• Visual Analytics on Network Forgetting for Task-Incremental Learning 

  Li, Ziwei; Xu, Jiayi; Chao, Wei-Lun; Shen, Han-Wei (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Task-incremental learning (Task-IL) aims to enable an intelligent agent to continuously accumulate knowledge from new learning tasks without catastrophically forgetting what it has learned in the past. It has drawn increasing ...

• Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models 

  Schetinger, Victor; Bartolomeo, Sara Di; El-Assady, Mennatallah; McNutt, Andrew; Miller, Matthias; Passos, João Paulo Apolinário; Adams, Jane L. (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Generative text-to-image models (as exemplified by DALL-E, MidJourney, and Stable Diffusion) have recently made enormous technological leaps, demonstrating impressive results in many graphical domains-from logo design to ...

• LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity 

  Arunkumar, Anjana; Sharma, Shubham; Agrawal, Rakhi; Chandrasekaran, Sriram; Bryan, Chris (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Cross-task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different types of tasks, given definitions in the ...

• VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning 

  Metz, Yannick; Bykovets, Eugene; Joos, Lucas; Keim, Daniel; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Understanding the behavior of deep reinforcement learning agents is a crucial requirement throughout their development. Existing work has addressed the identification of observable behavioral patterns in state sequences ...

• Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments 

  Pathmanathan, Nelusa; Öney, Seyda; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  The distribution of visual attention can be evaluated using eye tracking, providing valuable insights into usability issues and interaction patterns. However, when used in real, augmented, and collaborative environments, ...

• Visual Gaze Labeling for Augmented Reality Studies 

  Öney, Seyda; Pathmanathan, Nelusa; Becher, Michael; Sedlmair, Michael; Weiskopf, Daniel; Kurzhals, Kuno (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Augmented Reality (AR) provides new ways for situated visualization and human-computer interaction in physical environments. Current evaluation procedures for AR applications rely primarily on questionnaires and interviews, ...

• Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations 

  Eschner, Johannes; Mindek, Peter; Waldner, Manuela (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators' goals are to convey a sense of the scene's overall complexity while, at the same time, ...

• Evaluating View Management for Situated Visualization in Web-based Handheld AR 

  Batch, Andrea; Shin, Sungbok; Liu, Julia; Butcher, Peter W. S.; Ritsos, Panagiotis D.; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  As visualization makes the leap to mobile and situated settings, where data is increasingly integrated with the physical world using mixed reality, there is a corresponding need for effectively managing the immersed user's ...

• ParaDime: A Framework for Parametric Dimensionality Reduction 

  Hinterreiter, Andreas; Humer, Christina; Kainz, Bernhard; Streit, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  ParaDime is a framework for parametric dimensionality reduction (DR). In parametric DR, neural networks are trained to embed high-dimensional data items in a low-dimensional space while minimizing an objective function. ...

• Beyond Alternative Text and Tables: Comparative Analysis of Visualization Tools and Accessibility Methods 

  Kim, Nam Wook; Ataguba, Grace; Joyner, Shakila Cherise; Zhao, Chuangdian; Im, Hyejin (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Modern visualization software and programming libraries have made data visualization construction easier for everyone. However, the extent of accessibility design they support for blind and low-vision people is relatively ...

• Unfolding Edges: Adding Context to Edges in Multivariate Graph Visualization 

  Bludau, Mark-Jan; Dörk, Marian; Tominski, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize ...

• WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval 

  Xiao, Shishi; Hou, Yihan; Jin, Cheng; Zeng, Wei (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations. The retrieved results are expected to conform to both explicit visual attributes ...

• DASS Good: Explainable Data Mining of Spatial Cohort Data 

  Wentzel, Andrew; Floricel, Carla; Canahuate, Guadalupe; Naser, Mohamed A.; Mohamed, Abdallah S.; Fuller, Clifton David; Dijk, Lisanne van; Marai, G. Elisabeta (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk. We describe the co-design of ...

• GO-Compass: Visual Navigation of Multiple Lists of GO terms 

  Harbig, Theresa; Paz, Mathias Witte; Nieselt, Kay (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Analysis pipelines in genomics, transcriptomics, and proteomics commonly produce lists of genes, e.g., differentially expressed genes. Often these lists overlap only partly or not at all and contain too many genes for ...

• visMOP - A Visual Analytics Approach for Multi-omics Pathways 

  Brich, Nicolas; Schacherer, Nadine; Hoene, Miriam; Weigert, Cora; Lehmann, Rainer; Krone, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  We present an approach for the visual analysis of multi-omics data obtained using high-throughput methods. The term ''omics'' denotes measurements of different types of biologically relevant molecules, like the products ...

• VENUS: A Geometrical Representation for Quantum State Visualization 

  Ruan, Shaolun; Yuan, Ribo; Guan, Qiang; Lin, Yanna; Mao, Ying; Jiang, Weiwen; Wang, Zhepeng; Xu, Wei; Wang, Yong (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Visualizations have played a crucial role in helping quantum computing users explore quantum states in various quantum computing applications. Among them, Bloch Sphere is the widely-used visualization for showing quantum ...

• Teru Teru Bozu: Defensive Raincloud Plots 

  Correll, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Univariate visualizations like histograms, rug plots, or box plots provide concise visual summaries of distributions. However, each individual visualization may fail to robustly distinguish important features of a distribution, ...

• Tac-Anticipator: Visual Analytics of Anticipation Behaviors in Table Tennis Matches 

  Wang, Jiachen; Wu, Yihong; Zhang, Xiaolong; Zeng, Yixin; Zhou, Zheng; Zhang, Hui; Xie, Xiao; Wu, Yingcai (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Anticipation skill is important for elite racquet sports players. Successful anticipation allows them to predict the actions of the opponent better and take early actions in matches. Existing studies of anticipation ...

• Exploring Interpersonal Relationships in Historical Voting Records 

  Cantareira, Gabriel Dias; Xing, Yiwen; Cole, Nicholas; Borgo, Rita; Abdul-Rahman, Alfie (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  Historical records from democratic processes and negotiation of constitutional texts are a complex type of data to navigate due to the many different elements that are constantly interacting with one another: people, ...

• Ferret: Reviewing Tabular Datasets for Manipulation 

  Lange, Devin; Sahai, Shaurya; Phillips, Jeff M.; Lex, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2023)

  How do we ensure the veracity of science? The act of manipulating or fabricating scientifc data has led to many high-profle fraud cases and retractions. Detecting manipulated data, however, is a challenging and time-consuming ...

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