Introduces the first algorithmic framework for responsive thematic mapping via layout guides that encode map element sizes and relative positions, demonstrated on rectangular and Demers cartograms.
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As-Rigid-As- Possible Deformation of Gaussian Radiance Fields
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Vega-Video integrates video into Vega via synchronization, annotation, and transformation classes, using split signals and VOD repurposing for responsive mixed-modality visualizations.
Proteus uses a multi-level design space and LLM multi-agents to automatically convert desktop visualizations into equivalent mobile versions that preserve readability.
A survey of 55 agentic VA systems proposes a co-evolutionary framework defining four agent roles (PLANNER, CREATOR, REVIEWER, CONTEXT MANAGER) mapped to visual analytics pipeline stages along with design guidelines.
Literate execution treats documentation and visualizations as dynamic, computable parts of program execution via provenance tracking, inverting traditional literate programming to make programs more explorable.
Raiven mediates LLM visualization authoring via a formally defined DSL that unifies scientific and information visualization, producing deterministic, verifiable code from metadata-only inputs.
Presents a new retrieval system that enriches user queries with an intent taxonomy to improve matching of natural language descriptions to infographic designs and support authoring.
GS-Surrogate creates a canonical Gaussian field that is sequentially deformed by simulation parameters to enable real-time, controllable 3D exploration of ensemble data while separating simulation variations from visualization adjustments.
SwEYEpinch uses gaze swiping plus a held pinch gesture to reach 64.7 WPM in XR text entry after practice, outperforming sequential key selection and prior gaze-swipe methods in user studies.
SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
CAPE produces spatially grounded natural-language explanations for document layouts using pattern detection and multi-level context, rated more helpful than content-only baselines in a user study.
The paper introduces a channels-and-substrates framework grounded in distributed cognition to model interaction for ubiquitous and cross-device analytics.
MS-COOT uses co-optimal transport on hypergraph representations of Morse-Smale complexes to enable explicit region-to-region matching for identifying structural events such as splitting and merging.
Agentic iteration improves perceived quality of generated multiview genomics visualizations over direct LLM generation, but adding more specialist agents or a reviewer yields no further gains across 159 test cases.
AI peer review systems are vulnerable to prompt injections, prestige biases, assertion strength effects, and contextual poisoning, as demonstrated by a new attack taxonomy and causal experiments on real conference submissions.
GFlowState introduces interactive visualizations such as trajectory node-link diagrams and transition heatmaps to make GFlowNet training dynamics observable for debugging and quality assessment.
EdgeFormer converts point cloud edge detection into local-patch point classification with a transformer and reports competitive results against six baselines.
A web system uses a Curve Segment Neighborhood Graph to support interactive community detection, force-directed layouts, and adjacency matrix views for exploring hundreds of thousands of streamlines in real time.
NeuVolEx extracts robust spatial features from INR training via a structural encoder and multi-task scheme to enable accurate ROI classification with limited supervision and unsupervised viewpoint clustering in volume exploration.
Glide-in-Place uses per-foot pressure sensing for continuous differential-drive VR locomotion, outperforming seated walking-in-place on speed and fatigue while matching joystick performance on simulator sickness in a 16-person study.
LandSAR integrates real-time landslide simulations, visualizations, and 3D-printed tangible terrain models to improve situational awareness and engagement for analysts.
Purrsuasion is a negotiation game that surfaces satisficing and intent-attribution difficulties when students practice ethical data disclosure under real constraints.
A spectral framework for nonlinear DR uses spectral bases plus cross-entropy optimization to create multi-scale embeddings that preserve both global manifold geometry and local neighborhoods while supporting graph-frequency analysis.
Racial mismatch between applicant and AI avatar increased perceived ethnic bias, while sharing only one identity trait lowered fairness ratings compared to full or no match.
citing papers explorer
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Automated Responsive Thematic Mapping with Layout Guides
Introduces the first algorithmic framework for responsive thematic mapping via layout guides that encode map element sizes and relative positions, demonstrated on rectangular and Demers cartograms.
-
Vega-Video: Integrating Video into the Grammar of Graphics
Vega-Video integrates video into Vega via synchronization, annotation, and transformation classes, using split signals and VOD repurposing for responsive mixed-modality visualizations.
-
Proteus: Shapeshifting Desktop Visualizations for Mobile via Multi-level Intelligent Adaptation
Proteus uses a multi-level design space and LLM multi-agents to automatically convert desktop visualizations into equivalent mobile versions that preserve readability.
-
Exploring Agentic Visual Analytics: A Co-Evolutionary Framework of Roles and Workflows
A survey of 55 agentic VA systems proposes a co-evolutionary framework defining four agent roles (PLANNER, CREATOR, REVIEWER, CONTEXT MANAGER) mapped to visual analytics pipeline stages along with design guidelines.
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Literate Execution
Literate execution treats documentation and visualizations as dynamic, computable parts of program execution via provenance tracking, inverting traditional literate programming to make programs more explorable.
-
Raiven: LLM-Based Visualization Authoring via Domain-Specific Language Mediation
Raiven mediates LLM visualization authoring via a formally defined DSL that unifies scientific and information visualization, producing deterministic, verifiable code from metadata-only inputs.
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Show Me the Infographic I Imagine: Intent-Aware Infographic Retrieval for Authoring Support
Presents a new retrieval system that enriches user queries with an intent taxonomy to improve matching of natural language descriptions to infographic designs and support authoring.
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GS-Surrogate: Deformable Gaussian Splatting for Parameter Space Exploration of Ensemble Simulations
GS-Surrogate creates a canonical Gaussian field that is sequentially deformed by simulation parameters to enable real-time, controllable 3D exploration of ensemble data while separating simulation variations from visualization adjustments.
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SwEYEpinch: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand Tracking
SwEYEpinch uses gaze swiping plus a held pinch gesture to reach 64.7 WPM in XR text entry after practice, outperforming sequential key selection and prior gaze-swipe methods in user studies.
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SASAV: Self-Directed Agent for Scientific Analysis and Visualization
SASAV introduces the first fully autonomous multi-agent system for scientific data analysis and visualization that operates without external prompting or human-in-the-loop feedback.
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Context-Aware Explanations for Spatialized Document Layouts
CAPE produces spatially grounded natural-language explanations for document layouts using pattern detection and multi-level context, rated more helpful than content-only baselines in a user study.
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Channels and Substrates: Distributed Cognition as an Interaction Model for Ubiquitous Analytics
The paper introduces a channels-and-substrates framework grounded in distributed cognition to model interaction for ubiquitous and cross-device analytics.
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MS-COOT: Comparing Morse-Smale Complexes with Co-Optimal Transport
MS-COOT uses co-optimal transport on hypergraph representations of Morse-Smale complexes to enable explicit region-to-region matching for identifying structural events such as splitting and merging.
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Agentic Authoring of Interactive Multiview Visualizations in Genomics
Agentic iteration improves perceived quality of generated multiview genomics visualizations over direct LLM generation, but adding more specialist agents or a reviewer yields no further gains across 159 test cases.
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When AI reviews science: Can we trust the referee?
AI peer review systems are vulnerable to prompt injections, prestige biases, assertion strength effects, and contextual poisoning, as demonstrated by a new attack taxonomy and causal experiments on real conference submissions.
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GFlowState: Visualizing the Training of Generative Flow Networks Beyond the Reward
GFlowState introduces interactive visualizations such as trajectory node-link diagrams and transition heatmaps to make GFlowNet training dynamics observable for debugging and quality assessment.
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EdgeFormer: local patch-based edge detection transformer on point clouds
EdgeFormer converts point cloud edge detection into local-patch point classification with a transformer and reports competitive results against six baselines.
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Interactive Exploration of Large-scale Streamlines of Vector Fields via a Curve Segment Neighborhood Graph
A web system uses a Curve Segment Neighborhood Graph to support interactive community detection, force-directed layouts, and adjacency matrix views for exploring hundreds of thousands of streamlines in real time.
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NeuVolEx: Implicit Neural Features for Volume Exploration
NeuVolEx extracts robust spatial features from INR training via a structural encoder and multi-task scheme to enable accurate ROI classification with limited supervision and unsupervised viewpoint clustering in volume exploration.
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Glide-in-Place: Foot-Steered Differential-Drive for Hands-Free VR Locomotion
Glide-in-Place uses per-foot pressure sensing for continuous differential-drive VR locomotion, outperforming seated walking-in-place on speed and fatigue while matching joystick performance on simulator sickness in a 16-person study.
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LandSAR: Visceralizing Landslide Data for Enhanced Situational Awareness in Immersive Analytics
LandSAR integrates real-time landslide simulations, visualizations, and 3D-printed tangible terrain models to improve situational awareness and engagement for analysts.
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Investigating Ethical Data Communication with Purrsuasion: An Educational Game about Negotiated Data Disclosure
Purrsuasion is a negotiation game that surfaces satisficing and intent-attribution difficulties when students practice ethical data disclosure under real constraints.
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A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction
A spectral framework for nonlinear DR uses spectral bases plus cross-entropy optimization to create multi-scale embeddings that preserve both global manifold geometry and local neighborhoods while supporting graph-frequency analysis.
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Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring
Racial mismatch between applicant and AI avatar increased perceived ethnic bias, while sharing only one identity trait lowered fairness ratings compared to full or no match.
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DataSway: Vivifying Metaphoric Visualization with Animation Clip Generation and Coordination
DataSway supports creation of semantically aligned animations for metaphoric data visualizations by generating clips via VLMs and coordinating timelines based on entity order, attributes, layout, or randomness.
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Exploring MLLMs Perception of Network Visualization Principles
MLLMs given the same instructions as human participants achieve expert-level performance on perceiving stress in network visualizations and rely on similar visual proxies.
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Visual Analysis of Multi-outcome Causal Graphs
Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
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A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space
A taxonomy and design space for chart annotations synthesized from qualitative coding of 1,800 static real-world examples.
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Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
A scalable framework combining streaming graphs, topology computation, and topology-aware datacubes enables interactive analysis of high-dimensional functions in scientific ML applications.
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A Multi-Attribute Latent Space for Visual Analysis of Watches
Presents a multi-attribute embedding model and interactive interface for visual exploration of wristwatch collections by extending UMAP with attribute-specific graphs and a class-aware layout term.
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The Choreography of Augmented Reality Timelines: Studying the Relative Position, Chronology, & Situatedness of Event Sequences
Formative study (N=12) of physical event arrangement yields choreographic design approach and AR prototype for situated timelines.
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DiffUNet^2: Bidirectional Prediction, Probabilistic Generation and Collaborative Visual Discovery for Scientific Data
DiffUNet^2 is a bidirectional conditional diffusion model integrated with visual tools for probabilistic exploration of scientific time series across five evaluated datasets.
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ErgoGlide: A Wearable Trackball Device for Ergonomic Text Entry in Virtual Reality
ErgoGlide is a finger-worn trackball paired with a hive-like virtual keyboard that improves typing accuracy, ergonomics, and usability in VR per three user studies, with speed gains after training.
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Who Gets to Interpret the Workout? User Tensions with AI-Generated Fitness Feedback
Qualitative analysis of Reddit discussions reveals four tensions users face with AI-generated fitness feedback, showing resistance to AI that limits personal interpretations of lived experiences.
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Designing a Visualization Atlas: Lessons & Reflections from The UK Co-Benefits Atlas for Climate Mitigation
The UK Co-Benefits Atlas design process yields a conceptual framework of five driving forces—data, people, stories, context, and the atlas itself—that shape visualization atlas creation at different stages.
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Autark: A Serverless Toolkit for Prototyping Urban Visual Analytics Systems
Autark is a serverless toolkit that enables rapid prototyping of urban visual analytics systems via domain-aware abstractions and supports more reliable LLM-assisted coding.
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Preserving Clusters in Error-Bounded Lossy Compression of Particle Data
A clustering-aware correction algorithm using spatial partitioning and projected gradient descent preserves single-linkage clusters in lossy-compressed particle data while keeping competitive compression ratios.
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Enhance Comprehension of Over-the-Counter Drug Instructions for the General Public and Medical Professionals through Visualization Design
Tailored visualizations for OTC drug instructions improve response time and usability over text-only formats for both lay users and professionals, supported by a new taxonomy and generalizable design workflow.
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SuperProvenanceWidgets: Tracking and Visualizing Analytic Provenance Across UI Control Elements
SuperProvenanceWidgets adds cross-control provenance tracking to visualize how users interact with multiple UI elements over time, demonstrated through usage scenarios and a developer usability assessment.
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YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
YAC is a prototype system that uses a tool-calling multi-agent architecture to translate natural language into linked interactive visualizations and filters for biomedical data, with user-adjustable structured output and a domain-expert user study.
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EvidenceLens: A Claim-Evidence Matrix for Auditing Financial Question Answering
EvidenceLens is a visual analytics system that decomposes LLM financial answers into atomic claims and visualizes their multimodal evidence alignment, support gaps, and contradictions through a claim-evidence matrix and review-priority ranking.
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A Multiplexing Design Space: Theory, Method, and Application
Proposes a pre-design plus three-step method for visual multiplexing of multiple 2D scalar fields, grounded in domain analysis and expert co-design, to identify default designs and controllable variations for ML-PDE model analysis.
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AI-based experts' knowledge visualization of cultural heritage: A case study of Terracotta Warriors
Researchers built a Terracotta Warriors dataset and used AI to analyze and visualize the group attributes collectively.
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Visualization Retrieval for Data Literacy: Position Paper
Visualization retrieval systems can transform static collections of visualizations into dynamic, inquiry-based environments that support design exploration, data consumption, and resource management for data literacy education.
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Towards Measuring Interactive Visualization Abilities: Connecting With Existing Literacies and Assessments
The paper proposes and compares approaches for assessing interactive visualization abilities by linking them to existing literacy concepts and assessments.
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Characterizing Creativity in Data Visualization: Reflections and Future Directions
A systematic review and interview study characterize creativity in visualization design, finding that design processes are undervalued compared to final artifacts with ideation as a universal bottleneck.
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Illuminating English Letters Using a Flying Light Speck
A Flying Light Speck illuminates English letters with 42-56 mm error; human detection duration depends significantly on presentation order.
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A Multi-Technique Approach for Improving Summary Polar Diagrams
Combining overview+detail, aggregation, filtering, linking, and small multiples makes summary polar diagrams clearer and more usable for discovering data relationships.
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Optimizing Visual Analytics Workflows: From Theory to Practice
Action research case studies assess the practicality of an information-theoretic VA workflow optimization methodology, identify obstacles, and propose a deployment roadmap.
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