• WebGPU for Scalable Client-Side Aggregate Visualization 

  Kimmersdorfer, Gerald; Wolf, Dominik; Waldner, Manuela (The Eurographics Association, 2023)

  WebGPU is a new graphics API, which now provides compute shaders for general purpose GPU operations in web browsers.We demonstrate the potential of this new technology for scalable information visualization by showing how ...

• Visualizing Pairwise Feature Interactions in Neural Additive Models 

  Steinparz, Christian; Hinterreiter, Andreas; Streit, Marc (The Eurographics Association, 2023)

  We present an approach for incorporating feature interactions into Neural Additive Models (NAMs), building upon existing work in this area, to enhance their predictive capabilities while maintaining interpretability. Our ...

• Visualizing Sunlight Radiation in the Arctic Ocean 

  Sørensen, Esben Bay; Attard, Karl; Gattuso, Jean-Pierre; Kusnick, Jakob; Jänicke, Stefan (The Eurographics Association, 2023)

  The Arctic is experiencing dramatic environmental transformation due to rising temperatures and melting ice, which are affecting its environment, wildlife, and human communities. Remote sensing technologies (e.g. satellites) ...

• Visual Planning and Analysis of Latin Formation Dance Patterns 

  Beck, Samuel; Doerr, Nina; Schmierer, Fabian; Sedlmair, Michael; Koch, Steffen (The Eurographics Association, 2023)

  Latin formation dancing is a team sport in which up to eight couples perform a coordinated choreography. A central part are the patterns formed by the dancers on the dance floor and the transitions between them. Planning ...

• Visual Linkage and Interactive Features of Evidente for an Enhanced Analysis of SNP-based Phylogenies 

  Paz, Mathias Witte; Harbig, Theresa; Varga, Dolores; Kränzle, Eileen; Nieselt, Kay (The Eurographics Association, 2023)

  Phylogenetic trees of a set of bacterial strains are often used to analyze their evolutionary relationships and they are commonly based on genomic features, such as single nucleotide polymorphisms (SNPs). Evidente - a ...

• Unveiling the Dispersal of Historical Books from Religious Orders 

  Xing, Yiwen; Yan, Dengyi; Dondi, Cristina; Borgo, Rita; Abdul-Rahman, Alfie (The Eurographics Association, 2023)

  In this paper, we introduce a visualization prototype designed to assist historians in exploring the dispersal of books from religious orders throughout Europe during the sixteenth century and beyond. The prototype is the ...

• VESPA: VTK Enhanced with Surface Processing Algorithms 

  Gueunet, Charles; Chhim, Tiffany L. (The Eurographics Association, 2023)

  This work introduces the VESPA project, a bridge between geometry processing with the Computational Geometry Algorithms Library (CGAL) and scientific visualization with the Visualization Tool Kit (VTK) and ParaView. After ...

• Symbolic Event Visualization for Analyzing User Input and Behavior of Augmented Reality Sessions 

  Rabsahl, Solveig; Satzger, Thomas; Kalamkar, Snehanjali; Grubert, Jens; Beck, Fabian (The Eurographics Association, 2023)

  Interacting with augmented reality (AR) systems involves different domains and is more complex than interacting with traditional user interfaces. To analyze AR interactions, we suggest an event visualization approach that ...

• The Challenge of Branch-Aware Data Manifold Exploration 

  Bot, Daniël M.; Peeters, Jannes; Aerts, Jan (The Eurographics Association, 2023)

  Branches within clusters can represent meaningful subgroups that should be explored. In general, automatically detecting branching structures within clusters requires analysing the distances between data points and a ...

• Supporting Medical Personnel at Analyzing Chronic Lung Diseases with Interactive Visualizations 

  Warnking, Rene P.; Scheer, Jan; Trinkmann, Frederik; Siegel, Fabian; Nagel, Till (The Eurographics Association, 2023)

  We present a visualization system for medical practitioners to analyze lung function data collected at different points in time. In particular, our approach aims to solve the problems practitioners encounter in their daily ...

• Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models 

  Hutchinson, Maeve; Slingsby, Aidan; Jianu, Radu; Madhyastha, Pranava (The Eurographics Association, 2023)

  In this paper, we present an empirical demonstration of a prompt-based learning approach, which utilizes pre-trained Large Language Models to generate visualization specifications from user queries expressed in natural ...

• Putting Annotations to the Test 

  Becker, Franziska; Ertl, Thomas (The Eurographics Association, 2023)

  When users work with interactive visualization systems, they get to see more accessible representations of raw data and interact with these, e.g. by filtering the data or modifying the visualization parameters like color. ...

• PTMVision: An Interactive Visualization Platform for Post-Translational Modifications of Proteins 

  Hackl, Simon; Jachmann, Caroline; Harbig, Theresa; Paz, Mathias Witte; Nieselt, Kay (The Eurographics Association, 2023)

  In recent years, proteins have been shown to carry many more post-translational modifications (PTMs) than originally thought. The visualization of proteins along with their PTMs facilitates exploration and understanding ...

• Project iMuse: an Interactive Visualizer of Lyrical Sentiment 

  Lu, Anna; Anstey, Jack; Zhang, Zack; Wang, Ruohe (The Eurographics Association, 2023)

  Our interactive visualization, Project iMuse [SA22a], provides the unique ability to view the most used words in popular music over the past 50+ years in conjunction with how they were used in songs through sentiment ...

• ORD-Xplore: Bridging Open Research Data Collections through Modality Abstractions 

  Sachdeva, Madhav; Blum, Michael; Stricker, Yann; Schreck, Tobias; Mumenthaler, Rudolf; Bernard, Jürgen (The Eurographics Association, 2023)

  We present ORD-Xplore, an approach to bridge gaps between digital editions, which represent valuable collections of multiple digitized research artifacts. However, digital editions often co-exist isolated, making it difficult ...

• MILADY (Matrix+Linear Diagram): Visual Exploration and Edition of Multivariate Graphs for Computer Networks Management 

  Guglielmino, Mathieu; Bronzino, Francesco; Sallaberry, Arnaud; Monnet, Sébastien (The Eurographics Association, 2023)

  This poster introduces MILADY (Matrix+Linear Diagram), a visual method for exploring and editing multivariate graphs from a computer networks perspective. Existing methods usually require multiple views, but our integrated ...

• Multi-Criteria Optimization for Automatic Dashboard Design 

  Choi, Jiwon; Jo, Jaemin (The Eurographics Association, 2023)

  We present Gleaner, an automatic dashboard design system that optimizes the design in terms of four design criteria, namely Specificity, Interestingness, Diversity, and Coverage. With these criteria, Gleaner not only ...

• Interaction Tasks for Explainable Recommender Systems 

  Al-Hazwani, Ibrahim; Alahmadi, Turki; Wardatzky, Kathrin; Inel, Oana; El-Assady, Mennatallah; Bernard, Jürgen (The Eurographics Association, 2023)

  In the modern web experience, users interact with various types of recommender systems. In this literature study, we investigate the role of interaction in explainable recommender systems using 27 relevant papers from ...

• Explorative Study on Semantically Resonant Colors for Combinations of Categories with Application to Meteorological Data 

  Pelchmann, Laura; Bremm, Sebastian; Ebell, Kerstin; Landesberger, Tatiana von (The Eurographics Association, 2023)

  We present an exploratory study of semantically resonant colors for combinations of categories. The goal is to support color selection of multi-labeled classes of classified data. We asked participants to assign colors to ...

• Constructing Hierarchical Continuity in Hilbert & Moore Treemaps 

  Scheibel, Willy; Döllner, Jürgen (The Eurographics Association, 2023)

  The Hilbert and Moore treemap layout algorithms are based on the space-filling Hilbert and Moore curves, respectively, to map tree-structured datasets to a 2D treemap layout. Considering multiple snapshots of a time-variant ...

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