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Vis
2,023
Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer Functions
10.1109/TVCG.2023.3327371
The transfer function is crucial for direct volume rendering (DVR) to create an informative visual representation of volumetric data. However, manually adjusting the transfer function to achieve the desired DVR result can be time-consuming and unintuitive. In this paper, we propose Differentiable Design Galleries, an i...
false
false
[ "Bo Pan", "Jiaying Lu", "Haoxuan Li", "Weifeng Chen 0003", "Yiyao Wang", "Minfeng Zhu", "Chenhao Yu", "Wei Chen 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/U2tRFLO5jtk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/oErDe_2ScnU", "icon": "video" } ]
Vis
2,023
DIVI: Dynamically Interactive Visualization
10.1109/TVCG.2023.3327172
Dynamically Interactive Visualization (DIVI) is a novel approach for orchestrating interactions within and across static visualizations. DIVI deconstructs Scalable Vector Graphics charts at runtime to infer content and coordinate user input, decoupling interaction from specification logic. This decoupling allows intera...
false
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[ "Luke S. Snyder", "Jeffrey Heer" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2310.17814v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/VKOqZ2iihnE", "icon": "video" } ]
Vis
2,023
Dr. KID: Direct Remeshing and K-Set Isometric Decomposition for Scalable Physicalization of Organic Shapes
10.1109/TVCG.2023.3326595
Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-shaped organic models in a puzzle fashion. The algorithm begins with creating a simple, regular triangular surface mesh of organic shapes, followed by iterative K-means clustering and remeshing. For clustering, we need similarit...
false
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[ "Dawar Khan", "Ciril Bohak", "Ivan Viola" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.02941v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Kv9V69zSsgg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/8v156eZrfTQ", "icon": "video" } ]
Vis
2,023
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization
10.1109/TVCG.2023.3326583
Designing responsive visualizations for various screen types can be tedious as authors must manage multiple chart versions across design iterations. Automated approaches for responsive visualization must take into account the user's need for agency in exploring possible design ideas and applying customizations based on...
false
false
[ "Hyeok Kim", "Ryan A. Rossi", "Jessica Hullman", "Jane Hoffswell" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.05136v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/kQr6UJQF40g", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/GYIqimSJwiY", "icon": "video" } ]
Vis
2,023
Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation
10.1109/TVCG.2023.3327369
We present an analysis of the representation of gender as a data dimension in data visualizations and propose a set of considerations around visual variables and annotations for gender-related data. Gender is a common demographic dimension of data collected from study or survey participants, passengers, or customers, a...
false
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[ "Florent Cabric", "Margrét Vilborg Bjarnadóttir", "Meng Ling", "Guðbjörg Linda Rafnsdóttir", "Petra Isenberg" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.14415v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nVE_sjdWUok", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/lqImDkBWpe8", "icon": "video" } ]
Vis
2,023
Embellishments Revisited: Perceptions of Embellished Visualisations Through the Viewer's Lens
10.1109/TVCG.2023.3326914
Embellishments are features commonly used in everyday visualisations which are demonstrated to enhance assimilation and memorability. Despite their popularity, little is known about their impact on enticing readers to explore visualisations. To address this gap, we conducted 18 interviews with a diverse group of partic...
false
false
[ "Muna Alebri", "Enrico Costanza", "Georgia Panagiotidou", "Duncan P. Brumby" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/-DSGK_yrsL0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/zKUENG1MSzA", "icon": "video" } ]
Vis
2,023
EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis
10.1109/TVCG.2023.3327150
Recent work has shown that when both the chart and caption emphasize the same aspects of the data, readers tend to remember the doubly-emphasized features as takeaways; when there is a mismatch, readers rely on the chart to form takeaways and can miss information in the caption text. Through a survey of 280 chart-capti...
false
false
[ "Daehyun Kim 0005", "Seulgi Choi", "Juho Kim", "Vidya Setlur", "Maneesh Agrawala" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.13858v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uk-gt_dGXDI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/moe_-ROvDsc", "icon": "video" } ]
Vis
2,023
Enthusiastic and Grounded, Avoidant and Cautious: Understanding Public Receptivity to Data and Visualizations
10.1109/TVCG.2023.3326917
Despite an abundance of open data initiatives aimed to inform and empower “general” audiences, we still know little about the ways people outside of traditional data analysis communities experience and engage with public data and visualizations. To investigate this gap, we present results from an in-depth qualitative i...
false
false
[ "Helen Ai He", "Jagoda Walny", "Sonja Thoma", "Sheelagh Carpendale", "Wesley Willett" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/mpq32", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/fwOwzoapPMw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/QvGw-9SIL54", "icon": "video" } ]
Vis
2,023
EVM: Incorporating Model Checking into Exploratory Visual Analysis
10.1109/TVCG.2023.3326516
Visual analytics (VA) tools support data exploration by helping analysts quickly and iteratively generate views of data which reveal interesting patterns. However, these tools seldom enable explicit checks of the resulting interpretations of data—e.g., whether patterns can be accounted for by a model that implies a par...
false
false
[ "Alex Kale", "Ziyang Guo", "Xiaoli Qiao", "Jeffrey Heer", "Jessica Hullman" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.13024v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/fGtd0CzXm0w", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MYJ-1sKgxbI", "icon": "video" } ]
Vis
2,023
Explore Your Network in Minutes: A Rapid Prototyping Toolkit for Understanding Neural Networks with Visual Analytics
10.1109/TVCG.2023.3326575
Neural networks attract significant attention in almost every field due to their widespread applications in various tasks. However, developers often struggle with debugging due to the black-box nature of neural networks. Visual analytics provides an intuitive way for developers to understand the hidden states and under...
false
false
[ "Shaoxuan Lai", "Wanna Luan", "Jun Tao 0002" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/tZFpiomSRTE", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/WcAWOeqiRfo", "icon": "video" } ]
Vis
2,023
Extract and Characterize Hairpin Vortices in Turbulent Flows
10.1109/TVCG.2023.3326603
Hairpin vortices are one of the most important vortical structures in turbulent flows. Extracting and characterizing hairpin vortices provides useful insight into many behaviors in turbulent flows. However, hairpin vortices have complex configurations and might be entangled with other vortices, making their extraction ...
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[ "Adeel Zafar", "Di Yang", "Guoning Chen" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.06283v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Gemap7uU6_o", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/TpJUFmReA-M", "icon": "video" } ]
Vis
2,023
ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs
10.1109/TVCG.2023.3326526
Over the last decade merge trees have been proven to support a plethora of visualization and analysis tasks since they effectively abstract complex datasets. This paper describes the ExTreeM-Algorithm: A scalable algorithm for the computation of merge trees via extremum graphs. The core idea of ExTreeM is to first deri...
false
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[ "Jonas Lukasczyk", "Michael Will", "Florian Wetzels", "Gunther H. Weber", "Christoph Garth" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/w9bKW5O_Jf0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/AVHlMbYJnNk", "icon": "video" } ]
Vis
2,023
Fast Compressed Segmentation Volumes for Scientific Visualization
10.1109/TVCG.2023.3326573
Voxel-based segmentation volumes often store a large number of labels and voxels, and the resulting amount of data can make storage, transfer, and interactive visualization difficult. We present a lossless compression technique which addresses these challenges. It processes individual small bricks of a segmentation vol...
false
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[ "Max Piochowiak", "Carsten Dachsbacher" ]
[ "BP" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.16619v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/2BN2Lktbu4U", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/pZfV6o7V7SU", "icon": "video" } ]
Vis
2,023
From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision Making
10.1109/TVCG.2023.3326593
In the face of complex decisions, people often engage in a three-stage process that spans from (1) exploring and analyzing pertinent information (intelligence); (2) generating and exploring alternative options (design); and ultimately culminating in (3) selecting the optimal decision by evaluating discerning criteria (...
false
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[ "Emre Oral", "Ria Chawla", "Michel Wijkstra", "Narges Mahyar", "Evanthia Dimara" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.08326v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/X9M-YXH3vrI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/tgE2x-2mq78", "icon": "video" } ]
Vis
2,023
From Shock to Shift: Data Visualization for Constructive Climate Journalism
10.1109/TVCG.2023.3327185
We present a multi-dimensional, multi-level, and multi-channel approach to data visualization for the purpose of constructive climate journalism. Data visualization has assumed a central role in environmental journalism and is often used in data stories to convey the dramatic consequences of climate change and other ec...
false
false
[ "Francesca Morini", "Anna Eschenbacher", "Johanna Hartmann", "Marian Dörk" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/Q_G6d5enbZI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/35q-7hUec0Y", "icon": "video" } ]
Vis
2,023
FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations
10.1109/TVCG.2023.3327077
The provision of fire services plays a vital role in ensuring the safety of residents' lives and property. The spatial layout of fire stations is closely linked to the efficiency of fire rescue operations. Traditional approaches have primarily relied on mathematical planning models to generate appropriate layouts by su...
false
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[ "Longfei Chen", "He Wang", "Yang Ouyang", "Yang Zhou", "Naiyu Wang", "Quan Li" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12227v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/W0zFHKKAPs0", "icon": "video" } ]
Vis
2,023
GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation
10.1109/TVCG.2023.3327359
Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of analyses focus on answering why questions about underlying spatial phenomena, e.g., why is crime higher in this locale, why do children in o...
false
false
[ "Fan Lei", "Yuxin Ma", "A. Stewart Fotheringham", "Elizabeth A. Mack", "Ziqi Li", "Mehak Sachdeva", "Sarah Bardin", "Ross Maciejewski" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.13588v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/mkM05Rwi8Pw", "icon": "video" } ]
Vis
2,023
ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics
10.1109/TVCG.2023.3327195
The grammar of graphics is ubiquitous, providing the foundation for a variety of popular visualization tools and toolkits. Yet support for uncertainty visualization in the grammar graphics—beyond simple variations of error bars, uncertainty bands, and density plots—remains rudimentary. Research in uncertainty visualiza...
false
false
[ "Matthew Kay 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/2gsz6", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/j_0vSP7HldQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/htJORACnb54", "icon": "video" } ]
Vis
2,023
Global Topology of 3D Symmetric Tensor Fields
10.1109/TVCG.2023.3326933
There have been recent advances in the analysis and visualization of 3D symmetric tensor fields, with a focus on the robust extraction of tensor field topology. However, topological features such as degenerate curves and neutral surfaces do not live in isolation. Instead, they intriguingly interact with each other. In ...
false
false
[ "Shih-Hsuan Hung", "Yue Zhang 0009", "Eugene Zhang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.01863v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/T_uen4YkRxg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/tXiELTWc-lA", "icon": "video" } ]
Vis
2,023
Guaranteed Visibility in Scatterplots with Tolerance
10.1109/TVCG.2023.3326596
In 2D visualizations, visibility of every datum's representation is crucial to ease the completion of visual tasks. Such a guarantee is barely respected in complex visualizations, mainly because of overdraws between datum representations that hide parts of the information (e.g., outliers). The literature proposes vario...
false
false
[ "Loann Giovannangeli", "Frédéric Lalanne", "Romain Giot", "Romain Bourqui" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/StvLgjDdixU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/4rXA8Nn2M70", "icon": "video" } ]
Vis
2,023
Guided Visual Analytics for Image Selection in Time and Space
10.1109/TVCG.2023.3326572
Unexploded Ordnance (UXO) detection, the identification of remnant active bombs buried underground from archival aerial images, implies a complex workflow involving decision-making at each stage. An essential phase in UXO detection is the task of image selection, where a small subset of images must be chosen from archi...
false
false
[ "Ignacio Pérez-Messina", "Davide Ceneda", "Silvia Miksch" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/3P6-uz4Cun8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/HzGQ6yczMPI", "icon": "video" } ]
Vis
2,023
Handling Non-Visible Referents in Situated Visualizations
10.1109/TVCG.2023.3327361
Situated visualizations are a type of visualization where data is presented next to its physical referent (i.e., the physical object, space, or person it refers to), often using augmented-reality displays. While situated visualizations can be beneficial in various contexts and have received research attention, they are...
false
false
[ "Ambre Assor", "Arnaud Prouzeau", "Martin Hachet", "Pierre Dragicevic" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/tvE8z_llpqg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/5GViRMjaUoU", "icon": "video" } ]
Vis
2,023
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data
10.1109/TVCG.2023.3326943
The correlation between children's personal and family characteristics (e.g., demographics and socioeconomic status) and their physical and mental health status has been extensively studied across various research domains, such as public health, medicine, and data science. Such studies can provide insights into the und...
false
false
[ "Zhihan Jiang", "Handi Chen", "Rui Zhou", "Jing Deng", "Xinchen Zhang", "Running Zhao", "Cong Xie", "Yifang Wang 0001", "Edith C. H. Ngai" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12242v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/C95-YcpnIr8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/sYpgwC54wcU", "icon": "video" } ]
Vis
2,023
Heuristics for Supporting Cooperative Dashboard Design
10.1109/TVCG.2023.3327158
Dashboards are no longer mere static displays of metrics; through functionality such as interaction and storytelling, they have evolved to support analytic and communicative goals like monitoring and reporting. Existing dashboard design guidelines, however, are often unable to account for this expanded scope as they la...
false
false
[ "Vidya Setlur", "Michael Correll", "Arvind Satyanarayan", "Melanie Tory" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.04514v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ESoh9DNeFgs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/zDR8CbsQznM", "icon": "video" } ]
Vis
2,023
HoopInSight: Analyzing and Comparing Basketball Shooting Performance Through Visualization
10.1109/TVCG.2023.3326910
Data visualization has the power to revolutionize sports. For example, the rise of shot maps has changed basketball strategy by visually illustrating where “good/bad” shots are taken from. As a result, professional basketball teams today take shots from very different positions on the court than they did 20 years ago. ...
false
false
[ "Yu Fu", "John T. Stasko" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/LnZdCpbHWt4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/lSxRinkaVH4", "icon": "video" } ]
Vis
2,023
Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification
10.1109/TVCG.2023.3326919
How do people internalize visualizations: as images or information? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visualizations in memory) and how memory encoding affects its retrieval. This exploratory work examines the influence of various design elements ...
false
false
[ "Anjana Arunkumar", "Lace M. K. Padilla", "Gi-Yeul Bae", "Chris Bryan" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.10571v2", "icon": "paper" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/XaOcp1Cdb04", "icon": "video" } ]
Vis
2,023
InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks
10.1109/TVCG.2023.3327170
Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document. Effective documentation for explaining chart findings during the exploration process is essential as it helps recall and share data analysis. ...
false
false
[ "Yanna Lin", "Haotian Li 0001", "Leni Yang", "Aoyu Wu", "Huamin Qu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.07922v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/pNxS5x-zt5A", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/9aUrbFWiaTk", "icon": "video" } ]
Vis
2,023
InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology
10.1109/TVCG.2023.3327387
Science has long been viewed as a key driver of economic growth and rising standards of living. Knowledge about how scientific advances support marketplace inventions is therefore essential for understanding the role of science in propelling real-world applications and technological progress. The increasing availabilit...
false
false
[ "Yifang Wang 0001", "Yifan Qian", "Xiaoyu Qi", "Nan Cao 0001", "Dashun Wang" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.02933v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/a-pCg9jrhFg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/06ZsvuyjtjA", "icon": "video" } ]
Vis
2,023
Interactive Design and Optics-Based Visualization of Arbitrary Non-Euclidean Kaleidoscopic Orbifolds
10.1109/TVCG.2023.3326927
Orbifolds are a modern mathematical concept that arises in the research of hyperbolic geometry with applications in computer graphics and visualization. In this paper, we make use of rooms with mirrors as the visual metaphor for orbifolds. Given any arbitrary two-dimensional kaleidoscopic orbifold, we provide an algori...
false
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[ "Jinta Zheng", "Eugene Zhang", "Yue Zhang 0009" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.01853v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/HZauUsDoKao", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/C0cjlLlOM_0", "icon": "video" } ]
Vis
2,023
InvVis: Large-Scale Data Embedding for Invertible Visualization
10.1109/TVCG.2023.3326597
We present InvVis, a new approach for invertible visualization, which is reconstructing or further modifying a visualization from an image. InvVis allows the embedding of a significant amount of data, such as chart data, chart information, source code, etc., into visualization images. The encoded image is perceptually ...
false
false
[ "Huayuan Ye", "Chenhui Li", "Yang Li", "Changbo Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.16176v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/O6gAlsCxrWU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/SalRGyajgds", "icon": "video" } ]
Vis
2,023
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
10.1109/TVCG.2023.3326904
This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases. Through this study, we identify critical challenges experienced by KG practitioners when creating, exploring, and analyzing KGs that could be al...
false
false
[ "Harry X. Li", "Gabriel Appleby", "Camelia Daniela Brumar", "Remco Chang", "Ashley Suh 0001" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.01311v3", "icon": "paper" } ]
Vis
2,023
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization
10.1109/TVCG.2023.3326569
Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent dimensionality reduction algorithm, topic models can be used for deriving spatializations for text corpora as two-dimensional scatter plots, reflecting semantic similarity b...
false
false
[ "Daniel Atzberger", "Tim Cech", "Matthias Trapp 0001", "Rico Richter", "Willy Scheibel", "Jürgen Döllner", "Tobias Schreck" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.11770v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/gLMIy-ea8qU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/E2EacKmpdhI", "icon": "video" } ]
Vis
2,023
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
10.1109/TVCG.2023.3326913
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in an engaging and informative manner. Extensive studies have been devoted to developing authoring tools to simplify the creation of pictorial visualizations. However, mainstream works follo...
false
false
[ "Shishi Xiao", "Suizi Huang", "Yue Lin", "Yilin Ye", "Wei Zeng" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.14630v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CiwtQhI1o5E", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/OXno64ZJhoE", "icon": "video" } ]
Vis
2,023
Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
10.1109/TVCG.2023.3326929
Simulation-based Medical Education (SBME) has been developed as a cost-effective means of enhancing the diagnostic skills of novice physicians and interns, thereby mitigating the need for resource-intensive mentor-apprentice training. However, feedback provided in most SBME is often directed towards improving the opera...
false
false
[ "Yang Ouyang", "Yuchen Wu", "He Wang", "Chenyang Zhang", "Furui Cheng", "Chang Jiang", "Lixia Jin", "Yuanwu Cao", "Quan Li" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12199v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Kpvq91vRi4Q", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/RAOZsUGql9E", "icon": "video" } ]
Vis
2,023
LiberRoad: Probing into the Journey of Chinese Classics Through Visual Analytics
10.1109/TVCG.2023.3326944
Books act as a crucial carrier of cultural dissemination in ancient times. This work involves joint efforts between visualization and humanities researchers, aiming at building a holistic view of the cultural exchange and integration between China and Japan brought about by the overseas circulation of Chinese classics....
false
false
[ "Yuhan Guo", "Yuchu Luo", "Keer Lu", "Linfang Li", "Haizheng Yang", "Xiaoru Yuan" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/rblrPx4OGPU", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/h7Hxc8765ag", "icon": "video" } ]
Vis
2,023
LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce
10.1109/TVCG.2023.3326911
Livestream e-commerce integrates live streaming and online shopping, allowing viewers to make purchases while watching. However, effective marketing strategies remain a challenge due to limited empirical research and subjective biases from the absence of quantitative data. Current tools fail to capture the interdepende...
false
false
[ "Yuchen Wu", "Yuansong Xu", "Shenghan Gao", "Xingbo Wang 0001", "Wenkai Song", "Zhiheng Nie", "Xiaomeng Fan", "Quan Li" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12213v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/BroIyMJvTmc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/G_ofhrgeANw", "icon": "video" } ]
Vis
2,023
ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data
10.1109/TVCG.2023.3326582
Exploration and analysis of high-dimensional data are important tasks in many fields that produce large and complex data, like the financial sector, systems biology, or cultural heritage. Tailor-made visual analytics software is developed for each specific application, limiting their applicability in other fields. Howe...
false
false
[ "Alexander Vieth", "Thomas Kroes", "Julian Thijssen", "Baldur van Lew", "Jeroen Eggermont", "Soumyadeep Basu", "Elmar Eisemann", "Anna Vilanova", "Thomas Höllt", "Boudewijn P. F. Lelieveldt" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.01751v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KFUyjH8dBsk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/zR0CAUMdGEM", "icon": "video" } ]
Vis
2,023
Marjorie: Visualizing Type 1 Diabetes Data to Support Pattern Exploration
10.1109/TVCG.2023.3326936
In this work we propose Marjorie, a visual analytics approach to address the challenge of analyzing patients' diabetes data during brief regular appointments with their diabetologists. Designed in consultation with diabetologists, Marjorie uses a combination of visual and algorithmic methods to support the exploration ...
false
false
[ "Anna Scimone", "Klaus Eckelt", "Marc Streit", "Andreas P. Hinterreiter" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/caj2n", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/zOfOEm4NU3g", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MYspNQH2fi8", "icon": "video" } ]
Vis
2,023
Merge Tree Geodesics and Barycenters with Path Mappings
10.1109/TVCG.2023.3326601
Comparative visualization of scalar fields is often facilitated using similarity measures such as edit distances. In this paper, we describe a novel approach for similarity analysis of scalar fields that combines two recently introduced techniques: Wasserstein geodesics/barycenters as well as path mappings, a branch de...
false
false
[ "Florian Wetzels", "Mathieu Pont", "Julien Tierny", "Christoph Garth" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03672v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/vgeBm-pPER0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/bybxAFqWovA", "icon": "video" } ]
Vis
2,023
MeTACAST: Target- and Context-Aware Spatial Selection in VR
10.1109/TVCG.2023.3326517
We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a wide range of data features and complex scenarios. Each technique is designed to be adjusted to particular selection intents: the selection...
false
false
[ "Lixiang Zhao", "Tobias Isenberg 0001", "Fuqi Xie", "Hai-Ning Liang", "Lingyun Yu 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03616v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/rPIlDZSqKs4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/cVDWVGbMTc8", "icon": "video" } ]
Vis
2,023
Metrics-Based Evaluation and Comparison of Visualization Notations
10.1109/TVCG.2023.3326907
A visualization notation is a recurring pattern of symbols used to author specifications of visualizations, from data transformation to visual mapping. Programmatic notations use symbols defined by grammars or domain-specific languages (e.g. ggplot2, dplyr, Vega-Lite) or libraries (e.g. Matplotlib, Pandas). Designers a...
false
false
[ "Nicolas Kruchten", "Andrew M. McNutt", "Michael J. McGuffin" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.16353v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/pwkYONAD3e0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/ZAFdNC4SSr8", "icon": "video" } ]
Vis
2,023
MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations
10.1109/TVCG.2023.3326584
Molecular Dynamics (MD) simulations are ubiquitous in cutting-edge physio-chemical research. They provide critical insights into how a physical system evolves over time given a model of interatomic interactions. Understanding a system's evolution is key to selecting the best candidates for new drugs, materials for manu...
false
false
[ "Rostyslav Hnatyshyn", "Jieqiong Zhao", "Danny Perez", "James P. Ahrens", "Ross Maciejewski" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.11724v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/9tz_7aRFP5o", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/VAxMeWR-1IA", "icon": "video" } ]
Vis
2,023
Mosaic: An Architecture for Scalable & Interoperable Data Views
10.1109/TVCG.2023.3327189
Mosaic is an architecture for greater scalability, extensibility, and interoperability of interactive data views. Mosaic decouples data processing from specification logic: clients publish their data needs as declarative queries that are then managed and automatically optimized by a coordinator that proxies access to a...
false
false
[ "Jeffrey Heer", "Dominik Moritz" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/4VPQmScA4Fg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/txIvM1dA3EM", "icon": "video" } ]
Vis
2,023
My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning
10.1109/TVCG.2023.3327192
Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems. Visualization technology can support stakeholders in understanding and evaluatin...
false
false
[ "Aimen Gaba", "Zhanna Kaufman", "Jason Cheung", "Marie Shvakel", "Kyle Wm. Hall", "Yuriy Brun", "Cindy Xiong Bearfield" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03299v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CsugZupQSX0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/sjnUF7NZL14", "icon": "video" } ]
Vis
2,023
Mystique: Deconstructing SVG Charts for Layout Reuse
10.1109/TVCG.2023.3327354
To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusable components, such as encodings. However, existing deconstruction approaches primarily focus on chart styles, handling only basic layouts. ...
false
false
[ "Chen Chen", "Bongshin Lee", "Yunhai Wang", "Yunjeong Chang", "Zhicheng Liu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.13567v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Wd8PGfKSsSM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/gP8a-DNLhN0", "icon": "video" } ]
Vis
2,023
NL2Color: Refining Color Palettes for Charts with Natural Language
10.1109/TVCG.2023.3326522
Choice of color is critical to creating effective charts with an engaging, enjoyable, and informative reading experience. However, designing a good color palette for a chart is a challenging task for novice users who lack related design expertise. For example, they often find it difficult to articulate their abstract i...
false
false
[ "Chuhan Shi", "Weiwei Cui", "Chengzhong Liu", "Chengbo Zheng", "Haidong Zhang", "Qiong Luo 0001", "Xiaojuan Ma" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/DdahFCNJnWY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/mnYexe0jdAI", "icon": "video" } ]
Vis
2,023
OldVisOnline: Curating a Dataset of Historical Visualizations
10.1109/TVCG.2023.3326908
With the increasing adoption of digitization, more and more historical visualizations created hundreds of years ago are accessible in digital libraries online. It provides a unique opportunity for visualization and history research. Meanwhile, there is no large-scale digital collection dedicated to historical visualiza...
false
false
[ "Yu Zhang 0043", "Ruike Jiang", "Liwenhan Xie", "Yuheng Zhao", "Can Liu 0004", "Tianhong Ding", "Siming Chen 0001", "Xiaoru Yuan" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.16053v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/qU9cXKv0Dzk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/ZyKijYzleR4", "icon": "video" } ]
Vis
2,023
OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples
10.1109/TVCG.2023.3326577
Open-world object detection (OWOD) is an emerging computer vision problem that involves not only the identification of predefined object classes, like what general object detectors do, but also detects new unknown objects simultaneously. Recently, several end-to-end deep learning models have been proposed to address th...
false
false
[ "Suphanut Jamonnak", "Jiajing Guo", "Wenbin He", "Liang Gou", "Liu Ren" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/QNub6PYMp1k", "icon": "video" } ]
Vis
2,023
Perception of Line Attributes for Visualization
10.1109/TVCG.2023.3326523
Line attributes such as width and dashing are commonly used to encode information. However, many questions on the perception of line attributes remain, such as how many levels of attribute variation can be distinguished or which line attributes are the preferred choices for which tasks. We conducted three studies to de...
false
false
[ "Anna Sterzik", "Nils Lichtenberg", "Jana Wilms", "Michael Krone", "Douglas W. Cunningham", "Kai Lawonn" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.04150v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/O-mD127e7nY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/BwN9YtwhkcM", "icon": "video" } ]
Vis
2,023
Perceptually Uniform Construction of Illustrative Textures
10.1109/TVCG.2023.3326574
Illustrative textures, such as stippling or hatching, were predominantly used as an alternative to conventional Phong rendering. Recently, the potential of encoding information on surfaces or maps using different densities has also been recognized. This has the significant advantage that additional color can be used as...
false
false
[ "Anna Sterzik", "Monique Meuschke", "Douglas W. Cunningham", "Kai Lawonn" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.03644v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/CGu5KzFO7-w", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/pWsjetlz5pQ", "icon": "video" } ]
Vis
2,023
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination
10.1109/TVCG.2023.3327107
Volume data is commonly found in many scientific disciplines, like medicine, physics, and biology. Experts rely on robust scientific visualization techniques to extract valuable insights from the data. Recent years have shown path tracing to be the preferred approach for volumetric rendering, given its high levels of r...
false
false
[ "David Bauer", "Qi Wu 0015", "Kwan-Liu Ma" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.07338v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Q_c9v8F6BwM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/CSWbuK0rwoc", "icon": "video" } ]
Vis
2,023
Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization
10.1109/TVCG.2023.3326512
While we typically focus on data visualization as a tool for facilitating cognitive tasks (e.g. learning facts, making decisions), we know relatively little about their second-order impacts on our opinions, attitudes, and values. For example, could design or framing choices interact with viewers' social cognitive biase...
false
false
[ "Eli Holder", "Cindy Xiong Bearfield" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.00690v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/RmrWjeji25Y", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/_Ux-vx35Iu0", "icon": "video" } ]
Vis
2,023
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
10.1109/TVCG.2023.3327168
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images can be challenging due to the complexity and ambiguity of natural language. This researc...
false
false
[ "Yingchaojie Feng", "Xingbo Wang 0001", "Kamkwai Wong", "Sijia Wang", "Yuhong Lu", "Minfeng Zhu", "Baicheng Wang", "Wei Chen 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.09036v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/zO6bF0BPSQQ", "icon": "video" } ]
Vis
2,023
ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime
10.1109/TVCG.2023.3326514
Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are complex tools that require specialized training and laborious setup and are challenging even for weather experts. Moreover, weather simulations are data-intensive computations a...
false
false
[ "Carolina Veiga Ferreira de Souza", "Suzanna Maria Bonnet", "Daniel de Oliveira 0001", "Márcio Cataldi", "Fabio Miranda 0001", "Marcos Lage" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.05019v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/tW6WzsnZXE8", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/wVpLwvVA5XE", "icon": "video" } ]
Vis
2,023
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data
10.1109/TVCG.2023.3327171
Although many deep-learning-based super-resolution approaches have been proposed in recent years, because no ground truth is available in the inference stage, few can quantify the errors and uncertainties of the super-resolved results. For scientific visualization applications, however, conveying uncertainties of the r...
false
false
[ "Jingyi Shen", "Han-Wei Shen" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.04605v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/_7X25uEUyz0", "icon": "video" } ]
Vis
2,023
QEVIS: Multi-Grained Visualization of Distributed Query Execution
10.1109/TVCG.2023.3326930
Distributed query processing systems such as Apache Hive and Spark are widely-used in many organizations for large-scale data analytics. Analyzing and understanding the query execution process of these systems are daily routines for engineers and crucial for identifying performance problems, optimizing system configura...
false
false
[ "Qiaomu Shen", "Zhengxin You", "Xiao Yan 0002", "Chaozu Zhang", "Ke Xu", "Dan Zeng 0002", "Jianbin Qin", "Bo Tang 0016" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/pg5fqxrqgFc", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/fYXKIJmLs0g", "icon": "video" } ]
Vis
2,023
Quantivine: A Visualization Approach for Large-Scale Quantum Circuit Representation and Analysis
10.1109/TVCG.2023.3327148
Quantum computing is a rapidly evolving field that enables exponential speed-up over classical algorithms. At the heart of this revolutionary technology are quantum circuits, which serve as vital tools for implementing, analyzing, and optimizing quantum algorithms. Recent advancements in quantum computing and the incre...
false
false
[ "Zhen Wen", "Yihan Liu", "Siwei Tan", "Jieyi Chen", "Minfeng Zhu", "Dongming Han", "Jianwei Yin", "Mingliang Xu", "Wei Chen 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.08969v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/jRw1l1VCzjY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Zpy-YQEnPS4", "icon": "video" } ]
Vis
2,023
Radial Icicle Tree (RIT): Node Separation and Area Constancy
10.1109/TVCG.2023.3327178
Icicles and sunbursts are two commonly-used visual representations of trees. While icicle trees can map data values faithfully to rectangles of different sizes, often some rectangles are too narrow to be noticed easily. When an icicle tree is transformed into a sunburst tree, the width of each rectangle becomes the len...
false
false
[ "Yuanzhe Jin", "Tim J. A. de Jong", "Martijn Tennekes", "Min Chen 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.10481v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/hBAaiCz18EI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Qg6gOYXhW_Q", "icon": "video" } ]
Vis
2,023
Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges
10.1109/TVCG.2023.3326576
We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1) The order of magnitude horizon graph, which extends the classic horizon graph; and (2) the order of magnitude lin...
false
false
[ "Daniel Braun 0010", "Rita Borgo", "Max Sondag", "Tatiana von Landesberger" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.10278v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/kqx5KXyM84w", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/ATQJQr5dGpQ", "icon": "video" } ]
Vis
2,023
Reducing Ambiguities in Line-Based Density Plots by Image-Space Colorization
10.1109/TVCG.2023.3327149
Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguously, which obstructs the user's identification of underlying trends in complex datasets. Thus, we propose a novel image space coloring meth...
false
false
[ "Yumeng Xue", "Patrick Paetzold", "Rebecca Kehlbeck", "Bin Chen", "Kin Chung Kwan", "Yunhai Wang", "Oliver Deussen" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.10447v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/-9BPVyeWbbs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/-B164EgzQKs", "icon": "video" } ]
Vis
2,023
Residency Octree: A Hybrid Approach for Scalable Web-Based Multi-Volume Rendering
10.1109/TVCG.2023.3327193
We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tree traversal. However, in octree volume rendering, tree traversal and t...
false
false
[ "Lukas Herzberger", "Markus Hadwiger", "Robert Krüger", "Peter K. Sorger", "Hanspeter Pfister", "Eduard Gröller", "Johanna Beyer" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.04393v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/WtaUcnuG-cY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/JCqZaePlqmw", "icon": "video" } ]
Vis
2,023
RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios
10.1109/TVCG.2023.3326568
Labels are widely used in augmented reality (AR) to display digital information. Ensuring the readability of AR labels requires placing them in an occlusion-free manner while keeping visual links legible, especially when multiple labels exist in the scene. Although existing optimization-based methods, such as force-bas...
false
false
[ "Zhutian Chen", "Daniele Chiappalupi", "Tica Lin", "Yalong Yang 0001", "Johanna Beyer", "Hanspeter Pfister" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.13540v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/BeWKBFH2xhA", "icon": "video" } ]
Vis
2,023
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
10.1109/TVCG.2023.3326939
Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting symptoms which affect quality of life. Sequential rule mining (SRM) is a promising unsupervised machine learning method for predicting longitudinal patterns in temporal da...
false
false
[ "Carla Floricel", "Andrew Wentzel", "Abdallah Sherif Radwan Mohamed", "Clifton David Fuller", "Guadalupe Canahuate", "G. Elisabeta Marai" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.07895v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uH5MNOblrbI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/0ctRQ3mF4AE", "icon": "video" } ]
Vis
2,023
Scalable Hypergraph Visualization
10.1109/TVCG.2023.3326599
Hypergraph visualization has many applications in network data analysis. Recently, a polygon-based representation for hypergraphs has been proposed with demonstrated benefits. However, the polygon-based layout often suffers from excessive self-intersections when the input dataset is relatively large. In this paper, we ...
false
false
[ "Peter Oliver", "Eugene Zhang", "Yue Zhang 0009" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.05043v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/DYQn0OaNgN4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Q0aOWOBRCUk", "icon": "video" } ]
Vis
2,023
SkiVis: Visual Exploration and Route Planning in Ski Resorts
10.1109/TVCG.2023.3326940
Optimal ski route selection is a challenge based on a multitude of factors, such as the steepness, compass direction, or crowdedness. The personal preferences of every skier towards these factors require individual adaptations, which aggravate this task. Current approaches within this domain do not combine automated ro...
false
false
[ "Julius Rauscher", "Raphael Buchmüller", "Daniel A. Keim", "Matthias Miller" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.08570v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/DCy63Q2QC-4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/kAR_SMveFoI", "icon": "video" } ]
Vis
2,023
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback
10.1109/TVCG.2023.3327363
Visual data stories can effectively convey insights from data, yet their creation often necessitates intricate data exploration, insight discovery, narrative organization, and customization to meet the communication objectives of the storyteller. Existing automated data storytelling techniques, however, tend to overloo...
false
false
[ "Guande Wu", "Shunan Guo", "Jane Hoffswell", "Gromit Yeuk-Yin Chan", "Ryan A. Rossi", "Eunyee Koh" ]
[]
[ "V" ]
[ { "name": "Prerecorded Talk", "url": "https://youtu.be/u5bDYCzkIEI", "icon": "video" } ]
Vis
2,023
SpeechMirror: A Multimodal Visual Analytics System for Personalized Reflection of Online Public Speaking Effectiveness
10.1109/TVCG.2023.3326932
As communications are increasingly taking place virtually, the ability to present well online is becoming an indispensable skill. Online speakers are facing unique challenges in engaging with remote audiences. However, there has been a lack of evidence-based analytical systems for people to comprehensively evaluate onl...
false
false
[ "Ze-Yuan Huang", "Qiang He", "Kevin T. Maher", "Xiaoming Deng 0001", "Yu-Kun Lai", "Cuixia Ma", "Sheng Feng Qin", "Yong-Jin Liu", "Hongan Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.05091v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/8HGPaautdlk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/80PUu8Ll7Q8", "icon": "video" } ]
Vis
2,023
Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement Learning
10.1109/TVCG.2023.3327200
The exploratory visual analysis (EVA) of time series data uses visualization as the main output medium and input interface for exploring new data. However, for users who lack visual analysis expertise, interpreting and manipulating EVA can be challenging. Thus, providing guidance on EVA is necessary and two relevant qu...
false
false
[ "Yang Shi 0007", "Bingchang Chen", "Ying Chen", "Zhuochen Jin", "Ke Xu", "Xiaohan Jiao", "Tian Gao", "Nan Cao 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/WBOV9-xf2RQ", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/l26n79AiXTE", "icon": "video" } ]
Vis
2,023
Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms
10.1109/TVCG.2023.3327356
We conducted a longitudinal study during the 2022 U.S. midterm elections, investigating the real-world impacts of uncertainty visualizations. Using our forecast model of the governor elections in 33 states, we created a website and deployed four uncertainty visualizations for the election forecasts: single quantile dot...
false
false
[ "Fumeng Yang", "Mandi Cai", "Chloe Mortenson", "Hoda Fakhari", "Ayse D. Lokmanoglu", "Jessica Hullman", "Steven Franconeri", "Nicholas Diakopoulos", "Erik C. Nisbet", "Matthew Kay 0001" ]
[ "BP" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/qpyna", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4-XECJkfMec", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LK9bxqOrrmw", "icon": "video" } ]
Vis
2,023
TactualPlot: Spatializing Data as Sound Using Sensory Substitution for Touchscreen Accessibility
10.1109/TVCG.2023.3326937
Tactile graphics are one of the best ways for a blind person to perceive a chart using touch, but their fabrication is often costly, time-consuming, and does not lend itself to dynamic exploration. Refreshable haptic displays tend to be expensive and thus unavailable to most blind individuals. We propose TactualPlot, a...
false
false
[ "Pramod Chundury", "Yasmin Reyazuddin", "J. Bern Jordan", "Jonathan Lazar", "Niklas Elmqvist" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/ZuHqdff6lb0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/FGOP_V_r_8c", "icon": "video" } ]
Vis
2,023
The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts
10.1109/TVCG.2023.3326590
Data visualizations present a massive number of potential messages to an observer. One might notice that one group's average is larger than another's, or that a difference in values is smaller than a difference between two others, or any of a combinatorial explosion of other possibilities. The message that a viewer ten...
false
false
[ "Racquel Fygenson", "Steven Franconeri", "Enrico Bertini" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.13321v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4JA9qD06WH4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xOuQs8lYO1s", "icon": "video" } ]
Vis
2,023
The Rational Agent Benchmark for Data Visualization
10.1109/TVCG.2023.3326513
Understanding how helpful a visualization is from experimental results is difficult because the observed performance is confounded with aspects of the study design, such as how useful the information that is visualized is for the task. We develop a rational agent framework for designing and interpreting visualization e...
false
false
[ "Yifan Wu", "Ziyang Guo", "Michalis Mamakos", "Jason D. Hartline", "Jessica Hullman" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.03432v5", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ZcqYd0O_7ps", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/1dOwlsp-0K0", "icon": "video" } ]
Vis
2,023
The Urban Toolkit: A Grammar-Based Framework for Urban Visual Analytics
10.1109/TVCG.2023.3326598
While cities around the world are looking for smart ways to use new advances in data collection, management, and analysis to address their problems, the complex nature of urban issues and the overwhelming amount of available data have posed significant challenges in translating these efforts into actionable insights. I...
false
false
[ "Gustavo Moreira", "Maryam Hosseini", "Md Nafiul Alam Nipu", "Marcos Lage", "Nivan Ferreira", "Fabio Miranda 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.07769v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/1g0s4PpPM6s", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LF27VgtUGQ4", "icon": "video" } ]
Vis
2,023
TimeSplines: Sketch-Based Authoring of Flexible and Idiosyncratic Timelines
10.1109/TVCG.2023.3326520
Timelines are essential for visually communicating chronological narratives and reflecting on the personal and cultural significance of historical events. Existing visualization tools tend to support conventional linear representations, but fail to capture personal idiosyncratic conceptualizations of time. In response,...
false
false
[ "Anna Offenwanger", "Matthew Brehmer", "Fanny Chevalier", "Theophanis Tsandilas" ]
[ "BP" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/qP0q5ySbN80", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/vNWgwHK4ExY", "icon": "video" } ]
Vis
2,023
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations
10.1109/TVCG.2023.3327389
Deep learning (DL) approaches are being increasingly used for time-series forecasting, with many efforts devoted to designing complex DL models. Recent studies have shown that the DL success is often attributed to effective data representations, fostering the fields of feature engineering and representation learning. H...
false
false
[ "Jianing Hao", "Qing Shi", "Yilin Ye", "Wei Zeng 0004" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.09916v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/eCNQTStE0l0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/ofNNirHeJeE", "icon": "video" } ]
Vis
2,023
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco
10.1109/TVCG.2023.3326527
Findings from graphical perception can guide visualization recommendation algorithms in identifying effective visualization designs. However, existing algorithms use knowledge from, at best, a few studies, limiting our understanding of how complementary (or contradictory) graphical perception results influence generate...
false
false
[ "Zehua Zeng", "Junran Yang", "Dominik Moritz", "Jeffrey Heer", "Leilani Battle" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.14241v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/VDA1aW1tTfY", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/9oZ6MiFDud8", "icon": "video" } ]
Vis
2,023
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression
10.1109/TVCG.2023.3326920
Existing error-bounded lossy compression techniques control the pointwise error during compression to guarantee the integrity of the decompressed data. However, they typically do not explicitly preserve the topological features in data. When performing post hoc analysis with decompressed data using topological methods,...
false
false
[ "Lin Yan 0003", "Xin Liang 0001", "Hanqi Guo 0001", "Bei Wang 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2304.11768v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/FahwYhReces", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LfqGC3UEkEY", "icon": "video" } ]
Vis
2,023
TransforLearn: Interactive Visual Tutorial for the Transformer Model
10.1109/TVCG.2023.3327353
The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their underlying mechanisms. However, beginners face difficulties in comprehending and learning Transformers due to its complex structure an...
false
false
[ "Lin Gao", "Zekai Shao", "Ziqin Luo", "Haibo Hu 0002", "Cagatay Turkay", "Siming Chen 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/IN6SyphYpZ0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/cfbs70RaxvA", "icon": "video" } ]
Vis
2,023
Transitioning to a Commercial Dashboarding System: Socio-Technical Observations and Opportunities
10.1109/TVCG.2023.3326525
Many long-established, traditional manufacturing businesses are becoming more digital and data-driven to improve their production. These companies are embracing visual analytics in these transitions through their adoption of commercial dashboarding systems. Although a number of studies have looked at the technical chal...
false
false
[ "Conny Walchshofer", "Vaishali Dhanoa", "Marc Streit", "Miriah Meyer" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/zt5TCRnhpko", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/-1ydaDEiVg0", "icon": "video" } ]
Vis
2,023
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones
10.1109/TVCG.2023.3326905
Tropical cyclones (TCs) are among the most destructive weather systems. Realistically and efficiently detecting and tracking TCs are critical for assessing their impacts and risks. In particular, the eye is a signature feature of a mature TC. Therefore, knowing the eyes' locations and movements is crucial for both oper...
false
false
[ "Lin Yan 0003", "Hanqi Guo 0001", "Thomas Peterka", "Bei Wang 0001", "Jiali Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.15243v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Phan4CK2sjM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/9WGLQVcTbGs", "icon": "video" } ]
Vis
2,023
Unraveling the Design Space of Immersive Analytics: A Systematic Review
10.1109/TVCG.2023.3327368
Immersive analytics has emerged as a promising research area, leveraging advances in immersive display technologies and techniques, such as virtual and augmented reality, to facilitate data exploration and decision-making. This paper presents a systematic literature review of 73 studies published between 2013-2022 on i...
false
false
[ "David Saffo", "Sara Di Bartolomeo", "Tarik Crnovrsanin", "Laura South", "Justin Raynor", "Caglar Yildirim", "Cody Dunne" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/2e9x4", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/AQzEyNdhwoo", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/BSLMlmUF-tk", "icon": "video" } ]
Vis
2,023
VideoPro: A Visual Analytics Approach for Interactive Video Programming
10.1109/TVCG.2023.3326586
Constructing supervised machine learning models for real-world video analysis require substantial labeled data, which is costly to acquire due to scarce domain expertise and laborious manual inspection. While data programming shows promise in generating labeled data at scale with user-defined labeling functions, the hi...
false
false
[ "Jianben He", "Xingbo Wang 0001", "Kamkwai Wong", "Xijie Huang", "Changjian Chen", "Zixin Chen", "Fengjie Wang", "Min Zhu", "Huamin Qu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.00401v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/FCb64peiqBA", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Hn2_KqSMDaY", "icon": "video" } ]
Vis
2,023
Vimo: Visual Analysis of Neuronal Connectivity Motifs
10.1109/TVCG.2023.3327388
Recent advances in high-resolution connectomics provide researchers with access to accurate petascale reconstructions of neuronal circuits and brain networks for the first time. Neuroscientists are analyzing these networks to better understand information processing in the brain. In particular, scientists are intereste...
false
false
[ "Jakob Troidl", "Simon Warchol", "Jinhan Choi", "Jordan Matelsky", "Nagaraju Dhanyasi", "Xueying Wang", "Brock A. Wester", "Donglai Wei 0001", "Jeff W. Lichtman", "Hanspeter Pfister", "Johanna Beyer" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/9OEPANsTtjs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/MtAWc_XoilE", "icon": "video" } ]
Vis
2,023
VIRD: Immersive Match Video Analysis for High-Performance Badminton Coaching
10.1109/TVCG.2023.3327161
Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal, and technical tactics. To gain a competitive edge at high-level competitions, badminton professionals frequently analyze match videos to gain insights and develop game strategies. However, the current process for analyzing match...
false
false
[ "Tica Lin", "Alexandre Aouididi", "Zhutian Chen", "Johanna Beyer", "Hanspeter Pfister", "Jui-Hsien Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12539v2", "icon": "paper" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LxEuKLl9JJA", "icon": "video" } ]
Vis
2,023
VisGrader: Automatic Grading of D3 Visualizations
10.1109/TVCG.2023.3327181
Manually grading D3 data visualizations is a challenging endeavor, and is especially difficult for large classes with hundreds of students. Grading an interactive visualization requires a combination of interactive, quantitative, and qualitative evaluation that are conventionally done manually and are difficult to scal...
false
false
[ "Matthew Hull", "Vivian Pednekar", "Hannah Murray", "Nimisha Roy", "Emmanuel Tung", "Susanta Routray", "Connor Guerin", "Justin Chen", "Zijie J. Wang", "Seongmin Lee 0007", "M. Mahdi Roozbahani", "Duen Horng Chau" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2310.12347v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ip7L9Wfrnvs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/4E6cevh6ol0", "icon": "video" } ]
Vis
2,023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
10.1109/TVCG.2023.3326587
Big data and machine learning tools have jointly empowered humans in making data-driven decisions. However, many of them capture empirical associations that might be spurious due to confounding factors and subgroup heterogeneity. The famous Simpson's paradox is such a phenomenon where aggregated and subgroup-level asso...
false
false
[ "Xian Teng", "Yongsu Ahn", "Yu-Ru Lin" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.14448v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/AB8x_Tn7KXw", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/eEg-_6MA4Zw", "icon": "video" } ]
Vis
2,023
Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations
10.1109/TVCG.2023.3326579
Trust is an essential aspect of data visualization, as it plays a crucial role in the interpretation and decision-making processes of users. While research in social sciences outlines the multi-dimensional factors that can play a role in trust formation, most data visualization trust researchers employ a single-item sc...
false
false
[ "Hamza Elhamdadi", "Adam Stefkovics", "Johanna Beyer", "Eric Mörth", "Hanspeter Pfister", "Cindy Xiong Bearfield", "Carolina Nobre" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.16915v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Mb83yBTxJY4", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/gFXeHdqm6vM", "icon": "video" } ]
Vis
2,023
Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs
10.1109/TVCG.2023.3326931
We developed a new approach comprised of different visualizations for the comparative spatio-temporal analysis of displacement processes in porous media. We aim to analyze and compare ensemble datasets from experiments to gain insight into the influence of different parameters on fluid flow. To capture the displacement...
false
false
[ "Alexander Straub", "Nikolaos Karadimitriou", "Guido Reina", "Steffen Frey", "Holger Steeb", "Thomas Ertl" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.14949v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/2jFzP_AuBp0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/WngF_Xyr87k", "icon": "video" } ]
Vis
2,023
Visual Analytics for Understanding Draco's Knowledge Base
10.1109/TVCG.2023.3326912
Draco has been developed as an automated visualization recommendation system formalizing design knowledge as logical constraints in ASP (Answer-Set Programming). With an increasing set of constraints and incorporated design knowledge, even visualization experts lose overview in Draco and struggle to retrace the automat...
false
false
[ "Johanna Schmidt", "Bernhard Pointner", "Silvia Miksch" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2307.12866v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Jkaz0DJ25bs", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/n3SVTfXvJc8", "icon": "video" } ]
Vis
2,023
Visualization According to Statisticians: An Interview Study on the Role of Visualization for Inferential Statistics
10.1109/TVCG.2023.3326521
Statisticians are not only one of the earliest professional adopters of data visualization, but also some of its most prolific users. Understanding how these professionals utilize visual representations in their analytic process may shed light on best practices for visual sensemaking. We present results from an intervi...
false
false
[ "Eric Newburger", "Niklas Elmqvist" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.12684v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/LstX25H2Uho", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/D4z_F2b5aEQ", "icon": "video" } ]
Vis
2,023
Visualization of Discontinuous Vector Field Topology
10.1109/TVCG.2023.3326519
This paper extends the concept and the visualization of vector field topology to vector fields with discontinuities. We address the non-uniqueness of flow in such fields by introduction of a time-reversible concept of equivalence. This concept generalizes streamlines to streamsets and thus vector field topology to disc...
false
false
[ "Egzon Miftari", "Daniel Durstewitz", "Filip Sadlo" ]
[ "BP" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/v-jSC58mF-E", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/OuJbldoK7yw", "icon": "video" } ]
Vis
2,023
Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts
10.1109/TVCG.2023.3326923
The circulation of historical books has always been an area of interest for historians. However, the data used to represent the journey of a book across different places and times can be difficult for domain experts to digest due to buried geographical and chronological features within text-based presentations. This si...
false
false
[ "Yiwen Xing", "Cristina Dondi", "Rita Borgo", "Alfie Abdul-Rahman" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2308.10795v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/hVYdZL4MMqI", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/5EswGZzXctA", "icon": "video" } ]
Vis
2,023
Visualizing Large-Scale Spatial Time Series with GeoChron
10.1109/TVCG.2023.3327162
In geo-related fields such as urban informatics, atmospheric science, and geography, large-scale spatial time (ST) series (i.e., geo-referred time series) are collected for monitoring and understanding important spatiotemporal phenomena. ST series visualization is an effective means of understanding the data and review...
false
false
[ "Zikun Deng", "Shifu Chen", "Tobias Schreck", "Dazhen Deng", "Tan Tang", "Mingliang Xu", "Di Weng", "Yingcai Wu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/HJOANK17sTM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/DLJtBFaW6HY", "icon": "video" } ]
Vis
2,023
Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution
10.1109/TVCG.2023.3326915
This paper describes a novel method for detecting and visualizing vortex structures in unsteady 2D fluid flows. The method is based on an interactive local reference frame estimation that minimizes the observed time derivative of the input flow field $\mathrm{v}(x, t)$. A locally optimal reference frame $\mathrm{w}(x, ...
false
false
[ "Peter Rautek", "Xingdi Zhang", "Bernhard Woschizka", "Thomas Theußl", "Markus Hadwiger" ]
[ "BP" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/dwYel_PpX-0", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/NkWG5RWrWsY", "icon": "video" } ]
Vis
2,023
Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations
10.1109/TVCG.2023.3327155
Although visualization tools are widely available and accessible, not everyone knows the best practices and guidelines for creating accurate and honest visual representations of data. Numerous books and articles have been written to expose the misleading potential of poorly constructed charts and teach people how to av...
false
false
[ "Leo Yu-Ho Lo", "Yifan Cao", "Leni Yang", "Huamin Qu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2309.01445v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Bwdk5t-Qy0A", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/966i7IF1IEI", "icon": "video" } ]
Vis
2,023
Wizualization: A “Hard Magic” Visualization System for Immersive and Ubiquitous Analytics
10.1109/TVCG.2023.3326580
What if magic could be used as an effective metaphor to perform data visualization and analysis using speech and gestures while mobile and on-the-go? In this paper, we introduce Wizualization, a visual analytics system for eXtended Reality (XR) that enables an analyst to author and interact with visualizations using su...
false
false
[ "Andrea Batch", "Peter W. S. Butcher", "Panagiotis D. Ritsos", "Niklas Elmqvist" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/trKRCtbFTUM", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/Pv6glacsfgg", "icon": "video" } ]
EuroVis
2,023
A Comparative Evaluation of Visual Summarization Techniques for Event Sequences
10.1111/cgf.14821
Real‐world event sequences are often complex and heterogeneous, making it difficult to create meaningful visualizations using simple data aggregation and visual encoding techniques. Consequently, visualization researchers have developed numerous visual summarization techniques to generate concise overviews of sequentia...
false
false
[ "Kazi Tasnim Zinat", "Jinhua Yang", "Arjun Gandhi", "Nistha Mitra", "Zhicheng Liu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2306.02489v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/C9NWr0kaWDo?si=KFMLUE0BdSwFV5rN&t=99", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/pg6WmvOmLQk?si=0COAR7...
EuroVis
2,023
A Fully Integrated Pipeline for Visual Carotid Morphology Analysis
10.1111/cgf.14808
Analyzing stenoses of the internal carotids – local constrictions of the artery – is a critical clinical task in cardiovascular disease treatment and prevention. For this purpose, we propose a self‐contained pipeline for the visual analysis of carotid artery geometries. The only inputs are computed tomography angiograp...
false
false
[ "Pepe Eulzer", "Fabienne von Deylen", "Chan-Wei Hsu", "Ralph Wickenhöfer", "Carsten M. Klingner", "Kai Lawonn" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/dV2ZgGRY8ls?si=zpDZ5F6bCQxjnLix&t=67", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/yh-eXernLgk?si=1JZp8qhajfSy82SD", "icon": "video" } ]
EuroVis
2,023
Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments
10.1111/cgf.14838
The distribution of visual attention can be evaluated using eye tracking, providing valuable insights into usability issues and interaction patterns. However, when used in real, augmented, and collaborative environments, new challenges arise that go beyond desktop scenarios and purely virtual environments. Toward addre...
false
false
[ "Nelusa Pathmanathan", "Seyda Öney", "Michael Becher", "Michael Sedlmair", "Daniel Weiskopf", "Kuno Kurzhals" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/B_glqLEgBZw?si=sCVGipmLjn9IKWWW&t=96", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/K4gCf2DYHsQ?si=W3JtTgOAmtGvZE2A", "icon": "video" } ]
EuroVis
2,023
Belief Decay or Persistence? A Mixed-method Study on Belief Movement Over Time
10.1111/cgf.14816
When individuals encounter new information (data), that information is incorporated with their existing beliefs (prior) to form a new belief (posterior) in a process referred to as belief updating. While most studies on rational belief updating in visual data analysis elicit beliefs immediately after data is shown, we ...
false
false
[ "Shrey Gupta", "Alireza Karduni", "Emily Wall" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/7rAJy8BgwQ4?si=axhulYqFOU4vYt4G&t=36", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/X8-Yv7O6VBc?si=3zOBo_pKvkl5YTDb", "icon": "video" } ]