Datasets:

DevLan
/

vispubs

Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
EuroVis	2,026	A Scoping Review of Mixed Initiative Visual Analytics in the Automation Renaissance	10.1111/cgf.70434	Artificial agents are increasingly integrated into data analysis workflows, carrying out tasks that were primarily done by humans. Our research explores how the introduction of automation recalibrates the dynamic between humans and automating technology. To explore this question, we conducted a scoping review encompass...	false	true	[ "Shayan Monadjemi", "Yuhan Guo", "Kai Xu 0003", "Alex Endert", "Anamaria Crisan" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2509.19152v2", "icon": "paper" } ]
EuroVis	2,026	A Simple Grid-Maps Pipeline: Restructured, Accelerated and Upgraded	10.1111/cgf.70467	Grid maps – spatially arranged small multiples – are a powerful tool to show complex geospatial data. Meulemans et al. (2020) introduced a pipeline for computing high-quality grid maps that are shaped roughly according to their containing geographic outlines. We present a restructured pipeline, along with various effic...	false	true	[ "Wouter Meulemans" ]	[]	[]	[]
EuroVis	2,026	AI4VIS EthiCards: A Card-Based Approach to Exploring Ethics in AI for Data Visualization Applications	10.1111/cgf.70444	AI4VIS EthiCards are a card-based approach designed to facilitate ethical exploration in the growing research of artificial intelligence (AI) for visualization (AI4VIS). The continuously increasing integration of AI and data visualization offers many benefits yet inevitably raises ethical concerns. AI4VIS applications,...	false	true	[ "Zezhong Wang 0001", "Shan Hao", "Sheelagh Carpendale" ]	[]	[]	[]
EuroVis	2,026	Anchor Flow Maps: Efficient Sampling and Approximation of the Entire Flow Map	10.1111/cgf.70474	Flow maps are a fundamental concept for the visualization and analysis of time-dependent flows. A common approach is to apply sampling and reconstruction – which comes with a number of problems: flow maps are high-dimensional functions with locally large gradients which makes approximations very challenging. In general...	false	true	[ "Daniel Stelter", "Thomas Wilde", "Christian Rössl", "Holger Theisel" ]	[ "BP" ]	[]	[]
EuroVis	2,026	ARCOL: Aspect Ratio Constrained Orthogonal Layout	10.1111/cgf.70437	Orthogonal graph layout algorithms aim to produce clear, compact, and readable network diagrams by arranging nodes and edges along horizontal and vertical lines, while minimizing bends and crossings. Most existing orthogonal layout methods focus primarily on quality criteria such as area usage, total edge length, and b...	false	true	[ "Zainab Alsuwaykit", "Yousef Rajeh", "Alexandre Kouyoumdjian", "Steve Kieffer", "Dominik Engel", "Sara Di Bartolomeo", "Martin Nöllenburg", "Ivan Viola" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2603.29618v1", "icon": "paper" } ]
EuroVis	2,026	Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network Visualization	10.1111/cgf.70456	Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results. A data-driven alternative is to learn from human preferences, where label...	false	true	[ "Xuefeng Li", "Dieter W. Fellner", "Xiaoqi Wang", "Han-Wei Shen", "Yifan Hu 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.03417v1", "icon": "paper" } ]
EuroVis	2,026	BloomTree: Dynamic Coloring Techniques for Exploring Deep and Wide Tree Structures	10.1111/cgf.70462	This study introduces BloomTree, an interactive Sunburst system for visualizing massive hierarchical datasets, such as the Tree of Life. Traditional static color schemes fail to maintain perceptual distinguishability when applied to millions of nodes, and managing the full tree in memory is computationally costly. Bloo...	false	true	[ "A. Tanaka", "Ken Wakita" ]	[]	[]	[]
EuroVis	2,026	Can LLMs Simulate Target Users in Visualization Case Studies?	10.1111/cgf.70446	Case studies are central to evaluating visualization research as they provide evidence for how the developed approaches support real users, real analytical work, and real data. Conducting such studies can be challenging, since target users with relevant domain expertise are often scarce or even entirely unavailable, wh...	false	true	[ "Jena Satkunarajan", "Moataz Abdelaal", "Steffen Koch 0001", "Kuno Kurzhals", "Daniel Weiskopf" ]	[]	[]	[]
EuroVis	2,026	Class Angular Distortion Index for Dimensionality Reduction	10.1111/cgf.70465	Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high-level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over-emphasize them. Yet, even when clusters appea...	false	true	[ "Kaviru Gunaratne", "Stephen G. Kobourov", "Jacob Miller 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2605.00637v1", "icon": "paper" } ]
EuroVis	2,026	CLUSTERIX: A Hybrid Visualization Model for Hierarchically Clustered Networks	10.1111/cgf.70469	We introduce CLUSTERIX, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. CLUSTERIX offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links o...	false	true	[ "Carla Binucci", "Annika Bonerath", "Walter Didimo", "Henry Förster", "Seok‐Hee Hong", "Maria Eleni Pavlidi", "Alessandra Tappini" ]	[]	[]	[]
EuroVis	2,026	Croissant Charts: Modulating the Performance of Normal Distribution Visualizations with Affordances	10.1111/cgf.70463	Affordances, originating in psychology, describe how an object’s design influences the physical and cognitive actions users may take. Past work applied affordance theory to visualization to explain how design decisions can impact the cognitive actions of visualization readers. In this work, we demonstrate that affordan...	false	true	[ "Racquel Fygenson", "Enrico Bertini", "Lace M. K. Padilla" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.04432v1", "icon": "paper" } ]
EuroVis	2,026	Designing Annotations in Visualization: Considerations from Visualization Practitioners and Educators	10.1111/cgf.70435	Annotation is a central mechanism in visualization design that enables people to communicate key insights. Prior research has provided essential accounts of the visual forms annotations take, but less attention has been paid to the decisions behind them. This paper examines how annotations are designed in practice and ...	false	true	[ "Md Dilshadur Rahman", "Devin Lange", "Ghulam Jilani Quadri", "Paul Rosen 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.07691v1", "icon": "paper" } ]
EuroVis	2,026	Do Graph Drawing Aesthetics Matter for AI? A Replication of Foundational Studies in Graph Readability	10.1111/cgf.70436	Graph drawing aesthetics have traditionally been optimized for human readers, leading to well-established principles such as reducing edge crossings, enhancing symmetry, and minimizing bends. These criteria shape layout algorithms and define what “readability” means in network visualization. Today, however, visualizati...	false	true	[ "Sara Di Bartolomeo", "Johann Sebastian Schicho", "Aurora Traversini", "Simon Dominik Fink", "Walter Didimo", "Fabrizio Montecchiani" ]	[]	[]	[]
EuroVis	2,026	Does Visual Working Memory Decline Explain Age Differences in Visualization Performance?	10.1111/cgf.70451	Visualization studies that examine age effects on task performance often attribute the performance gap between young adults (YA) and people in late adulthood (PLA) to declines in cognitive abilities, especially reduced visual working memory (VWM) capacity. However, the tasks and visualizations used in prior work typica...	false	true	[ "Yiran Li 0005", "Shan Shao", "Peter Baudains", "Andrew Isaac Meso", "Alfie Abdul-Rahman", "Rita Borgo" ]	[]	[]	[]
EuroVis	2,026	Engagement vs. Understanding: Comparing Immersive Virtual Reality and Desktop Displays for Climate Data Visualization	10.1111/cgf.70432	Immersive virtual reality (IVR) is increasingly used for scientific data visualization, with the expectation that greater immersion will enhance both engagement and understanding. However, prior research suggests a potential trade-off: IVR can heighten affective responses while impairing cognitive learning due to incre...	false	true	[ "Anjana Arunkumar", "J. Liu", "Christopher Bryan" ]	[ "HM" ]	[]	[]
EuroVis	2,026	Evaluating Encodings for Bivariate Edges in Adjacency Matrices	10.1111/cgf.70475	We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real-world networks, edges represent not a single value but a set of measurements. While adjacency matrices preserve structural clarity, their compact cells limit the simulta...	false	true	[ "Jorge Acosta-Hernandez", "Alexander Lex", "Tingying He" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.14791v1", "icon": "paper" } ]
EuroVis	2,026	Evaluating the Perceptual Space of Surface Noise for Visualization	10.1111/cgf.70454	Surface noise provides a geometric alternative to color for encoding scalar information on surfaces, yet its perceptual characteristics remain insufficiently understood. We present a systematic investigation of how variations in noise amplitude and frequency are perceived when applied to 3D surfaces. Across three onlin...	false	true	[ "Anna Sterzik", "Niklas Merk", "Kai Lawonn" ]	[]	[]	[]
EuroVis	2,026	Geometry-Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications	10.1111/cgf.70449	Scalar fields derived from 3D X-ray CT scans of samples undergoing ex situ processes, such as thermal aging, chemical etching, or mechanical stress, pose unique challenges for characterizing similarities and differences across acquisitions. Typically, a sample A (source) is imaged, removed, and subjected to experimenta...	false	true	[ "Aniketh Venkat", "Attila Gyulassy", "Peer‐Timo Bremer", "Valerio Pascucci" ]	[]	[]	[]
EuroVis	2,026	GEVIS: A Workflow-Driven Visual Analytics Approach to Differential Gene Expression Analysis	10.1111/cgf.70457	Differential gene expression (DGE) analysis is one of the most widely used techniques for investigating RNA-seq data and supports numerous medical and biological applications, including biomarker identification for diagnosis and prognosis, as well as the evaluation of medical treatments. However, performing DGE analysi...	false	true	[ "Graziano Blasilli", "Francesco Fortunato", "Cristian Santaroni", "GIULIA FISCON", "Giuseppe Santucci" ]	[]	[]	[]
EuroVis	2,026	GraphHeatY: Graph-Centered Visual Analysis for Building Design	10.1111/cgf.70480	We introduce GraphHeatY, a Visual Analytics approach for exploring and comparing heat transfer behavior in buildings. A building can be conceptualized as a connected graph, where nodes represent rooms or external areas, and edges represent the building elements that connect them. Heat flows along these connections. We ...	false	true	[ "Andreas Walch", "Attila Szabó", "Milena Vuckovic", "Eduard Groeller", "Johanna Schmidt" ]	[]	[]	[]
EuroVis	2,026	Guardrail Selection in Line Charts to Contextualize Persuasive Visualizations	10.1111/cgf.70460	Charts used for persuasion can easily veer into being outright misleading when, for instance, cherry-picked data is paired with a deceptive caption, as is commonly encountered on social media. The rise of interactive time-series data explorers for hotly debated topics makes such framing easy to produce and spread. Post...	false	true	[ "Khandaker Abrar Nadib", "Marina Kogan", "Alexander Lex", "Maxim Lisnic" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2605.19017v1", "icon": "paper" } ]
EuroVis	2,026	HamCat: Ego-Centric Relationship Exploration for Multidimensional Categorical Data	10.1111/cgf.70440	We introduce HamCat, a novel visualization method for exploring and analyzing multidimensional categorical survey data. Typical visualization approaches for multidimensional categorical data do not support simultaneous analysis of attributes and items, nor do they allow for in-depth similarity analysis of an entire dat...	false	true	[ "Hanna Balaka", "Helwig Hauser", "Laura A. Garrison" ]	[]	[]	[]
EuroVis	2,026	How Do LLMs See Charts? A Comparative Study on High-Level Visualization Comprehension in Humans and LLMs	10.1111/cgf.70450	Designers often create visualizations to achieve specific high-level analytical or communication goals. These goals require people to extract complex and interconnected data patterns. Prior perceptual studies of visualization effectiveness have focused on low-level tasks, such as estimating statistical quantities, and ...	false	true	[ "Hyotaek Jeon", "Hyunwook Lee", "Minjeong Shin", "Tapendra Pandey", "Joohee Kim", "Shinwook Seon", "Daeun Jeong", "Sungahn Ko", "Ghulam Jilani Quadri" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.08959", "icon": "paper" } ]
EuroVis	2,026	How Historians Use Visualization: A Corpus-Driven Mixed-Methods Study	10.1111/cgf.70468	Visualization in historical research is shifting from isolated attempts to systematic practices. However, data-driven evidence about how historians actually use visualization remains scarce. We present a corpus-driven, mixed-methods study that combines analysis of images from 4,142 research articles across history and ...	false	true	[ "Xinyue Chen", "Y. Zhang", "Weili Zheng", "Chiteng Ma", "Xiaoru Yuan" ]	[ "HM" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2605.01456", "icon": "paper" } ]
EuroVis	2,026	INFICOND: Investigating Interactive No-code Fine-tuning with Concept-based Knowledge Distillation	10.1111/cgf.70472	Knowledge distillation is a widely used technique whereby knowledge from large pre-trained models is transferred into smaller student models. However, this process is non-trivial and traditionally requires technical and theoretical expertise in AI/ML. We investigate a visualization-driven strategy for making this proce...	false	true	[ "Jinbin Huang", "Wenbin He", "Liang Gou", "Liu Ren", "Christopher Bryan" ]	[]	[]	[]
EuroVis	2,026	Input Visualizations to Track Health Data by Older Adults with Multiple Chronic Conditions	10.1111/cgf.70479	Older adults living with multiple chronic conditions (MCC) can considerably benefit from collecting and reflecting on their health data. Many older adults collect their health data using various approaches, such as digital tools or handwritten notebooks. However, in these approaches, the act of collecting data does not...	false	true	[ "Shri Harini Ramesh", "Foroozan Daneshzand", "Matteo Sotelo", "Mahsa Sinaei", "Fateme Rajabiyazdi" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.18741v1", "icon": "paper" } ]
EuroVis	2,026	Investigating Performance and Practices with Univariate Distribution Charts	10.1111/cgf.70482	A range of charts with different strengths and weaknesses exists to support the visual analysis of univariate distributions, with a limited understanding of which charts best support which tasks and users, and how practitioners use charts. We categorize the available charts for univariate distributions into four groups...	false	true	[ "Laura Lotteraner", "A. Kurtenkova", "Torsten Möller", "Daniel Pahr" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.08378v1", "icon": "paper" } ]
EuroVis	2,026	Multi2-Vis: Guiding Interactive Exploration Across Temporal Scales in Dynamic Graphs	10.1111/cgf.70464	Selecting appropriate temporal intervals for analyzing dynamic graphs is a critical but non-trivial task. Poorly chosen intervals can obscure key structural changes and lead to flawed interpretations, while existing tools often lack effective guidance, forcing users into a cycle of tedious manual adjustments and trial-...	false	true	[ "Jinghan Bai", "Hao Geng", "Huijie Zhang", "Yiming Lin", "Qiushi Xia" ]	[]	[]	[]
EuroVis	2,026	Noisy Graph Patterns via Ordered Matrices	10.1111/cgf.70433	The high-level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard. (2...	false	true	[ "Jules Wulms", "Wouter Meulemans", "Bettina Speckmann" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2601.11171v2", "icon": "paper" } ]
EuroVis	2,026	Parallel Vectors Extraction using Bézier Clipping	10.1111/cgf.70478	In this paper, we propose a novel local feature extraction algorithm for the parallel vectors (PV) operator. Our method is based on Bézier clipping, which is a bracketing-based root finding method that is commonly-used in computer-aided geometric design. Compared to Bézier bisection, our clipping method exhibits signif...	false	true	[ "Nico Daßler", "Tobias Günther" ]	[]	[]	[]
EuroVis	2,026	Quantitative Metrics for Edge Bundling of Network Visualizations	10.1111/cgf.70443	Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a se...	false	true	[ "Markus Wallinger", "Jacob Miller 0001", "Andrei Iulian Maftei", "Stephen G. Kobourov" ]	[ "HM" ]	[]	[]
EuroVis	2,026	Reflections on Traceability for Visualization Research	10.1111/cgf.70445	Decades of advocacy for reproducibility and replication have advanced open, transparent practices in the sciences. However, traditional notions of reproducibility fit poorly with design-oriented visualization research, where insights emerge through subjective, situated, and iterative work. So how can we ensure rigor an...	false	true	[ "Jen Rogers", "Derya Akbaba", "James Scott-Brown", "Alexander Lex", "Miriah Meyer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.14417v1", "icon": "paper" } ]
EuroVis	2,026	RETRACE: Interactive Visualizations for Reasoning Traces of Large Reasoning Models	10.1111/cgf.70452	Recent advances in Large Language Models have led to Large Reasoning Models, which produce step-by-step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively dem...	false	true	[ "Ludwig Felder", "Jacob Miller 0001", "Markus Wallinger", "Stephen G. Kobourov", "Chunyang Chen" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2511.11187v1", "icon": "paper" } ]
EuroVis	2,026	Scalable Computation of Topological Abstractions for Scalar Data	10.1111/cgf.70497	Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstraction...	false	true	[ "Michael Will", "Jonas Lukasczyk", "Julien Tierny", "Attila Gyulassy", "Gunther H. Weber", "Hamish A. Carr", "Christoph Garth" ]	[]	[]	[]
EuroVis	2,026	SemiConLens: Visual Analytics for 2D Semiconductor Discovery	10.1111/cgf.70455	The past few years have witnessed vibrant efforts in discovering new two-dimensional (2D) semiconductor materials from both academia and the industry, due to their promising potential in resolving the severe performance deterioration of traditional semiconductors resulting from condensed silicon thickness. However, exi...	false	true	[ "Kavinda Athapaththu", "Shiwei Chen", "Yuan Fang", "Sanchali Mitra", "Yee Sin Ang", "Yong Wang 0021" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2605.04067v1", "icon": "paper" } ]
EuroVis	2,026	Serendipitous Explanations: Interaction-Triggered Comprehension Aids in Visualization	10.1111/cgf.70448	Evidence continues to accrue around the difficulties people have understanding new and complex visualizations, which in turn provides continued incentive to explore additional methods of supporting visualization viewers. Through leveraging viewers’ spontaneous visualization sensemaking activities, we introduce a Serend...	false	true	[ "Maryam Rezaie", "Melanie Tory", "Sheelagh Carpendale" ]	[]	[]	[]
EuroVis	2,026	SlideSAVR: Enabling Live Analysis during Data Presentations via Multimodal Sketching and Voice Input	10.1111/cgf.70459	Interpersonal communication in data science can yield sought-after insights, but presentation environments are often not conducive for live analysis, forcing the process to move offline. Through a formative survey with 16 participants, we identified both technical (e.g., complexity of tools) and psychological (e.g., pr...	false	true	[ "Chang Han", "Md. Mehrab Tanjim", "Shunan Guo", "Christine Dierk", "Katherine E. Isaacs", "Jane Hoffswell" ]	[]	[]	[]
EuroVis	2,026	SPINE: VAE-driven Counterfactuals for Decision Boundary Maps	10.1111/cgf.70481	As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier’s global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimens...	false	true	[ "Imke Bloemen", "Vidya Prasad", "Fernando Paulovich" ]	[]	[]	[]
EuroVis	2,026	Survey on Visualization of Information Diffusion over Networks	10.1111/cgf.70498	Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium" network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision-ma...	false	true	[ "Tom Baumgartl", "Max Sondag", "Velitchko Filipov", "Michaela Tuscher", "Sandhya Rajendran", "Silvia Miksch", "Daniel Archambault", "Alessio Arleo", "Tatiana von Landesberger" ]	[]	[]	[]
EuroVis	2,026	Symetra: Visual Analytics for the Parameter Tuning Process of Symbolic Execution Engines	10.1111/cgf.70461	Symbolic execution engines such as KLEE automatically generate test cases to maximize branch coverage, but their numerous parameters make it difficult to understand the parameters’ impact, leading the user to rely on suboptimal default configurations. While automated tuners have shown promising results, they provide li...	false	true	[ "Donghee Hong", "Minjong Kim", "Sooyoung Cha", "Jaemin Jo" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.05349v1", "icon": "paper" } ]
EuroVis	2,026	TerraTinker: Crafting Playful Geospatial Visualizations	10.1111/cgf.70466	With the onset of digital technologies, conveying information to the young generation is becoming evermore challenging, forcing us to explore alternative methods, such as using video games. A typical area that could benefit from innovation is geography, where we want to convey the relationship between selected geograph...	false	true	[ "Jonáš Rosecký", "Adam J. Stepánek", "Adam Rychlý", "Barbora Kozlíková" ]	[]	[]	[]
EuroVis	2,026	The Story(line) So Far: A Survey on Storyline Visualization	10.1111/cgf.70499	Storyline visualizations model narratives as temporal networks, using x-monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co-occurrence and narrative flow. Storylines represent a visualization approach...	false	true	[ "Sara Di Bartolomeo", "Alexander Dobler", "Velitchko Filipov", "Martin Nöllenburg", "Henry Ehlers" ]	[]	[]	[]
EuroVis	2,026	The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality	10.1111/cgf.70447	Recent advances in AI enable the automatic generation of visualizations directly from textual prompts using agentic workflows. However, visualizations produced via one-shot generative methods often suffer from insufficient quality, typically requiring a human in the loop to refine the outputs. Human evaluation, though ...	false	true	[ "Roxana Bujack", "Li‐Ta Lo", "Ethan Stam", "Ayan Biswas", "David H. Rogers 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2603.16873v1", "icon": "paper" } ]
EuroVis	2,026	Thinking Inside the Box: Considerations for Putting Data Physicalization Workshops in a Box	10.1111/cgf.70453	Visualization researchers utilize workshops both for applied research and to engage different populations with visualization-based activities. While there are many benefits to running visualization workshops, their utility and impact rely on the presence of a researcher who has deep knowledge about visualization theory...	false	true	[ "Derya Akbaba", "C. Svensson", "C. Torelli", "M. Callmeryd", "Miriah Meyer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2606.09835", "icon": "paper" } ]
EuroVis	2,026	Topology-based Visual Analysis of Hydrothermal Plumes	10.1111/cgf.70442	Hydrothermal plumes are turbulent structures of intense heat and mineral smoke that rise and disperse into the deep ocean. Existing models generally characterize these systems as a single axisymmetric plume originating from a point source. However, this assumption breaks down in weakly venting, spatially distributed sy...	false	true	[ "Adhitya Kamakshidasan", "Tushar Jain", "Karen G. Bemis", "Valerio Pascucci" ]	[]	[]	[]
EuroVis	2,026	TT4D: Tensor-Train-based 4D Time-Dependent Volume Rendering	10.1111/cgf.70471	Visualizing large-scale, time-varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven t...	false	true	[ "Clara Hartmann", "Rafael Ballester-Ripoll", "Renato Pajarola" ]	[]	[]	[]
EuroVis	2,026	Tubes or Ribbons? Comparing Texture-space Visualization for Multivariate Line Data	10.1111/cgf.70441	Multivariate line data is critical for analyzing flow fields, agent systems, and dynamic trajectories. Embedding secondary variables along spatial paths using surface-based primitives such as ribbons and circular tubes introduces challenges related to perspective, scale, and distortion. Perceptual trade-offs due to the...	false	true	[ "Benjamin Russig", "Rufat Rzayev", "Raimund Dachselt", "Stefan Gumhold" ]	[]	[]	[]
EuroVis	2,026	Uncertainty-Aware Visual Analysis of Force Networks in 2D Granular Materials	10.1111/cgf.70438	Uncertainty in experimental measurements makes it challenging to determine which features are intrinsic to the phenomenon and which are most stable and reliable. Granular materials, such as sand, form a complex system in which the forces between individual particles influence the material’s macroscopic behavior. Howeve...	false	true	[ "Marina Evers", "Abrar Naseer", "Tejas Gorur Murthy", "Vijay Natarajan", "T. Bin Masood", "Daniel Weiskopf", "Ingrid Hotz" ]	[]	[]	[]
EuroVis	2,026	URBANCLIPATLAS: A Visual Analytics Framework for Event and Scene Retrieval in Urban Videos	10.1111/cgf.70431	Extracting actionable insights from long-duration urban videos is often labor-intensive: analysts must manually sift through raw footage to pinpoint target events or uncover broader behavioral trends. In this work, we present URBANCLIPATLAS, a visual analytics system for exploring long urban videos recorded at street i...	false	true	[ "Joel Perca", "Luis Sante", "Juanpablo Heredia", "João Rulff", "Cláudio T. Silva", "Jorge Poco" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2604.15225", "icon": "paper" } ]
EuroVis	2,026	Visual Cues for Logical Reasoning about Text Enhance Metacognitive Sensitivity	10.1111/cgf.70476	An important part of critical thinking is analyzing the logical structure of inferences made in text, such as checking whether if–then rules appearing in legal regulations or scientific arguments are applied correctly. Metacognitive sensitivity, defined as feeling confident about one’s correct answers and uncertain abo...	false	true	[ "Antonia Schlieder", "Jan Rummel", "Filip Sadlo" ]	[]	[]	[]
EuroVis	2,026	Visual Identification and Comparison of Higher Order Properties in State Transition Sequences	10.1111/cgf.70483	The analysis of state transition sequences is a prevalent research topic in many domains. In this context, we introduce the term higher-order property to describe characteristics of the analyzed data set that span beyond the local neighborhood of a single state. For the analysis of such properties, we elaborate why seq...	false	true	[ "Tobias Mertz", "Steven Lamarr Reynolds-Ringer", "Jörn Kohlhammer" ]	[]	[]	[]
EuroVis	2,026	Visualization Guidelines for the Control Room: An Evaluation of Visual Alert Encoding with Domain Experts	10.1111/cgf.70458	Visualization is routinely used in control rooms to maintain situational awareness of complex sociotechnical systems. While control room design often incorporates human factors engineering to identify the information presented, it is not unusual for control room visual encodings to rely closely on operator experience a...	false	true	[ "Peter Baudains", "Andrew Isaac Meso", "Grazia Todeschini", "Rita Borgo" ]	[]	[]	[]
EuroVis	2,026	Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis	10.1111/cgf.70470	Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification. We demonstrate that studying how segmentation networks behave ...	false	true	[ "Annika Christina Mikliss", "Thomas Schultz 0001" ]	[]	[]	[]
EuroVis	2,026	Volume Data Reconstruction and Uncertainty Quantification in an Implicit Neural Representation via Multi-Task Learning	10.1111/cgf.70473	Implicit neural representations (INRs) have become a common surrogate representation for scientific data due to their continuous representation and flexibility. Since INRs are lossy representations that introduce errors in data reconstruction, it is crucial to convey the uncertainty of the results to scientists to prev...	false	true	[ "Weiyang Liu", "Huijie Zhang", "Zhaohan Lv", "Yiming Lin" ]	[]	[]	[]
EuroVis	2,026	When the Chain Breaks: Interactive Diagnosis of LLM Chain-of-Thought Reasoning Errors	10.1111/cgf.70439	Current Large Language Models (LLMs), especially Large Reasoning Models, can generate Chain-of-Thought (CoT) reasoning traces to illustrate how they produce final outputs, thereby facilitating trust calibration for users. However, these CoT reasoning traces are usually lengthy and tedious, and can contain various issue...	false	true	[ "Shiwei Chen", "Niruthikka Sritharan", "Xiaolin Wen", "Chenxi Zhang", "Xingbo Wang 0001", "Yong Wang 0021" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2603.21286v2", "icon": "paper" } ]
CHI	2,026	"Alone and Adrift in Analytics" - Insights from Long-term Involvements with stroke Clinicians when Using Care Quality Monitoring Systems	10.1145/3772318.3790759	Care quality improvement systems (CQIS) allow hospitals to monitor and improve their care by analysing performance data. However, many CQIS fail at helping clinicians improve as they see decreased use and stagnating care quality. In this paper, we investigate the use of one CQIS through ten qualitative activities carri...	false	false	[ "Hamzah Ziadeh", "Mathias Sand Kristensen", "Lina Palaiodimou", "Michal A. Karlinski", "Terry Quinn", "Robert Mikulík", "Hendrik Knoche" ]	[]	[]	[]
CHI	2,026	"Hey Dashboard!": Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding using Large Language Models	10.1145/3772318.3791766	Visualization dashboards are regularly used for data exploration and analysis, but their complex interactions and interlinked views often require time-consuming onboarding sessions from dashboard authors. Preparing these onboarding materials is labor-intensive and requires manual updates when dashboards change. Recent ...	false	false	[ "Vaishali Dhanoa", "Gabriela Molina León", "Eve E. Hoggan", "Eduard Gröller", "Marc Streit", "Niklas Elmqvist" ]	[]	[]	[]
CHI	2,026	A Critical Reflection on the Values and Assumptions in Data Visualization	10.1145/3772318.3791501	Visualization has matured into an established research field, producing widely adopted tools, design frameworks, and empirical foundations. As the field has grown, ideas from outside computer science have increasingly entered visualization discourse, questioning the fundamental values and assumptions on which visualiza...	false	false	[ "Shehryar Saharan", "Ibrahim Al Hazwani", "Miriah Meyer", "Laura A. Garrison" ]	[]	[]	[]
CHI	2,026	A Multiliteracy Model for Interactive Visualization Literacy: Definitions, Literacies, and Steps for Future Research	10.1145/3772318.3793423	This paper presents a theoretical model for interactive visualization literacy to describe how people use interactive data visualizations and systems. Literacies have become an important concept in describing modern life skills, with visualization literacy generally referring to the use and interpretation of data visua...	false	false	[ "Gabriela Molina León", "Benjamin Bach", "Matheus Valentim", "Niklas Elmqvist" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2602.09631v1", "icon": "paper" } ]
CHI	2,026	A Paradigm for Creative Ownership	10.1145/3772318.3791316	As generative AI tools become embedded in creative practice, questions of ownership in co-creative contexts are pressing. Yet studies of human-AI collaboration often invoke "ownership" without definition: sometimes conflating it with other concepts, and other times leaving interpretation to participants. This inconsist...	false	false	[ "Tejaswi Polimetla", "Katy Ilonka Gero", "Elena L. Glassman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2505.15971v2", "icon": "paper" } ]
CHI	2,026	A Scoping Review and Guidelines on Privacy Policy's Visualization from an HCI Perspective	10.1145/3772318.3790320	Privacy Policies are a cornerstone of informed consent, yet a persistent gap exists between their legal intent and practical efficacy. Despite decades of research proposing various visualizations, user comprehension remains low, and designs rarely see widespread adoption. To understand this landscape and chart a path f...	false	false	[ "Shuning Zhang", "Eve He", "Sixing Tao", "Yuting Yang", "Ying Ma", "Ailei Wang", "Xin Yi 0001", "Hewu Li" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2601.17368v1", "icon": "paper" } ]
CHI	2,026	A Scoping Survey on Augmented Display Systems	10.1145/3772318.3790680	Augmented displays (ADs), where AR extends the workspace of a physical display, are gaining momentum across productivity, visual analytics, and collaborative scenarios; yet, the field lacks a unified conceptual foundation. We present the first scoping survey on ADs, synthesizing 62 papers (2010-2024), including one ear...	false	false	[ "Muhammad Raza", "Vachiraporn Ketsoi", "Derek Reilly" ]	[]	[]	[]
CHI	2,026	AI-generated AR Reassembly Guidance from Disassembly Videos to Scaffold Everyday Repair	10.1145/3772318.3790494	Repair is a valuable yet challenging activity, especially when product manuals are missing or outdated. Augmented Reality (AR) has been widely explored for repair tasks, but most systems rely on CAD models or pre-constructed assets, which escalate authoring costs and constrain scalability. We introduce RePairAR, a syst...	false	false	[ "Wenjing Deng", "Zhihao Yao 0004", "Xinhui Kang", "Qirui Sun", "Xintong Wu", "Sisi He", "Chenzhuo Xiang", "Haipeng Mi" ]	[]	[]	[]
CHI	2,026	AIDED: Augmenting Interior Design with Human Experience Data for Designer-AI Co-Design	10.1145/3772318.3791378	Interior design often struggles to capture the subtleties of client experiences, leaving gaps between what clients feel and what designers can act upon. We present AIDED, a designer–AI co-design workflow that integrates multimodal client data into generative AI (GAI) design processes. In a within-subjects study with tw...	false	false	[ "Yang Chen Lin", "Chen-Ying Chien", "Kai-Hsin Hou", "Hung-Yu Chen", "Po-Chih Kuo" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2602.10054v1", "icon": "paper" } ]
CHI	2,026	Anu.js: Accelerating Web-based Immersive Analytics	10.1145/3772318.3791590	We present Anu.js, a toolkit for web-based immersive analytics (IA). The IA design space is vast, multi-faceted, and everchanging, challenging development in the absence of robust authoring support. The web is a popular platform for visualization applications, research, and teaching, and by leveraging the benefits of w...	false	false	[ "David Saffo", "Benjamin Lee 0001", "Feiyu Lu 0001", "Cheng Yao Wang", "Blair MacIntyre" ]	[]	[]	[]
CHI	2,026	Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics	10.1145/3772318.3791458	Clinician skepticism toward opaque AI hinders adoption in high-stakes healthcare. We present AICare, an interactive and interpretable AI copilot for collaborative clinical decision-making. By analyzing longitudinal electronic health records, AICare grounds dynamic risk predictions in scrutable visualizations and LLM-dr...	false	false	[ "Yinghao Zhu", "Dehao Sui", "Zixiang Wang", "Xuning Hu", "Lei Gu", "Yifan Qi", "Tianchen Wu", "Ling Wang", "Yuan Wei", "Wen Tang 0001", "Zhihan Cui", "Yasha Wang", "Lequan Yu", "Ewen M. Harrison", "Junyi Gao", "Liantao Ma" ]	[]	[]	[]
CHI	2,026	Automatic Synthesis of Visualization Design Knowledge Bases	10.1145/3772318.3790286	Formal representations of the visualization design space, such as knowledge bases and graphs, consolidate design practices into a shared resource and enable automated reasoning and interpretable design recommendations. However, prior approaches typically depend on fixed, manually authored rules, making it difficult to ...	false	false	[ "Hyeok Kim", "Sehi L'Yi", "Nils Gehlenborg", "Jeffrey Heer" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2601.19237v1", "icon": "paper" } ]
CHI	2,026	BAIT: Visual-illusion-inspired Privacy Preservation for Mobile Data Visualization	10.1145/3772318.3791259	With the prevalence of mobile data visualizations, there have been growing concerns about their privacy risks, especially shoulder surfing attacks. Inspired by prior research on visual illusion, we propose BAIT, a novel approach to automatically generate privacy-preserving visualizations by stacking a decoy visualizati...	false	false	[ "Sizhe Cheng", "Songheng Zhang", "Dong Ma 0001", "Yong Wang 0021" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2601.18497v2", "icon": "paper" } ]
CHI	2,026	BloomBeacon: Blooming Physical Touch Display Surfaces via Persistence-of-Vision Motion	10.1145/3772318.3790357	We explore how a display surface can physically emerge on demand to support both mid-air visualization and direct touch interaction. We introduce blooming, a concept that repurposes Persistence-of-Vision (POV) motion to deploy a large, touchable surface from a compact, relocatable device. Using a soft, rotating line wi...	false	false	[ "Willa Yunqi Yang", "Justice T. Andersen", "David Dajun Yuan", "Ken Nakagaki" ]	[]	[]	[]
CHI	2,026	BRIDGE: Borderless Reconfiguration for Inclusive and Diverse Gameplay Experience via Embodiment Transformation	10.1145/3772318.3790805	Training resources for parasports are limited, reducing opportunities for athletes and coaches to engage with sport-specific movements and tactical coordination. To address this gap, we developed BRIDGE, a system that integrates a reconstruction pipeline, which detects and tracks players from broadcast video to generat...	false	false	[ "Hayato Saiki", "Chunggi Lee", "Hikari Takahashi", "Tica Lin", "Hidetada Kishi", "Kaori Tachibana", "Yasuhiro Suzuki", "Hanspeter Pfister", "Kenji Suzuki 0002" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2602.23288v1", "icon": "paper" } ]
CHI	2,026	CADModelScope: Revealing the Dependency Structure Behind Parametric Computer-Aided Design Models	10.1145/3772318.3791070	Parametric computer-aided design (CAD) models are constructed by a sequence of operations, where each operation may reference geometries created by earlier operations. This network of dependencies enables efficient modelling of complex geometry but also results in fragile models, where small modifications can trigger c...	false	false	[ "Yuanzhe Deng", "Zhijing Zhang", "Shurui Zhou", "Alison Olechowski" ]	[]	[]	[]
CHI	2,026	Can AR Embedded Visualizations Foster Appropriate Reliance on AI in Spatial Decision-Making? A Comparative Study of AR X-Ray vs. 2D Minimap	10.1145/3772318.3790710	Artificial Intelligence (AI) and indoor sensing increasingly support decision-making in spatial environments. However, traditional visualization methods impose a substantial mental workload when viewers translate this digital information into real-world spaces, leading to inappropriate reliance on AI. Embedded visualiz...	false	false	[ "Xianhao Carton Liu", "Difan Jia", "Tongyu Nie", "Evan Suma Rosenberg", "Victoria Interrante", "Chen Zhu-Tian" ]	[]	[]	[]
CHI	2,026	Challenges in Synchronous & Remote Collaboration Around Visualization	10.1145/3772318.3791117	We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities....	false	false	[ "Matthew Brehmer", "Maxime Cordeil", "Christophe Hurter", "Takayuki Itoh", "Wolfgang Büschel", "Mahmood Jasim", "Arnaud Prouzeau", "David Saffo", "Lyn Bartram", "Sheelagh Carpendale", "Chen Zhu-Tian", "Andrew Cunningham", "Tim Dwyer", "Samuel Huron", "Masahiko Itoh", "Alark Joshi", "...	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2603.05871v1", "icon": "paper" } ]
CHI	2,026	Chasing Meaning and/or Insight? A Survey on Evaluation Practices at the Intersection of Visualization and the Humanities	10.1145/3772318.3793150	The intersection of visualization and the humanities (VIS*H) is marked by a tension between chasing analytical "insight" and interpretive "meaning." The effectiveness of visualization techniques hinges on established evaluation frameworks that assess both analytical utility and communicative efficacy, creating a potent...	false	false	[ "Alejandro Benito-Santos", "Florian Windhager", "Aida Horaniet Ibañez", "Rabea Kleymann", "Alfie Abdul-Rahman", "Eva Mayr" ]	[]	[]	[]
CHI	2,026	CineCraft: Unified Shot Planning, Capture, and Post-Processing for Mobile Cinematography	10.1145/3772318.3791532	We present CineCraft, an interactive mobile application that unifies planning, capture, and post-processing for cinematography on a single device. Our key design insight is to use a storyboard-like shot plan as a persistent representation that connects different stages of the filmmaking process, emulating coordination ...	false	false	[ "Nhan (Nathan) Tran", "Sam Belliveau", "Zixin Xu", "Abe Davis" ]	[]	[]	[]
CHI	2,026	ClayPhys: Towards Toolkits that Support Making Expressive Data Physicalization	10.1145/3772318.3790871	Existing toolkits for data physicalization prioritize ease of use and adoption by novices. This is often achieved by limiting the affordances of the materials used and constraining design possibilities. The result is limited opportunities for creating expressive physicalizations. To address this limitation and to bette...	false	false	[ "Bahare Bakhtiari", "Yichun Zhao", "Jiayue Wong", "Aurélien Tabard", "Sowmya Somanath", "Charles Perin" ]	[]	[]	[]
CHI	2,026	CodeStream: Augmenting Timelines with Code Annotation for Navigating Large Coding Histories	10.1145/3772318.3791873	Code edit histories can offer instructors valuable insight into students' problem-solving processes, revealing unproductive behaviors that final code alone cannot capture. For example, a correct solution may contain large copy-and-pasted segments (suggesting the code originated elsewhere) or unguided trial-and-error (s...	false	false	[ "Ashley Ge Zhang", "Yan-Ru Jhou", "Yinuo Yang", "Shamita Rao", "Maryam Arab", "Yan Chen 0033", "Steve Oney" ]	[]	[]	[]
CHI	2,026	Component-Wise Sketching and Generation for Car Interior Design	10.1145/3772318.3790912	While car exterior designers are adopting 2D generative AI in their workflows, interior designers still face significant challenges. AI often fails to capture intended forms and layouts from interior sketches typically drawn in extreme perspectives and containing multiple components. Moreover, designers must rely on ex...	false	false	[ "Jeongche Yoon", "Seung-Jun Lee", "Donghyeok Ma", "Seok-Hyung Bae" ]	[]	[]	[]
CHI	2,026	CoNode: Visualizing Workflows for Knowledge Reuse and Recombination in Team-AI Collaborative Design	10.1145/3772318.3791216	In early-stage industrial design, teams generate essential but fragile process knowledge—semantic tags, sketches, exploration paths—that is rarely captured or reused but which may be useful at latter design stages, and AI could be used for this purpose. Yet existing AI creativity tools remain outcome-oriented, offering...	false	false	[ "Yang Zhou", "Yi Xiao 0004", "Guangpeng Wei", "Suxiang Ling", "Ruoxuan Ma", "Chi-Sing Leung" ]	[]	[]	[]
CHI	2,026	Consensus and Contradictions: A Cross-Organizational Analysis of Visualization Style Guides	10.1145/3772318.3791628	Should you place three pie charts side by side, or should you avoid pie charts altogether? Publicly available visualization style guides offer contradictory answers to such questions. Despite their growing influence on how people encounter data, these guides are seldom studied as a collective phenomenon. Addressing thi...	false	false	[ "Alvitta Ottley" ]	[]	[]	[]
CHI	2,026	ContAQT: Designing an Interactive Data Display to Make Multi-Pollutant Air Quality Data Accessible	10.1145/3772318.3790975	Air pollution poses critical health and environmental risks, yet public communication of air quality data is typically reduced to a single Air Quality Index (AQI) value that obscures underlying complexity. Existing visualization tools reinforce this oversimplification, leaving key AQI messages unaddressed. This paper p...	false	false	[ "Yixuan Li", "Jordan Hill", "Zeyu Hua", "Seik Oh", "Yuhan Wang", "Alex Endert", "Jessica Roberts" ]	[]	[]	[]
CHI	2,026	Creativity from Surprise: Bridging the Gap Between Fashion Designers' Inspiration Work and AI Creative Support Tools	10.1145/3772318.3790989	Advances in Generative AI (GenAI) enable unexpected creation in visual images. In fashion design, this capability has intensified demand for creativity support tools where fast-paced trends challenge fixation and drive exploration of novel creative directions. While prior work has explored interfaces that align designe...	false	false	[ "Yu Jin", "Yousang Kwon", "Juhyeok Yoon", "Bowen Zhan", "Kyungho Lee" ]	[]	[]	[]
CHI	2,026	Crystallizing Schemas with Teleoscope: Thematic Curation of Large Text Corpora on Reddit	10.1145/3772318.3791310	Large text corpora, such as Reddit posts, have become an increasingly prevalent site of qualitative inquiry. However, most large text corpora are intractable for qualitative researchers. Instead, teams rely on statistical subsampling to reduce corpora to a manageable size for qualitative analysis. While previous work f...	false	false	[ "Patrick Yung Kang Lee", "Paul H. Bucci", "Leo Itsuki Foord-Kelcey", "Alamjeet Singh", "Ivan Beschastnikh" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2402.06124v3", "icon": "paper" } ]
CHI	2,026	D-MO: Depth from Motion and Occlusion as a Visual Channel for Information Visualization	10.1145/3772318.3791042	On a visualization, the position of the marks encoding data is the most expressive and effective visual channel. It conveys order and quantity without impairing the perception of other visual channels. In the field of Information Visualization, position is often restricted to two dimensions, because using the third dim...	false	false	[ "Carla Coutant", "Adrien Chaffangeon Caillet", "Renaud Blanch" ]	[]	[]	[]
CHI	2,026	Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co‑Debugging System	10.1145/3772318.3791441	Visualization authoring is an iterative process requiring users to adjust parameters to achieve desired aesthetics. Due to its complexity, users often create defective visualizations and struggle to fix them. Many seek help on forums (e.g., Stack Overflow), while others turn to AI, yet little is known about the strengt...	false	false	[ "Shuyu Shen", "Sirong Lu", "Leixian Shen", "Yuyu Luo" ]	[]	[]	[]
CHI	2,026	Deconstructing Open-World Game Mission Design Formula: A Thematic Analysis Using an Action-Block Framework	10.1145/3772318.3790625	Open-world missions often rely on repeated formulas, yet designers lack systematic ways to examine pacing, variation, and experiential balance across large portfolios. We introduce the Mission Action Quality Vector (MAQV), a six-dimensional framework—covering combat, exploration, narrative, emotion, problem-solving, an...	false	false	[ "Kaijie Xu 0002", "Yiwei Zhang", "Brian Yang", "Clark Verbrugge" ]	[]	[]	[]
CHI	2,026	Deepfake, Real Harm: A Participatory Approach for Imagining Infrastructures to Combat Deepfake Sexual Abuse	10.1145/3772318.3790902	With generative AI enabling easier production of sexually abusive content, deepfake sexual abuse has intensified, making anyone with visual data be a potential victim or perpetrator. Current moderation systems for non-consensual intimate imagery (NCII) are platform-centric, reactive, and poorly aligned with the workflo...	false	false	[ "Saetbyeol LeeYouk", "Joseph Seering" ]	[]	[]	[]
CHI	2,026	DensityBars: A Space-Efficient Visualization for Event Temporal Distribution	10.1145/3772318.3791169	Event temporal distribution analysis aims to capture both global (e.g., rises and peaks) and local patterns (e.g., frequent occurrences and sudden absences). Traditional charts typically rely on adjusting binning granularities to reveal such patterns. However, this strategy forces a trade-off between global clarity and...	false	false	[ "Mingwei Lin", "Qin Huang", "Zikun Deng", "Tobias Schreck", "Yi Cai 0001" ]	[]	[]	[]
CHI	2,026	Designing Computational Tools for Exploring Causal Relationships in Qualitative Data	10.1145/3772318.3791953	Figure 1: An overview of QualCausal. QualCausal consists of (a) Causal Network Construction through three steps: (a.1) extracting indicators from qualitative data based on the user-provided research overview, (a.2) interactively creating and mapping concepts with user control, and (a.3) extracting causal relationships;...	false	false	[ "Han Meng", "Qiuyuan Lyu", "Peinuan Qin", "Yitian Yang", "Renwen Zhang", "Wen-Chieh Lin", "Yi-Chieh Lee" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2602.06506v1", "icon": "paper" } ]
CHI	2,026	Designing Group Activity Metrics for Social Interaction and Walking Adherence: A Social Prototyping Study Among Indian Older Adults	10.1145/3772318.3791564	Adherence to physical activity is critical for healthy ageing, yet older adults often struggle to maintain consistent routines. We introduce Group Activity Metrics (GAMs), a design construct comprising group visualisations shared within familiar, small social groups, and examine how they facilitate social interaction a...	false	false	[ "Pallavi Rao Gadahad", "Anirudha Joshi", "Riddhi Pramod Dumre" ]	[]	[]	[]
CHI	2,026	Designing Movement Generation Models in Collaboration With Voguing And Dancehall Dancers	10.1145/3772318.3791515	Recent advances in Artificial Intelligence have enabled powerful generative models, yet few are tailored to dancers' practices. We present a long-term collaboration with a Voguing and Dancehall collective to design movement generation models trained on their repertoire. Our initial study with the dancers revealed that,...	false	false	[ "Léo Chédin", "Jules Françoise", "Baptiste Caramiaux", "Sarah Fdili Alaoui" ]	[]	[]	[]
CHI	2,026	Do It Fast, Forget It Fast: How Timing and Limb Visualizations Affect First-Person Augmented Reality Instructions	10.1145/3772318.3791471	Acquiring tacit knowledge and practical skills often depends on direct observation and in situ training. AR offers an alternative by overlaying first-person step-by-step instructions that guide users through tasks such as assembly and repair. Previous work demonstrates the effectiveness of AR instruction for specific a...	false	false	[ "Clara Sayffaerth", "Ehbal Ablimit", "Annika Köhler", "Jonas Wombacher", "Albrecht Schmidt 0001", "Florian Müller 0003" ]	[]	[]	[]
CHI	2,026	Does Background Music Matter in Data Videos? A Study of Music's Impact on Persuasion, Engagement, and Recall	10.1145/3772318.3791466	Data videos combine visualization, animation, narration, and often background music to tell stories with data. While music is widely believed to enhance emotion and persuasion, its impact in data videos remains unexplored. We conducted a preregistered between-subjects experiment comparing six widely-viewed data videos ...	false	false	[ "Hessam Djavaherpour", "Leni Yang", "Yvonne Jansen", "Pierre Dragicevic", "Narges Mahyar", "Mahmood Jasim" ]	[]	[]	[]
CHI	2,026	Embedded vs. Situated: An Evaluation of AR Facial Training Feedback	10.1145/3772318.3791941	While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Providing effective real-time feedback for facial muscle training presents unique design challenges, given the complexity of facial musculature. ...	false	false	[ "Avinash Ajit Nargund", "Andrea M. Park", "Tobias Höllerer", "Misha Sra" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2602.01050v1", "icon": "paper" } ]
CHI	2,026	Embodying Facts, Figures, and Faiths in Narrative Artistic Performances in Rural Bangladesh	10.1145/3772318.3790387	There is an increasing interest in telling serious stories with data. Designers organize information, construct narratives, and present findings to inform audiences. However, many of these practices emerge from modern information visualization rhetoric and ethical frameworks which may marginalize communities with low d...	false	false	[ "Sharifa Sultana", "Jeffrey M. Rzeszotarski", "Zinnat Sultana", "Syed Ishtiaque Ahmed" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2603.21830v1", "icon": "paper" } ]
CHI	2,026	Evaluation-First Design for Data Visualization Interfaces	10.1145/3772318.3791057	Existing frameworks in visualization and HCI emphasize iteration, data grounding, and stakeholder needs; however, they have not fully explored how evaluation might persist across phases, adapt to compressed timelines, and aid stakeholder engagement and elicitation. Building on prior frameworks, we introduce Evaluation-...	false	false	[ "Bijesh Shrestha", "Hilson Shrestha", "Karen Bonilla", "R. Jordan Crouser", "Lane Harrison" ]	[]	[]	[]
CHI	2,026	Every Move You Make: Visualizing Near-Future Motion Under Delay for Telerobotics	10.1145/3772318.3791452	Delays in direct teleoperation decouple operator input from robot feedback. We frame this not as a unitary problem but as three facets of operator uncertainty: (1) communication, when commands take effect, (2) trajectory, how inputs map to motion, and (3) environmental, how external factors alter outcomes. We externali...	false	false	[ "Dries Cardinaels", "Raf Ramakers", "Tom Veuskens", "Thomas Pietrzak", "Gustavo Alberto Rovelo Ruiz", "Kris Luyten" ]	[]	[]	[]
CHI	2,026	Examining Interpretation Strategies for Multiple Forecast Visualizations with Two and Four Forecasts	10.1145/3772318.3790969	Multiple forecast visualizations (MFVs) present curated sets of forecasts to support decision-making under uncertainty. However, the research community knows little about how people interpret and integrate competing forecasts. In this study, we investigate the strategies individuals use when predicting hypothetical fut...	false	false	[ "Lace M. K. Padilla", "Racquel Fygenson", "Connor Wilson", "Kristi Potter", "Spencer C. Castro" ]	[]	[]	[]
CHI	2,026	Exploring Collaborative Immersive Visualization & Analytics for High-Dimensional Scientific Data through Domain Expert Perspectives	10.1145/3772318.3791203	Cross-disciplinary teams increasingly work with high-dimensional scientific datasets, yet fragmented toolchains and limited support for shared exploration hinder collaboration. Prior immersive visualization & analytics research has emphasized individual interaction, leaving open how multi-user collaboration can be supp...	false	false	[ "Fahim Arsad Nafis", "Jie Li 0064", "Simon Su", "Songqing Chen", "Bo Han 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://arxiv.org/pdf/2602.02743v2", "icon": "paper" } ]
CHI	2,026	Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek	10.1145/3772318.3791945	Web AI agents such as ChatGPT Agent and GenSpark are increasingly used for routine web-based tasks, yet they still rely on text-based input prompts, lack proactive detection of user intent, and offer no support for interactive data analysis and decision making. We present WebSeek, a mixed-initiative browser extension t...	false	false	[ "Yanwei Huang", "Arpit Narechania" ]	[]	[]	[]

End of preview. Expand in Data Studio

VisPubs Dataset

A curated dataset of visualization research publications from IEEE VIS, EuroVis, and CHI conferences.

Website: vispubs.com Source: github.com/Dev-Lan/vispubs

Schema

Column	Type	Description
Conference	categorical	Conference venue (Vis, EuroVis, CHI)
Year	int	Publication year
Title	string	Paper title
DOI	string	Digital Object Identifier
Abstract	string	Paper abstract
AuthorNames-Deduped	list[string]	Author names (deduplicated)
Award	list[string]	Awards received (BP, HM, BCS, BA, TT)
Accessible	bool	Tagged for screen-reader accessibility
Early	bool	Early access publication
Resources	list[string]	Available resource types (P, V, C, PW, D, O)
ResourceLinks	list[struct]	Links for each resource: {name, url, icon}

Award Codes

BP — Best Paper
HM — Honorable Mention
BCS — Best Case Study
BA — Best Application
TT — Test of Time

Resource Codes

P — Paper (preprint)
V — Video
C — Code
PW — Project Website
D — Data
O — Other

Usage

pip install datasets

Load the most recent version:

from datasets import load_dataset
ds = load_dataset("DevLan/vispubs")
print(ds["train"].to_pandas().head())

Load a specific tagged version:

from datasets import load_dataset
ds = load_dataset("DevLan/vispubs", revision="v2026.0-alpha")
print(ds["train"].to_pandas().head())

Versioning

Versions follow v{year}.{minor} with optional prerelease suffixes:

alpha — Early testing, schema may change
beta — Near-stable, minor adjustments possible
No suffix — Stable release

Changelog

v2026.7 (2026-08-13)

add missing abstracts to 8 publications

v2026.6 (2026-08-13)

- add 55 papers from EuroVis[2026], including the 3 STAR papers, from the Eurographics digital library. These are marked early access since author names are not yet deduplicated.
add arXiv preprint links for 21 of the EuroVis 2026 papers