta; Chang, Remco (The Eurographics Association, 2022)
    Designing suitable tasks for visualization evaluation remains challenging. Traditional evaluation techniques commonly rely on 'low-level' or 'open-ended' tasks to assess the efficacy of a proposed visualization, however, ...

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