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Vis
2,022
GenoREC: A Recommendation System for Interactive Genomics Data Visualization
10.1109/TVCG.2022.3209407
Interpretation of genomics data is critically reliant on the application of a wide range of visualization tools. A large number of visualization techniques for genomics data and different analysis tasks pose a significant challenge for analysts: which visualization technique is most likely to help them generate insight...
false
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[ "Aditeya Pandey", "Sehi L'Yi", "Qianwen Wang", "Michelle Borkin", "Nils Gehlenborg" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/rscb4", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/MK8OcbGlaCk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/UmYxcrR1PmY", "icon": "video" } ]
Vis
2,022
Geo-Storylines: Integrating Maps into Storyline Visualizations
10.1109/TVCG.2022.3209480
Storyline visualizations are a powerful way to compactly visualize how the relationships between people evolve over time. Real-world relationships often also involve space, for example the cities that two political rivals visited together or alone over the years. By default, Storyline visualizations only show implicitl...
false
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[ "Golina Hulstein", "Vanessa Peña Araya", "Anastasia Bezerianos" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/sPzsQqHDSGo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/S_WISD78cfs", "icon": "video" } ]
Vis
2,022
GRay: Ray Casting for Visualization and Interactive Data Exploration of Gaussian Mixture Models
10.1109/TVCG.2022.3209374
The Gaussian mixture model (GMM) describes the distribution of random variables from several different populations. GMMs have widespread applications in probability theory, statistics, machine learning for unsupervised cluster analysis and topic modeling, as well as in deep learning pipelines. So far, few efforts have ...
false
false
[ "Kai Lawonn", "Monique Meuschke", "Pepe Eulzer", "Matthias Mitterreiter", "Joachim Giesen", "Tobias Günther" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/Vh9iA5A-HNo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/4KbR6BNn-ws", "icon": "video" } ]
Vis
2,022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning
10.1109/TVCG.2022.3209347
Horizontal federated learning (HFL) enables distributed clients to train a shared model and keep their data privacy. In training high-quality HFL models, the data heterogeneity among clients is one of the major concerns. However, due to the security issue and the complexity of deep learning models, it is challenging to...
false
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[ "Xumeng Wang", "Wei Chen 0001", "Jiazhi Xia", "Zhen Wen", "Rongchen Zhu", "Tobias Schreck" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.07491v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/bboSdZ294x0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/mN4rlnMSD7Y", "icon": "video" } ]
Vis
2,022
HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data
10.1109/TVCG.2022.3209354
Tabular visualization techniques integrate visual representations with tabular data to avoid additional cognitive load caused by splitting users' attention. However, most of the existing studies focus on simple flat tables instead of hierarchical tables, whose complex structure limits the expressiveness of visualizatio...
false
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[ "Guozheng Li 0002", "Runfei Li", "Zicheng Wang", "Chi Harold Liu", "Min Lu 0002", "Guoren Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.05821v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nrSju2-lqCc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Eem27BmZfXs", "icon": "video" } ]
Vis
2,022
How Do Viewers Synthesize Conflicting Information from Data Visualizations?
10.1109/TVCG.2022.3209467
Scientific knowledge develops through cumulative discoveries that build on, contradict, contextualize, or correct prior findings. Scientists and journalists often communicate these incremental findings to lay people through visualizations and text (e.g., the positive and negative effects of caffeine intake). Consequent...
false
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[ "Prateek Mantri", "Hariharan Subramonyam", "Audrey L. Michal", "Cindy Xiong" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03828v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nudl0CYXZBU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Un-d8rKSqrs", "icon": "video" } ]
Vis
2,022
IDLat: An Importance-Driven Latent Generation Method for Scientific Data
10.1109/TVCG.2022.3209419
Deep learning based latent representations have been widely used for numerous scientific visualization applications such as isosurface similarity analysis, volume rendering, flow field synthesis, and data reduction, just to name a few. However, existing latent representations are mostly generated from raw data in an un...
false
false
[ "Jingyi Shen", "Haoyu Li", "Jiayi Xu 0001", "Ayan Biswas", "Han-Wei Shen" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03345v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/0rCVIDzQG6Y", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/wJkr7i_yRXg", "icon": "video" } ]
Vis
2,022
In Defence of Visual Analytics Systems: Replies to Critics
10.1109/TVCG.2022.3209360
The last decade has witnessed many visual analytics (VA) systems that make successful applications to wide-ranging domains like urban analytics and explainable AI. However, their research rigor and contributions have been extensively challenged within the visualization community. We come in defence of VA systems by con...
false
false
[ "Aoyu Wu", "Dazhen Deng", "Furui Cheng", "Yingcai Wu", "Shixia Liu", "Huamin Qu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2201.09772v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/i5bp51QSFCQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/KJMstdzDEeY", "icon": "video" } ]
Vis
2,022
Incorporation of Human Knowledge into Data Embeddings to Improve Pattern Significance and Interpretability
10.1109/TVCG.2022.3209382
Embedding is a common technique for analyzing multi-dimensional data. However, the embedding projection cannot always form significant and interpretable visual structures that foreshadow underlying data patterns. We propose an approach that incorporates human knowledge into data embeddings to improve pattern significan...
false
false
[ "Jie Li 0006", "Chun-qi Zhou" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.11364v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/LUmmzKTx-rM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/oQyBQv530RA", "icon": "video" } ]
Vis
2,022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
10.1109/TVCG.2022.3209479
State-of-the-art neural language models can now be used to solve ad-hoc language tasks through zero-shot prompting without the need for supervised training. This approach has gained popularity in recent years, and researchers have demonstrated prompts that achieve strong accuracy on specific NLP tasks. However, finding...
false
false
[ "Hendrik Strobelt", "Albert Webson", "Victor Sanh", "Benjamin Hoover", "Johanna Beyer", "Hanspeter Pfister", "Alexander M. Rush" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.07852v1", "icon": "paper" } ]
Vis
2,022
Interactive Visual Analysis of Structure-borne Noise Data
10.1109/TVCG.2022.3209478
Numerical simulation has become omnipresent in the automotive domain, posing new challenges such as high-dimensional parameter spaces and large as well as incomplete and multi-faceted data. In this design study, we show how interactive visual exploration and analysis of high-dimensional, spectral data from noise simula...
false
false
[ "Rainer Splechtna", "Denis Gracanin", "Goran Todorovic", "Stanislav Goja", "Boris Bedic", "Helwig Hauser", "Kresimir Matkovic" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.03083v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/3xxYS7aTSo4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/k6SuFkvq4FY", "icon": "video" } ]
Vis
2,022
Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction
10.1109/TVCG.2022.3209423
We propose a contrastive dimensionality reduction approach (CDR) for interactive visual cluster analysis. Although dimensionality reduction of high-dimensional data is widely used in visual cluster analysis in conjunction with scatterplots, there are several limitations on effective visual cluster analysis. First, it i...
false
false
[ "Jiazhi Xia", "Linquan Huang", "Weixing Lin", "Xin Zhao", "Jing Wu 0004", "Yang Chen", "Ying Zhao 0001", "Wei Chen 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/jCzKrn_Sins", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/E-TnYjcNyW4", "icon": "video" } ]
Vis
2,022
KiriPhys: Exploring New Data Physicalization Opportunities
10.1109/TVCG.2022.3209365
We present KiriPhys, a new type of data physicalization based on kirigami, a traditional Japanese art form that uses paper-cutting. Within the kirigami possibilities, we investigate how different aspects of cutting patterns offer opportunities for mapping data to both independent and dependent physical variables. As a ...
false
false
[ "Foroozan Daneshzand", "Charles Perin", "Sheelagh Carpendale" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/ra36e", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KqPcvUkoyK4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/nxg0FpRtrXk", "icon": "video" } ]
Vis
2,022
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies
10.1109/TVCG.2022.3209477
Temporal (or time-evolving) networks are commonly used to model complex systems and the evolution of their components throughout time. Although these networks can be analyzed by different means, visual analytics stands out as an effective way for a pre-analysis before doing quantitative/statistical analyses to identify...
false
false
[ "Claudio D. G. Linhares", "Jean R. Ponciano", "Diogenes S. Pedro", "Luis Enrique Correa da Rocha", "Agma J. M. Traina", "Jorge Poco" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04358v1", "icon": "paper" } ]
Vis
2,022
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis
10.1109/TVCG.2022.3209473
Spatial statistical analysis of multivariate volumetric data can be challenging due to scale, complexity, and occlusion. Advances in topological segmentation, feature extraction, and statistical summarization have helped overcome the challenges. This work introduces a new spatial statistical decomposition method based ...
false
false
[ "Tyson Neuroth", "Martin Rieth", "Aditya Konduri", "Myoungkyu Lee", "Jacqueline Chen", "Kwan-Liu Ma" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.06970v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QQN-LcMdhkY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/-HMcxq7x_eQ", "icon": "video" } ]
Vis
2,022
Lotse: A Practical Framework for Guidance in Visual Analytics
10.1109/TVCG.2022.3209393
Co-adaptive guidance aims to enable efficient human-machine collaboration in visual analytics, as proposed by multiple theoretical frameworks. This paper bridges the gap between such conceptual frameworks and practical implementation by introducing an accessible model of guidance and an accompanying guidance library, m...
false
false
[ "Fabian Sperrle", "Davide Ceneda", "Mennatallah El-Assady" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04434v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/AiCCyBacEcs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/cYallUixgps", "icon": "video" } ]
Vis
2,022
Measuring Effects of Spatial Visualization and Domain on Visualization Task Performance: A Comparative Study
10.1109/TVCG.2022.3209491
Understanding one's audience is foundational to creating high impact visualization designs. However, individual differences and cognitive abilities influence interactions with information visualization. Different user needs and abilities suggest that an individual's background could influence cognitive performance and ...
false
false
[ "Sara Tandon", "Alfie Abdul-Rahman", "Rita Borgo" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.04844v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/9fMhNt5XZSs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iQVkv1GjArs", "icon": "video" } ]
Vis
2,022
MedChemLens: An Interactive Visual Tool to Support Direction Selection in Interdisciplinary Experimental Research of Medicinal Chemistry
10.1109/TVCG.2022.3209434
Interdisciplinary experimental science (e.g., medicinal chemistry) refers to the disciplines that integrate knowledge from different scientific backgrounds and involve experiments in the research process. Deciding “in what direction to proceed” is critical for the success of the research in such disciplines, since the ...
false
false
[ "Chuhan Shi", "Fei Nie", "Yicheng Hu", "Yige Xu 0001", "Lei Chen 0002", "Xiaojuan Ma", "Qiong Luo 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/ZiZ9i8QZLR0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/_n2PNb6qzuM", "icon": "video" } ]
Vis
2,022
MEDLEY: Intent-based Recommendations to Support Dashboard Composition
10.1109/TVCG.2022.3209421
Despite the ever-growing popularity of dashboards across a wide range of domains, their authoring still remains a tedious and complex process. Current tools offer considerable support for creating individual visualizations but provide limited support for discovering groups of visualizations that can be collectively use...
false
false
[ "Aditeya Pandey", "Arjun Srinivasan", "Vidya Setlur" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03175v1", "icon": "paper" } ]
Vis
2,022
MetaGlyph: Automatic Generation of Metaphoric Glyph-based Visualization
10.1109/TVCG.2022.3209447
Glyph-based visualization achieves an impressive graphic design when associated with comprehensive visual metaphors, which help audiences effectively grasp the conveyed information through revealing data semantics. However, creating such metaphoric glyph-based visualization (MGV) is not an easy task, as it requires not...
false
false
[ "Lu Ying", "Xinhuan Shu", "Dazhen Deng", "Yuchen Yang", "Tan Tang", "Lingyun Yu 0001", "Yingcai Wu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.05739v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/7VAaN2HhsJw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/3Xq2cN06nos", "icon": "video" } ]
Vis
2,022
MosaicSets: Embedding Set Systems into Grid Graphs
10.1109/TVCG.2022.3209485
Visualizing sets of elements and their relations is an important research area in information visualization. In this paper, we present MosaicSets: a novel approach to create Euler-like diagrams from non-spatial set systems such that each element occupies one cell of a regular hexagonal or square grid. The main challeng...
false
false
[ "Peter Rottmann", "Markus Wallinger", "Annika Bonerath", "Sven Gedicke", "Martin Nöllenburg", "Jan-Henrik Haunert" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.07982v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/kvvDm_5661Q", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/hB8RRJeHuCA", "icon": "video" } ]
Vis
2,022
Multi-View Design Patterns and Responsive Visualization for Genomics Data
10.1109/TVCG.2022.3209398
A series of recent studies has focused on designing cross-resolution and cross-device visualizations, i.e., responsive visualization, a concept adopted from responsive web design. However, these studies mainly focused on visualizations with a single view to a small number of views, and there are still unresolved questi...
false
false
[ "Sehi L'Yi", "Nils Gehlenborg" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/pd7vq", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/vPc0sh_iVB0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/dJVPjcxK_-Q", "icon": "video" } ]
Vis
2,022
Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations
10.1109/TVCG.2022.3209457
The prevalence of inadequate SARS-COV-2 (COVID-19) responses may indicate a lack of trust in forecasts and risk communication. However, no work has empirically tested how multiple forecast visualization choices impact trust and task-based performance. The three studies presented in this paper ($N=1299$) examine how vis...
false
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[ "Lace M. K. Padilla", "Racquel Fygenson", "Spencer C. Castro", "Enrico Bertini" ]
[ "BP" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/2sq7j", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/O9IqmSVsfXI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/6vQJYh7O3lg", "icon": "video" } ]
Vis
2,022
Multivariate Probabilistic Range Queries for Scalable Interactive 3D Visualization
10.1109/TVCG.2022.3209439
Large-scale scientific data, such as weather and climate simulations, often comprise a large number of attributes for each data sample, like temperature, pressure, humidity, and many more. Interactive visualization and analysis require filtering according to any desired combination of attributes, in particular logical ...
false
false
[ "Amani Ageeli", "Alberto Jaspe Villanueva", "Ronell Sicat", "Florian Mannuß", "Peter Rautek", "Markus Hadwiger" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/8X8Ctt10oII", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yrQRYjA_NTg", "icon": "video" } ]
Vis
2,022
NAS-Navigator: Visual Steering for Explainable One-Shot Deep Neural Network Synthesis
10.1109/TVCG.2022.3209361
The success of DL can be attributed to hours of parameter and architecture tuning by human experts. Neural Architecture Search (NAS) techniques aim to solve this problem by automating the search procedure for DNN architectures making it possible for non-experts to work with DNNs. Specifically, One-shot NAS techniques h...
false
false
[ "Anjul Tyagi", "Cong Xie", "Klaus Mueller 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.13008v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/DwCxfleJStg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xKcNSf9gGko", "icon": "video" } ]
Vis
2,022
No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization
10.1109/TVCG.2022.3209460
There has been substantial growth in the use of JSON-based grammars, as well as other standard data serialization languages, to create visualizations. Each of these grammars serves a purpose: some focus on particular computational tasks (such as animation), some are concerned with certain chart types (such as maps), an...
false
false
[ "Andrew M. McNutt" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.07998v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/1GTqeZ4nKpk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/eudQcdPhXDU", "icon": "video" } ]
Vis
2,022
OBTracker: Visual Analytics of Off-ball Movements in Basketball
10.1109/TVCG.2022.3209373
In a basketball play, players who are not in possession of the ball (i.e., off-ball players) can still effectively contribute to the team's offense, such as making a sudden move to create scoring opportunities. Analyzing the movements of off-ball players can thus facilitate the development of effective strategies for c...
false
false
[ "Yihong Wu", "Dazhen Deng", "Xiao Xie", "Moqi He", "Jie Xu", "Hongzeng Zhang", "Hui Zhang 0051", "Yingcai Wu" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/AGYqHPqQ8_4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iKKbQScLptg", "icon": "video" } ]
Vis
2,022
On-Tube Attribute Visualization for Multivariate Trajectory Data
10.1109/TVCG.2022.3209400
Stylized tubes are an established visualization primitive for line data as encountered in many scientific fields, ranging from characteristic lines in flow fields, fiber tracks reconstructed from diffusion tensor imaging, to trajectories of moving objects as they arise from cyber-physical systems in many engineering di...
false
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[ "Benjamin Russig", "David Groß", "Raimund Dachselt", "Stefan Gumhold" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/no-xqx4VRQ8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/0uB3HGtLuO4", "icon": "video" } ]
Vis
2,022
PC-Expo: A Metrics-Based Interactive Axes Reordering Method for Parallel Coordinate Displays
10.1109/TVCG.2022.3209392
Parallel coordinate plots (PCPs) have been widely used for high-dimensional (HD) data storytelling because they allow for presenting a large number of dimensions without distortions. The axes ordering in PCP presents a particular story from the data based on the user perception of PCP polylines. Existing works focus on...
false
false
[ "Anjul Tyagi", "Tyler Estro", "Geoffrey H. Kuenning", "Erez Zadok", "Klaus Mueller 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03430v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/TjxnMIOaJo4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yQD5nKklvN8", "icon": "video" } ]
Vis
2,022
Photosensitive Accessibility for Interactive Data Visualizations
10.1109/TVCG.2022.3209359
Accessibility guidelines place restrictions on the use of animations and interactivity on webpages to lessen the likelihood of webpages inadvertently producing sequences with flashes, patterns, or color changes that may trigger seizures for individuals with photosensitive epilepsy. Online data visualizations often inco...
false
false
[ "Laura South", "Michelle Borkin" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/7uyn9", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/O9PXUJM2ocQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/QSFUOVRGHzU", "icon": "video" } ]
Vis
2,022
PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid
10.1109/TVCG.2022.3209380
The electrical power grid is a critical infrastructure, with disruptions in transmission having severe repercussions on daily activities, across multiple sectors. To identify, prevent, and mitigate such events, power grids are being refurbished as ‘smart’ systems that include the widespread deployment of GPS-enabled ph...
false
false
[ "Anjana Arunkumar", "Andrea Pinceti", "Lalitha Sankar", "Chris Bryan" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.03514v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Q0-SJVxudh8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/VfjyqEqoitQ", "icon": "video" } ]
Vis
2,022
Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis
10.1109/TVCG.2022.3209408
Reference-based cell-type annotation can significantly reduce time and effort in single-cell analysis by transferring labels from a previously-annotated dataset to a new dataset. However, label transfer by end-to-end computational methods is challenging due to the entanglement of technical (e.g., from different sequenc...
false
false
[ "Furui Cheng", "Mark S. Keller", "Huamin Qu", "Nils Gehlenborg", "Qianwen Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/b76nt", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/-_vFKtJsliQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/FkbFjJO8QZY", "icon": "video" } ]
Vis
2,022
Predicting User Preferences of Dimensionality Reduction Embedding Quality
10.1109/TVCG.2022.3209449
A plethora of dimensionality reduction techniques have emerged over the past decades, leaving researchers and analysts with a wide variety of choices for reducing their data, all the more so given some techniques come with additional hyper-parametrization (e.g., t-SNE, UMAP, etc.). Recent studies are showing that peopl...
false
false
[ "Cristina Morariu", "Adrien Bibal", "René Cutura", "Benoît Frénay", "Michael Sedlmair" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/x6qjUoEUpIc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/NGWxpprFM1A", "icon": "video" } ]
Vis
2,022
Probablement, Wahrscheinlich, Likely? A Cross-Language Study of How People Verbalize Probabilities in Icon Array Visualizations
10.1109/TVCG.2022.3209367
Visualizations today are used across a wide range of languages and cultures. Yet the extent to which language impacts how we reason about data and visualizations remains unclear. In this paper, we explore the intersection of visualization and language through a cross-language study on estimative probability tasks with ...
false
false
[ "Noëlle Rakotondravony", "Yiren Ding", "Lane Harrison" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.09608v3", "icon": "paper" } ]
Vis
2,022
PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics
10.1109/TVCG.2022.3209440
Promotions are commonly used by e-commerce merchants to boost sales. The efficacy of different promotion strategies can help sellers adapt their offering to customer demand in order to survive and thrive. Current approaches to designing promotion strategies are either based on econometrics, which may not scale to large...
false
false
[ "Chenyang Zhang", "Xiyuan Wang", "Chuyi Zhao", "Yijing Ren", "Tianyu Zhang", "Zhenhui Peng", "Xiaomeng Fan", "Xiaojuan Ma", "Quan Li" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.01404v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/pWUqTkf0S74", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/pbwjVySy8O8", "icon": "video" } ]
Vis
2,022
PuzzleFixer: A Visual Reassembly System for Immersive Fragments Restoration
10.1109/TVCG.2022.3209388
We present PuzzleFixer, an immersive interactive system for experts to rectify defective reassembled 3D objects. Reassembling the fragments of a broken object to restore its original state is the prerequisite of many analytical tasks such as cultural relics analysis and forensics reasoning. While existing computer-aide...
false
false
[ "Shuainan Ye", "Zhutian Chen", "Xiangtong Chu", "Kang Li 0005", "Juntong Luo", "Yi Li", "Guohua Geng", "Yingcai Wu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/52xbZtb1cmo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/q1ZT8jv7EUE", "icon": "video" } ]
Vis
2,022
Quick Clusters: A GPU-Parallel Partitioning for Efficient Path Tracing of Unstructured Volumetric Grids
10.1109/TVCG.2022.3209418
We propose a simple yet effective method for clustering finite elements to improve preprocessing times and rendering performance of unstructured volumetric grids without requiring auxiliary connectivity data. Rather than building bounding volume hierarchies (BVHs) over individual elements, we sort elements along with a...
false
false
[ "Nathan Morrical", "Alper Sahistan", "Ugur Güdükbay", "Ingo Wald", "Valerio Pascucci" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/shi-_p-9QTE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Msu4ZX01FHY", "icon": "video" } ]
Vis
2,022
RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration
10.1109/TVCG.2022.3209463
Projection and ranking are frequently used analysis techniques in multi-attribute data exploration. Both families of techniques help analysts with tasks such as identifying similarities between observations and determining ordered subgroups, and have shown good performances in multi-attribute data exploration. However,...
false
false
[ "Qiangqiang Liu", "Yukun Ren", "Zhihua Zhu", "Dai Li", "Xiaojuan Ma", "Quan Li" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.01493v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/NnsJSS34pPI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/DmA0g8UlNjU", "icon": "video" } ]
Vis
2,022
RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports
10.1109/TVCG.2022.3209452
Experts in racket sports like tennis and badminton use tactical analysis to gain insight into competitors' playing styles. Many data-driven methods apply pattern mining to racket sports data — which is often recorded as multivariate event sequences — to uncover sports tactics. However, tactics obtained in this way are ...
false
false
[ "Jiang Wu", "Dongyu Liu", "Ziyang Guo", "Yingcai Wu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.00671v4", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CL8HxPjKHuI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Wr956aLgcmU", "icon": "video" } ]
Vis
2,022
Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution
10.1109/TVCG.2022.3209429
We introduce relaxed dot plots as an improvement of nonlinear dot plots for unit visualization. Our plots produce more faithful data representations and reduce moiré effects. Their contour is based on a customized kernel frequency estimation to match the shape of the distribution of underlying data values. Previous non...
false
false
[ "Nils Rodrigues", "Christoph Schulz 0001", "Sören Döring", "Daniel Baumgartner", "Tim Krake", "Daniel Weiskopf" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/r4letvZDJWQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/7D8MsG7t3CA", "icon": "video" } ]
Vis
2,022
Revealing the Semantics of Data Wrangling Scripts With Comantics
10.1109/TVCG.2022.3209470
Data workers usually seek to understand the semantics of data wrangling scripts in various scenarios, such as code debugging, reusing, and maintaining. However, the understanding is challenging for novice data workers due to the variety of programming languages, functions, and parameters. Based on the observation that ...
false
false
[ "Kai Xiong", "Zhongsu Luo", "Siwei Fu", "Yongheng Wang", "Mingliang Xu", "Yingcai Wu" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.13995v1", "icon": "paper" } ]
Vis
2,022
Rigel: Transforming Tabular Data by Declarative Mapping
10.1109/TVCG.2022.3209385
We present Rigel, an interactive system for rapid transformation of tabular data. Rigel implements a new declarative mapping approach that formulates the data transformation procedure as direct mappings from data to the row, column, and cell channels of the target table. To construct such mappings, Rigel allows users t...
false
false
[ "Ran Chen", "Di Weng", "Yanwei Huang", "Xinhuan Shu", "Jiayi Zhou", "Guodao Sun", "Yingcai Wu" ]
[]
[]
[]
Vis
2,022
RISeer: Inspecting the Status and Dynamics of Regional Industrial Structure via Visual Analytics
10.1109/TVCG.2022.3209351
Restructuring the regional industrial structure (RIS) has the potential to halt economic recession and achieve revitalization. Understanding the current status and dynamics of RIS will greatly assist in studying and evaluating the current industrial structure. Previous studies have focused on qualitative and quantitati...
false
false
[ "Longfei Chen", "Yang Ouyang", "Haipeng Zhang", "Suting Hong", "Quan Li" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.00625v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Cx81AWaK_oU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/GwkjlVpyIuc", "icon": "video" } ]
Vis
2,022
RoboHapalytics: A Robot Assisted Haptic Controller for Immersive Analytics
10.1109/TVCG.2022.3209433
Immersive environments offer new possibilities for exploring three-dimensional volumetric or abstract data. However, typical mid-air interaction offers little guidance to the user in interacting with the resulting visuals. Previous work has explored the use of haptic controls to give users tangible affordances for inte...
false
false
[ "Shaozhang Dai", "Jim Smiley", "Tim Dwyer", "Barrett Ens", "Lonni Besançon" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/gmju6", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/e9ANz79Z8mw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/XBApjWgHDJo", "icon": "video" } ]
Vis
2,022
Roboviz: A Game-Centered Project for Information Visualization Education
10.1109/TVCG.2022.3209402
Due to their pedagogical advantages, large final projects in information visualization courses have become standard practice. Students take on a client–real or simulated–a dataset, and a vague set of goals to create a complete visualization or visual analytics product. Unfortunately, many projects suffer from ambiguous...
false
false
[ "Eytan Adar", "Elsie Lee-Robbins" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04403v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/V7QcQRRmg7k", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/8SrT3nkfjn4", "icon": "video" } ]
Vis
2,022
Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation
10.1109/TVCG.2022.3209405
When an analyst or scientist has a belief about how the world works, their thinking can be biased in favor of that belief. Therefore, one bedrock principle of science is to minimize that bias by testing the predictions of one's belief against objective data. But interpreting visualized data is a complex perceptual and ...
false
false
[ "Cindy Xiong", "Chase Stokes", "Yea-Seul Kim", "Steven Franconeri" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.04436v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/7ISD9WtYChI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xBSZC2jj_wc", "icon": "video" } ]
Vis
2,022
Self-Supervised Color-Concept Association via Image Colorization
10.1109/TVCG.2022.3209481
The interpretation of colors in visualizations is facilitated when the assignments between colors and concepts in the visualizations match human's expectations, implying that the colors can be interpreted in a semantic manner. However, manually creating a dataset of suitable associations between colors and concepts for...
false
false
[ "Ruizhen Hu", "Ziqi Ye", "Bin Chen", "Oliver van Kaick", "Hui Huang 0004" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/iSXB800cU7w", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/AU9NoTlEh8U", "icon": "video" } ]
Vis
2,022
SizePairs: Achieving Stable and Balanced Temporal Treemaps using Hierarchical Size-based Pairing
10.1109/TVCG.2022.3209450
We present SizePairs, a new technique to create stable and balanced treemap layouts that visualize values changing over time in hierarchical data. To achieve an overall high-quality result across all time steps in terms of stability and aspect ratio, SizePairs employs a new hierarchical size-based pairing algorithm tha...
false
false
[ "Chang Han", "Jaemin Jo", "Anyi Li", "Bongshin Lee", "Oliver Deussen", "Yunhai Wang" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/UZyjwbsri6c", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/R9ntseofJx0", "icon": "video" } ]
Vis
2,022
SliceTeller: A Data Slice-Driven Approach for Machine Learning Model Validation
10.1109/TVCG.2022.3209465
Real-world machine learning applications need to be thoroughly evaluated to meet critical product requirements for model release, to ensure fairness for different groups or individuals, and to achieve a consistent performance in various scenarios. For example, in autonomous driving, an object classification model shoul...
false
false
[ "Xiaoyu Zhang", "Jorge Henrique Piazentin Ono", "Huan Song", "Liang Gou", "Kwan-Liu Ma", "Ren Liu" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/NOcHFj87uWI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MXCaUK-RBr4", "icon": "video" } ]
Vis
2,022
sMolBoxes: Dataflow Model for Molecular Dynamics Exploration
10.1109/TVCG.2022.3209411
We present sMolBoxes, a dataflow representation for the exploration and analysis of long molecular dynamics (MD) simulations. When MD simulations reach millions of snapshots, a frame-by-frame observation is not feasible anymore. Thus, biochemists rely to a large extent only on quantitative analysis of geometric and phy...
false
false
[ "Pavol Ulbrich", "Manuela Waldner", "Katarína Furmanová", "Sérgio M. Marques", "David Bednar", "Barbora Kozlíková", "Jan Byska" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.11771v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/F8swLXWHwmU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Bu2_1uwUdUY", "icon": "video" } ]
Vis
2,022
Sporthesia: Augmenting Sports Videos Using Natural Language
10.1109/TVCG.2022.3209497
Augmented sports videos, which combine visualizations and video effects to present data in actual scenes, can communicate insights engagingly and thus have been increasingly popular for sports enthusiasts around the world. Yet, creating augmented sports videos remains a challenging task, requiring considerable time and...
false
false
[ "Zhutian Chen", "Qisen Yang", "Xiao Xie", "Johanna Beyer", "Haijun Xia", "Yingcai Wu", "Hanspeter Pfister" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.03434v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Uoi1FlLWk6I", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/IV42XpeiaoQ", "icon": "video" } ]
Vis
2,022
Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts
10.1109/TVCG.2022.3209383
While visualizations are an effective way to represent insights about information, they rarely stand alone. When designing a visualization, text is often added to provide additional context and guidance for the reader. However, there is little experimental evidence to guide designers as to what is the right amount of t...
false
false
[ "Chase Stokes", "Vidya Setlur", "Bridget Cogley", "Arvind Satyanarayan", "Marti A. Hearst" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.01780v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Mpf7EiAlZ08", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/H8kyOnmvXyc", "icon": "video" } ]
Vis
2,022
Studying Early Decision Making with Progressive Bar Charts
10.1109/TVCG.2022.3209426
We conduct a user study to quantify and compare user performance for a value comparison task using four bar chart designs, where the bars show the mean values of data loaded progressively and updated every second (progressive bar charts). Progressive visualization divides different stages of the visualization pipeline—...
false
false
[ "Ameya D. Patil", "Gaëlle Richer", "Christopher Jermaine", "Dominik Moritz", "Jean-Daniel Fekete" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/ygpu92JMhA0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/GiSmTXxoD_0", "icon": "video" } ]
Vis
2,022
Supporting Expressive and Faithful Pictorial Visualization Design with Visual Style Transfer
10.1109/TVCG.2022.3209486
Pictorial visualizations portray data with figurative messages and approximate the audience to the visualization. Previous research on pictorial visualizations has developed authoring tools or generation systems, but their methods are restricted to specific visualization types and templates. Instead, we propose to augm...
false
false
[ "Yang Shi 0007", "Pei Liu", "Siji Chen", "Mengdi Sun", "Nan Cao" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/8Vuf7bUTJMk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/008mZfvIO-E", "icon": "video" } ]
Vis
2,022
Tac-Trainer: A Visual Analytics System for IoT-based Racket Sports Training
10.1109/TVCG.2022.3209352
Conventional racket sports training highly relies on coaches' knowledge and experience, leading to biases in the guidance. To solve this problem, smart wearable devices based on Internet of Things technology (IoT) have been extensively investigated to support data-driven training. Considerable studies introduced method...
false
false
[ "Jiachen Wang", "Ji Ma", "Kangping Hu", "Zheng Zhou", "Hui Zhang 0051", "Xiao Xie", "Yingcai Wu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/Da-OM9bMbC8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/HZ-wn30pEzA", "icon": "video" } ]
Vis
2,022
Taurus: Towards a Unified Force Representation and Universal Solver for Graph Layout
10.1109/TVCG.2022.3209371
Over the past few decades, a large number of graph layout techniques have been proposed for visualizing graphs from various domains. In this paper, we present a general framework, Taurus, for unifying popular techniques such as the spring-electrical model, stress model, and maxent-stress model. It is based on a unified...
false
false
[ "Mingliang Xue", "Zhi Wang", "Fahai Zhong", "Yong Wang 0021", "Mingliang Xu", "Oliver Deussen", "Yunhai Wang" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/DU4edAM92P8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/w1yKkdkoVi8", "icon": "video" } ]
Vis
2,022
Temporal Merge Tree Maps: A Topology-Based Static Visualization for Temporal Scalar Data
10.1109/TVCG.2022.3209387
Creating a static visualization for a time-dependent scalar field is a non-trivial task, yet very insightful as it shows the dynamics in one picture. Existing approaches are based on a linearization of the domain or on feature tracking. Domain linearizations use space-filling curves to place all sample points into a 1D...
false
false
[ "Wiebke Köpp", "Tino Weinkauf" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/JWDj-gwVuv0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/B8q5o0s_TaY", "icon": "video" } ]
Vis
2,022
The Influence of Visual Provenance Representations on Strategies in a Collaborative Hand-off Data Analysis Scenario
10.1109/TVCG.2022.3209495
Conducting data analysis tasks rarely occur in isolation. Especially in intelligence analysis scenarios where different experts contribute knowledge to a shared understanding, members must communicate how insights develop to establish common ground among collaborators. The use of provenance to communicate analytic sens...
false
false
[ "Jeremy E. Block", "Shaghayegh Esmaeili", "Eric D. Ragan", "John R. Goodall", "G. David Richardson" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03900v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/x-A2jxT-yJY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/-Bf7XWXbvLk", "icon": "video" } ]
Vis
2,022
The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences
10.1109/TVCG.2022.3209353
Sports game data is becoming increasingly complex, often consisting of multivariate data such as player performance stats, historical team records, and athletes' positional tracking information. While numerous visual analytics systems have been developed for sports analysts to derive insights, few tools target fans to ...
false
false
[ "Tica Lin", "Zhutian Chen", "Yalong Yang 0001", "Daniele Chiappalupi", "Johanna Beyer", "Hanspeter Pfister" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.00202v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/1hr1t5ZjZ9g", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/6jdNmoT9fAA", "icon": "video" } ]
Vis
2,022
The State of the Art in BGP Visualization Tools: A Mapping of Visualization Techniques to Cyberattack Types
10.1109/TVCG.2022.3209412
Internet routing is largely dependent on Border Gateway Protocol (BGP). However, BGP does not have any inherent authentication or integrity mechanisms that help make it secure. Effective security is challenging or infeasible to implement due to high costs, policy employment in these distributed systems, and unique rout...
false
false
[ "Justin Raynor", "Tarik Crnovrsanin", "Sara Di Bartolomeo", "Laura South", "David Saffo", "Cody Dunne" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/pkqc9", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/EN4msZICZcg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/HRA0KS38DSQ", "icon": "video" } ]
Vis
2,022
Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations
10.1109/TVCG.2022.3209422
The IEEE VIS Conference (VIS) recently rebranded itself as a unified conference and officially positioned itself within the discipline of Data Science. Driven by this movement, we investigated (1) who contributed to VIS, and (2) where VIS stands in the scientific world. We examined the authors and fields of study of 3,...
false
false
[ "Hongtao Hao 0002", "Yumian Cui", "Zhengxiang Wang", "Yea-Seul Kim" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.03772v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/myKlYDJzk-Q", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/6tZqOB_wwFk", "icon": "video" } ]
Vis
2,022
Towards Natural Language-Based Visualization Authoring
10.1109/TVCG.2022.3209357
A key challenge to visualization authoring is the process of getting familiar with the complex user interfaces of authoring tools. Natural Language Interface (NLI) presents promising benefits due to its learnability and usability. However, supporting NLIs for authoring tools requires expertise in natural language proce...
false
false
[ "Yun Wang 0012", "Zhitao Hou", "Leixian Shen", "Tongshuang Wu", "Jiaqi Wang", "He Huang", "Haidong Zhang", "Dongmei Zhang 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.10947v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/fgCDJ2s9k-M", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/tri-4oWpAAg", "icon": "video" } ]
Vis
2,022
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking
10.1109/TVCG.2022.3209403
Law enforcement and domain experts can detect human trafficking (HT) in online escort websites by analyzing suspicious clusters of connected ads. How can we explain clustering results intuitively and interactively, visualizing potential evidence for experts to analyze? We present TrafficVis, the first interface for clu...
false
false
[ "Catalina Vajiac", "Polo Chau", "Andreas M. Olligschlaeger", "Rebecca Mackenzie", "Pratheeksha Nair", "Meng-Chieh Lee", "Yifei Li", "Namyong Park", "Reihaneh Rabbany", "Christos Faloutsos" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/uIQ4tZDadK4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/VTTTk0pfc8M", "icon": "video" } ]
Vis
2,022
Traveler: Navigating Task Parallel Traces for Performance Analysis
10.1109/TVCG.2022.3209375
Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts where even minor performance tweaks can translate into large savings in terms of computational resource use. To aid performance analysis, de...
false
false
[ "Sayef Azad Sakin", "Alex Bigelow", "R. Tohid", "Connor Scully-Allison", "Carlos Scheidegger", "Steven R. Brandt", "Christopher Taylor", "Kevin A. Huck", "Hartmut Kaiser", "Katherine E. Isaacs" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.00109v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/hkWhOtfkLfo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/z4pGQdqGEJ4", "icon": "video" } ]
Vis
2,022
Uncertainty-Aware Multidimensional Scaling
10.1109/TVCG.2022.3209420
We present an extension of multidimensional scaling (MDS) to uncertain data, facilitating uncertainty visualization of multidimensional data. Our approach uses local projection operators that map high-dimensional random vectors to low-dimensional space to formulate a generalized stress. In this way, our generic model s...
false
false
[ "David Hägele", "Tim Krake", "Daniel Weiskopf" ]
[ "BP" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/edxsNZJMVAE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/hMOzEQ1x7jI", "icon": "video" } ]
Vis
2,022
Understanding Barriers to Network Exploration with Visualization: A Report from the Trenches
10.1109/TVCG.2022.3209487
This article reports on an in-depth study that investigates barriers to network exploration with visualizations. Network visualization tools are becoming increasingly popular, but little is known about how analysts plan and engage in the visual exploration of network data—which exploration strategies they employ, and h...
false
false
[ "Mashael AlKadi", "Vanessa Serrano", "James Scott-Brown", "Catherine Plaisant", "Jean-Daniel Fekete", "Uta Hinrichs", "Benjamin Bach" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/Epml77ggwoQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/m5OSeJOOOzo", "icon": "video" } ]
Vis
2,022
Understanding how Designers Find and Use Data Visualization Examples
10.1109/TVCG.2022.3209490
Examples are useful for inspiring ideas and facilitating implementation in visualization design. However, there is little understanding of how visualization designers use examples, and how computational tools may support such activities. In this paper, we contribute an exploratory study of current practices in incorpor...
false
false
[ "Hannah K. Bako", "Xinyi Liu", "Leilani Battle", "Zhicheng Liu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/gwx8P5rMt2s", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yoS0dYyllqI", "icon": "video" } ]
Vis
2,022
Unifying Effects of Direct and Relational Associations for Visual Communication
10.1109/TVCG.2022.3209443
People have expectations about how colors map to concepts in visualizations, and they are better at interpreting visualizations that match their expectations. Traditionally, studies on these expectations (inferred mappings) distinguished distinct factors relevant for visualizations of categorical vs. continuous informa...
false
false
[ "Melissa A. Schoenlein", "Johnny Campos", "Kevin J. Lande", "Laurent Lessard", "Karen B. Schloss" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2209.02782v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/U-YfpqfbUfg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/nwkT-szaoGE", "icon": "video" } ]
Vis
2,022
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing
10.1109/TVCG.2022.3209455
Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite its advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of the execution result of a quantum algorithm, it is crucial to in...
false
false
[ "Shaolun Ruan", "Yong Wang 0021", "Weiwen Jiang", "Ying Mao", "Qiang Guan" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.14135v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/G3AeHSmoYYc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/QWEnGpJAThs", "icon": "video" } ]
Vis
2,022
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
10.1109/TVCG.2022.3209413
We propose VDL-Surrogate, a view-dependent neural-network-latent-based surrogate model for parameter space exploration of ensemble simulations that allows high-resolution visualizations and user-specified visual mappings. Surrogate-enabled parameter space exploration allows domain scientists to preview simulation resul...
false
false
[ "Neng Shi", "Jiayi Xu 0001", "Haoyu Li", "Hanqi Guo 0001", "Jonathan Woodring", "Han-Wei Shen" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.13091v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nP3i5XfMmCQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/YCBLJDno87I", "icon": "video" } ]
Vis
2,022
Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data
10.1109/TVCG.2022.3209378
New highly-multiplexed imaging technologies have enabled the study of tissues in unprecedented detail. These methods are increasingly being applied to understand how cancer cells and immune response change during tumor development, progression, and metastasis, as well as following treatment. Yet, existing analysis appr...
false
false
[ "Simon Warchol", "Robert Krüger", "Ajit Johnson Nirmal", "Giorgio Gaglia", "Jared Jessup", "Cecily C. Ritch", "John Hoffer", "Jeremy Muhlich", "Megan L. Burger", "Tyler Jacks", "Sandro Santagata", "Peter K. Sorger", "Hanspeter Pfister" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/g3xy000UsFo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/J3Vd6SEQrH0", "icon": "video" } ]
Vis
2,022
Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
10.1109/TVCG.2022.3209356
Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth's radiation budget. Simulation modeling is used to interpret the formation and development of contrails. These simulations are computationally intensive and rely on high-performance computing solutions, and the c...
false
false
[ "Nafiul Nipu", "Carla Floricel", "Negar Naghashzadeh", "Roberto Paoli", "G. Elisabeta Marai" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.02321v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/hg0fEqMIwZA", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MzQT1pGOAyw", "icon": "video" } ]
Vis
2,022
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles
10.1109/TVCG.2022.3209404
Recent advances in artificial intelligence largely benefit from better neural network architectures. These architectures are a product of a costly process of trial-and-error. To ease this process, we develop ArchExplorer, a visual analysis method for understanding a neural architecture space and summarizing design prin...
false
false
[ "Jun Yuan 0003", "Mengchen Liu", "Fengyuan Tian", "Shixia Liu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.09665v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ThkSP326kJ8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xvRd7LIOjLA", "icon": "video" } ]
Vis
2,022
Visual Comparison of Language Model Adaptation
10.1109/TVCG.2022.3209458
Neural language models are widely used; however, their model parameters often need to be adapted to the specific domains and tasks of an application, which is time- and resource-consuming. Thus, adapters have recently been introduced as a lightweight alternative for model adaptation. They consist of a small set of task...
false
false
[ "Rita Sevastjanova", "Eren Cakmak", "Shauli Ravfogel", "Ryan Cotterell", "Mennatallah El-Assady" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.08176v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/xChs1wpCnmk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/iYDyaWRhKmU", "icon": "video" } ]
Vis
2,022
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale
10.1109/TVCG.2022.3209466
Data-centric AI has emerged as a new research area to systematically engineer the data to land AI models for real-world applications. As a core method for data-centric AI, data programming helps experts inject domain knowledge into data and label data at scale using carefully designed labeling functions (e.g., heuristi...
false
false
[ "Md. Naimul Hoque", "Wenbin He", "Arvind Kumar Shekar", "Liang Gou", "Ren Liu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/qRkDIc3hd88", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Rq9T84ssE0o", "icon": "video" } ]
Vis
2,022
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators
10.1109/TVCG.2022.3209493
During the COVID-19 pandemic, a number of data visualizations were created to inform the public about the rapidly evolving crisis. Data dashboards, a form of information dissemination used during the pandemic, have facilitated this process by visualizing statistics regarding the number of COVID-19 cases over time. Prio...
false
false
[ "Yixuan Zhang", "Yifan Sun 0002", "Joseph D. Gaggiano", "Neha Kumar", "Clio Andris", "Andrea G. Parker" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2207.12829v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/YAIVmmIm2KI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Ub0_LUxcVHA", "icon": "video" } ]
Vis
2,022
Visualizing Ensemble Predictions of Music Mood
10.1109/TVCG.2022.3209379
Music mood classification has been a challenging problem in comparison with other music classification problems (e.g., genre, composer, or period). One solution for addressing this challenge is to use an ensemble of machine learning models. In this paper, we show that visualization techniques can effectively convey the...
false
false
[ "Zelin Ye", "Min Chen 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2112.07627v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/-nVLuVKEpe4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/AyWvx7mJSXw", "icon": "video" } ]
Vis
2,022
Visualizing the Passage of Time with Video Temporal Pyramids
10.1109/TVCG.2022.3209454
What can we learn about a scene by watching it for months or years? A video recorded over a long timespan will depict interesting phenomena at multiple timescales, but identifying and viewing them presents a challenge. The video is too long to watch in full, and some things are too slow to experience in real-time, such...
false
false
[ "Melissa E. Swift", "Wyatt Ayers", "Sophie Pallanck", "Scott Wehrwein" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2208.11885v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/0YdE0CU2cEw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/58dm1vK2-V4", "icon": "video" } ]
EuroVis
2,022
A Flip-book of Knot Diagrams for Visualizing Surfaces in 4-Space
10.1111/cgf.14545
Just as 2D shadows of 3D curves lose structure where lines cross, 3D graphics projections of smooth 4D topological surfaces are interrupted where one surface intersects itself. They twist, turn, and fold back on themselves, leaving important but hidden features behind the surface sheets. In this paper, we propose a sma...
false
false
[ "Huan Liu", "Hui Zhang" ]
[]
[]
[]
EuroVis
2,022
A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs
10.1111/cgf.14557
Researchers collect large amounts of user interaction data with the goal of mapping user's workflows and behaviors to their high‐level motivations, intuitions, and goals. Although the visual analytics community has proposed numerous taxonomies to facilitate this mapping process, no formal methods exist for systematical...
false
false
[ "Sneha Gathani", "Shayan Monadjemi", "Alvitta Ottley", "Leilani Battle" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2201.03740v2", "icon": "paper" } ]
EuroVis
2,022
A Process Model for Dashboard Onboarding
10.1111/cgf.14558
Dashboards are used ubiquitously to gain and present insights into data by means of interactive visualizations. To bridge the gap between non‐expert dashboard users and potentially complex datasets and/or visualizations, a variety of onboarding strategies are employed, including videos, narration, and interactive tutor...
false
false
[ "Vaishali Dhanoa", "Conny Walchshofer", "Andreas P. Hinterreiter", "Holger Stitz", "M. Eduard Gröller", "Marc Streit" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/gux9w", "icon": "paper" } ]
EuroVis
2,022
A Survey of Visualization and Analysis in High-Resolution Connectomics
10.1111/cgf.14574
The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses to enable new insights into the workings of the brain. Reconstructing and analyzing the Neuronal connectivity, however, relies on many individual steps, starting from high‐resolution data acquisition to automated segmentation, proo...
false
false
[ "Johanna Beyer", "Jakob Troidl", "Saeed Boorboor", "Markus Hadwiger", "Arie E. Kaufman", "Hanspeter Pfister" ]
[]
[]
[]
EuroVis
2,022
A Typology of Guidance Tasks in Mixed-Initiative Visual Analytics Environments
10.1111/cgf.14555
Guidance has been proposed as a conceptual framework to understand how mixed‐initiative visual analytics approaches can actively support users as they solve analytical tasks. While user tasks received a fair share of attention, it is still not completely clear how they could be supported with guidance and how such supp...
false
false
[ "Ignacio Pérez-Messina", "Davide Ceneda", "Mennatallah El-Assady", "Silvia Miksch", "Fabian Sperrle" ]
[]
[]
[]
EuroVis
2,022
AirLens: Multi-Level Visual Exploration of Air Quality Evolution in Urban Agglomerations
10.1111/cgf.14535
The precise prevention and control of air pollution is a great challenge faced by environmental experts in recent years. Understanding the air quality evolution in the urban agglomeration is important for coordinated control of air pollution. However, the complex pollutant interactions between different cities lead to ...
false
false
[ "Dezhan Qu", "Cheng Lv", "Yiming Lin", "Huijie Zhang", "Rong Wang" ]
[]
[]
[]
EuroVis
2,022
An Interactive Approach for Identifying Structure Definitions
10.1111/cgf.14543
Our ability to grasp and understand complex phenomena is essentially based on recognizing structures and relating these to each other. For example, any meteorological description of a weather condition and explanation of its evolution recurs to meteorological structures, such as convection and circulation structures, c...
false
false
[ "Natalia Mikula", "Tom Dörffel", "Daniel Baum", "Hans-Christian Hege" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2112.09066v1", "icon": "paper" } ]
EuroVis
2,022
Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures
10.1111/cgf.14532
High‐resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell substructures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle nei...
false
false
[ "Jakob Troidl", "Corrado Calì", "Eduard Gröller", "Hanspeter Pfister", "Markus Hadwiger", "Johanna Beyer" ]
[]
[]
[]
EuroVis
2,022
Branch Decomposition-Independent Edit Distances for Merge Trees
10.1111/cgf.14547
Edit distances between merge trees of scalar fields have many applications in scientific visualization, such as ensemble analysis, feature tracking or symmetry detection. In this paper, we propose branch mappings, a novel approach to the construction of edit mappings for merge trees. Classic edit mappings match nodes o...
false
false
[ "Florian Wetzels", "Heike Leitte", "Christoph Garth" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2204.02919v1", "icon": "paper" } ]
EuroVis
2,022
Chart Question Answering: State of the Art and Future Directions
10.1111/cgf.14573
Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights. Often people analyze charts to answer questions that they have in mind. Answering such questions can be challenging as they often require a significant amount of perceptual and cognitive e...
false
false
[ "Enamul Hoque", "Parsa Kavehzadeh", "Ahmed Masry" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2205.03966v2", "icon": "paper" } ]
EuroVis
2,022
CorpusVis: Visual Analysis of Digital Sheet Music Collections
10.1111/cgf.14540
Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information. However, applying sophisticated algorithmic methods would require advanced technical expertise that analysts do not necessarily have. Bridg...
false
false
[ "Matthias Miller", "Julius Rauscher", "Daniel A. Keim", "Mennatallah El-Assady" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2203.12663v1", "icon": "paper" } ]
EuroVis
2,022
DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos
10.1111/cgf.14552
Danmu (Danmaku) is a unique social media service in online videos, especially popular in Japan and China, for viewers to write comments while watching videos. The danmu comments are overlaid on the video screen and synchronized to the associated video time, indicating viewers' thoughts of the video clip. This paper int...
false
false
[ "Shuai Chen 0001", "Sihang Li", "Yanda Li", "Junlin Zhu", "Juanjuan Long", "Siming Chen 0001", "Jiawan Zhang", "Xiaoru Yuan" ]
[]
[]
[]
EuroVis
2,022
Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review
10.1111/cgf.14521
Likert scales are often used in visualization evaluations to produce quantitative estimates of subjective attributes, such as ease of use or aesthetic appeal. However, the methods used to collect, analyze, and visualize data collected with Likert scales are inconsistent among evaluations in visualization papers. In thi...
false
false
[ "Laura South", "David Saffo", "Olga Vitek", "Cody Dunne", "Michelle A. Borkin" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/6f3zs", "icon": "paper" } ]
EuroVis
2,022
Exploring Effects of Ecological Visual Analytics Interfaces on Experts' and Novices' Decision-Making Processes: A Case Study in Air Traffic Control
10.1111/cgf.14554
Operational demands in safety‐critical systems impose a risk of failure to the operators especially during urgent situations. Operators of safety‐critical systems learn to make decisions effectively throughout extensive training programs and many years of experience. In the domain of air traffic control, expensive trai...
false
false
[ "Elmira Zohrevandi", "Carl A. L. Westin", "Katerina Vrotsou", "Jonas Lundberg" ]
[]
[]
[]
EuroVis
2,022
Exploring How Visualization Design and Situatedness Evoke Compassion in the Wild
10.1111/cgf.14553
This work explores how the design and situatedness of data representations affect people's compassion with a case study concerning harassment episodes in a public place. Results contribute to advancing the understanding of how visualizations can evoke emotions and their impact on prosocial behaviors, such as helping pe...
false
false
[ "Luiz Morais", "Nazareno Andrade", "D. Sousa" ]
[]
[]
[]
EuroVis
2,022
Exploring Multivariate Event Sequences with an Interactive Similarity Builder
10.1111/cgf.14539
Similarity‐based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging because of the heterogeneity introduced by numerous attributes with different data formats, coupled with...
false
false
[ "Shaobin Xu", "Minghui Sun", "Zhengtai Zhang", "Hao Xue" ]
[]
[]
[]
EuroVis
2,022
How accessible is my visualization? Evaluating visualization accessibility with Chartability
10.1111/cgf.14522
Novices and experts have struggled to evaluate the accessibility of data visualizations because there are no common shared guidelines across environments, platforms, and contexts in which data visualizations are authored. Between non‐specific standards bodies like WCAG, emerging research, and guidelines from specific c...
false
false
[ "Frank Elavsky", "Cynthia L. Bennett", "Dominik Moritz" ]
[]
[]
[]
EuroVis
2,022
Hybrid Touch/Tangible Spatial Selection in Augmented Reality
10.1111/cgf.14550
We study tangible touch tablets combined with Augmented Reality Head‐Mounted Displays (AR‐HMDs) to perform spatial 3D selections. We are primarily interested in the exploration of 3D unstructured datasets such as cloud points or volumetric datasets. AR‐HMDs immerse users by showing datasets stereoscopically, and tablet...
false
false
[ "Mickaël Sereno", "Stéphane Gosset", "Lonni Besançon", "Tobias Isenberg 0001" ]
[]
[]
[]
EuroVis
2,022
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters
10.1111/cgf.14531
Projection algorithms such as t‐SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully. Unfortunately, iteratively recomputing projections to find the optimal hyperparameter values is computationally intensive and unintuitive due to the stochas...
false
false
[ "Gabriel Appleby", "Mateus Espadoto", "Rui Chen", "Samuel Goree", "Alexandru C. Telea", "Erik W. Anderson", "Remco Chang" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2106.13777v1", "icon": "paper" } ]
EuroVis
2,022
Infographics Wizard: Flexible Infographics Authoring and Design Exploration
10.1111/cgf.14527
Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non‐experts and time‐consuming, even for professional designers. With the help of designers, we propose a semi‐automated infographic framework ...
false
false
[ "Anjul Tyagi", "Jian Zhao 0010", "Pushkar Patel", "Swasti Khurana", "Klaus Mueller 0001" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2204.09904v2", "icon": "paper" } ]
EuroVis
2,022
Interactively Assessing Disentanglement in GANs
10.1111/cgf.14524
Generative adversarial networks (GAN) have witnessed tremendous growth in recent years, demonstrating wide applicability in many domains. However, GANs remain notoriously difficult for people to interpret, particularly for modern GANs capable of generating photo‐realistic imagery. In this work we contribute a visual an...
false
false
[ "Sangwon Jeong", "Shusen Liu 0001", "Matthew Berger" ]
[]
[]
[]
EuroVis
2,022
Investigating the Role and Interplay of Narrations and Animations in Data Videos
10.1111/cgf.14560
Combining data visualizations, animations, and audio narrations, data videos can increase viewer engagement and effectively communicate data stories. Due to their increasing popularity, data videos have gained growing attention from the visualization research community. However, recent research on data videos has focus...
false
false
[ "Hao Cheng", "Junhong Wang", "Yun Wang 0012", "Bongshin Lee", "Haidong Zhang", "Dongmei Zhang 0001" ]
[]
[]
[]