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Vis
2,021
Compass: Towards Better Causal Analysis of Urban Time Series
10.1109/TVCG.2021.3114875
The spatial time series generated by city sensors allow us to observe urban phenomena like environmental pollution and traffic congestion at an unprecedented scale. However, recovering causal relations from these observations to explain the sources of urban phenomena remains a challenging task because these causal rela...
false
false
[ "Zikun Deng", "Di Weng", "Xiao Xie", "Jie Bao 0003", "Yu Zheng 0004", "Mingliang Xu", "Wei Chen 0001", "Yingcai Wu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/XQpSA3iRs7k", "icon": "video" } ]
Vis
2,021
Context Matters: A Theory of Semantic Discriminability for Perceptual Encoding Systems
10.1109/TVCG.2021.3114780
People's associations between colors and concepts influence their ability to interpret the meanings of colors in information visualizations. Previous work has suggested such effects are limited to concepts that have strong, specific associations with colors. However, although a concept may not be strongly associated wi...
false
false
[ "Kushin Mukherjee", "Brian Yin", "Brianne E. Sherman", "Laurent Lessard", "Karen B. Schloss" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03685v4", "icon": "paper" } ]
Vis
2,021
CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces
10.1109/TVCG.2021.3114822
Reviewing a think-aloud video is both time-consuming and demanding as it requires UX (user experience) professionals to attend to many behavioral signals of the user in the video. Moreover, challenges arise when multiple UX professionals need to collaborate to reduce bias and errors. We propose a collaborative visual a...
false
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[ "Ehsan Jahangirzadeh Soure", "Emily Kuang", "Mingming Fan 0001", "Jian Zhao 0010" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/36l1zxUS_N4", "icon": "video" } ]
Vis
2,021
COVID-view: Diagnosis of COVID-19 using Chest CT
10.1109/TVCG.2021.3114851
Significant work has been done towards deep learning (DL) models for automatic lung and lesion segmentation and classification of COVID-19 on chest CT data. However, comprehensive visualization systems focused on supporting the dual visual+DL diagnosis of COVID-19 are non-existent. We present COVID-view, a visualizatio...
false
false
[ "Shreeraj Jadhav", "Gaofeng Deng", "Marlene Zawin", "Arie E. Kaufman" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03799v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/q9PAQZU8bb0", "icon": "video" } ]
Vis
2,021
DDLVis: Real-time Visual Query of Spatiotemporal Data Distribution via Density Dictionary Learning
10.1109/TVCG.2021.3114762
Visual query of spatiotemporal data is becoming an increasingly important function in visual analytics applications. Various works have been presented for querying large spatiotemporal data in real time. However, the real-time query of spatiotemporal data distribution is still an open challenge. As spatiotemporal data ...
false
false
[ "Chenhui Li", "George Baciu", "Yunzhe Wang", "Junjie Chen", "Changbo Wang" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/mo92ArEk8Nk", "icon": "video" } ]
Vis
2,021
DIEL: Interactive Visualization Beyond the Here and Now
10.1109/TVCG.2021.3114796
Interactive visualization design and research have primarily focused on local data and synchronous events. However, for more complex use cases-e.g., remote database access and streaming data sources-developers must grapple with distributed data and asynchronous events. Currently, constructing these use cases is difficu...
false
false
[ "Yifan Wu", "Remco Chang", "Joseph M. Hellerstein", "Arvind Satyanarayan", "Eugene Wu 0002" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.00062v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/PB3D4RRI7Es", "icon": "video" } ]
Vis
2,021
Differentiable Direct Volume Rendering
10.1109/TVCG.2021.3114769
We present a differentiable volume rendering solution that provides differentiability of all continuous parameters of the volume rendering process. This differentiable renderer is used to steer the parameters towards a setting with an optimal solution of a problem-specific objective function. We have tailored the appro...
false
false
[ "Sebastian Weiss", "Rüdiger Westermann" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.12672v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/5E2I8iDKVIc", "icon": "video" } ]
Vis
2,021
E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches
10.1109/TVCG.2021.3114789
What makes speeches effective has long been a subject for debate, and until today there is broad controversy among public speaking experts about what factors make a speech effective as well as the roles of these factors in speeches. Moreover, there is a lack of quantitative analysis methods to help understand effective...
false
false
[ "Kevin T. Maher", "Ze-Yuan Huang", "Jian-Cheng Song", "Xiaoming Deng 0001", "Yu-Kun Lai", "CuiXia Ma", "Hao Wang 0005", "Yong-Jin Liu", "Hongan Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.14908v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/TyKuaEtYQm0", "icon": "video" } ]
Vis
2,021
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach
10.1109/TVCG.2021.3114795
Edge bundling techniques cluster edges with similar attributes (i.e. similarity in direction and proximity) together to reduce the visual clutter. All edge bundling techniques to date implicitly or explicitly cluster groups of individual edges, or parts of them, together based on these attributes. These clusters can re...
false
false
[ "Markus Wallinger", "Daniel Archambault", "David Auber", "Martin Nöllenburg", "Jaakko Peltonen" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.05467v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/3NHfrXpS2IU", "icon": "video" } ]
Vis
2,021
Effect of uncertainty visualizations on myopic loss aversion and the equity premium puzzle in retirement investment decisions
10.1109/TVCG.2021.3114692
For many households, investing for retirement is one of the most significant decisions and is fraught with uncertainty. In a classic study in behavioral economics, Benartzi and Thaler (1999) found evidence using bar charts that investors exhibit myopic loss aversion in retirement decisions: Investors overly focus on th...
false
false
[ "Ryan Wesslen", "Alireza Karduni", "Douglas Markant", "Wenwen Dou" ]
[]
[]
[]
Vis
2,021
EVis: Visually Analyzing Environmentally Driven Events
10.1109/TVCG.2021.3114867
Earth scientists are increasingly employing time series data with multiple dimensions and high temporal resolution to study the impacts of climate and environmental changes on Earth's atmosphere, biosphere, hydrosphere, and lithosphere. However, the large number of variables and varying time scales of antecedent condit...
false
false
[ "Tinghao Feng", "Jing Yang 0001", "Martha-Cary Eppes", "Zhaocong Yang", "Faye Moser" ]
[]
[]
[]
Vis
2,021
Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX
10.1109/TVCG.2021.3114803
As uncertainty visualizations for general audiences become increasingly common, designers must understand the full impact of uncertainty communication techniques on viewers' decision processes. Prior work demonstrates mixed performance outcomes with respect to how individuals make decisions using various visual and tex...
false
false
[ "Spencer C. Castro", "P. Samuel Quinan", "Helia Hosseinpour", "Lace M. K. Padilla" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/wpz8b", "icon": "paper" } ]
Vis
2,021
Explanatory Journeys: Visualising to Understand and Explain Administrative Justice Paths of Redress
10.1109/TVCG.2021.3114818
Administrative justice concerns the relationships between individuals and the state. It includes redress and complaints on decisions of a child's education, social care, licensing, planning, environment, housing and homelessness. However, if someone has a complaint or an issue, it is challenging for people to understan...
false
false
[ "Jonathan Roberts 0002", "Peter W. S. Butcher", "Ann Sherlock", "Sarah Nason" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.14013v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uwJeTbqri0M", "icon": "video" } ]
Vis
2,021
Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon"
10.1109/TVCG.2021.3114798
Personal informatics research helps people track personal data for the purposes of self-reflection and gaining self-knowledge. This field, however, has predominantly focused on the data collection and insight-generation elements of self-tracking, with less attention paid to flexible data analysis. As a result, this ina...
false
false
[ "Jimmy Moore", "Pascal Goffin", "Jason Wiese", "Miriah D. Meyer" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03761v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/8U4hGTpmzXE", "icon": "video" } ]
Vis
2,021
F2-Bubbles: Faithful Bubble Set Construction and Flexible Editing
10.1109/TVCG.2021.3114761
In this paper, we propose F2-Bubbles, a set overlay visualization technique that addresses overlapping artifacts and supports interactive editing with intelligent suggestions. The core of our method is a new, efficient set overlay construction algorithm that approximates the optimal set overlay by considering set eleme...
false
false
[ "Yunhai Wang", "Da Cheng", "Zhirui Wang", "Jian Zhang 0070", "Liang Zhou 0001", "Gaoqi He", "Oliver Deussen" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/AeQuMMXHWl8", "icon": "video" } ]
Vis
2,021
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models
10.1109/TVCG.2021.3114850
Graph mining is an essential component of recommender systems and search engines. Outputs of graph mining models typically provide a ranked list sorted by each item's relevance or utility. However, recent research has identified issues of algorithmic bias in such models, and new graph mining algorithms have been propos...
false
false
[ "Tiankai Xie", "Yuxin Ma", "Jian Kang", "Hanghang Tong", "Ross Maciejewski" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/LAxI6_i3CHo", "icon": "video" } ]
Vis
2,021
Feature Curves and Surfaces of 3D Asymmetric Tensor Fields
10.1109/TVCG.2021.3114808
3D asymmetric tensor fields have found many applications in science and engineering domains, such as fluid dynamics and solid mechanics. 3D asymmetric tensors can have complex eigenvalues, which makes their analysis and visualization more challenging than 3D symmetric tensors. Existing research in tensor field visualiz...
false
false
[ "Shih-Hsuan Hung", "Yue Zhang 0009", "Harry Yeh", "Eugene Zhang" ]
[ "BP" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.02114v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/kIYX3lWuIew", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/LZ5MjWtcGp8?si=DXxOiwZ8NnbGPhFt", "icon": ...
Vis
2,021
From Jam Session to Recital: Synchronous Communication and Collaboration Around Data in Organizations
10.1109/TVCG.2021.3114760
Prior research on communicating with visualization has focused on public presentation and asynchronous individual consumption, such as in the domain of journalism. The visualization research community knows comparatively little about synchronous and multimodal communication around data within organizations, from team m...
false
false
[ "Matthew Brehmer", "Robert Kosara" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.09042v1", "icon": "paper" } ]
Vis
2,021
Gender in 30 Years of IEEE Visualization
10.1109/TVCG.2021.3114787
We present an exploratory analysis of gender representation among the authors, committee members, and award winners at the IEEE Visualization (VIS) conference over the last 30 years. Our goal is to provide descriptive data on which diversity discussions and efforts in the community can build. We look in particular at t...
false
false
[ "Natkamon Tovanich", "Pierre Dragicevic", "Petra Isenberg" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/00FBt95k2-s", "icon": "video" } ]
Vis
2,021
Generative Design Inspiration for Glyphs with Diatoms
10.1109/TVCG.2021.3114792
We introduce Diatoms, a technique that generates design inspiration for glyphs by sampling from palettes of mark shapes, encoding channels, and glyph scaffold shapes. Diatoms allows for a degree of randomness while respecting constraints imposed by columns in a data table: their data types and domains as well as semant...
false
false
[ "Matthew Brehmer", "Robert Kosara", "Carmen Hull" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.09015v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/xm2Hn7ykKt4", "icon": "video" } ]
Vis
2,021
GenNI: Human-AI Collaboration for Data-Backed Text Generation
10.1109/TVCG.2021.3114845
Table2Text systems generate textual output based on structured data utilizing machine learning. These systems are essential for fluent natural language interfaces in tools such as virtual assistants; however, left to generate freely these ML systems often produce misleading or unexpected outputs. GenNI (Generation Nego...
false
false
[ "Hendrik Strobelt", "Jambay Kinley", "Robert Krüger", "Johanna Beyer", "Hanspeter Pfister", "Alexander M. Rush" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.10185v1", "icon": "paper" } ]
Vis
2,021
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data
10.1109/TVCG.2021.3114853
Vision-based deep learning (DL) methods have made great progress in learning autonomous driving models from large-scale crowd-sourced video datasets. They are trained to predict instantaneous driving behaviors from video data captured by on-vehicle cameras. In this paper, we develop a geo-context aware visualization sy...
false
false
[ "Suphanut Jamonnak", "Ye Zhao 0003", "Xinyi Huang", "Md. Amiruzzaman" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.10895v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Y8bN-6G3Vko", "icon": "video" } ]
Vis
2,021
GlyphCreator: Towards Example-based Automatic Generation of Circular Glyphs
10.1109/TVCG.2021.3114877
Circular glyphs are used across disparate fields to represent multidimensional data. However, although these glyphs are extremely effective, creating them is often laborious, even for those with professional design skills. This paper presents GlyphCreator, an interactive tool for the example-based generation of circula...
false
false
[ "Lu Ying", "Tan Tang", "Yuzhe Luo", "Lvkeshen Shen", "Xiao Xie", "Lingyun Yu 0001", "Yingcai Wu" ]
[]
[]
[]
Vis
2,021
Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization
10.1109/TVCG.2021.3114876
The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize visualizations for n...
false
false
[ "Sehi L'Yi", "Qianwen Wang", "Fritz Lekschas", "Nils Gehlenborg" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/6evmb", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Wvyb9dus9eU", "icon": "video" } ]
Vis
2,021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
10.1109/TVCG.2021.3114837
The interpretation of deep neural networks (DNNs) has become a key topic as more and more people apply them to solve various problems and making critical decisions. Concept-based explanations have recently become a popular approach for post-hoc interpretation of DNNs. However, identifying human-understandable visual co...
false
false
[ "Zhenge Zhao", "Panpan Xu", "Carlos Scheidegger", "Ren Liu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03738v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/OrnFfB7rCKY", "icon": "video" } ]
Vis
2,021
Improving Visualization Interpretation Using Counterfactuals
10.1109/TVCG.2021.3114779
Complex, high-dimensional data is used in a wide range of domains to explore problems and make decisions. Analysis of high-dimensional data, however, is vulnerable to the hidden influence of confounding variables, especially as users apply ad hoc filtering operations to visualize only specific subsets of an entire data...
false
false
[ "Smiti Kaul", "David Borland", "Nan Cao", "David Gotz" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.10309v1", "icon": "paper" } ]
Vis
2,021
Interactive Data Comics
10.1109/TVCG.2021.3114849
This paper investigates how to make data comics interactive. Data comics are an effective and versatile means for visual communication, leveraging the power of sequential narration and combined textual and visual content, while providing an overview of the storyline through panels assembled in expressive layouts. While...
false
false
[ "Zezhong Wang 0001", "Hugo Romat", "Fanny Chevalier", "Nathalie Henry Riche", "David Murray-Rust", "Benjamin Bach" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/dx7mj", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/w8gLs-jYm04", "icon": "video" } ]
Vis
2,021
Interactive Dimensionality Reduction for Comparative Analysis
10.1109/TVCG.2021.3114807
Finding the similarities and differences between groups of datasets is a fundamental analysis task. For high-dimensional data, dimensionality reduction (DR) methods are often used to find the characteristics of each group. However, existing DR methods provide limited capability and flexibility for such comparative anal...
false
false
[ "Takanori Fujiwara", "Xinhai Wei", "Jian Zhao 0010", "Kwan-Liu Ma" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2106.15481v3", "icon": "paper" } ]
Vis
2,021
Interactive Exploration of Physically-Observable Objective Vortices in Unsteady 2D Flow
10.1109/TVCG.2021.3115565
State-of-the-art computation and visualization of vortices in unsteady fluid flow employ objective vortex criteria, which makes them independent of reference frames or observers. However, objectivity by itself, although crucial, is not sufficient to guarantee that one can identify physically-realizable observers that w...
false
false
[ "Xingdi Zhang", "Markus Hadwiger", "Thomas Theußl", "Peter Rautek" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/0kdWTHGd5yQ", "icon": "video" } ]
Vis
2,021
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
10.1109/TVCG.2021.3114857
Graphs are a ubiquitous data structure to model processes and relations in a wide range of domains. Examples include control-flow graphs in programs and semantic scene graphs in images. Identifying subgraph patterns in graphs is an important approach to understand their structural properties. We propose a visual analyt...
false
false
[ "Huan Song", "Zeng Dai", "Panpan Xu", "Ren Liu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2202.09459v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/6dP9SR-ZSSc", "icon": "video" } ]
Vis
2,021
IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines
10.1109/TVCG.2021.3114797
In this design study, we present IRVINE, a Visual Analytics (VA) system, which facilitates the analysis of acoustic data to detect and understand previously unknown errors in the manufacturing of electrical engines. In serial manufacturing processes, signatures from acoustic data provide valuable information on how the...
false
false
[ "Joscha Eirich", "Jakob Bonart", "Dominik Jäckle", "Michael Sedlmair", "Ute Schmid", "Kai Fischbach", "Tobias Schreck", "Jürgen Bernard" ]
[ "BP" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/EKO-fgUCF5w", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/E_u27Xltbt0?si=tW5gKHGm9Y0glGFL", "icon": "video" } ]
Vis
2,021
Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets
10.1109/TVCG.2021.3114765
We present Joint t-Stochastic Neighbor Embedding (Joint t-SNE), a technique to generate comparable projections of multiple high-dimensional datasets. Although t-SNE has been widely employed to visualize high-dimensional datasets from various domains, it is limited to projecting a single dataset. When a series of high-d...
false
false
[ "Yinqiao Wang", "Lu Chen", "Jaemin Jo", "Yunhai Wang" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/6Gxdv-unloM", "icon": "video" } ]
Vis
2,021
KD-Box: Line-segment-based KD-tree for Interactive Exploration of Large-scale Time-Series Data
10.1109/TVCG.2021.3114865
Time-series data-usually presented in the form of lines-plays an important role in many domains such as finance, meteorology, health, and urban informatics. Yet, little has been done to support interactive exploration of large-scale time-series data, which requires a clutter-free visual representation with low-latency ...
false
false
[ "Yue Zhao", "Yunhai Wang", "Jian Zhang 0070", "Chi-Wing Fu", "Mingliang Xu", "Dominik Moritz" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/zHiYTZUw5Co", "icon": "video" } ]
Vis
2,021
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
10.1109/TVCG.2021.3114863
Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especially for those users without a background in data visualizations. However, existing rule-based approaches require tedious manual specifications...
false
false
[ "Haotian Li 0001", "Yong Wang 0021", "Songheng Zhang", "Yangqiu Song", "Huamin Qu" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.12548v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/RVX1jFGNLdw", "icon": "video" } ]
Vis
2,021
Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design
10.1109/TVCG.2021.3114775
Data stories often seek to elicit affective feelings from viewers. However, how to design affective data stories remains under-explored. In this work, we investigate one specific design factor, animation, and present Kineticharts, an animation design scheme for creating charts that express five positive affects: joy, a...
false
false
[ "Xingyu Lan", "Yang Shi 0007", "Yanqiu Wu", "Xiaohan Jiao", "Nan Cao" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/e-CXSOpKuyY", "icon": "video" } ]
Vis
2,021
Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems
10.1109/TVCG.2021.3114687
We present Knowledge Rocks, an implementation strategy and guideline for augmenting visualization systems to knowledge-assisted visualization systems, as defined by the KAVA model. Visualization systems become more and more sophisticated. Hence, it is increasingly important to support users with an integrated knowledge...
false
false
[ "Anna Pia Lohfink", "Simon Duque Antón", "Heike Leitte", "Christoph Garth" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.11095v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4laWRkt2rC0", "icon": "video" } ]
Vis
2,021
Kori: Interactive Synthesis of Text and Charts in Data Documents
10.1109/TVCG.2021.3114802
Charts go hand in hand with text to communicate complex data and are widely adopted in news articles, online blogs, and academic papers. They provide graphical summaries of the data, while text explains the message and context. However, synthesizing information across text and charts is difficult; it requires readers t...
false
false
[ "Shahid Latif", "Zheng Zhou", "Yoon Kim", "Fabian Beck 0001", "Nam Wook Kim" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.04203v1", "icon": "paper" } ]
Vis
2,021
Learning Objectives, Insights, and Assessments: How Specification Formats Impact Design
10.1109/TVCG.2021.3114811
Despite the ubiquity of communicative visualizations, specifying communicative intent during design is ad hoc. Whether we are selecting from a set of visualizations, commissioning someone to produce them, or creating them ourselves, an effective way of specifying intent can help guide this process. Ideally, we would ha...
false
false
[ "Elsie Lee-Robbins", "Shiqing He", "Eytan Adar" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03111v1", "icon": "paper" } ]
Vis
2,021
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases
10.1109/TVCG.2021.3114862
Human biases impact the way people analyze data and make decisions. Recent work has shown that some visualization designs can better support cognitive processes and mitigate cognitive biases (i.e., errors that occur due to the use of mental “shortcuts”). In this work, we explore how visualizing a user's interaction his...
false
false
[ "Emily Wall", "Arpit Narechania", "Adam Coscia", "Jamal Paden", "Alex Endert" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03536v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KBAkr9ROv5k", "icon": "video" } ]
Vis
2,021
Loon: Using Exemplars to Visualize Large-Scale Microscopy Data
10.1109/TVCG.2021.3114766
Which drug is most promising for a cancer patient? A new microscopy-based approach for measuring the mass of individual cancer cells treated with different drugs promises to answer this question in only a few hours. However, the analysis pipeline for extracting data from these images is still far from complete automati...
false
false
[ "Devin Lange", "Eddie Polanco", "Robert Judson-Torres", "Thomas Zangle", "Alexander Lex" ]
[ "HM" ]
[ "PW", "P", "V", "C", "O" ]
[ { "name": "Project Website with Demo", "url": "https://loon.sci.utah.edu/", "icon": "project_website" }, { "name": "Paper Preprint", "url": "https://doi.org/10.31219/osf.io/dfajc", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/iRsL3WiZbhI?si=VaV8E5xhJn...
Vis
2,021
Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis
10.1109/TVCG.2021.3114827
Visual data analysis tools provide people with the agency and flexibility to explore data using a variety of interactive functionalities. However, this flexibility may introduce potential consequences in situations where users unknowingly overemphasize or underemphasize specific subsets of the data or attribute space t...
false
false
[ "Arpit Narechania", "Adam Coscia", "Emily Wall", "Alex Endert" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.02909v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/KKDiLrsTlLA", "icon": "video" } ]
Vis
2,021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
10.1109/TVCG.2021.3114794
Multimodal sentiment analysis aims to recognize people's attitudes from multiple communication channels such as verbal content (i.e., text), voice, and facial expressions. It has become a vibrant and important research topic in natural language processing. Much research focuses on modeling the complex intra- and inter-...
false
false
[ "Xingbo Wang 0001", "Jianben He", "Zhihua Jin", "Muqiao Yang", "Yong Wang 0021", "Huamin Qu" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.08264v4", "icon": "paper" } ]
Vis
2,021
matExplorer: Visual Exploration on Predicting Ionic Conductivity for Solid-state Electrolytes
10.1109/TVCG.2021.3114812
Lithium ion batteries (LIBs) are widely used as important energy sources for mobile phones, electric vehicles, and drones. Experts have attempted to replace liquid electrolytes with solid electrolytes that have wider electrochemical window and higher stability due to the potential safety risks, such as electrolyte leak...
false
false
[ "Jiansu Pu", "Hui Shao", "Boyang Gao", "Zhengguo Zhu", "Yanlin Zhu", "Yunbo Rao", "Yong Xiang" ]
[]
[]
[]
Vis
2,021
Measuring and Explaining the Inter-Cluster Reliability of Multidimensional Projections
10.1109/TVCG.2021.3114833
We propose Steadiness and Cohesiveness, two novel metrics to measure the inter-cluster reliability of multidimensional projection (MDP), specifically how well the inter-cluster structures are preserved between the original high-dimensional space and the low-dimensional projection space. Measuring inter-cluster reliabil...
false
false
[ "Hyeon Jeon", "Hyung-Kwon Ko", "Jaemin Jo", "Youngtaek Kim", "Jinwook Seo" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.07859v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/EFaKO5hvtcw", "icon": "video" } ]
Vis
2,021
MiningVis: Visual Analytics of the Bitcoin Mining Economy
10.1109/TVCG.2021.3114821
We present a visual analytics tool, MiningVis, to explore the long-term historical evolution and dynamics of the Bitcoin mining ecosystem. Bitcoin is a cryptocurrency that attracts much attention but remains difficult to understand. Particularly important to the success, stability, and security of Bitcoin is a componen...
false
false
[ "Natkamon Tovanich", "Nicolas Soulié", "Nicolas Heulot", "Petra Isenberg" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/aPh_QMZ1xfk", "icon": "video" } ]
Vis
2,021
Modeling Just Noticeable Differences in Charts
10.1109/TVCG.2021.3114874
One of the fundamental tasks in visualization is to compare two or more visual elements. However, it is often difficult to visually differentiate graphical elements encoding a small difference in value, such as the heights of similar bars in bar chart or angles of similar sections in pie chart. Perceptual laws can be u...
false
false
[ "Min Lu 0002", "Joel Lanir", "Chufeng Wang", "Yucong Yao", "Wen Zhang", "Oliver Deussen", "Hui Huang 0004" ]
[]
[]
[]
Vis
2,021
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation
10.1109/TVCG.2021.3114826
We contribute a deep-learning-based method that assists in designing analytical dashboards for analyzing a data table. Given a data table, data workers usually need to experience a tedious and time-consuming process to select meaningful combinations of data columns for creating charts. This process is further complicat...
false
false
[ "Aoyu Wu", "Yun Wang 0012", "Mengyu Zhou", "Xinyi He", "Haidong Zhang", "Huamin Qu", "Dongmei Zhang 0001" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.07823v1", "icon": "paper" } ]
Vis
2,021
Natural Language to Visualization by Neural Machine Translation
10.1109/TVCG.2021.3114848
Supporting the translation from natural language (NL) query to visualization (NL2VIS) can simplify the creation of data visualizations because if successful, anyone can generate visualizations by their natural language from the tabular data. The state-of-the-art NL2VIS approaches (e.g., NL4DV and FlowSense) are based o...
false
false
[ "Yuyu Luo", "Nan Tang 0001", "Guoliang Li 0001", "Jiawei Tang", "Chengliang Chai", "Xuedi Qin" ]
[]
[]
[]
Vis
2,021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
10.1109/TVCG.2021.3114858
Existing research on making sense of deep neural networks often focuses on neuron-level interpretation, which may not adequately capture the bigger picture of how concepts are collectively encoded by multiple neurons. We present Neurocartography, an interactive system that scalably summarizes and visualizes concepts le...
false
false
[ "Haekyu Park", "Nilaksh Das", "Rahul Duggal", "Austin P. Wright", "Omar Shaikh", "Fred Hohman", "Polo Chau" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.12931v1", "icon": "paper" } ]
Vis
2,021
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
10.1109/TVCG.2021.3114844
We explore how the lens of fictional superpowers can help characterize how visualizations empower people and provide inspiration for new visualization systems. Researchers and practitioners often tout visualizations' ability to “make the invisible visible” and to “enhance cognitive abilities.” Meanwhile superhero comic...
false
false
[ "Wesley Willett", "Bon Adriel Aseniero", "Sheelagh Carpendale", "Pierre Dragicevic", "Yvonne Jansen", "Lora Oehlberg", "Petra Isenberg" ]
[ "BP" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/Y-6GdB_nVeg", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/_k51PyDj5Ag?si=Hm1knwbEHt2RSVav", "icon": "video" } ]
Vis
2,021
Probabilistic Occlusion Culling using Confidence Maps for High-Quality Rendering of Large Particle Data
10.1109/TVCG.2021.3114788
Achieving high rendering quality in the visualization of large particle data, for example from large-scale molecular dynamics simulations, requires a significant amount of sub-pixel super-sampling, due to very high numbers of particles per pixel. Although it is impossible to super-sample all particles of large-scale da...
false
false
[ "Mohamed Ibrahim", "Peter Rautek", "Guido Reina", "Marco Agus", "Markus Hadwiger" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/zMbAIqrnRj0", "icon": "video" } ]
Vis
2,021
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines
10.1109/TVCG.2021.3114805
Problem-driven visualization work is rooted in deeply understanding the data, actors, processes, and workflows of a target domain. However, an individual's personality traits and cognitive abilities may also influence visualization use. Diverse user needs and abilities raise natural questions for specificity in visuali...
false
false
[ "Kyle Wm. Hall", "Anthony Kouroupis", "Anastasia Bezerianos", "Danielle Albers Szafir", "Christopher Collins 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.02333v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/FIkUJnoV6Lg", "icon": "video" } ]
Vis
2,021
Propagating Visual Designs to Numerous Plots and Dashboards
10.1109/TVCG.2021.3114828
In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists and modeling scientists, we encountered a technical challenge for applying a number of visual designs to numerous datasets rapidly and reliably with limited development resources. In this paper...
false
false
[ "Saiful Khan", "Phong Hai Nguyen", "Alfie Abdul-Rahman", "Benjamin Bach", "Min Chen 0001", "Euan Freeman", "Cagatay Turkay" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.08882v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/WVsrMdvjQlk", "icon": "video" } ]
Vis
2,021
Pyramid-based Scatterplots Sampling for Progressive and Streaming Data Visualization
10.1109/TVCG.2021.3114880
We present a pyramid-based scatterplot sampling technique to avoid overplotting and enable progressive and streaming visualization of large data. Our technique is based on a multiresolution pyramid-based decomposition of the underlying density map and makes use of the density values in the pyramid to guide the sampling...
false
false
[ "Xin Chen", "Jian Zhang 0070", "Chi-Wing Fu", "Jean-Daniel Fekete", "Yunhai Wang" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/_dj2w4nAqfs", "icon": "video" } ]
Vis
2,021
Rapid Labels: Point-Feature Labeling on GPU
10.1109/TVCG.2021.3114854
Labels, short textual annotations are an important component of data visualizations, illustrations, infographics, and geographical maps. In interactive applications, the labeling method responsible for positioning the labels should not take the resources from the application itself. In other words, the labeling method ...
false
false
[ "Vaclav Pavlovec", "Ladislav Cmolík" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/tVEMCigvWkw", "icon": "video" } ]
Vis
2,021
Real-Time Visual Analysis of High-Volume Social Media Posts
10.1109/TVCG.2021.3114800
Breaking news and first-hand reports often trend on social media platforms before traditional news outlets cover them. The real-time analysis of posts on such platforms can reveal valuable and timely insights for journalists, politicians, business analysts, and first responders, but the high number and diversity of new...
false
false
[ "Johannes Knittel", "Steffen Koch 0001", "Tan Tang", "Wei Chen 0001", "Yingcai Wu", "Shixia Liu", "Thomas Ertl" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03052v1", "icon": "paper" } ]
Vis
2,021
Rethinking the Ranks of Visual Channels
10.1109/TVCG.2021.3114684
Data can be visually represented using visual channels like position, length or luminance. An existing ranking of these visual channels is based on how accurately participants could report the ratio between two depicted values. There is an assumption that this ranking should hold for different tasks and for different n...
false
false
[ "Caitlyn M. McColeman", "Fumeng Yang", "Timothy F. Brady", "Steven Franconeri" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.11367v1", "icon": "paper" } ]
Vis
2,021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
10.1109/TVCG.2021.3114694
Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual exploration of cluster structures of high-dimensional datasets. However, different DR techniques would yield various patterns, which significantly affect the performance of visual cluster analysis tasks. We present the results of a u...
false
false
[ "Jiazhi Xia", "Yuchen Zhang", "Jie Song", "Yang Chen", "Yunhai Wang", "Shixia Liu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.02894v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/aNjcy5KLfd8", "icon": "video" } ]
Vis
2,021
Rotate or Wrap? Interactive Visualisations of Cyclical Data on Cylindrical or Toroidal Topologies
10.1109/TVCG.2021.3114693
In this paper, we report on a study of visual representations for cyclical data and the effect of interactively wrapping a bar chart ‘around its boundaries’. Compared to linear bar chart, polar (or radial) visualisations have the advantage that cyclical data can be presented continuously without mentally bridging the v...
false
false
[ "Kun-Ting Chen", "Tim Dwyer", "Benjamin Bach", "Kim Marriott" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/-SMB0pJ17rI", "icon": "video" } ]
Vis
2,021
Scope2Screen: Focus+Context Techniques for Pathology Tumor Assessment in Multivariate Image Data
10.1109/TVCG.2021.3114786
Inspection of tissues using a light microscope is the primary method of diagnosing many diseases, notably cancer. Highly multiplexed tissue imaging builds on this foundation, enabling the collection of up to 60 channels of molecular information plus cell and tissue morphology using antibody staining. This provides uniq...
false
false
[ "Jared Jessup", "Robert Krüger", "Simon Warchol", "John Hoffer", "Jeremy Muhlich", "Cecily C. Ritch", "Giorgio Gaglia", "Shannon Coy", "Yu-An Chen", "Jia-Ren Lin", "Sandro Santagata", "Peter K. Sorger", "Hanspeter Pfister" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2110.04875v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Y2tGl2r8v6U", "icon": "video" } ]
Vis
2,021
Seek for Success: A Visualization Approach for Understanding the Dynamics of Academic Careers
10.1109/TVCG.2021.3114790
How to achieve academic career success has been a long-standing research question in social science research. With the growing availability of large-scale well-documented academic profiles and career trajectories, scholarly interest in career success has been reinvigorated, which has emerged to be an active research do...
false
false
[ "Yifang Wang 0001", "Tai-Quan Peng", "Huihua Lu", "Haoren Wang", "Xiao Xie", "Huamin Qu", "Yingcai Wu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03381v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/vXNPPudEGtg", "icon": "video" } ]
Vis
2,021
Semantic Snapping for Guided Multi-View Visualization Design
10.1109/TVCG.2021.3114860
Visual information displays are typically composed of multiple visualizations that are used to facilitate an understanding of the underlying data. A common example are dashboards, which are frequently used in domains such as finance, process monitoring and business intelligence. However, users may not be aware of exist...
false
false
[ "Yngve Sekse Kristiansen", "Laura A. Garrison", "Stefan Bruckner" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.08384v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/YZ95jlPuym8", "icon": "video" } ]
Vis
2,021
Sequen-C: A Multilevel Overview of Temporal Event Sequences
10.1109/TVCG.2021.3114868
Building a visual overview of temporal event sequences with an optimal level-of-detail (i.e. simplified but informative) is an ongoing challenge - expecting the user to zoom into every important aspect of the overview can lead to missing insights. We propose a technique to build a multilevel overview of event sequences...
false
false
[ "Jessica Magallanes", "Tony Stone", "Paul D. Morris", "Suzanne Mason", "Steven Wood", "Maria-Cruz Villa-Uriol" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03043v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/cbii6AHG9Oo", "icon": "video" } ]
Vis
2,021
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making
10.1109/TVCG.2021.3114864
Machine learning (ML) is being applied to a diverse and ever-growing set of domains. In many cases, domain experts - who often have no expertise in ML or data science - are asked to use ML predictions to make high-stakes decisions. Multiple ML usability challenges can appear as result, such as lack of user trust in the...
false
false
[ "Alexandra Zytek", "Dongyu Liu", "Rhema Vaithianathan", "Kalyan Veeramachaneni" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2103.02071v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ClATgmKwVCs", "icon": "video" } ]
Vis
2,021
SightBi: Exploring Cross-View Data Relationships with Biclusters
10.1109/TVCG.2021.3114801
Multiple-view visualization (MV) has been heavily used in visual analysis tools for sensemaking of data in various domains (e.g., bioinformatics, cybersecurity and text analytics). One common task of visual analysis with multiple views is to relate data across different views. For example, to identify threats, an intel...
false
false
[ "Maoyuan Sun", "Abdul Rahman Shaikh", "Hamed Alhoori", "Jian Zhao 0010" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.01044v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/yF3sUH1gQBQ", "icon": "video" } ]
Vis
2,021
Simultaneous Matrix Orderings for Graph Collections
10.1109/TVCG.2021.3114773
Undirected graphs are frequently used to model phenomena that deal with interacting objects, such as social networks, brain activity and communication networks. The topology of an undirected graph $G$ can be captured by an adjacency matrix; this matrix in turn can be visualized directly to give insight into the graph s...
false
false
[ "Nathan van Beusekom", "Wouter Meulemans", "Bettina Speckmann" ]
[ "BP" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.12050v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/0BIMBxNBSgk", "icon": "video" }, { "name": "Prerecorded Talk", "url": "https://youtu.be/xbmXg0xDPFs?si=Olp2i2bwJrMApmNi", "icon": ...
Vis
2,021
SPEULER: Semantics-preserving Euler Diagrams
10.1109/TVCG.2021.3114834
Creating comprehensible visualizations of highly overlapping set-typed data is a challenging task due to its complexity. To facilitate insights into set connectivity and to leverage semantic relations between intersections, we propose a fast two-step layout technique for Euler diagrams that are both well-matched and we...
false
false
[ "Rebecca Kehlbeck", "Jochen Görtler", "Yunhai Wang", "Oliver Deussen" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03529v1", "icon": "paper" } ]
Vis
2,021
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes
10.1109/TVCG.2021.3114815
We present STNet, an end-to-end generative framework that synthesizes spatiotemporal super-resolution volumes with high fidelity for time-varying data. STNet includes two modules: a generator and a spatiotemporal discriminator. The input to the generator is two low-resolution volumes at both ends, and the output is the...
false
false
[ "Jun Han 0010", "Hao Zheng 0006", "Danny Ziyi Chen", "Chaoli Wang 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/AezFUomjfzI", "icon": "video" } ]
Vis
2,021
STRATISFIMAL LAYOUT: A modular optimization model for laying out layered node-link network visualizations
10.1109/TVCG.2021.3114756
Node-link visualizations are a familiar and powerful tool for displaying the relationships in a network. The readability of these visualizations highly depends on the spatial layout used for the nodes. In this paper, we focus on computing layered layouts, in which nodes are aligned on a set of parallel axes to better e...
false
false
[ "Sara Di Bartolomeo", "Mirek Riedewald", "Wolfgang Gatterbauer", "Cody Dunne" ]
[]
[]
[]
Vis
2,021
TacticFlow: Visual Analytics of Ever-Changing Tactics in Racket Sports
10.1109/TVCG.2021.3114832
Event sequence mining is often used to summarize patterns from hundreds of sequences but faces special challenges when handling racket sports data. In racket sports (e.g., tennis and badminton), a player hitting the ball is considered a multivariate event consisting of multiple attributes (e.g., hit technique and ball ...
false
false
[ "Jiang Wu", "Dongyu Liu", "Ziyang Guo", "Qingyang Xu", "Yingcai Wu" ]
[]
[]
[]
Vis
2,021
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy
10.1109/TVCG.2021.3114810
Although cancer patients survive years after oncologic therapy, they are plagued with long-lasting or permanent residual symptoms, whose severity, rate of development, and resolution after treatment vary largely between survivors. The analysis and interpretation of symptoms is complicated by their partial co-occurrence...
false
false
[ "Carla Floricel", "Nafiul Nipu", "Mikayla Biggs", "Andrew Wentzel", "Guadalupe Canahuate", "Lisanne van Dijk", "Abdallah Sherif Radwan Mohamed", "Clifton D. Fuller", "G. Elisabeta Marai" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.02817v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/HXuYC6NimSg", "icon": "video" } ]
Vis
2,021
The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots
10.1109/TVCG.2021.3114783
Scatterplots can encode a third dimension by using additional channels like size or color (e.g. bubble charts). We explore a potential misinterpretation of trivariate scatterplots, which we call the weighted average illusion, where locations of larger and darker points are given more weight toward x- and y-mean estimat...
false
false
[ "Matt-Heun Hong", "Jessica K. Witt", "Danielle Albers Szafir" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03766v1", "icon": "paper" } ]
Vis
2,021
ThreadStates: State-based Visual Analysis of Disease Progression
10.1109/TVCG.2021.3114840
A growing number of longitudinal cohort studies are generating data with extensive patient observations across multiple timepoints. Such data offers promising opportunities to better understand the progression of diseases. However, these observations are usually treated as general events in existing visual analysis too...
false
false
[ "Qianwen Wang", "Tali Mazor", "Theresa Harbig", "Ethan Cerami", "Nils Gehlenborg" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/vcskm", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/BuripTHkSKk", "icon": "video" } ]
Vis
2,021
TIVEE: Visual Exploration and Explanation of Badminton Tactics in Immersive Visualizations
10.1109/TVCG.2021.3114861
Tactic analysis is a major issue in badminton as the effective usage of tactics is the key to win. The tactic in badminton is defined as a sequence of consecutive strokes. Most existing methods use statistical models to find sequential patterns of strokes and apply 2D visualizations such as glyphs and statistical chart...
false
false
[ "Xiangtong Chu", "Xiao Xie", "Shuainan Ye", "Haolin Lu", "Hongguang Xiao", "Zeqing Yuan", "Zhutian Chen", "Hui Zhang 0051", "Yingcai Wu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/9iJprmMHhfc", "icon": "video" } ]
Vis
2,021
Towards replacing physical testing of granular materials with a Topology-based Model
10.1109/TVCG.2021.3114819
In the study of packed granular materials, the performance of a sample (e.g., the detonation of a high-energy explosive) often correlates to measurements of a fluid flowing through it. The “effective surface area,” the surface area accessible to the airflow, is typically measured using a permeametry apparatus that rela...
false
false
[ "Aniketh Venkat", "Attila Gyulassy", "Graham Kosiba", "Amitesh Maiti", "Henry Reinstein", "Richard Gee", "Peer-Timo Bremer", "Valerio Pascucci" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.08777v1", "icon": "paper" } ]
Vis
2,021
Towards Understanding Sensory Substitution for Accessible Visualization: An Interview Study
10.1109/TVCG.2021.3114829
For all its potential in supporting data analysis, particularly in exploratory situations, visualization also creates barriers: accessibility for blind and visually impaired individuals. Regardless of how effective a visualization is, providing equal access for blind users requires a paradigm shift for the visualizatio...
false
false
[ "Pramod Chundury", "Biswaksen Patnaik", "Yasmin Reyazuddin", "Christine Tang", "Jonathan Lazar", "Niklas Elmqvist" ]
[]
[]
[]
Vis
2,021
Towards Visual Explainable Active Learning for Zero-Shot Classification
10.1109/TVCG.2021.3114793
Zero-shot classification is a promising paradigm to solve an applicable problem when the training classes and test classes are disjoint. Achieving this usually needs experts to externalize their domain knowledge by manually specifying a class-attribute matrix to define which classes have which attributes. Designing a s...
false
false
[ "Shichao Jia", "Zeyu Li 0003", "Nuo Chen", "Jiawan Zhang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.06730v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uDq00Plsct4", "icon": "video" } ]
Vis
2,021
Understanding Data Visualization Design Practice
10.1109/TVCG.2021.3114959
Professional roles for data visualization designers are growing in popularity, and interest in relationships between the academic research and professional practice communities is gaining traction. However, despite the potential for knowledge sharing between these communities, we have little understanding of the ways i...
false
false
[ "Paul Parsons" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.07855v1", "icon": "paper" } ]
Vis
2,021
Untidy Data: The Unreasonable Effectiveness of Tables
10.1109/TVCG.2021.3114830
Working with data in table form is usually considered a preparatory and tedious step in the sensemaking pipeline; a way of getting the data ready for more sophisticated visualization and analytical tools. But for many people, spreadsheets — the quintessential table tool — remain a critical part of their information eco...
false
false
[ "Lyn Bartram", "Michael Correll", "Melanie Tory" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2106.15005v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/XZl6DopUlDo", "icon": "video" } ]
Vis
2,021
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
10.1109/TVCG.2021.3114836
Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model transparency and interpretability limit their adoption in clinical practice. Directly using existing explainable ML techniques in clinical ...
false
false
[ "Furui Cheng", "Dongyu Liu", "Fan Du", "Yanna Lin", "Alexandra Zytek", "Haomin Li", "Huamin Qu", "Kalyan Veeramachaneni" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.02550v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/PnAxWRLKgFY", "icon": "video" } ]
Vis
2,021
VideoModerator: A Risk-aware Framework for Multimodal Video Moderation in E-Commerce
10.1109/TVCG.2021.3114781
Video moderation, which refers to remove deviant or explicit content from e-commerce livestreams, has become prevalent owing to social and engaging features. However, this task is tedious and time consuming due to the difficulties associated with watching and reviewing multimodal video content, including video frames a...
false
false
[ "Tan Tang", "Yanhong Wu", "Yingcai Wu", "Lingyun Yu 0001", "Yuhong Li" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2109.03479v1", "icon": "paper" } ]
Vis
2,021
VisQA: X-raying Vision and Language Reasoning in Transformers
10.1109/TVCG.2021.3114683
Visual Question Answering systems target answering open-ended textual questions given input images. They are a testbed for learning high-level reasoning with a primary use in HCI, for instance assistance for the visually impaired. Recent research has shown that state-of-the-art models tend to produce answers exploiting...
false
false
[ "Theo Jaunet", "Corentin Kervadec", "Romain Vuillemot", "Grigory Antipov", "Moez Baccouche", "Christian Wolf 0001" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2104.00926v2", "icon": "paper" } ]
Vis
2,021
Visual Analysis of Hyperproperties for Understanding Model Checking Results
10.1109/TVCG.2021.3114866
Model checkers provide algorithms for proving that a mathematical model of a system satisfies a given specification. In case of a violation, a counterexample that shows the erroneous behavior is returned. Understanding these counterexamples is challenging, especially for hyperproperty specifications, i.e., specificatio...
false
false
[ "Tom Horak", "Norine Coenen", "Niklas Metzger 0001", "Christopher Hahn", "Tamara Flemisch", "Julián Méndez 0001", "Dennis Dimov", "Bernd Finkbeiner", "Raimund Dachselt" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.03698v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/Si3Hw35NWXg", "icon": "video" } ]
Vis
2,021
Visual Arrangements of Bar Charts Influence Comparisons in Viewer Takeaways
10.1109/TVCG.2021.3114823
Well-designed data visualizations can lead to more powerful and intuitive processing by a viewer. To help a viewer intuitively compare values to quickly generate key takeaways, visualization designers can manipulate how data values are arranged in a chart to afford particular comparisons. Using simple bar charts as a c...
false
false
[ "Cindy Xiong", "Vidya Setlur", "Benjamin Bach", "Eunyee Koh", "Kylie Lin", "Steven Franconeri" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.06370v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/uQWXEvr8Qlc", "icon": "video" } ]
Vis
2,021
Visual Evaluation for Autonomous Driving
10.1109/TVCG.2021.3114777
Autonomous driving technologies often use state-of-the-art artificial intelligence algorithms to understand the relationship between the vehicle and the external environment, to predict the changes of the environment, and then to plan and control the behaviors of the vehicle accordingly. The complexity of such technolo...
false
false
[ "Yijie Hou", "Chengshun Wang", "Junhong Wang", "Xiangyang Xue", "Xiaolong Zhang 0001", "Jun Zhu", "Dongliang Wang", "Siming Chen 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/r2DuL5JMX_0", "icon": "video" } ]
Vis
2,021
Visualization Equilibrium
10.1109/TVCG.2021.3114842
In many real-world strategic settings, people use information displays to make decisions. In these settings, an information provider chooses which information to provide to strategic agents and how to present it, and agents formulate a best response based on the information and their anticipation of how others will beh...
false
false
[ "Paula Kayongo", "Glenn Sun", "Jason D. Hartline", "Jessica Hullman" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.04953v1", "icon": "paper" } ]
Vis
2,021
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs)
10.1109/TVCG.2021.3114679
Probabilistic graphs are challenging to visualize using the traditional node-link diagram. Encoding edge probability using visual variables like width or fuzziness makes it difficult for users of static network visualizations to estimate network statistics like densities, isolates, path lengths, or clustering under unc...
false
false
[ "Dongping Zhang", "Eytan Adar", "Jessica Hullman" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.09870v1", "icon": "paper" } ]
Vis
2,021
VITALITY: Promoting Serendipitous Discovery of Academic Literature with Transformers & Visual Analytics
10.1109/TVCG.2021.3114820
There are a few prominent practices for conducting reviews of academic literature, including searching for specific keywords on Google Scholar or checking citations from some initial seed paper(s). These approaches serve a critical purpose for academic literature reviews, yet there remain challenges in identifying rele...
false
false
[ "Arpit Narechania", "Alireza Karduni", "Ryan Wesslen", "Emily Wall" ]
[]
[]
[]
Vis
2,021
VizLinter: A Linter and Fixer Framework for Data Visualization
10.1109/TVCG.2021.3114804
Despite the rising popularity of automated visualization tools, existing systems tend to provide direct results which do not always fit the input data or meet visualization requirements. Therefore, additional specification adjustments are still required in real-world use cases. However, manual adjustments are difficult...
false
false
[ "Qing Chen 0001", "Fuling Sun", "Xinyue Xu", "Zui Chen", "Jiazhe Wang", "Nan Cao" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2108.10299v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/GGLacuuuUdo", "icon": "video" } ]
Vis
2,021
VizSnippets: Compressing Visualization Bundles Into Representative Previews for Browsing Visualization Collections
10.1109/TVCG.2021.3114841
Visualization collections, accessed by platforms such as Tableau Online or Power Bl, are used by millions of people to share and access diverse analytical knowledge in the form of interactive visualization bundles. Result snippets, compact previews of these bundles, are presented to users to help them identify relevant...
false
false
[ "Michael Oppermann", "Tamara Munzner" ]
[ "HM" ]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/3Wrf2_kXLEg", "icon": "video" } ]
Vis
2,021
Wasserstein Distances, Geodesics and Barycenters of Merge Trees
10.1109/TVCG.2021.3114839
This paper presents a unified computational framework for the estimation of distances, geodesics and barycenters of merge trees. We extend recent work on the edit distance [104] and introduce a new metric, called the Wasserstein distance between merge trees, which is purposely designed to enable efficient computations ...
false
false
[ "Mathieu Pont", "Jules Vidal", "Julie Delon", "Julien Tierny" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2107.07789v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/ifVvH0uMW6k", "icon": "video" } ]
Vis
2,021
What's the Situation with Situated Visualization? A Survey and Perspectives on Situatedness
10.1109/TVCG.2021.3114835
Situated visualization is an emerging concept within visualization, in which data is visualized in situ, where it is relevant to people. The concept has gained interest from multiple research communities, including visualization, human-computer interaction (HCI) and augmented reality. This has led to a range of explora...
false
false
[ "Nathalie Bressa", "Henrik Korsgaard", "Aurélien Tabard", "Steven Houben", "Jo Vermeulen" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/fzHGkDlVKdc", "icon": "video" } ]
Vis
2,021
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects
10.1109/TVCG.2021.3114855
Semantic segmentation is a critical component in autonomous driving and has to be thoroughly evaluated due to safety concerns. Deep neural network (DNN) based semantic segmentation models are widely used in autonomous driving. However, it is challenging to evaluate DNN-based models due to their black-box-like nature, a...
false
false
[ "Wenbin He", "Lincan Zou", "Arvind Kumar Shekar", "Liang Gou", "Ren Liu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/8vEHnlzLMes", "icon": "video" } ]
EuroVis
2,021
A Deeper Understanding of Visualization-Text Interplay in Geographic Data-driven Stories
10.1111/cgf.14309
Data‐driven stories comprise of visualizations and a textual narrative. The two representations coexist and complement each other. Although existing research has explored the design strategies and structure of such stories, it remains an open research question how the two representations play together on a detailed lev...
false
false
[ "Shahid Latif", "Siming Chen 0001", "Fabian Beck 0001" ]
[]
[]
[]
EuroVis
2,021
A novel approach for exploring annotated data with interactive lenses
10.1111/cgf.14315
We introduce a novel approach for assisting users in exploring 2D data representations with an interactive lens. Focus‐and‐context exploration is supported by translating user actions to the joint adjustments in camera and lens parameters that ensure a good placement and sizing of the lens within the view. This general...
false
false
[ "Fabio Bettio", "Moonisa Ahsan", "Fabio Marton", "Enrico Gobbetti" ]
[]
[]
[]
EuroVis
2,021
A Progressive Approach for Uncertainty Visualization in Diffusion Tensor Imaging
10.1111/cgf.14317
Diffusion Tensor Imaging (DTI) is a non‐invasive magnetic resonance imaging technique that, combined with fiber tracking algorithms, allows the characterization and visualization of white matter structures in the brain. The resulting fiber tracts are used, for example, in tumor surgery to evaluate the potential brain f...
false
false
[ "Faizan Siddiqui", "Thomas Höllt", "Anna Vilanova" ]
[]
[]
[]
EuroVis
2,021
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning
10.1111/cgf.14329
Visual analytics systems integrate interactive visualizations and machine learning to enable expert users to solve complex analysis tasks. Applications combine techniques from various fields of research and are consequently not trivial to evaluate. The result is a lack of structure and comparability between evaluations...
false
false
[ "Fabian Sperrle", "Mennatallah El-Assady", "Grace Guo", "Rita Borgo", "Duen Horng Chau", "Alex Endert", "Daniel A. Keim" ]
[]
[]
[]
EuroVis
2,021
A Visual Designer of Layer-wise Relevance Propagation Models
10.1111/cgf.14302
Layer‐wise Relevance Propagation (LRP) is an emerging and widely‐used method for interpreting the prediction results of convolutional neural networks (CNN). LRP developers often select and employ different relevance backpropagation rules and parameters, to compute relevance scores on input images. However, there exists...
false
false
[ "Xinyi Huang", "Suphanut Jamonnak", "Ye Zhao 0003", "Tsung Heng Wu", "Wei Xu 0020" ]
[]
[]
[]
EuroVis
2,021
Accessible Visualization: Design Space, Opportunities, and Challenges
10.1111/cgf.14298
Visualizations are now widely used across disciplines to understand and communicate data. The benefit of visualizations lies in leveraging our natural visual perception. However, the sole dependency on vision can produce unintended discrimination against people with visual impairments. While the visualization field has...
false
false
[ "Nam Wook Kim", "Shakila Cherise Joyner", "Amalia Riegelhuth", "Yea-Seul Kim" ]
[]
[]
[]
EuroVis
2,021
Animated Presentation of Static Infographics with InfoMotion
10.1111/cgf.14325
By displaying visual elements logically in temporal order, animated infographics can help readers better understand layers of information expressed in an infographic. While many techniques and tools target the quick generation of static infographics, few support animation designs. We propose InfoMotion that automatical...
false
false
[ "Yun Wang 0012", "Yi Gao", "Ray Huang", "Weiwei Cui", "Haidong Zhang", "Dongmei Zhang 0001" ]
[]
[]
[]