EuroVisSTAR2025
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Item EuroVis 2025 CGF 44-3 STARs: Frontmatter(The Eurographics Association and John Wiley & Sons Ltd., 2025) Angellini, Marco; Garth, Christoph; Kerren, Andreas; Angellini, Marco; Garth, Christoph; Kerren, AndreasItem Fluidly Revealing Information: A Survey of Un/foldable Data Visualizations(The Eurographics Association and John Wiley & Sons Ltd., 2025) Bludau, Mark-Jan; Dörk, Marian; Bruckner, Stefan; Tominski, Christian; Angellini, Marco; Garth, Christoph; Kerren, AndreasRevealing relevant information on demand is an essential requirement for visual data exploration. In this state-of-the-art report, we review and classify techniques that are inspired by the physical metaphor of un/folding to reveal relevant information or, conversely, to reduce irrelevant information in data visualizations. Similar to focus+context approaches, un/foldable visualizations transform the visual data representation, often between different granularities, in an integrated manner while preserving the overall context. This typically involves switching between different visibility states of data elements or adjusting the graphical abstraction linked by gradual display transitions.We analyze a literature corpus of 101 visualization techniques specifically with respect to their use of the un/folding metaphor. In particular, we consider the type of data, the focus scope and the effect scope, the number of un/folding states, the transformation type, and the controllability and interaction directness of un/folding. The collection of un/foldables is available as an online catalog that includes classic focus+context, semantic zooming, and multiscale visualizations as well as contemporary un/foldable visualizations. From our literature analysis, we further extract families of un/folding techniques, summarize empirical findings to date, and identify promising research directions for un/foldable data visualization.Item Nodes, Edges, and Artistic Wedges: A Survey on Network Visualization in Art History(The Eurographics Association and John Wiley & Sons Ltd., 2025) Tuscher, Michaela; Filipov, Velitchko; Kamencek, Teresa; Rosenberg, Raphael; Miksch, Silvia; Angellini, Marco; Garth, Christoph; Kerren, AndreasArt history traditionally relies on qualitative methods. However, the increasing availability of digitized archives has opened new possibilities for research by integrating visual analytics. This survey presents a comprehensive review of the intersection between art history and visual analytics, focusing on network visualization and how it supports researchers in analyzing and understanding complex art historical relationships through nodes (e.g., artists, artworks, institutions) and edges (the relationships between them). We explore how these approaches enable dynamic analysis, offering novel perspectives on artistic influence, stylistic evolution, and social interactions within the art world. Through this, we also examine wedges, a metaphor for the friction often present in art history between individuals and institutions. These tensions, which have historically played a pivotal role in shaping artistic movements, are now better understood through the lens of network visualization, revealing how conflicts and power dynamics influenced the development of art. Through a hierarchical categorization of the literature, we outline saturated problems and research areas as well as ongoing challenges in art historical research. Furthermore, we highlight the potential of visual analytics to bridge the gap between traditional qualitative research and modern computational analysis, offering interactive exploration, temporal analysis, and complex network visualization. We provide a structured foundation for future research in art history, emphasizing the value of network visualization in enriching the understanding of art history.Item Uncertainty-Aware Visualization of Biomolecular Structures(The Eurographics Association and John Wiley & Sons Ltd., 2025) Sterzik, Anna; Gillmann, Christina; Krone, Michael; Lawonn, Kai; Angellini, Marco; Garth, Christoph; Kerren, AndreasMolecular structure visualization is fundamental to molecular biology, aiding in understanding complex biological processes. While advancements in molecular visualization have greatly improved the representation of these structures, inherent uncertainties-such as inaccuracies in atomic positions or variability in secondary structure classifications-impact the accuracy of the visualizations. Uncertainty-aware visualization (UAV) emerged as a response to these challenges, integrating uncertainty into visual representations to improve data interpretation and decisionmaking. Despite extensive work on both molecular and uncertainty visualization (UV), there is a lack of comprehensive surveys addressing the intersection of these two fields. This paper provides a state-of-the-art review of UAV approaches for biomolecular structures. We propose a classification schema that organizes existing methods based on the type of molecule visualized, the manifestation of uncertainty, and the mapping of uncertainty to a visual representation. Using this framework, we identified research gaps and areas for future exploration in uncertainty-aware biomolecular structure visualization.