• Nested Papercrafts for Anatomical and Biological Edutainment 

  Schindler, Marwin; Korpitsch, Thorsten; Raidou, Renata Georgia; Wu, Hsiang-Yun (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  In this paper, we present a new workflow for the computer-aided generation of physicalizations, addressing nested configurations in anatomical and biological structures. Physicalizations are an important component of ...

• Misinformed by Visualization: What Do We Learn From Misinformative Visualizations? 

  Lo, Leo Yu-Ho; Gupta, Ayush; Shigyo, Kento; Wu, Aoyu; Bertini, Enrico; Qu, Huamin (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Data visualization is powerful in persuading an audience. However, when it is done poorly or maliciously, a visualization may become misleading or even deceiving. Visualizations give further strength to the dissemination ...

• Investigating the Role and Interplay of Narrations and Animations in Data Videos 

  Cheng, Hao; Wang, Junhong; Wang, Yun; Lee, Bongshin; Zhang, Haidong; Zhang, Dongmei (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Combining data visualizations, animations, and audio narrations, data videos can increase viewer engagement and effectively communicate data stories. Due to their increasing popularity, data videos have gained growing ...

• A Process Model for Dashboard Onboarding 

  Dhanoa, Vaishali; Walchshofer, Conny; Hinterreiter, Andreas; Stitz, Holger; Gröller, Eduard; Streit, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Dashboards are used ubiquitously to gain and present insights into data by means of interactive visualizations. To bridge the gap between non-expert dashboard users and potentially complex datasets and/or visualizations, ...

• A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs 

  Gathani, Sneha; Monadjemi, Shayan; Ottley, Alvitta; Battle, Leilani (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Researchers collect large amounts of user interaction data with the goal of mapping user's workflows and behaviors to their high-level motivations, intuitions, and goals. Although the visual analytics community has proposed ...

• VIBE: A Design Space for VIsual Belief Elicitation in Data Journalism 

  Mahajan, Shambhavi; Chen, Bonnie; Karduni, Alireza; Kim, Yea-Seul; Wall, Emily (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  The process of forming, expressing, and updating beliefs from data plays a critical role in data-driven decision making. Effectively eliciting those beliefs has potential for high impact across a broad set of applications, ...

• A Typology of Guidance Tasks in Mixed-Initiative Visual Analytics Environments 

  Pérez-Messina, Ignacio; Ceneda, Davide; El-Assady, Mennatallah; Miksch, Silvia; Sperrle, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Guidance has been proposed as a conceptual framework to understand how mixed-initiative visual analytics approaches can actively support users as they solve analytical tasks. While user tasks received a fair share of ...

• Exploring Effects of Ecological Visual Analytics Interfaces on Experts' and Novices' Decision-Making Processes: A Case Study in Air Traffic Control 

  Zohrevandi, Elmira; Westin, Carl A. L.; Vrotsou, Katerina; Lundberg, Jonas (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Operational demands in safety-critical systems impose a risk of failure to the operators especially during urgent situations. Operators of safety-critical systems learn to make decisions effectively throughout extensive ...

• DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos 

  Chen, Shuai; Li, Sihang; Li, Yanda; Zhu, Junlin; Long, Juanjuan; Chen, Siming; Zhang, Jiawan; Yuan, Xiaoru (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Danmu (Danmaku) is a unique social media service in online videos, especially popular in Japan and China, for viewers to write comments while watching videos. The danmu comments are overlaid on the video screen and ...

• Exploring How Visualization Design and Situatedness Evoke Compassion in the Wild 

  Morais, Luiz; Andrade, Nazareno; Sousa, Dandara (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  This work explores how the design and situatedness of data representations affect people's compassion with a case study concerning harassment episodes in a public place. Results contribute to advancing the understanding ...

• Mobile and Multimodal? A Comparative Evaluation of Interactive Workplaces for Visual Data Exploration 

  León, Gabriela Molina; Lischka, Michael; Luo, Wei; Breiter, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Mobile devices are increasingly being used in the workplace. The combination of touch, pen, and speech interaction with mobile devices is considered particularly promising for a more natural experience. However, we do not ...

• Hybrid Touch/Tangible Spatial Selection in Augmented Reality 

  Sereno, Mickael; Gosset, Stéphane; Besançon, Lonni; Isenberg, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  We study tangible touch tablets combined with Augmented Reality Head-Mounted Displays (AR-HMDs) to perform spatial 3D selections. We are primarily interested in the exploration of 3D unstructured datasets such as cloud ...

• Neural Flow Map Reconstruction 

  Sahoo, Saroj; Lu, Yuzhe; Berger, Matthew (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  In this paper we present a reconstruction technique for the reduction of unsteady flow data based on neural representations of time-varying vector fields. Our approach is motivated by the large amount of data typically ...

• SimilarityNet: A Deep Neural Network for Similarity Analysis Within Spatio-temporal Ensembles 

  Huesmann, Karim; Linsen, Lars (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Latent feature spaces of deep neural networks are frequently used to effectively capture semantic characteristics of a given dataset. In the context of spatio-temporal ensemble data, the latent space represents a similarity ...

• LOOPS: LOcally Optimized Polygon Simplification 

  Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Displaying polygonal vector data is essential in various application scenarios such as geometry visualization, vector graphics rendering, CAD drawing and in particular geographic, or cartographic visualization. Dealing ...

• Branch Decomposition-Independent Edit Distances for Merge Trees 

  Wetzels, Florian; Leitte, Heike; Garth, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Edit distances between merge trees of scalar fields have many applications in scientific visualization, such as ensemble analysis, feature tracking or symmetry detection. In this paper, we propose branch mappings, a novel ...

• Level of Detail Exploration of Electronic Transition Ensembles using Hierarchical Clustering 

  Sidwall Thygesen, Signe; Masood, Talha Bin; Linares, Mathieu; Natarajan, Vijay; Hotz, Ingrid (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  We present a pipeline for the interactive visual analysis and exploration of molecular electronic transition ensembles. Each ensemble member is specified by a molecular configuration, the charge transfer between two molecular ...

• A Flip-book of Knot Diagrams for Visualizing Surfaces in 4-Space 

  Liu, Huan; Zhang, Hui (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Just as 2D shadows of 3D curves lose structure where lines cross, 3D graphics projections of smooth 4D topological surfaces are interrupted where one surface intersects itself. They twist, turn, and fold back on themselves, ...

• Streaming Approach to In Situ Selection of Key Time Steps for Time-Varying Volume Data 

  Wu, Mengxi; Chiang, Yi-Jen; Musco, Christopher (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Key time steps selection, i.e., selecting a subset of most representative time steps, is essential for effective and efficient scientific visualization of large time-varying volume data. In particular, as computer simulations ...

• An Interactive Approach for Identifying Structure Definitions 

  Mikula, Natalia; Dörffel, Tom; Baum, Daniel; Hege, Hans-Christian (The Eurographics Association and John Wiley & Sons Ltd., 2022)

  Our ability to grasp and understand complex phenomena is essentially based on recognizing structures and relating these to each other. For example, any meteorological description of a weather condition and explanation of ...

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