Split (1)

train · 6.25k rows

Conference stringclasses 6 values	Year int64 1.99k 2.03k	Title stringlengths 8 187	DOI stringlengths 16 32	Abstract stringlengths 128 7.15k ⌀	Accessible bool 2 classes	Early bool 2 classes	AuthorNames-Deduped listlengths 1 29	Award listlengths 0 2	Resources listlengths 0 5	ResourceLinks listlengths 0 10
SciVis	2,019	Toward Localized Topological Data Structures: Querying the Forest for the Tree	10.1109/TVCG.2019.2934257	Topological approaches to data analysis can answer complex questions about the number, connectivity, and scale of intrinsic features in scalar data. However, the global nature of many topological structures makes their computation challenging at scale, and thus often limits the size of data that can be processed. One k...	false	false	[ "Pavol Klacansky", "Attila Gyulassy", "Peer-Timo Bremer", "Valerio Pascucci" ]	[ "HM" ]	[]	[]
SciVis	2,019	TSR-TVD: Temporal Super-Resolution for Time-Varying Data Analysis and Visualization	10.1109/TVCG.2019.2934255	We present TSR-TVD, a novel deep learning framework that generates temporal super-resolution (TSR) of time-varying data (TVD) using adversarial learning. TSR-TVD is the first work that applies the recurrent generative network (RGN), a combination of the recurrent neural network (RNN) and generative adversarial network ...	false	false	[ "Jun Han 0010", "Chaoli Wang 0001" ]	[]	[]	[]
SciVis	2,019	Vector Field Topology of Time-Dependent Flows in a Steady Reference Frame	10.1109/TVCG.2019.2934375	The topological analysis of unsteady vector fields remains to this day one of the largest challenges in flow visualization. We build up on recent work on vortex extraction to define a time-dependent vector field topology for 2D and 3D flows. In our work, we split the vector field into two components: a vector field in ...	false	false	[ "Irene Baeza Rojo", "Tobias Günther" ]	[]	[]	[]
SciVis	2,019	Void-and-Cluster Sampling of Large Scattered Data and Trajectories	10.1109/TVCG.2019.2934335	We propose a data reduction technique for scattered data based on statistical sampling. Our void-and-cluster sampling technique finds a representative subset that is optimally distributed in the spatial domain with respect to the blue noise property. In addition, it can adapt to a given density function, which we use t...	false	false	[ "Tobias Rapp", "Christoph Peters 0002", "Carsten Dachsbacher" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.05073v2", "icon": "paper" } ]
InfoVis	2,019	A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones	10.1109/TVCG.2019.2934397	We compare the efficacy of animated and small multiples variants of scatterplots on mobile phones for comparing trends in multivariate datasets. Visualization is increasingly prevalent in mobile applications and mobile-first websites, yet there is little prior visualization research dedicated to small displays. In this...	false	false	[ "Matthew Brehmer", "Bongshin Lee", "Petra Isenberg", "Eun Kyoung Choe" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.03919v2", "icon": "paper" } ]
InfoVis	2,019	A Comparison of Radial and Linear Charts for Visualizing Daily Patterns	10.1109/TVCG.2019.2934784	Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be naturally supported by the radial layout. It has been demonstrated that the drawbacks of radial charts outweigh the benefits of this natural mapp...	false	false	[ "Manuela Waldner", "Alexandra Diehl", "Denis Gracanin", "Rainer Splechtna", "Claudio Delrieux", "Kresimir Matkovic" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.13534v1", "icon": "paper" } ]
InfoVis	2,019	A Comparison of Visualizations for Identifying Correlation over Space and Time	10.1109/TVCG.2019.2934807	Observing the relationship between two or more variables over space and time is essential in many domains. For instance, looking, for different countries, at the evolution of both the life expectancy at birth and the fertility rate will give an overview of their demographics. The choice of visual representation for suc...	false	false	[ "Vanessa Peña Araya", "Emmanuel Pietriga", "Anastasia Bezerianos" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.06399v2", "icon": "paper" } ]
InfoVis	2,019	A Deep Generative Model for Graph Layout	10.1109/TVCG.2019.2934396	Different layouts can characterize different aspects of the same graph. Finding a “good” layout of a graph is thus an important task for graph visualization. In practice, users often visualize a graph in multiple layouts by using different methods and varying parameter settings until they find a layout that best suits ...	false	false	[ "Oh-Hyun Kwon", "Kwan-Liu Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1904.12225v7", "icon": "paper" } ]
InfoVis	2,019	A Recursive Subdivision Technique for Sampling Multi-class Scatterplots	10.1109/TVCG.2019.2934541	We present a non-uniform recursive sampling technique for multi-class scatterplots, with the specific goal of faithfully presenting relative data and class densities, while preserving major outliers in the plots. Our technique is based on a customized binary kd-tree, in which leaf nodes are created by recursively subdi...	false	false	[ "Xin Chen", "Tong Ge", "Jian Zhang 0070", "Baoquan Chen", "Chi-Wing Fu", "Oliver Deussen", "Yunhai Wang" ]	[]	[]	[]
InfoVis	2,019	An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data	10.1109/TVCG.2019.2934433	Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing multidimensional data. However, when data is a live streaming feed, conventional DR methods cannot be directly used because of their computational complexity and inability to preserve the projected data positions at previous time poin...	false	false	[ "Takanori Fujiwara", "Jia-Kai Chou", "Shilpika", "Panpan Xu", "Ren Liu", "Kwan-Liu Ma" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1905.04000v3", "icon": "paper" } ]
InfoVis	2,019	BarcodeTree: Scalable Comparison of Multiple Hierarchies	10.1109/TVCG.2019.2934535	We propose BarcodeTree (BCT), a novel visualization technique for comparing topological structures and node attribute values of multiple trees. BCT can provide an overview of one hundred shallow and stable trees simultaneously, without aggregating individual nodes. Each BCT is shown within a single row using a style si...	false	false	[ "Guozheng Li 0002", "Yu Zhang 0043", "Yu Dong", "Christy Jie Liang", "Jinson Zhang", "Jinsong Wang", "Michael J. McGuffin", "Xiaoru Yuan" ]	[]	[]	[]
InfoVis	2,019	Biased Average Position Estimates in Line and Bar Graphs: Underestimation, Overestimation, and Perceptual Pull	10.1109/TVCG.2019.2934400	In visual depictions of data, position (i.e., the vertical height of a line or a bar) is believed to be the most precise way to encode information compared to other encodings (e.g., hue). Not only are other encodings less precise than position, but they can also be prone to systematic biases (e.g., color category bound...	false	false	[ "Cindy Xiong", "Cristina R. Ceja", "Casimir J. H. Ludwig", "Steven Franconeri" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00073v1", "icon": "paper" } ]
InfoVis	2,019	CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Artery Network Visualization	10.1109/TVCG.2019.2934402	Blood circulation in the human brain is supplied through a network of cerebral arteries. If a clinician suspects a patient has a stroke or other cerebrovascular condition, they order imaging tests. Neuroradiologists visually search the resulting scans for abnormalities. Their visual search tasks correspond to the abstr...	false	false	[ "Aditeya Pandey", "Harsh Shukla", "Geoffrey S. Young", "Lei Qin", "Amir A. Zamani", "Liangge Hsu", "Raymond Huang", "Cody Dunne", "Michelle Borkin" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/63y5c", "icon": "paper" } ]
InfoVis	2,019	Color Crafting: Automating the Construction of Designer Quality Color Ramps	10.1109/TVCG.2019.2934284	Visualizations often encode numeric data using sequential and diverging color ramps. Effective ramps use colors that are sufficiently discriminable, align well with the data, and are aesthetically pleasing. Designers rely on years of experience to create high-quality color ramps. However, it is challenging for novice v...	false	false	[ "Stephen Smart", "Keke Wu", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00629v1", "icon": "paper" } ]
InfoVis	2,019	Common Fate for Animated Transitions in Visualization	10.1109/TVCG.2019.2934288	The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped. However, the concept of common fate is much broader than mere velocity; in this paper we explore how common fate results from coordinated ...	false	false	[ "Amira Chalbi", "Jacob Ritchie", "Deok Gun Park 0001", "Jungu Choi", "Nicolas Roussel 0001", "Niklas Elmqvist", "Fanny Chevalier" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00661v1", "icon": "paper" } ]
InfoVis	2,019	Construct-A-Vis: Exploring the Free-Form Visualization Processes of Children	10.1109/TVCG.2019.2934804	Building data analysis skills is part of modern elementary school curricula. Recent research has explored how to facilitate children's understanding of visual data representations through completion exercises which highlight links between concrete and abstract mappings. This approach scaffolds visualization activities ...	false	false	[ "Fearn Bishop", "Johannes Zagermann", "Ulrike Pfeil", "Gemma Sanderson", "Harald Reiterer", "Uta Hinrichs" ]	[]	[]	[]
InfoVis	2,019	Criteria for Rigor in Visualization Design Study	10.1109/TVCG.2019.2934539	We develop a new perspective on research conducted through visualization design study that emphasizes design as a method of inquiry and the broad range of knowledge-contributions achieved through it as multiple, subjective, and socially constructed. From this interpretivist position we explore the nature of visualizati...	false	false	[ "Miriah D. Meyer", "Jason Dykes" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.08495v2", "icon": "paper" } ]
InfoVis	2,019	Critical Reflections on Visualization Authoring Systems	10.1109/TVCG.2019.2934281	An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, system architectures, and user interfaces, it is challenging to directly compare these systems using traditional evaluative methods. Recognizing...	false	false	[ "Arvind Satyanarayan", "Bongshin Lee", "Donghao Ren", "Jeffrey Heer", "John T. Stasko", "John Thompson 0002", "Matthew Brehmer", "Zhicheng Liu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.13568v1", "icon": "paper" } ]
InfoVis	2,019	Data by Proxy — Material Traces as Autographic Visualizations	10.1109/TVCG.2019.2934788	Information visualization limits itself, per definition, to the domain of symbolic information. This paper discusses arguments why the field should also consider forms of data that are not symbolically encoded, including physical traces and material indicators. Continuing a provocation presented by Pat Hanrahan in his ...	false	false	[ "Dietmar Offenhuber" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.05454v1", "icon": "paper" } ]
InfoVis	2,019	Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff	10.1109/TVCG.2019.2934538	Complex data visualization design projects often entail collaboration between people with different visualization-related skills. For example, many teams include both designers who create new visualization designs and developers who implement the resulting visualization software. We identify gaps between data character...	false	false	[ "Jagoda Walny", "Christian Frisson", "Mieka West", "Doris Kosminsky", "Søren Knudsen", "Sheelagh Carpendale", "Wesley Willett" ]	[ "BP" ]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00192v1", "icon": "paper" } ]
InfoVis	2,019	Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization	10.1109/TVCG.2019.2934799	We present a method for data sampling in scatterplots by jointly optimizing point selection for different views or classes. Our method uses space-filling curves (Z-order curves) that partition a point set into subsets that, when covered each by one sample, provide a sampling or coreset with good approximation guarantee...	false	false	[ "Ruizhen Hu", "Tingkai Sha", "Oliver van Kaick", "Oliver Deussen", "Hui Huang 0004" ]	[]	[]	[]
InfoVis	2,019	DataShot: Automatic Generation of Fact Sheets from Tabular Data	10.1109/TVCG.2019.2934398	Fact sheets with vivid graphical design and intriguing statistical insights are prevalent for presenting raw data. They help audiences understand data-related facts effectively and make a deep impression. However, designing a fact sheet requires both data and design expertise and is a laborious and time-consuming proce...	false	false	[ "Yun Wang 0012", "Zhida Sun", "Haidong Zhang", "Weiwei Cui", "Ke Xu", "Xiaojuan Ma", "Dongmei Zhang 0001" ]	[]	[]	[]
InfoVis	2,019	Decoding a Complex Visualization in a Science Museum – An Empirical Study	10.1109/TVCG.2019.2934401	This study describes a detailed analysis of museum visitors' decoding process as they used a visualization designed to support exploration of a large, complex dataset. Quantitative and qualitative analyses revealed that it took, on average, 43 seconds for visitors to decode enough of the visualization to see patterns a...	false	false	[ "Joyce Ma", "Kwan-Liu Ma", "Jennifer Frazier" ]	[]	[]	[]
InfoVis	2,019	DeepDrawing: A Deep Learning Approach to Graph Drawing	10.1109/TVCG.2019.2934798	Node-link diagrams are widely used to facilitate network explorations. However, when using a graph drawing technique to visualize networks, users often need to tune different algorithm-specific parameters iteratively by comparing the corresponding drawing results in order to achieve a desired visual effect. This trial ...	false	false	[ "Yong Wang 0021", "Zhihua Jin", "Qianwen Wang", "Weiwei Cui", "Tengfei Ma 0001", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.11040v3", "icon": "paper" } ]
InfoVis	2,019	Design by Immersion: A Transdisciplinary Approach to Problem-Driven Visualizations	10.1109/TVCG.2019.2934790	While previous work exists on how to conduct and disseminate insights from problem-driven visualization projects and design studies, the literature does not address how to accomplish these goals in transdisciplinary teams in ways that advance all disciplines involved. In this paper we introduce and define a new methodo...	false	false	[ "Kyle Wm. Hall", "Adam James Bradley", "Uta Hinrichs", "Samuel Huron", "Jo Wood", "Christopher Collins 0001", "Sheelagh Carpendale" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00559v2", "icon": "paper" } ]
InfoVis	2,019	Designing for Mobile and Immersive Visual Analytics in the Field	10.1109/TVCG.2019.2934282	Data collection and analysis in the field is critical for operations in domains such as environmental science and public safety. However, field workers currently face data- and platform-oriented issues in efficient data collection and analysis in the field, such as limited connectivity, screen space, and attentional re...	false	false	[ "Matt Whitlock", "Keke Wu", "Danielle Albers Szafir" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00680v1", "icon": "paper" } ]
InfoVis	2,019	Discriminability Tests for Visualization Effectiveness and Scalability	10.1109/TVCG.2019.2934432	The scalability of a particular visualization approach is limited by the ability for people to discern differences between plots made with different datasets. Ideally, when the data changes, the visualization changes in perceptible ways. This relation breaks down when there is a mismatch between the encoding and the ch...	false	false	[ "Rafael Veras", "Christopher Collins 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.11358v1", "icon": "paper" } ]
InfoVis	2,019	Estimating Color-Concept Associations from Image Statistics	10.1109/TVCG.2019.2934536	To interpret the meanings of colors in visualizations of categorical information, people must determine how distinct colors correspond to different concepts. This process is easier when assignments between colors and concepts in visualizations match people's expectations, making color palettes semantically interpretabl...	false	false	[ "Ragini Rathore", "Zachary Leggon", "Laurent Lessard", "Karen B. Schloss" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00220v2", "icon": "paper" } ]
InfoVis	2,019	Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration	10.1109/TVCG.2019.2934415	A Space-Time Cube enables analysts to clearly observe spatio-temporal features in movement trajectory datasets in geovisualization. However, its general usability is impacted by a lack of depth cues, a reported steep learning curve, and the requirement for efficient 3D navigation. In this work, we investigate a Space-T...	false	false	[ "Jorge A. Wagner Filho", "Wolfgang Stuerzlinger", "Luciana Porcher Nedel" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00580v2", "icon": "paper" } ]
InfoVis	2,019	GenerativeMap: Visualization and Exploration of Dynamic Density Maps via Generative Learning Model	10.1109/TVCG.2019.2934806	The density map is widely used for data sampling, time-varying detection, ensemble representation, etc. The visualization of dynamic evolution is a challenging task when exploring spatiotemporal data. Many approaches have been provided to explore the variation of data patterns over time, which commonly need multiple pa...	false	false	[ "Chen Chen", "Changbo Wang", "Xue Bai", "Peiying Zhang", "Chenhui Li" ]	[]	[]	[]
InfoVis	2,019	Illusion of Causality in Visualized Data	10.1109/TVCG.2019.2934399	Students who eat breakfast more frequently tend to have a higher grade point average. From this data, many people might confidently state that a before-school breakfast program would lead to higher grades. This is a reasoning error, because correlation does not necessarily indicate causation – X and Y can be correlated...	false	false	[ "Cindy Xiong", "Joel Shapiro", "Jessica Hullman", "Steven Franconeri" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00215v1", "icon": "paper" } ]
InfoVis	2,019	Improving the Robustness of Scagnostics	10.1109/TVCG.2019.2934796	In this paper, we examine the robustness of scagnostics through a series of theoretical and empirical studies. First, we investigate the sensitivity of scagnostics by employing perturbing operations on more than 60M synthetic and real-world scatterplots. We found that two scagnostic measures, Outlying and Clumpy, are o...	false	false	[ "Yunhai Wang", "Zeyu Wang 0005", "Tingting Liu", "Michael Correll", "Zhanglin Cheng", "Oliver Deussen", "Michael Sedlmair" ]	[]	[]	[]
InfoVis	2,019	Interactive Structure-aware Blending of Diverse Edge Bundling Visualizations	10.1109/TVCG.2019.2934805	Many edge bundling techniques (i.e., data simplification as a support for data visualization and decision making) exist but they are not directly applicable to any kind of dataset and their parameters are often too abstract and difficult to set up. As a result, this hinders the user ability to create efficient aggregat...	false	false	[ "Yunhai Wang", "Mingliang Xue", "Yanyan Wang", "Xinyuan Yan", "Baoquan Chen", "Chi-Wing Fu", "Christophe Hurter" ]	[]	[]	[]
InfoVis	2,019	Investigating Direct Manipulation of Graphical Encodings as a Method for User Interaction	10.1109/TVCG.2019.2934534	We investigate direct manipulation of graphical encodings as a method for interacting with visualizations. There is an increasing interest in developing visualization tools that enable users to perform operations by directly manipulating graphical encodings rather than external widgets such as checkboxes and sliders. D...	false	false	[ "Bahador Saket", "Samuel Huron", "Charles Perin", "Alex Endert" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00679v1", "icon": "paper" } ]
InfoVis	2,019	Measures of the Benefit of Direct Encoding of Data Deltas for Data Pair Relation Perception	10.1109/TVCG.2019.2934801	The power of data visualization is not to convey absolute values of individual data points, but to allow the exploration of relations (increases or decreases in a data value) among them. One approach to highlighting these relations is to explicitly encode the numeric differences (deltas) between data values. Because th...	false	false	[ "Christine Nothelfer", "Steven Franconeri" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/jup9a", "icon": "paper" } ]
InfoVis	2,019	OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies	10.1109/TVCG.2019.2934557	Ontologies are formal representations of concepts and complex relationships among them. They have been widely used to capture comprehensive domain knowledge in areas such as biology and medicine, where large and complex ontologies can contain hundreds of thousands of concepts. Especially due to the large size of ontolo...	false	false	[ "Ying Yang", "Michael Wybrow", "Yuan-Fang Li", "Tobias Czauderna", "Yongqun He" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.00688v2", "icon": "paper" } ]
InfoVis	2,019	P5: Portable Progressive Parallel Processing Pipelines for Interactive Data Analysis and Visualization	10.1109/TVCG.2019.2934537	We present P5, a web-based visualization toolkit that combines declarative visualization grammar and GPU computing for progressive data analysis and visualization. To interactively analyze and explore big data, progressive analytics and visualization methods have recently emerged. Progressive visualizations of incremen...	false	false	[ "Jianping Kelvin Li", "Kwan-Liu Ma" ]	[]	[]	[]
InfoVis	2,019	Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets	10.1109/TVCG.2019.2934555	We present Scalable Insets, a technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visualizations such as gigapixel images, matrices, or maps. Exploration of many but sparsely-distributed patterns in multiscale visualizations is challenging as visual representations cha...	false	false	[ "Fritz Lekschas", "Michael Behrisch 0001", "Benjamin Bach", "Peter Kerpedjiev", "Nils Gehlenborg", "Hanspeter Pfister" ]	[]	[]	[]
InfoVis	2,019	Persistent Homology Guided Force-Directed Graph Layouts	10.1109/TVCG.2019.2934802	Graphs are commonly used to encode relationships among entities, yet their abstractness makes them difficult to analyze. Node-link diagrams are popular for drawing graphs, and force-directed layouts provide a flexible method for node arrangements that use local relationships in an attempt to reveal the global shape of ...	false	false	[ "Ashley Suh", "Mustafa Hajij", "Bei Wang 0001", "Carlos Scheidegger", "Paul Rosen 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1712.05548v4", "icon": "paper" } ]
InfoVis	2,019	RSATree: Distribution-Aware Data Representation of Large-Scale Tabular Datasets for Flexible Visual Query	10.1109/TVCG.2019.2934800	Analysts commonly investigate the data distributions derived from statistical aggregations of data that are represented by charts, such as histograms and binned scatterplots, to visualize and analyze a large-scale dataset. Aggregate queries are implicitly executed through such a process. Datasets are constantly extreme...	false	false	[ "Honghui Mei", "Wei Chen 0001", "Yating Wei", "Yuanzhe Hu", "Shuyue Zhou", "Bingru Lin", "Ying Zhao 0001", "Jiazhi Xia" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.02005v2", "icon": "paper" } ]
InfoVis	2,019	Searching the Visual Style and Structure of D3 Visualizations	10.1109/TVCG.2019.2934431	We present a search engine for D3 visualizations that allows queries based on their visual style and underlying structure. To build the engine we crawl a collection of 7860 D3 visualizations from the Web and deconstruct each one to recover its data, its data-encoding marks and the encodings describing how the data is m...	false	false	[ "Enamul Hoque", "Maneesh Agrawala" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.11265v2", "icon": "paper" } ]
InfoVis	2,019	Separating the Wheat from the Chaff: Comparative Visual Cues for Transparent Diagnostics of Competing Models	10.1109/TVCG.2019.2934540	Experts in data and physical sciences have to regularly grapple with the problem of competing models. Be it analytical or physics-based models, a cross-cutting challenge for experts is to reliably diagnose which model outcomes appropriately predict or simulate real-world phenomena. Expert judgment involves reconciling ...	false	false	[ "Aritra Dasgupta", "Hong Wang", "Nancy O'Brien", "Susannah Burrows" ]	[]	[]	[]
InfoVis	2,019	ShapeWordle: Tailoring Wordles using Shape-aware Archimedean Spirals	10.1109/TVCG.2019.2934783	We present a new technique to enable the creation of shape-bounded Wordles, we call ShapeWordle, in which we fit words to form a given shape. To guide word placement within a shape, we extend the traditional Archimedean spirals to be shape-aware by formulating the spirals in a differential form using the distance field...	false	false	[ "Yunhai Wang", "Xiaowei Chu", "Kaiyi Zhang", "Chen Bao", "Xiaotong Li", "Jian Zhang 0070", "Chi-Wing Fu", "Christophe Hurter", "Bongshin Lee", "Oliver Deussen" ]	[]	[]	[]
InfoVis	2,019	SmartCube: An Adaptive Data Management Architecture for the Real-Time Visualization of Spatiotemporal Datasets	10.1109/TVCG.2019.2934434	Interactive visualization and exploration of large spatiotemporal data sets is difficult without carefully-designed data pre-processing and management tools. We propose a novel architecture for spatiotemporal data management. The architecture can dynamically update itself based on user queries. Datasets is stored in a ...	false	false	[ "Can Liu 0004", "Cong Wu 0004", "Hanning Shao", "Xiaoru Yuan" ]	[]	[]	[]
InfoVis	2,019	Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements	10.1109/TVCG.2019.2934785	Combining data content with visual embellishments, infographics can effectively deliver messages in an engaging and memorable manner. Various authoring tools have been proposed to facilitate the creation of infographics. However, creating a professional infographic with these authoring tools is still not an easy task, ...	false	false	[ "Weiwei Cui", "Xiaoyu Zhang", "Yun Wang 0012", "He Huang", "Bei Chen", "Lei Fang 0004", "Haidong Zhang", "Jian-Guang Lou", "Dongmei Zhang 0001" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.09091v1", "icon": "paper" } ]
InfoVis	2,019	The Impact of Immersion on Cluster Identification Tasks	10.1109/TVCG.2019.2934395	Recent developments in technology encourage the use of head-mounted displays (HMDs) as a medium to explore visualizations in virtual realities (VRs). VR environments (VREs) enable new, more immersive visualization design spaces compared to traditional computer screens. Previous studies in different domains, such as med...	false	false	[ "Matthias Kraus", "Niklas Weiler", "Daniela Oelke", "Johannes Kehrer", "Daniel A. Keim", "Johannes Fuchs 0001" ]	[]	[]	[]
InfoVis	2,019	The Perceptual Proxies of Visual Comparison	10.1109/TVCG.2019.2934786	Perceptual tasks in visualizations often involve comparisons. Of two sets of values depicted in two charts, which set had values that were the highest overall? Which had the widest range? Prior empirical work found that the performance on different visual comparison tasks (e.g., “biggest delta”, “biggest correlation”) ...	false	false	[ "Nicole Jardine", "Brian D. Ondov", "Niklas Elmqvist", "Steven Franconeri" ]	[ "HM" ]	[]	[]
InfoVis	2,019	The Role of Latency and Task Complexity in Predicting Visual Search Behavior	10.1109/TVCG.2019.2934556	Latency in a visualization system is widely believed to affect user behavior in measurable ways, such as requiring the user to wait for the visualization system to respond, leading to interruption of the analytic flow. While this effect is frequently observed and widely accepted, precisely how latency affects different...	false	false	[ "Leilani Battle", "R. Jordan Crouser", "Audace Nakeshimana", "Ananda Montoly", "Remco Chang", "Michael Stonebraker" ]	[]	[]	[]
InfoVis	2,019	There Is No Spoon: Evaluating Performance, Space Use, and Presence with Expert Domain Users in Immersive Analytics	10.1109/TVCG.2019.2934803	Immersive analytics turns the very space surrounding the user into a canvas for data analysis, supporting human cognitive abilities in myriad ways. We present the results of a design study, contextual inquiry, and longitudinal evaluation involving professional economists using a Virtual Reality (VR) system for multidim...	false	false	[ "Andrea Batch", "Andrew Cunningham", "Maxime Cordeil", "Niklas Elmqvist", "Tim Dwyer", "Bruce H. Thomas", "Kim Marriott" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/wzqbu", "icon": "paper" } ]
InfoVis	2,019	Toward Objective Evaluation of Working Memory in Visualizations: A Case Study Using Pupillometry and a Dual-Task Paradigm	10.1109/TVCG.2019.2934286	Cognitive science has established widely used and validated procedures for evaluating working memory in numerous applied domains, but surprisingly few studies have employed these methodologies to assess claims about the impacts of visualizations on working memory. The lack of information visualization research that use...	false	false	[ "Lace M. K. Padilla", "Spencer C. Castro", "P. Samuel Quinan", "Ian T. Ruginski", "Sarah H. Creem-Regehr" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/zj6tp", "icon": "paper" } ]
InfoVis	2,019	Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline	10.1109/TVCG.2019.2934810	Designers need to consider not only perceptual effectiveness but also visual styles when creating an infographic. This process can be difficult and time consuming for professional designers, not to mention non-expert users, leading to the demand for automated infographics design. As a first step, we focus on timeline i...	false	false	[ "Zhutian Chen", "Yun Wang 0012", "Qianwen Wang", "Yong Wang 0021", "Huamin Qu" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.13550v3", "icon": "paper" } ]
InfoVis	2,019	Uncertainty-Aware Principal Component Analysis	10.1109/TVCG.2019.2934812	We present a technique to perform dimensionality reduction on data that is subject to uncertainty. Our method is a generalization of traditional principal component analysis (PCA) to multivariate probability distributions. In comparison to non-linear methods, linear dimensionality reduction techniques have the advantag...	false	false	[ "Jochen Görtler", "Thilo Spinner", "Dirk Streeb", "Daniel Weiskopf", "Oliver Deussen" ]	[]	[]	[]
InfoVis	2,019	VisTA: Integrating Machine Intelligence with Visualization to Support the Investigation of Think-Aloud Sessions	10.1109/TVCG.2019.2934797	Think-aloud protocols are widely used by user experience (UX) practitioners in usability testing to uncover issues in user interface design. It is often arduous to analyze large amounts of recorded think-aloud sessions and few UX practitioners have an opportunity to get a second perspective during their analysis due to...	false	false	[ "Mingming Fan 0001", "Ke Wu", "Jian Zhao 0010", "Yue Li", "Winter Wei", "Khai N. Truong" ]	[]	[]	[]
InfoVis	2,019	Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns	10.1109/TVCG.2019.2934285	Common pitfalls in visualization projects include lack of data availability and the domain users' needs and focus changing too rapidly for the design process to complete. While it is often prudent to avoid such projects, we argue it can be beneficial to engage them in some cases as the visualization process can help re...	false	false	[ "Katy Williams", "Alex Bigelow", "Katherine E. Isaacs" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1905.13135v4", "icon": "paper" } ]
InfoVis	2,019	What is Interaction for Data Visualization?	10.1109/TVCG.2019.2934283	Interaction is fundamental to data visualization, but what “interaction” means in the context of visualization is ambiguous and confusing. We argue that this confusion is due to a lack of consensual definition. To tackle this problem, we start by synthesizing an inclusive view of interaction in the visualization commun...	false	false	[ "Evanthia Dimara", "Charles Perin" ]	[]	[]	[]
InfoVis	2,019	Why Authors Don't Visualize Uncertainty	10.1109/TVCG.2019.2934287	Clear presentation of uncertainty is an exception rather than rule in media articles, data-driven reports, and consumer applications, despite proposed techniques for communicating sources of uncertainty in data. This work considers, Why do so many visualization authors choose not to visualize uncertainty? I contribute ...	false	false	[ "Jessica Hullman" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.01697v1", "icon": "paper" } ]
InfoVis	2,019	Winglets: Visualizing Association with Uncertainty in Multi-class Scatterplots	10.1109/TVCG.2019.2934811	This work proposes Winglets, an enhancement to the classic scatterplot to better perceptually pronounce multiple classes by improving the perception of association and uncertainty of points to their related cluster. Designed as a pair of dual-sided strokes belonging to a data point, Winglets leverage the Gestalt princi...	false	false	[ "Min Lu 0002", "Shuaiqi Wang", "Joel Lanir", "Noa Fish", "Yang Yue", "Daniel Cohen-Or", "Hui Huang 0004" ]	[]	[]	[]
EuroVis	2,019	A framework for GPU-accelerated exploration of massive time-varying rectilinear scalar volumes	10.1111/cgf.13671	We introduce a novel flexible approach to spatiotemporal exploration of rectilinear scalar volumes. Our out‐of‐core representation, based on per‐frame levels of hierarchically tiled non‐redundant 3D grids, efficiently supports spatiotemporal random access and streaming to the GPU in compressed formats. A novel low‐bitr...	false	false	[ "Fabio Marton", "Marco Agus", "Enrico Gobbetti" ]	[ "HM" ]	[]	[]
EuroVis	2,019	A Geometric Optimization Approach for the Detection and Segmentation of Multiple Aneurysms	10.1111/cgf.13699	We present a method for detecting and segmenting aneurysms in blood vessels that facilitates the assessment of risks associated with the aneurysms. The detection and analysis of aneurysms is important for medical diagnosis as aneurysms bear the risk of rupture with fatal consequences for the patient. For risk assessmen...	false	false	[ "Kai Lawonn", "Monique Meuschke", "Ralph Wickenhöfer", "Bernhard Preim", "Klaus Hildebrandt" ]	[]	[]	[]
EuroVis	2,019	A Random Sampling O(n) Force-calculation Algorithm for Graph Layouts	10.1111/cgf.13724	This paper proposes a linear‐time repulsive‐force‐calculation algorithm with sub‐linear auxiliary space requirements, achieving an asymptotic improvement over the Barnes‐Hut and Fast Multipole Method force‐calculation algorithms. The algorithm, named random vertex sampling (RVS), achieves its speed by updating a random...	false	false	[ "Robert Gove" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "https://osf.io/2vpe4", "icon": "paper" } ]
EuroVis	2,019	A Review of Guidance Approaches in Visual Data Analysis: A Multifocal Perspective	10.1111/cgf.13730	Visual data analysis can be envisioned as a collaboration of the user and the computational system with the aim of completing a given task. Pursuing an effective system‐user integration, in which the system actively helps the user to reach his/her analysis goal has been focus of visualization research for quite some ti...	false	false	[ "Davide Ceneda", "Theresia Gschwandtner", "Silvia Miksch" ]	[]	[]	[]
EuroVis	2,019	A stable graph layout algorithm for processes	10.1111/cgf.13723	Process mining enables organizations to analyze data about their (business) processes. Visualization is key to gaining insight into these processes and the associated data. Process visualization requires a high‐quality graph layout that intuitively represents the semantics of the process. Process analysis additionally ...	false	false	[ "Robin J. P. Mennens", "Roeland Scheepens", "Michel A. Westenberg" ]	[]	[]	[]
EuroVis	2,019	A User-based Visual Analytics Workflow for Exploratory Model Analysis	10.1111/cgf.13681	Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an accurate predictive model for future use. In that case, users are more...	false	false	[ "Dylan Cashman", "Shah Rukh Humayoun", "Florian Heimerl", "Kendall Park", "Subhajit Das 0002", "John Thompson 0002", "Bahador Saket", "Abigail Mosca", "John T. Stasko", "Alex Endert", "Michael Gleicher", "Remco Chang" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1809.10782v3", "icon": "paper" } ]
EuroVis	2,019	A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science	10.1111/cgf.13688	We present visual analysis methods for the evaluation of tomographic fiber reconstruction algorithms by means of analysis, visual debugging and comparison of reconstructed fibers in materials science. The methods are integrated in a tool (FIAKER) that supports the entire workflow. It enables the analysis of various fib...	false	false	[ "Bernhard Fröhler", "Tim Elberfeld", "Torsten Möller", "Hans-Christian Hege", "Johannes Weissenböck", "Jan De Beenhouwer", "Jan Sijbers", "Johann Kastner", "Christoph Heinzl" ]	[]	[]	[]
EuroVis	2,019	An Exploratory User Study of Visual Causality Analysis	10.1111/cgf.13680	Interactive visualization tools are being used by an increasing number of members of the general public; however, little is known about how, and how well, people use visualizations to infer causality. Adapted from the mediation causal model, we designed an analytic framework to systematically evaluate human performance...	false	false	[ "Chi-Hsien (Eric) Yen", "Aditya G. Parameswaran", "Wai-Tat Fu" ]	[]	[]	[]
EuroVis	2,019	An Interactive Visualization System for Large Sets of Phase Space Trajectories	10.1111/cgf.13690	We introduce a visual analysis system with GPU acceleration techniques for large sets of trajectories from complex dynamical systems. The approach is based on an interactive Boolean combination of subsets into a Focus+Context phase‐space visualization. We achieve high performance through efficient bitwise algorithms ut...	false	false	[ "Tyson Neuroth", "Franz Sauer", "Kwan-Liu Ma" ]	[]	[]	[]
EuroVis	2,019	An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics Systems	10.1111/cgf.13677	Designing, evaluating, and improving visual analytics (VA) systems is a primary area of activities in our discipline. In this paper, we present an ontological framework for recording and categorizing technical shortcomings to be addressed in a VA workflow, reasoning about the causes of such problems, identifying techni...	false	false	[ "Min Chen 0001", "David S. Ebert" ]	[]	[]	[]
EuroVis	2,019	Analysis of Decadal Climate Predictions with User-guided Hierarchical Ensemble Clustering	10.1111/cgf.13706	In order to gain probabilistic results, ensemble simulation techniques are increasingly applied in the weather and climate sciences (as well as in various other scientific disciplines). In many cases, however, only mean results or other abstracted quantities such as percentiles are used for further analyses and dissemi...	false	false	[ "Christopher P. Kappe", "Michael Böttinger", "Heike Leitte" ]	[]	[]	[]
EuroVis	2,019	Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization	10.1111/cgf.13701	Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein dynamics and function. With increasing computational power, it is now possible to generate very long and complex simulations, which are cumbersome to explore using traditional 3D animations of protein movements. Guided by requirements d...	false	false	[ "Jan Byska", "Thomas Trautner", "Sérgio M. Marques", "Jirí Damborský", "Barbora Kozlíková", "Manuela Waldner" ]	[]	[]	[]
EuroVis	2,019	Augmenting Tactile 3D Data Navigation With Pressure Sensing	10.1111/cgf.13716	We present a pressure‐augmented tactile 3D data navigation technique, specifically designed for small devices, motivated by the need to support the interactive visualization beyond traditional workstations. While touch input has been studied extensively on large screens, current techniques do not scale to small and por...	false	false	[ "Xiyao Wang", "Lonni Besançon", "Mehdi Ammi", "Tobias Isenberg 0001" ]	[]	[]	[]
EuroVis	2,019	Bird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data	10.1111/cgf.13713	The analysis of behavioral city dynamics, such as temporal patterns of visited places and citizens' mobility routines, is an essential task for urban and transportation planning. Social media applications such as Foursquare and Twitter provide access to large‐scale and up‐to‐date dynamic movement data that not only hel...	false	false	[ "Robert Krüger", "Qi Han 0006", "Nikolay Ivanov", "Sanae Mahtal", "Dennis Thom", "Hanspeter Pfister", "Thomas Ertl" ]	[]	[]	[]
EuroVis	2,019	Bridging the Data Analysis Communication Gap Utilizing a Three-Component Summarized Line Graph	10.1111/cgf.13696	Communication‐minded visualizations are designed to provide their audience—managers, decision‐makers, and the public—with new knowledge. Authoring such visualizations effectively is challenging because the audience often lacks the expertise, context, and time that professional analysts have at their disposal to explore...	false	false	[ "Calvin Yau", "Morteza Karimzadeh", "Chittayong Surakitbanharn", "Niklas Elmqvist", "David S. Ebert" ]	[]	[]	[]
EuroVis	2,019	Capture & Analysis of Active Reading Behaviors for Interactive Articles on the Web	10.1111/cgf.13720	Journalists, educators, and technical writers are increasingly publishing interactive content on the web. However, popular analytics tools provide only coarse information about how readers interact with individual pages, and laboratory studies often fail to capture the variability of a real‐world audience. We contribut...	false	false	[ "Matthew Conlen", "Alex Kale", "Jeffrey Heer" ]	[]	[]	[]
EuroVis	2,019	Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau	10.1111/cgf.13678	Supporting exploratory visual analysis (EVA) is a central goal of visualization research, and yet our understanding of the process is arguably vague and piecemeal. We contribute a consistent definition of EVA through review of the relevant literature, and an empirical evaluation of existing assumptions regarding how an...	false	false	[ "Leilani Battle", "Jeffrey Heer" ]	[]	[]	[]
EuroVis	2,019	ChronoCorrelator: Enriching Events with Time Series	10.1111/cgf.13697	Event sequences and time series are widely recorded in many application domains; examples are stock market prices, electronic health records, server operation and performance logs. Common goals for recording are monitoring, root cause analysis and predictive analytics. Current analysis methods generally focus on the ex...	false	false	[ "M. A. M. M. van Dortmont", "Stef van den Elzen", "Jarke J. van Wijk" ]	[]	[]	[]
EuroVis	2,019	ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns	10.1111/cgf.13684	We propose ClustMe, a new visual quality measure to rank monochrome scatterplots based on cluster patterns. ClustMe is based on data collected from a human‐subjects study, in which 34 participants judged synthetically generated cluster patterns in 1000 scatterplots. We generated these patterns by carefully varying the ...	false	false	[ "Mostafa M. Abbas", "Michaël Aupetit 0001", "Michael Sedlmair", "Halima Bensmail" ]	[]	[]	[]
EuroVis	2,019	CV3: Visual Exploration, Assessment, and Comparison of CVs	10.1111/cgf.13675	The Curriculum Vitae (CV, also referred to as “résumé”) is an established representation of a person's academic and professional history. A typical CV is comprised of multiple sections associated with spatio‐temporal, nominal, hierarchical, and ordinal data. The main task of a recruiter is, given a job application with...	false	false	[ "Velitchko Andreev Filipov", "Alessio Arleo", "Paolo Federico 0001", "Silvia Miksch" ]	[]	[]	[]
EuroVis	2,019	Designing Animated Transitions to Convey Aggregate Operations	10.1111/cgf.13709	Data can be aggregated in many ways before being visualized in charts, profoundly affecting what a chart conveys. Despite this importance, the type of aggregation is often communicated only via axis titles. In this paper, we investigate the use of animation to disambiguate different types of aggregation and communicate...	false	false	[ "Younghoon Kim", "Michael Correll", "Jeffrey Heer" ]	[]	[]	[]
EuroVis	2,019	DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions	10.1111/cgf.13674	Adverse reactions caused by drug‐drug interactions are a major public health concern. Currently, adverse reaction signals are detected through a tedious manual process in which drug safety analysts review a large number of reports collected through post‐marketing drug surveillance. While computational techniques in sup...	false	false	[ "Tabassum Kakar", "Xiao Qin 0003", "Elke A. Rundensteiner", "Lane Harrison", "Sanjay K. Sahoo", "Suranjan De" ]	[]	[]	[]
EuroVis	2,019	Efficient Optimal Overlap Removal: Algorithms and Experiments	10.1111/cgf.13722	Motivated by visualizing spatial data using proportional symbols, we study the following problem: given a set of overlapping squares of varying sizes, minimally displace the squares as to remove the overlap while maintaining the orthogonal order on their centers. Though this problem is NP‐hard, we show that rotating th...	false	false	[ "Wouter Meulemans" ]	[]	[]	[]
EuroVis	2,019	Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data	10.1111/cgf.13707	Applying lossy data compression to climate model output is an attractive means of reducing the enormous volumes of data generated by climate models. However, because lossy data compression does not exactly preserve the original data, its application to scientific data must be done judiciously. To this end, a collection...	false	false	[ "Allison H. Baker", "Dorit Hammerling", "Terece L. Turton" ]	[]	[]	[]
EuroVis	2,019	Examining Implicit Discretization in Spectral Schemes	10.1111/cgf.13695	Two of the primary reasons rainbow color maps are considered ineffective trace back to the idea that they implicitly discretize encoded data into hue‐based bands, yet no research addresses what this discretization looks like or how consistent it is across individuals. This paper presents an exploratory study designed t...	false	false	[ "P. Samuel Quinan", "Lace M. K. Padilla", "Sarah H. Creem-Regehr", "Miriah D. Meyer" ]	[]	[]	[]
EuroVis	2,019	External Labeling Techniques: A Taxonomy and Survey	10.1111/cgf.13729	External labeling is frequently used for annotating features in graphical displays and visualizations, such as technical illustrations, anatomical drawings, or maps, with textual information. Such a labeling connects features within an illustration by thin leader lines with their labels, which are placed in the empty s...	false	false	[ "Michael A. Bekos", "Benjamin Niedermann", "Martin Nöllenburg" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1902.01454v2", "icon": "paper" } ]
EuroVis	2,019	Focus+Context Exploration of Hierarchical Embeddings	10.1111/cgf.13711	Hierarchical embeddings, such as HSNE, address critical visual and computational scalability issues of traditional techniques for dimensionality reduction. The improved scalability comes at the cost of the need for increased user interaction for exploration. In this paper, we provide a solution for the interactive visu...	false	false	[ "Thomas Höllt", "Anna Vilanova", "Nicola Pezzotti", "Boudewijn P. F. Lelieveldt", "Helwig Hauser" ]	[]	[]	[]
EuroVis	2,019	Follow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysis	10.1111/cgf.13670	The goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet to realize the full potential of such a human‐computer partnership. In a perfect collaborative mixed‐initiative system, the computer must p...	false	false	[ "Alvitta Ottley", "Roman Garnett", "Ran Wan" ]	[ "HM" ]	[]	[]
EuroVis	2,019	Hybrid Touch/Tangible Spatial 3D Data Selection	10.1111/cgf.13710	We discuss spatial selection techniques for three‐dimensional datasets. Such 3D spatial selection is fundamental to exploratory data analysis. While 2D selection is efficient for datasets with explicit shapes and structures, it is less efficient for data without such properties. We first propose a new taxonomy of 3D se...	false	false	[ "Lonni Besançon", "Mickaël Sereno", "Lingyun Yu 0001", "Mehdi Ammi", "Tobias Isenberg 0001" ]	[]	[]	[]
EuroVis	2,019	IGM-Vis: Analyzing Intergalactic and Circumgalactic Medium Absorption Using Quasar Sightlines in a Cosmic Web Context	10.1111/cgf.13705	We introduce IGM‐Vis, a novel astrophysics visualization and data analysis application for investigating galaxies and the gas that surrounds them in context with their larger scale environment, the Cosmic Web. Environment is an important factor in the evolution of galaxies from actively forming stars to quiescent state...	false	false	[ "Joseph N. Burchett", "David Abramov", "Jasmine Otto", "Cassia Artanegara", "J. Xavier Prochaska", "Angus G. Forbes" ]	[]	[ "P" ]	[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1812.07092v2", "icon": "paper" } ]
EuroVis	2,019	InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics	10.1111/cgf.13717	Analyzing complex data is a non‐linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders....	false	false	[ "Andreas Mathisen", "Tom Horak", "Clemens Nylandsted Klokmose", "Kaj Grønbæk", "Niklas Elmqvist" ]	[]	[]	[]
EuroVis	2,019	Interactive Visualization of Flood and Heavy Rain Simulations	10.1111/cgf.13669	In this paper, we present a real‐time technique to visualize large‐scale adaptive height fields with C ‐continuous surface reconstruction. Grid‐based shallow water simulation is an indispensable tool for interactive flood management applications. Height fields defined on adaptive grids are often the only viable option ...	false	false	[ "Daniel Cornel", "Andreas Buttinger-Kreuzhuber", "Artem Konev", "Zsolt Horváth", "Michael Wimmer 0001", "R. Heidrich", "Jürgen Waser" ]	[ "HM" ]	[]	[]
EuroVis	2,019	Interactive Volumetric Visual Analysis of Glycogen-derived Energy Absorption in Nanometric Brain Structures	10.1111/cgf.13700	Digital acquisition and processing techniques are changing the way neuroscience investigation is carried out. Emerging applications range from statistical analysis on image stacks to complex connectomics visual analysis tools targeted to develop and test hypotheses of brain development and activity. In this work, we fo...	false	false	[ "Marco Agus", "Corrado Calì", "Ali K. Al-Awami", "Enrico Gobbetti", "Pierre J. Magistretti", "Markus Hadwiger" ]	[]	[]	[]
EuroVis	2,019	Investigating Effects of Visual Anchors on Decision-Making about Misinformation	10.1111/cgf.13679	Cognitive biases are systematic errors in judgment due to an over‐reliance on rule‐of‐thumb heuristics. Recent research suggests that cognitive biases, like numerical anchoring, transfers to visual analytics in the form of visual anchoring. However, it is unclear how visualization users can be visually anchored and how...	false	false	[ "Ryan Wesslen", "Sashank Santhanam", "Alireza Karduni", "Isaac Cho", "Samira Shaikh", "Wenwen Dou" ]	[]	[]	[]
EuroVis	2,019	Investigating the Manual View Specification and Visualization by Demonstration Paradigms for Visualization Construction	10.1111/cgf.13718	Interactivity plays an important role in data visualization. Therefore, understanding how people create visualizations given different interaction paradigms provides empirical evidence to inform interaction design. We present a two‐phase study comparing people's visualization construction processes using two visualizat...	false	false	[ "Bahador Saket", "Alex Endert" ]	[]	[]	[]
EuroVis	2,019	Kyrix: Interactive Pan/Zoom Visualizations at Scale	10.1111/cgf.13708	Pan and zoom are basic yet powerful interaction techniques for exploring large datasets. However, existing zoomable UI toolkits such as Pad++ and ZVTM do not provide the backend database support and data‐driven primitives that are necessary for creating large‐scale visualizations. This limitation in existing general‐pu...	false	false	[ "Wenbo Tao", "Xiaoyu Liu", "Yedi Wang", "Leilani Battle", "Çagatay Demiralp", "Remco Chang", "Michael Stonebraker" ]	[]	[]	[]
EuroVis	2,019	Latent Space Cartography: Visual Analysis of Vector Space Embeddings	10.1111/cgf.13672	Latent spaces—reduced‐dimensionality vector space embeddings of data, fit via machine learning—have been shown to capture interesting semantic properties and support data analysis and synthesis within a domain. Interpretation of latent spaces is challenging because prior knowledge, sometimes subtle and implicit, is ess...	false	false	[ "Yang Liu 0136", "Eunice Jun", "Qisheng Li", "Jeffrey Heer" ]	[]	[]	[]
EuroVis	2,019	Linking and Layout: Exploring the Integration of Text and Visualization in Storytelling	10.1111/cgf.13719	Modern web technologies are enabling authors to create various forms of text visualization integration for storytelling. This integration may shape the stories' flow and thereby affect the reading experience. In this paper, we seek to understand two text visualization integration forms: (i) different text and visualiza...	false	false	[ "Qiyu Zhi", "Alvitta Ottley", "Ronald A. Metoyer" ]	[]	[]	[]
EuroVis	2,019	Multiple Views: different meanings and collocated words	10.1111/cgf.13673	We report on an in‐depth corpus linguistic study on ‘multiple views’ terminology and word collocation. We take a broad interpretation of these terms, and explore the meaning and diversity of their use in visualisation literature. First we explore senses of the term ‘multiple views’ (e.g., ‘multiple views’ can mean juxt...	false	false	[ "Jonathan C. Roberts", "Hayder Al-Maneea", "Peter W. S. Butcher", "Robert Lew", "Geraint Rees 0002", "Nirwan Sharma", "Ana Frankenberg-Garcia" ]	[]	[]	[]
EuroVis	2,019	netflower: Dynamic Network Visualization for Data Journalists	10.1111/cgf.13721	Journalists need visual interfaces that cater to the exploratory nature of their investigative activities. In this paper, we report on a four‐year design study with data journalists. The main result is netflower, a visual exploration tool that supports journalists in investigating quantitative flows in dynamic network ...	false	false	[ "Christina Stoiber", "Alexander Rind", "Florian Grassinger", "Robert Gutounig", "Eva Goldgruber", "Michael Sedlmair", "Stefan Emrich", "Wolfgang Aigner" ]	[]	[ "PW", "P", "C" ]	[ { "name": "Paper Preprint", "url": "https://phaidra.fhstp.ac.at/o:4838", "icon": "paper" }, { "name": "Project Website with Demo", "url": "https://netflower.fhstp.ac.at/", "icon": "project_website" }, { "name": "GitHub", "url": "https://github.com/VALIDproject/netflower", ...
EuroVis	2,019	Optimizing Stepwise Animation in Dynamic Set Diagrams	10.1111/cgf.13668	A set diagram represents the membership relation among data elements. It is often visualized as secondary information on top of primary information, such as the spatial positions of elements on maps and charts. Visualizing the temporal evolution of such set diagrams as well as their primary features is quite important;...	false	false	[ "Kazuyo Mizuno", "Hsiang-Yun Wu", "Shigeo Takahashi", "Takeo Igarashi" ]	[ "HM" ]	[]	[]
EuroVis	2,019	Oui! Outlier Interpretation on Multi-dimensional Data via Visual Analytics	10.1111/cgf.13683	Outliers, the data instances that do not conform with normal patterns in a dataset, are widely studied in various domains, such as cybersecurity, social analysis, and public health. By detecting and analyzing outliers, users can either gain insights into abnormal patterns or purge the data of errors. However, different...	false	false	[ "Xun Zhao", "Weiwei Cui", "Yanhong Wu", "Haidong Zhang", "Huamin Qu", "Dongmei Zhang 0001" ]	[]	[]	[]
EuroVis	2,019	Ray Tracing Generalized Tube Primitives: Method and Applications	10.1111/cgf.13703	We present a general high‐performance technique for ray tracing generalized tube primitives. Our technique efficiently supports tube primitives with fixed and varying radii, general acyclic graph structures with bifurcations, and correct transparency with interior surface removal. Such tube primitives are widely used i...	false	false	[ "Mengjiao Han", "Ingo Wald", "Will Usher 0001", "Qi Wu 0015", "Feng Wang 0013", "Valerio Pascucci", "Charles D. Hansen", "Christopher R. Johnson 0001" ]	[]	[]	[]

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