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Vis | 2,025 | Designing for Disclosure in Data Visualizations | 10.1109/TVCG.2025.3634781 | Visualizing data often entails data transformations that can reveal and hide information, operations we dub disclosure tactics. Whether designers hide information intentionally or as an implicit consequence of other design choices, tools and frameworks for visualization offer little explicit guidance on disclosure. To ... | false | false | [
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Vis | 2,025 | DKMap: Interactive Exploration of Vision-Language Alignment in Multimodal Embeddings via Dynamic Kernel Enhanced Projection | 10.1109/TVCG.2025.3642641 | Examining vision-language alignment in multimodal embeddings is crucial for various tasks, such as evaluating generative models and filtering pretraining data. The intricate nature of high-dimensional features necessitates dimensionality reduction (DR) methods to explore alignment of multimodal embeddings. However, exi... | false | false | [
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Vis | 2,025 | Embodied Natural Language Interaction (NLI): Speech Input Patterns in Immersive Analytics | 10.1109/TVCG.2025.3634798 | Embodiment shapes how users verbally express intent when interacting with data through speech interfaces in immersive analytics. Despite growing interest in Natural Language Interactions (NLIs) for visual analytics in immersive environments, users' speech patterns and their use of embodiment cues in speech remain under... | false | false | [
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Vis | 2,025 | EmbryoProfiler: A Visual Clinical Decision Support System for IVF | 10.1109/TVCG.2025.3634780 | In-vitro fertilization (IVF) has become standard practice to address infertility, which affects more than one in ten couples in the US. However, current protocols yield relatively low success rates of about 20% per treatment cycle. A critical but complex and time-consuming step is the grading and selection of embryos f... | false | false | [
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Vis | 2,025 | EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts | 10.1109/TVCG.2025.3634249 | Multimodal vision-language models (VLMs) continue to achieve ever-improving scores on chart understanding benchmarks. Yet, we find that this progress does not fully capture the breadth of visual reasoning capabilities essential for interpreting charts. We introduce EncQA, a novel benchmark informed by the visualization... | false | false | [
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Vis | 2,025 | Enhancing Data Visualization Literacy: A Comparative Study of Learning Materials in Schools | 10.1109/TVCG.2025.3634817 | Interpreting data visualizations is an essential skill in today's education, yet students often struggle with understanding unfamiliar formats. This study investigates how four learning materials - textbook, comic, video, and game - affect middle- and high school students' ability to interpret line charts, area charts,... | true | false | [
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Vis | 2,025 | Envisage: Towards Expressive Visual Graph Querying | 10.1109/TVCG.2025.3634234 | Graph querying is the process of retrieving information from graph data using specialized languages (e.g., Cypher), often requiring programming expertise. Visual Graph Querying (VGQ) streamlines this process by enabling users to construct and execute queries via an interactive interface without resorting to complex cod... | true | false | [
"Xiaolin Wen",
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"Shuangyue Han",
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Vis | 2,025 | Evaluating Judgment of Spatial Correlation in Visual Displays of Scalar Field Distributions | 10.1109/TVCG.2025.3633830 | In this work we study the identification of spatial correlation in distributions of 2D scalar fields, presented across different forms of visual displays. We study simple visual displays that directly show color-mapped scalar fields, namely those drawn from a distribution, and whether humans can identify strongly corre... | false | false | [
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Vis | 2,025 | EventBox: A Novel Visual Encoding for Interactive Analysis of Temporal and Multivariate Attributes in Event Sequences | 10.1109/TVCG.2025.3633904 | The rapid growth and availability of event sequence data across domains requires effective analysis and exploration methods to facilitate decision-making. Visual analytics combines computational techniques with interactive visualizations, enabling the identification of patterns, anomalies, and attribute interactions. H... | false | false | [
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Vis | 2,025 | Exploring 3D Unsteady Flow using 6D Observer Space Interactions | 10.1109/TVCG.2025.3642506 | Visualizing and analyzing 3D unsteady flow fields is a very challenging task. We approach this problem by leveraging the mathematical foundations of 3D observer fields to explore and analyze 3D flows in reference frames that are more suitable to visual analysis than the input reference frame. We design novel interactiv... | true | false | [
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Vis | 2,025 | Eye of the Beholder: Towards Measuring Visualization Complexity | 10.1109/TVCG.2025.3634789 | Constructing expressive and legible visualizations is a key activity for visualization designers. While numerous design guidelines exist, research on how specific graphical features affect perceived visual complexity remains limited. In this paper, we report on a crowdsourced study to collect human ratings of perceived... | true | false | [
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Vis | 2,025 | F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding | 10.1109/TVCG.2025.3634812 | Interactive time-varying volume visualization is challenging due to its complex spatiotemporal features and sheer size of the dataset. Recent works transform the original discrete time-varying volumetric data into continuous Implicit Neural Representations (INR) to address the issues of compression, rendering, and supe... | true | false | [
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Vis | 2,025 | F2Stories: A Modular Framework for Multi-Objective Optimization of Storylines with a Focus on Fairness | 10.1109/TVCG.2025.3634228 | Storyline visualizations represent character interactions over time. When these characters belong to different groups, a new research question emerges: how can we balance optimization of readability across the groups while preserving the overall narrative structure of the story? Traditional algorithms that optimize glo... | false | false | [
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Vis | 2,025 | FlowForge: Guiding the Creation of Multi-Agent Workflows with Design Space Visualization as a Thinking Scaffold | 10.1109/TVCG.2025.3634627 | Multi-agent workflows have become an effective strategy for tackling complicated tasks by decomposing them into multiple sub-tasks and assigning them to specialized agents. However, designing optimal workflows remains challenging due to the vast and intricate design space. Current practices rely heavily on the intuitio... | false | false | [
"Pan Hao",
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Vis | 2,025 | From Vision to Touch: Bridging Visual and Tactile Principles for Accessible Data Representation | 10.1109/TVCG.2025.3634254 | Tactile graphics are widely used to present maps and statistical diagrams to blind and low vision (BLV) people, with accessibility guidelines recommending their use for graphics where spatial relationships are important. Their use is expected to grow with the advent of commodity refreshable tactile displays. However, i... | true | false | [
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"Bruce Maguire",
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Vis | 2,025 | GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis | 10.1109/TVCG.2025.3634637 | Unstructured meshes present challenges in scientific data analysis due to irregular distribution and complex connectivity. Computing and storing connectivity information is a major bottleneck for visualization algorithms, affecting both time and memory performance. Recent task-parallel data structures address this by p... | false | false | [
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Vis | 2,025 | GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP | 10.1109/TVCG.2025.3633894 | Despite the widespread use of Uniform Manifold Approximation and Projection (UMAP), the impact of its stochastic optimization process on the results remains underexplored. We observed that it often produces unstable results where the projections of data points are determined mostly by chance rather than reflecting neig... | true | false | [
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Vis | 2,025 | GoFish: a Grammar of More Graphics! | 10.1109/TVCG.2025.3634250 | Visualization grammars from ggplot2 to Vega-Lite are based on the Grammar of Graphics (GoG), our most comprehensive formal theory of visualization. The GoG helped expand the expressive gamut of visualization by moving beyond fixed chart types and towards a design space of composable operators. Yet, the resultant design... | true | false | [
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Vis | 2,025 | Graphical Perception of Icon Arrays versus Bar Charts for Value Comparisons in Health Risk Communication | 10.1109/TVCG.2025.3634630 | Visualizations support critical decision making in domains like health risk communication. This is particularly important for those at higher health risks and their care providers, allowing for better risk interpretation which may lead to more informed decisions. However, the kinds of visualizations used to represent d... | false | false | [
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Vis | 2,025 | GSCache: Real-Time Radiance Caching for Volume Path Tracing using 3D Gaussian Splatting | 10.1109/TVCG.2025.3634634 | Real-time path tracing is rapidly becoming the standard for rendering in entertainment and professional applications. In scientific visualization, volume rendering plays a crucial role in helping researchers analyze and interpret complex 3D data. Recently, photorealistic rendering techniques have gained popularity in s... | false | false | [
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Vis | 2,025 | Here's what you need to know about my data: Exploring Expert Knowledge's Role in Data Analysis | 10.1109/TVCG.2025.3634821 | Data-driven decision making has become a popular practice in science, industry, and public policy. Yet data alone, as an imperfect and partial representation of reality, is often insufficient to make good analysis decisions. Knowledge about the context of a dataset, its strengths and weaknesses, and its applicability f... | true | false | [
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Vis | 2,025 | How do Data Journalists Design Maps to Tell Stories? | 10.1109/TVCG.2025.3633911 | Maps are essential to news media as they provide a familiar way to convey spatial context and present engaging narratives. However, the design of journalistic maps may be challenging, as editorial teams need to balance multiple aspects, such as aesthetics, the audience's expected data literacy, tight publication deadli... | false | false | [
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Vis | 2,025 | HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery | 10.1109/TVCG.2025.3633887 | Modern scientific discovery faces challenges in integrating the rapidly expanding and diverse knowledge required for exploring novel knowledge in biology. While traditional hypothesis-driven research has proven effective, it is constrained by human cognitive limitations, knowledge complexity, and the high costs of tria... | false | false | [
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Vis | 2,025 | InsightChaser: Enhancing Visual Reasoning of Sports Tactical Visualization with Visual-Text Linking | 10.1109/TVCG.2025.3634639 | In sports analytics, tactical visualization is widely used to convey valuable insights. However, due to the complex domain knowledge and contextual information involved in tactical visualizations, it is challenging for users to connect high-level tactical insights to corresponding visual patterns. This requires users t... | false | false | [
"Ziao Liu",
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Vis | 2,025 | Interactive Composition Operators An Alternative Approach for Selecting Linear Embedding Parameters | 10.1109/TVCG.2025.3634874 | Linear embeddings support interactive visual exploration by mapping high-dimensional (nD) data into a two-dimensional space. Despite their popularity, selecting meaningful projection parameters remains a key challenge due to the infinite 2$n$-dimensional parameter space. Once an informative projection is found, users o... | true | false | [
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Vis | 2,025 | Interactive Hybrid Rice Breeding with Parametric Dual Projection | 10.1109/TVCG.2025.3634640 | Hybrid rice breeding crossbreeds different rice lines and cultivates the resulting hybrids in fields to select those with desirable agronomic traits, such as higher yields. Recently, genomic selection has emerged as an efficient way for hybrid rice breeding. It predicts the traits of hybrids based on their genes, which... | false | false | [
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Vis | 2,025 | Investigating the Effects of Augmented Reality on Message Credibility When Visualizing Environmental Impacts | 10.1109/TVCG.2025.3634786 | Augmented reality (AR) has increasingly been used to communicate environmental impacts, offering greater engagement than conventional displays. However, its effect on message credibility-how much people believe in the content of the communication-remains unclear. In a preregistered study, we compared the perceived cred... | false | false | [
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Vis | 2,025 | Locally Adapted Reference Frame Fields using Moving Least Squares | 10.1109/TVCG.2025.3634845 | The detection and analysis of features in fluid flow are important tasks in fluid mechanics and flow visu alization. One recent class of methods to approach this problem is to first compute objective optimal reference frames, relative to which the input vector field becomes as steady as possible. However, existing meth... | false | false | [
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Vis | 2,025 | MisVisFix: An Interactive Dashboard for Detecting, Explaining, and Correcting Misleading Visualizations using Large Language Models | 10.1109/TVCG.2025.3633884 | Misleading visualizations pose a significant challenge to accurate data interpretation. While recent research has explored the use of Large Language Models (LLMs) for detecting such misinformation, practical tools that also support explanation and correction remain limited. We present MisVisFix, an interactive dashboar... | false | false | [
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Vis | 2,025 | Mixture of Cluster-guided Experts for Retrieval-Augmented Label Placement | 10.1109/TVCG.2025.3642518 | Text labels are widely used to convey auxiliary information in visualization and graphic design. The substantial variability in the categories and structures of labeled objects leads to diverse label layouts. Recent single-model learning-based solutions in label placement struggle to capture fine-grained differences be... | true | false | [
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Vis | 2,025 | MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression | 10.1109/TVCG.2025.3633893 | Implicit neural representations (INRs) have emerged as a transformative paradigm for time-varying volumetric data compression and representation, owing to their ability to model high-dimensional signals effectively. INRs represent scalar fields based on sampled coordinates, typically using either a single network for t... | false | false | [
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Vis | 2,025 | MoMo - Combining Neuron Morphology and Connectivity for Interactive Motif Analysis in Connectomes | 10.1109/TVCG.2025.3634808 | Connectomics, a subfield of neuroscience, reconstructs structural and functional brain maps at synapse-level resolution. These complex spatial maps consist of tree-like neurons interconnected by synapses. Motif analysis is a widely used method for identifying recurring subgraph patterns in connectomes. These motifs, th... | false | false | [
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Vis | 2,025 | Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems | 10.1109/TVCG.2025.3634649 | Though powerful tools for analysis and communication, interactive visualizations often fail to support real-time interaction with large datasets with millions or more records. To highlight and filter data, users indicate values or intervals of interest. Such selections may span multiple components, combine in complex w... | true | false | [
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Vis | 2,025 | Motif Simplification for BioFabric Network Visualizations: Improving Pattern Recognition and Interpretation | 10.1109/TVCG.2025.3634266 | Detecting and interpreting common patterns in relational data is crucial for understanding complex topological structures across various domains. These patterns, or network motifs, can often be detected algorithmically. However, visual inspection remains vital for exploring and discovering patterns. This paper focuses ... | false | false | [
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Vis | 2,025 | Natural Language-Driven Viewpoint Navigation for Volume Exploration via Semantic Block Representation | 10.1109/TVCG.2025.3634651 | Exploring volumetric data is crucial for interpreting scientific datasets. However, selecting optimal viewpoints for effective navigation can be challenging, particularly for users without extensive domain expertise or familiarity with 3D navigation. In this paper, we propose a novel framework that leverages natural la... | false | false | [
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Vis | 2,025 | Neighborhood-Preserving Voronoi Treemaps | 10.1109/TVCG.2025.3633905 | Voronoi treemaps are used to depict nodes and their hierarchical relationships simultaneously. However, in addition to the hierarchical structure, data attributes, such as co-occurring features or similarities, frequently exist. Examples include geographical attributes like shared borders between countries or contextua... | false | false | [
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Vis | 2,025 | NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting | 10.1109/TVCG.2025.3633888 | Traditional volume visualization (VolVis) methods, like direct volume rendering, suffer from rigid transfer function designs and high computational costs. Although novel view synthesis approaches enhance rendering efficiency, they require additional learning effort for non-experts and lack support for semantic-level in... | true | false | [
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Vis | 2,025 | OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration | 10.1109/TVCG.2025.3633870 | Open-world object detection (OWOD) extends traditional object detection to identifying both known and unknown object, necessitating continuous model adaptation as new annotations emerge. Current approaches face significant limitations: 1) data-hungry training due to reliance on a large number of crowdsourced annotation... | false | false | [
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Vis | 2,025 | OwnershipTracker: A Visual Analytics Approach to Uncovering Historical Book Ownership Patterns | 10.1109/TVCG.2025.3634653 | Ownership relationships of early printed books from the 15th century reveal complex patterns of distribution and possession, offering valuable insights for historical research. This paper presents OwnershipTracker, a visual analytics application developed to explore and trace these relationships using data from the Mat... | false | false | [
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Vis | 2,025 | Perceiving Slope and Acceleration: Evidence for Variable Tempo Sampling in Pitch-Based Sonification of Functions | 10.1109/TVCG.2025.3633835 | Sonification offers a non-visual way to understand data, with pitch-based encodings being the most common. Yet, how well people perceive slope and acceleration—key features of data trends—remains poorly understood. Drawing on people's natural abilities to perceive tempo, we introduce a novel sampling method for pitch-b... | true | false | [
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Vis | 2,025 | PiCCL: Data-Driven Composition of Bespoke Pictorial Charts | 10.1109/TVCG.2025.3634264 | We present PiCCL (Pictorial Chart Composition Language), a new language that enables users to easily create pictorial charts using a set of simple operators. To support systematic construction while addressing the main challenge of expressive pictorial chart authoring-manual composition and fine-tuning of visual proper... | false | false | [
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Vis | 2,025 | PixelatedScatter: Arbitrary-level Visual Abstraction for Large-scale Multiclass Scatterplots | 10.1109/TVCG.2025.3633908 | Overdraw is inevitable in large-scale scatterplots. Current scatterplot abstraction methods lose features in medium-to-low density regions. We propose a visual abstraction method designed to provide better feature preservation across arbitrary abstraction levels for large-scale scatterplots, particularly in medium-to-l... | false | false | [
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Vis | 2,025 | ProactiveVA: Proactive Visual Analytics with LLM-based UI Agent | 10.1109/TVCG.2025.3642628 | Visual analytics (VA) is typically applied to complex data, thus requiring complex tools. While visual analytics empowers analysts in data analysis, analysts may get lost in the complexity occasionally. This highlights the need for intelligent assistance mechanisms. However, even the latest LLM-assisted VA systems only... | false | false | [
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Vis | 2,025 | Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly | 10.1109/TVCG.2025.3634791 | Vision Language Models (VLMs) demonstrate promising chart comprehension capabilities. Yet, prior explorations of their visualization literacy have been limited to assessing their response correctness and fail to explore their internal reasoning. To address this gap, we adapted attention-guided class activation maps (AG... | false | false | [
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Vis | 2,025 | Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles | 10.1109/TVCG.2025.3634820 | Design studies aim to develop visualization solutions for real-world problems across various application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process, providing capabilities such as creative problem-solving, data handling, and insi... | true | false | [
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Vis | 2,025 | Quantifying Visualization Vibes: Measuring Socio-Indexicality at Scale | 10.1109/TVCG.2025.3634819 | What impressions might readers form with visualizations that go beyond the data they encode? In this paper, we build on recent work that demonstrates the socio-indexical function of visualization, showing that visualizations communicate more than the data they explicitly encode. Bridging this with prior work examining ... | true | false | [
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Vis | 2,025 | Reframing Pattern: A Comprehensive Approach to a Composite Visual Variable | 10.1109/TVCG.2025.3633909 | We present a new comprehensive theory for explaining, exploring, and using pattern as a visual variable in visualization. Although patterns have long been used for data encoding and continue to be valuable today, their conceptual foundations are precarious: the concepts and terminology used across the research literatu... | false | false | [
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Vis | 2,025 | RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation | 10.1109/TVCG.2025.3633901 | Accurate and reliable visualization of spatiotemporal sensor data such as environmental parameters and meteorological conditions is crucial for informed decision-making. Traditional spatial interpolation methods, however, often fall short of producing reliable interpolation results due to the limited and irregular sens... | false | false | [
"Juntong Chen",
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Vis | 2,025 | ReVISit 2: A Full Experiment Life Cycle User Study Framework | 10.1109/TVCG.2025.3633896 | Online user studies of visualizations, visual encodings, and interaction techniques are ubiquitous in visualization research. Yet, designing, conducting, and analyzing studies effectively is still a major burden. Although various packages support such user studies, most solutions address only facets of the experiment l... | true | false | [
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Vis | 2,025 | Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations | 10.1109/TVCG.2025.3634631 | This work investigates the current research on in-situ visualisations for running: visualisations about data that are referred to during the running activity. We analyse 47 papers from 33 Human-Computer Interaction and Visualisation venues and identify six dimensions of a design space of in-situ running visualisations.... | true | false | [
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Vis | 2,025 | SceneLoom: Communicating Data with Scene Context | 10.1109/TVCG.2025.3634816 | In data-driven storytelling contexts such as data journalism and data videos, data visualizations are often presented alongside real-world imagery to support narrative context. However, these visualizations and contextual images typically remain separated, limiting their combined narrative expressiveness and engagement... | false | false | [
"Lin Gao",
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"Jiexiang Lan",
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Vis | 2,025 | SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data | 10.1109/TVCG.2025.3634794 | Dimensionality reduction techniques help analysts make sense of complex, high-dimensional spatial datasets, such as multiplexed tissue imaging, satellite imagery, and astronomical observations, by projecting data attributes into a two-dimensional space. However, these techniques typically abstract away crucial spatial,... | false | false | [
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Vis | 2,025 | Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation | 10.1109/TVCG.2025.3633875 | Text-to-3D (T23D) generation has transformed digital content creation, yet remains bottlenecked by blind trial-and-error prompting processes that yield unpredictable results. While visual prompt engineering has advanced in text-to-image domains, its application to 3D generation presents unique challenges requiring mult... | false | false | [
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Vis | 2,025 | Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend | 10.1109/TVCG.2025.3633886 | Recovering a continuous colormap from a single 2D scalar field visualization can be quite challenging, especially in the absence of a corresponding color legend. In this paper, we propose a novel colormap recovery approach that extracts the colormap from a color-encoded 2D scalar field visualization by simultaneously p... | true | false | [
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Vis | 2,025 | Set Size Matters: Capacity-Limited Perception of Grouped Spatial-Frequency Glyphs | 10.1109/TVCG.2025.3634876 | Recent work suggests that shape can encode quantitative data via a mapping between value and spatial frequency (SF). However, the set-size effect when perceiving multiple SF based items remains unclear. While automatic feature extraction has been found to be less affected by set size (number of items in a group), highe... | true | false | [
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Vis | 2,025 | Shifting Expectations for Encoding Rules Mitigates Misinterpretation of Connected Scatterplots | 10.1109/TVCG.2025.3634225 | Connected scatterplots visualize time-series data by connecting the points on a scatterplot based on temporal sequence. Viewers are prone to misinterpret the direction of time in these visualizations, possibly because they encode time with an unexpected rule - along the connected line (TIME IS A LINE) instead of from l... | false | false | [
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Vis | 2,025 | Stitching Meaning: Practices of Data Textile Creators | 10.1109/TVCG.2025.3634255 | Tens of thousands of people have represented data by creating data-encoding textile pieces like blankets, scarves, and more. A prototypical example is the temperature blanket, which represents the weather through rows or blocks of different colors mapped to temperature ranges. While researchers have used fiber arts med... | true | false | [
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Vis | 2,025 | Story Ribbons: Reimagining Storyline Visualizations with Large Language Models | 10.1109/TVCG.2025.3634265 | Analyzing literature involves tracking interactions between characters, locations, and themes. Visualization has the potential to facilitate the mapping and analysis of these complex relationships, but capturing structured information from unstructured story data remains a challenge. As large language models (LLMs) con... | true | false | [
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Vis | 2,025 | StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data | 10.1109/TVCG.2025.3634647 | The visualization and analysis of street and pedestrian networks are important to various domain experts, including urban planners, climate researchers, and health experts. This has led to the development of new techniques for street and pedestrian network visualization, expanding possibilities for effective data prese... | false | false | [
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Vis | 2,025 | StressDiffVis: Visual Analytics for Multi-Model Stress Comparison | 10.1109/TVCG.2025.3634642 | Structural analysis is essential in modern industrial design, where engineers iteratively refine geometry models based on stress simulations to achieve optimized designs. However, comparing stress distributions across multiple model variants remains challenging due to the complexity of stress fields, which are high-dim... | false | false | [
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Vis | 2,025 | SynAnno: Interactive Guided Proofreading of Synaptic Annotations | 10.1109/TVCG.2025.3634824 | Connectomics, a subfield of neuroscience, aims to map and analyze synapse-level wiring diagrams of the nervous system. While recent advances in deep learning have accelerated automated neuron and synapse segmentation, reconstructing accurate connectomes still demands extensive human proofreading to correct segmentation... | true | false | [
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Vis | 2,025 | TactiVis: Towards Better Understanding of Team-based Combat Tactics | 10.1109/TVCG.2025.3634656 | Team-based combat scenarios are prevalent in various real-world applications like video gaming. Analyzing tactics in these scenarios is essential for gaining insights into game processes and improving combat behaviors. The decision-making data in team-based combat include character actions, movement trajectories, and e... | true | false | [
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Vis | 2,025 | Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention | 10.1109/TVCG.2025.3634815 | Accounting for individual differences can improve the effectiveness of visualization design. While the role of visual attention in visualization interpretation is well recognized, existing work often overlooks how this behavior varies based on visual literacy levels. Based on data from a 235-participant user study cove... | false | false | [
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Vis | 2,025 | TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting | 10.1109/TVCG.2025.3634643 | Advancements in volume visualization (VolVis) focus on extracting insights from 3D volumetric data by generating visually compelling renderings that reveal complex internal structures. Existing VolVis approaches have explored non-photorealistic rendering techniques to enhance the clarity, expressiveness, and informativ... | false | false | [
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Vis | 2,025 | TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields | 10.1109/TVCG.2025.3634844 | In this paper, we present a novel compression framework, TFZ, that preserves the topology of 2D symmetric and asymmetric second-order tensor fields defined on flat triangular meshes. A tensor field assigns a tensor—a multi-dimensional array of numbers—to each point in space. Tensor fields, such as the stress and strain... | false | false | [
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Vis | 2,025 | The Hue-Man Factor: An Empirical Evaluation of Visualization Perception and Accessibility Across Color Vision Profiles | 10.1109/TVCG.2025.3634261 | Color is a powerful tool in data visualization, but for individuals with color vision deficiencies (CVD), hue can become a barrier rather than an aid. In this paper, we examine how real-world visualizations are perceived across vision profiles through three complementary studies. Study 1 assessed how normal vision part... | false | false | [
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Vis | 2,025 | The Impact of Visual Segmentation on Lexical Word Recognition | 10.1109/TVCG.2025.3634641 | When a reader encounters a word in English, they split the word into smaller orthographic units in the process of recognizing its meaning. For example, “rough”, when split according to phonemes, is decomposed as r-ou-gh (not as r-o-ugh or r-ough), where each group of letters corresponds to a sound. Since there are many... | true | false | [
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Vis | 2,025 | TiVy: Time Series Visual Summary for Scalable Visualization | 10.1109/TVCG.2025.3633882 | Visualizing multiple time series presents fundamental tradeoffs between scalability and visual clarity. Time series capture the behavior of many large-scale real-world processes, from stock market trends to urban activities. Users often gain insights by visualizing them as line charts, juxtaposing or superposing multip... | false | false | [
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Vis | 2,025 | TrajLens: Visual Analysis for Constructing Cell Developmental Trajectories in Cross-Sample Exploration | 10.1109/TVCG.2025.3634875 | Constructing cell developmental trajectories is a critical task in single-cell RNA sequencing (scRNA-seq) analysis, enabling the inference of potential cellular progression paths. However, current automated methods are limited to establishing cell developmental trajectories within individual samples, necessitating biol... | true | false | [
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Vis | 2,025 | TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials | 10.1109/TVCG.2025.3634803 | Eligibility criteria play a critical role in clinical trials by determining the target patient population, which significantly influences the outcomes of medical interventions. However, current approaches for designing eligibility criteria have limitations to support interactive exploration of the large space of eligib... | false | false | [
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Vis | 2,025 | Uncertainty-Aware PCA Revisited | 10.1109/TVCG.2025.3633868 | Principal Component Analysis (PCA) is perhaps the most popular linear projection technique for dimensionality reduction. We consider PCA under the assumption that the high-dimensional data points are equipped with Gaussian uncertainty. Several approaches to such uncertainty-aware PCA have been developed recently in the... | true | false | [
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Vis | 2,025 | Understanding Aortic Dissection Hemodynamics: Evaluating Adapted Smoke Surfaces Against Streakline-Based Techniques | 10.1109/TVCG.2025.3634823 | Aortic dissection is a life-threatening cardiovascular disease characterized by blood entering the media layer of the aortic vessel wall. This creates a second flow channel, known as the false lumen, which weakens the aortic wall and can potentially lead to fatal aortic rupture. Current risk stratification of aortic di... | false | false | [
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Vis | 2,025 | Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis | 10.1109/TVCG.2025.3634646 | Understanding the behavior of large language models (LLMs) is crucial for ensuring their safe and reliable use. However, existing explainable AI (XAI) methods for LLMs primarily rely on word-level explanations, which are often computationally inefficient and misaligned with human reasoning processes. Moreover, these me... | true | false | [
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Vis | 2,025 | Unveiling the Visual Rhetoric of Persuasive Cartography: A Case Study of the Design of Octopus Maps | 10.1109/TVCG.2025.3634776 | When designed deliberately, data visualizations can become powerful persuasive tools, influencing viewers' opinions, values, and actions. While researchers have begun studying this issue (e.g., to evaluate the effects of persuasive visualization), we argue that a fundamental mechanism of persuasion resides in rhetorica... | true | false | [
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Vis | 2,025 | Urbanite: A Dataflow-Based Framework for Human-AI Interactive Alignment in Urban Visual Analytics | 10.1109/TVCG.2025.3634644 | With the growing availability of urban data and the increasing complexity of societal challenges, visual analytics has become essential for deriving insights into pressing real-world problems. However, analyzing such data is inherently complex and iterative, requiring expertise across multiple domains. The need to mana... | false | false | [
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Vis | 2,025 | Using Tactile Charts to Support Comprehension and Learning of Complex Visualizations for Blind and Low-Vision Individuals | 10.1109/TVCG.2025.3633874 | We investigate whether tactile charts support comprehension and learning of complex visualizations for blind and low-vision (BLV) individuals and contribute four tactile chart designs and an interview study. Visualizations are powerful tools for conveying data, yet BLV individuals typically can rely only on assistive t... | true | false | [
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Vis | 2,025 | VA-Blueprint: Uncovering Building Blocks for Visual Analytics System Design | 10.1109/TVCG.2025.3634809 | Designing and building visual analytics (VA) systems is a complex, iterative process that requires the seamless integration of data processing, analytics capabilities, and visualization techniques. While prior research has extensively examined the social and collaborative aspects of VA system authoring, the practical c... | false | false | [
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Vis | 2,025 | VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels | 10.1109/TVCG.2025.3634263 | Chart corpora, which comprise data visualizations and their semantic labels, are crucial for advancing visualization research. However, the labels in most existing corpora are high-level (e.g., chart types), hindering their utility for broader applications in the era of AI. In this paper, we contribute VisAnatomy, a co... | false | false | [
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Vis | 2,025 | VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval | 10.1109/TVCG.2025.3634818 | The dissemination of visualizations is primarily in the form of raster images, which often results in the loss of critical information such as source code, interactive features, and metadata. While previous methods have proposed embedding metadata into images to facilitate Visualization Image Data Retrieval (VIDR), mos... | false | false | [
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Vis | 2,025 | VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models | 10.1109/TVCG.2025.3634257 | Vision-language (VL) models have shown transformative potential across various critical domains due to their capability to comprehend multi-modal information. However, their performance frequently degrades under distribution shifts, making it crucial to assess and improve robustness against real-world data corruption e... | false | false | [
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Vis | 2,025 | Visual Analytics Using Tensor Unified Linear Comparative Analysis | 10.1109/TVCG.2025.3633912 | Comparing tensors and identifying their (dis)similar structures is fundamental in understanding the underlying phenomena for complex data. Tensor decomposition methods help analysts extract tensors' essential characteristics and aid in visual analytics for tensors. In contrast to dimensionality reduction (DR) methods d... | true | false | [
"Naoki Okami",
"Kazuki Miyake",
"Naohisa Sakamoto",
"Jorji Nonaka",
"Takanori Fujiwara"
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"url": "https://arxiv.org/abs/2507.19988",
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},
{
"name": "IEEE VIS Conference Page",
"url": "https://ieeevis.org/year/2025/program/paper_b5fec96f-039e... |
Vis | 2,025 | Visual Extraction of Interaction Patterns Guided by Hierarchical Clustering and Process Mining | 10.1109/TVCG.2025.3634837 | Understanding user interactions in digital systems is essential in analyzing user behaviors and improving system usability. However, a collection of interaction sequences is often large and unstructured, making it challenging to uncover interaction patterns. To address this challenge, we introduce a visual analytics ap... | true | false | [
"Peilin Yu 0002",
"Aida Nordman",
"Takanori Fujiwara",
"Marta Koc-Januchta",
"Konrad J. Schönborn",
"Lonni Besançon",
"Katerina Vrotsou"
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"url": "https://doi.org/10.31219/osf.io/n5dxe_v1",
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{
"name": "IEEE VIS Conference Page",
"url": "https://ieeevis.org/year/2025/program/paper_44... |
Vis | 2,025 | Visualization Badges: Communicating Design and Provenance through Graphical Labels Alongside Visualizations | 10.1109/TVCG.2025.3634782 | This paper presents Visualization Badges, graphical labels shown alongside visualizations to communicate provenance and design considerations to enhance understandability and transparency. Badges may, for example, highlight a major finding, disclose that an axis has been truncated, or warn of possible visual artifacts.... | false | false | [
"Valentin Edelsbrunner",
"Jinrui Wang",
"Alexis Pister",
"Tomas Vancisin",
"Sian Phillips",
"Min Chen 0001",
"Benjamin Bach"
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"icon": "project_website"
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{
"name": "IEEE VIS Conference Page",
"url": "https://ieeevis.org/year/2025/p... |
Vis | 2,025 | Visualization Vibes: The Socio-Indexical Function of Visualization Design | 10.1109/TVCG.2025.3634814 | In contemporary information ecologies saturated with misinformation, disinformation, and a distrust of science itself, public data communication faces significant hurdles. Although visualization research has broadened criteria for effective design, governing paradigms privilege the accurate and efficient transmission o... | true | false | [
"Michelle Morgenstern",
"Amy Rae Fox",
"Graham M. Jones",
"Arvind Satyanarayan"
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{
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"url": "https://ieeevis.org/year/2025/progra... |
Vis | 2,025 | Visualizing Trust: How Chart Embellishments Influence Perceptions of Credibility | 10.1109/TVCG.2025.3634785 | Effective data visualizations enhance perception, support cognitive processing, and facilitate informed decision-making by aligning with human perceptual strengths. Conversely, poorly designed visualizations can impede comprehension, introduce interpretive bias, and diminish the perceived credibility of the conveyed me... | false | false | [
"Hayeong Song",
"Aeree Cho",
"Cindy Xiong Bearfield",
"John T. Stasko"
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Vis | 2,025 | VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization | 10.1109/TVCG.2025.3634655 | We present VizGenie, a self-improving, agentic framework that advances scientific visualization through large language model (LLM) by orchestrating of a collection of domain-specific and dynamically generated modules. Users initially access core functionalities—such as threshold-based filtering, slice extraction, and s... | false | false | [
"Ayan Biswas 0001",
"Terece L. Turton",
"Nishath Rajiv Ranasinghe",
"Shawn M. Jones",
"Bradley C. Love",
"William M. Jones",
"Aric A. Hagberg",
"Han-Wei Shen",
"Nathan DeBardeleben",
"Earl Lawrence"
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{
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"icon": "video"
},
{
"name": "IEEE VIS Conference Page",
"url": "https://ieeevis.org/year/2025/program/paper_9e05... |
Vis | 2,025 | VolMoVis: Real-Time Volume Generation and Motion Visualization with Dynamic Tomographic Reconstruction | 10.1109/TVCG.2025.3634648 | We present VolMoVis, a method for dynamic tomographic reconstruction that supports real-time volume generation and volumetric motion visualization from 2D projections. Visualizing the motion of 3D anatomical structures, such as organs and tumors, is critical for computer-aided interventions. However, conventional 4D vo... | false | false | [
"Gaofeng Deng",
"Arie E. Kaufman"
] | [] | [
"O"
] | [
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Vis | 2,025 | VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians | 10.1109/TVCG.2025.3642516 | Visualization of large-scale time-dependent simulation data is crucial for domain scientists to analyze complex phenomena, but it demands significant I/O bandwidth, storage, and computational resources. To enable effective visualization on local, low-end machines, recent advances in view synthesis techniques, such as n... | false | false | [
"Siyuan Yao",
"Chaoli Wang 0001"
] | [] | [
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"O"
] | [
{
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"url": "https://arxiv.org/abs/2507.12667",
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{
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"url": "https://ieeevis.org/year/2025/program/paper_3d97e8c0-6d8b-4fe5-aa06-3ddf284b1a45.html",
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}
] |
Vis | 2,025 | What is the Color of Serendipity? Investigating the Use of Language Models for Semantically Resonant Color Generation | 10.1109/TVCG.2025.3634243 | Humans inherently connect certain colors with particular concepts in semantically meaningful ways that facilitate visual communication. These colors are known as semantically resonant colors. For instance, we associate “sky” and “ocean” with shades of blue, and “cherry” with red. In this paper, we investigate how langu... | false | false | [
"Shahreen Salim Aunti",
"Tanzir Pial",
"Klaus Mueller 0001"
] | [] | [
"O"
] | [
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"url": "https://ieeevis.org/year/2025/program/paper_b00813fe-c0fb-4bdb-8040-b6e338088247.html",
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Vis | 2,025 | What Makes a Visualization Image Complex? | 10.1109/TVCG.2025.3633827 | We investigate the perceived visual complexity (VC) in data visualizations using objective image-based metrics. We collected VC scores through a large-scale crowdsourcing experiment involving 349 participants and 1,800 visualization images. We then examined how these scores align with 12 image-based metrics spanning pi... | false | false | [
"Mengdi Chu",
"Zefeng Qiu",
"Meng Ling",
"Shuning Jiang",
"Robert S. Laramee",
"Michael Sedlmair",
"Jian Chen 0006"
] | [] | [
"P",
"O"
] | [
{
"name": "Paper Preprint",
"url": "https://osf.io/preprints/osf/ypez4",
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{
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"url": "https://osf.io/bdet6/",
"icon": "other"
},
{
"name": "Preregistration",
"url": "https://osf.io/5xe8a",
"icon": "other"
},
{
"name... |
Vis | 2,025 | Write, Rank, or Rate: Comparing Methods for Studying Visualization Affordances | 10.1109/TVCG.2025.3633872 | A growing body of work on visualization affordances highlights how specific design choices shape reader takeaways from information visualizations. However, mapping the relationship between design choices and reader conclusions often requires labor-intensive crowdsourced studies, generating large corpora of free-respons... | true | false | [
"Chase Stokes",
"Kylie R. Lin",
"Cindy Xiong Bearfield"
] | [] | [
"P",
"O"
] | [
{
"name": "Paper Preprint",
"url": "https://arxiv.org/abs/2507.17024",
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{
"name": "IEEE VIS Conference Page",
"url": "https://ieeevis.org/year/2025/program/paper_4cf2c4a7-98c7-4d49-a5c2-410ecde134cb.html",
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] |
Vis | 2,025 | Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models | 10.1109/TVCG.2025.3634245 | Systems relying on ML have become ubiquitous, but so has biased behavior within them. Research shows that bias significantly affects stakeholders' trust in systems and how they use them. Further, stakeholders of different backgrounds view and trust the same systems differently. Thus, how ML models' behavior is explaine... | true | false | [
"Zhanna Kaufman",
"Madeline Endres",
"Cindy Xiong Bearfield",
"Yuriy Brun"
] | [] | [
"P",
"O"
] | [
{
"name": "Paper Preprint",
"url": "https://arxiv.org/abs/2508.00140",
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{
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"url": "https://osf.io/c87xm/?view_only=31dfc1f2a7624f5cb20b0f07d3730df3",
"icon": "other"
},
{
"name": "IEEE VIS Conference Page",
"url": "https://iee... |
EuroVis | 2,025 | A Process-Oriented Approach to Analyze Analysts' Use of Visualizations: Revealing Insights into the What, When, and How | 10.1111/cgf.70104 | Despite Visual Analytics (VA) tools being essential for supporting data analysis, evaluating their use in real-world analytical processes remains challenging. Traditional evaluation methods often overlook the nuanced and evolving nature of analysis processes and are not always suitable for investigating scenarios in wh... | false | false | [
"Lisa Zimmermann 0002",
"Francesca Zerbato",
"Katerina Vrotsou",
"Barbara Weber"
] | [] | [] | [] |
EuroVis | 2,025 | Accessible Text Descriptions for UpSet Plots | 10.1111/cgf.70102 | Data visualizations are typically not accessible to blind and low-vision (BLV) users. Automatically generating text descriptions offers an enticing mechanism for democratizing access to the information held in complex scientific charts, yet appropriate procedures for generating those texts remain elusive. Pursuing this... | false | false | [
"Andrew M. McNutt",
"Maggie K. McCracken",
"Ishrat Jahan Eliza 0001",
"Daniel Hajas",
"Jake Wagoner",
"Nate Lanza",
"Jack Wilburn",
"Sarah H. Creem-Regehr",
"Alexander Lex"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2503.17517v1",
"icon": "paper"
}
] |
EuroVis | 2,025 | An Interactive Visual Enhancement for Prompted Programmatic Weak Supervision in Text Classification | 10.1111/cgf.70131 | Programmatic Weak Supervision (PWS) has emerged as a powerful technique for text classification. By aggregating weak labels provided by manually written label functions, it allows training models on large-scale unlabeled data without the need for costly manual annotations. As an improvement, Prompted PWS incorporates p... | false | false | [
"Yiming Lin",
"S. Wei",
"Huijie Zhang",
"Dezhan Qu",
"Jinghan Bai"
] | [] | [] | [] |
EuroVis | 2,025 | Benchmarking Visual Language Models on Standardized Visualization Literacy Tests | 10.1111/cgf.70137 | The increasing integration of Visual Language Models (VLMs) into visualization systems demands a comprehensive understanding of their visual interpretation capabilities and constraints. While existing research has examined individual models, systematic comparisons of VLMs' visualization literacy remain unexplored. We b... | false | false | [
"Saugat Pandey",
"Alvitta Ottley"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2503.16632v1",
"icon": "paper"
}
] |
EuroVis | 2,025 | Beyond Entertainment: An Investigation of Externalization Design in Video Games | 10.1111/cgf.70124 | This article investigates when and how video games enable players to create externalizations in a diverse sample of 388 video games. We follow a grounded-theory approach, extracting externalizations from video games to explore design ideas and relate them to practices in visualization. Video games often engage players ... | false | false | [
"Franziska Becker",
"Rene P. Warnking",
"Hendrik Brückler",
"Tanja Blascheck"
] | [] | [] | [] |
EuroVis | 2,025 | Coupling Guidance and Progressiveness in Visual Analytics | 10.1111/cgf.70115 | Data size and complexity in Visual Analytics (VA)pose significant challenges for VA systems andVA users. Two recent developments address these challenges: progressive VA (PVA) and guidance for VA (GVA). Both share the goal of supporting the analysis flow. PVA primarily considers the system perspective and incrementally... | false | false | [
"Ignacio Pérez-Messina",
"Marco Angelini",
"Davide Ceneda",
"Christian Tominski",
"Silvia Miksch"
] | [] | [] | [] |
EuroVis | 2,025 | DashGuide: Authoring Interactive Dashboard Tours for Guiding Dashboard Users | 10.1111/cgf.70107 | Dashboard guidance helps dashboard users better navigate interactive features, understand the underlying data, and assess insights they can potentially extract from dashboards. However, authoring dashboard guidance is a time consuming task, and embedding guidance into dashboards for effective delivery is difficult to r... | false | false | [
"Md. Naimul Hoque",
"Nicole Sultanum"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2504.17150v1",
"icon": "paper"
}
] |
EuroVis | 2,025 | DataWeaver: Authoring Data-Driven Narratives through the Integrated Composition of Visualization and Text | 10.1111/cgf.70098 | Data-driven storytelling has gained prominence in journalism and other data reporting fields. However, the process of creating these stories remains challenging, often requiring the integration of effective visualizations with compelling narratives to form a cohesive, interactive presentation. To help streamline this p... | false | false | [
"Yu Fu 0010",
"Dennis Bromley",
"Vidya Setlur"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2503.22946v1",
"icon": "paper"
}
] |
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