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InfoVis
2,020
Chemicals in the Creek: designing a situated data physicalization of open government data with the community
10.1109/TVCG.2020.3030472
Over the last decade growing amounts of government data have been made available in an attempt to increase transparency and civic participation, but it is unclear if this data serves non-expert communities due to gaps in access and the technical knowledge needed to interpret this “open” data. We conducted a two-year de...
false
false
[ "Laura J. Perovich", "Sara Ann Wylie", "Roseann Bongiovanni" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.06155v1", "icon": "paper" } ]
InfoVis
2,020
Communicative Visualizations as a Learning Problem
10.1109/TVCG.2020.3030375
Significant research has provided robust task and evaluation languages for the analysis of exploratory visualizations. Unfortunately, these taxonomies fail when applied to communicative visualizations. Instead, designers often resort to evaluating communicative visualizations from the cognitive efficiency perspective: ...
false
false
[ "Eytan Adar", "Elsie Lee-Robbins" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.07095v1", "icon": "paper" } ]
InfoVis
2,020
Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions
10.1109/TVCG.2020.3030419
We present a systematic review on three comparative layouts-juxtaposition, superposition, and explicit-encoding-which are information visualization (InfoVis) layouts designed to support comparison tasks. For the last decade, these layouts have served as fundamental idioms in designing many visualization systems. Howeve...
false
false
[ "Sehi L'Yi", "Jaemin Jo", "Jinwook Seo" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.00192v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/nFY0g_pqGUg", "icon": "video" } ]
InfoVis
2,020
Composition and Configuration Patterns in Multiple-View Visualizations
10.1109/TVCG.2020.3030338
Multiple-view visualization (MV) is a layout design technique often employed to help users see a large number of data attributes and values in a single cohesive representation. Because of its generalizability, the MV design has been widely adopted by the visualization community to help users examine and interact with l...
false
false
[ "Xi Chen", "Wei Zeng 0004", "Yanna Lin", "Hayder Al-Maneea", "Jonathan Roberts 0002", "Remco Chang" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2007.15407v2", "icon": "paper" } ]
InfoVis
2,020
Context-aware Sampling of Large Networks via Graph Representation Learning
10.1109/TVCG.2020.3030440
Numerous sampling strategies have been proposed to simplify large-scale networks for highly readable visualizations. It is of great challenge to preserve contextual structures formed by nodes and edges with tight relationships in a sampled graph, because they are easily overlooked during the process of sampling due to ...
false
false
[ "Zhiguang Zhou", "Chen Shi", "Xilong Shen", "Lihong Cai", "Haoxuan Wang", "Yuhua Liu", "Ying Zhao 0001", "Wei Chen 0001" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/ZvQ5-LcZV7w", "icon": "video" } ]
InfoVis
2,020
Data Comics for Reporting Controlled User Studies in Human-Computer Interaction
10.1109/TVCG.2020.3030433
Inspired by data comics, this paper introduces a novel format for reporting controlled studies in the domain of human-computer interaction (HCI). While many studies in HCI follow similar steps in explaining hypotheses, laying out a study design, and reporting results, many of these decisions are buried in blocks of den...
false
false
[ "Zezhong Wang 0001", "Jacob Ritchie", "Jingtao Zhou", "Fanny Chevalier", "Benjamin Bach" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/unmyj", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/rscjCYCdEzk", "icon": "video" } ]
InfoVis
2,020
Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality
10.1109/TVCG.2020.3030435
A fundamental part of data visualization is transforming data to map abstract information onto visual attributes. While this abstraction is a powerful basis for data visualization, the connection between the representation and the original underlying data (i.e., what the quantities and measurements actually correspond ...
false
false
[ "Benjamin Lee", "Dave Brown", "Bongshin Lee", "Christophe Hurter", "Steven Mark Drucker", "Tim Dwyer" ]
[ "HM" ]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.00059v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/C3q5XhdanXk", "icon": "video" } ]
InfoVis
2,020
Designing Narrative-Focused Role-Playing Games for Visualization Literacy in Young Children
10.1109/TVCG.2020.3030464
Building on game design and education research, this paper introduces narrative-focused role-playing games as a way to promote visualization literacy in young children. Visualization literacy skills are vital in understanding the world around us and constructing meaningful visualizations, yet, how to better develop the...
false
false
[ "Elaine Huynh", "Angela Nyhout", "Patricia Ganea", "Fanny Chevalier" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.13749v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/VWl3KkLSmuQ", "icon": "video" } ]
InfoVis
2,020
DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction
10.1109/TVCG.2020.3030447
Efficient layout of large-scale graphs remains a challenging problem: the force-directed and dimensionality reduction-based methods suffer from high overhead for graph distance and gradient computation. In this paper, we present a new graph layout algorithm, called DRGraph, that enhances the nonlinear dimensionality re...
false
false
[ "Min-Feng Zhu", "Wei Chen 0001", "Yuanzhe Hu", "Yuxuan Hou", "Liangjun Liu", "Kaiyuan Zhang 0002" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.07799v1", "icon": "paper" } ]
InfoVis
2,020
Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots?
10.1109/TVCG.2020.3030427
Abstract data has no natural scale and so interactive data visualizations must provide techniques to allow the user to choose their viewpoint and scale. Such techniques are well established in desktop visualization tools. The two most common techniques are zoom+pan and overview+detail. However, how best to enable the a...
false
false
[ "Yalong Yang 0001", "Maxime Cordeil", "Johanna Beyer", "Tim Dwyer", "Kim Marriott", "Hanspeter Pfister" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.09941v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/LnC0YWbz7SI", "icon": "video" } ]
InfoVis
2,020
Exemplar-based Layout Fine-tuning for Node-link Diagrams
10.1109/TVCG.2020.3030393
We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of a group of substructures in batching mode. The key idea is to transfer user modifications on a local substructure to other substructures in the entire graph that are topologically similar to ...
false
false
[ "Jiacheng Pan", "Wei Chen 0001", "Xiaodong Zhao", "Shuyue Zhou", "Wei Zeng 0004", "Min-Feng Zhu", "Jian Chen 0006", "Siwei Fu", "Yingcai Wu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/FdYxjdApGAM", "icon": "video" } ]
InfoVis
2,020
Gemini: A Grammar and Recommender System for Animated Transitions in Statistical Graphics
10.1109/TVCG.2020.3030360
Animated transitions help viewers follow changes between related visualizations. Specifying effective animations demands significant effort: authors must select the elements and properties to animate, provide transition parameters, and coordinate the timing of stages. To facilitate this process, we present Gemini, a de...
false
false
[ "Younghoon Kim", "Jeffrey Heer" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.01429v1", "icon": "paper" } ]
InfoVis
2,020
Guidelines For Pursuing and Revealing Data Abstractions
10.1109/TVCG.2020.3030355
Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about how people describe their data, either directly or indirectly. We refer to the latter as latent data abstractions. We cond...
false
false
[ "Alex Bigelow", "Katy Williams", "Katherine E. Isaacs" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2005.04058v2", "icon": "paper" } ]
InfoVis
2,020
Humane Visual AI: Telling the Stories Behind a Medical Condition
10.1109/TVCG.2020.3030391
A biological understanding is key for managing medical conditions, yet psychological and social aspects matter too. The main problem is that these two aspects are hard to quantify and inherently difficult to communicate. To quantify psychological aspects, this work mined around half a million Reddit posts in the sub-co...
false
false
[ "Wonyoung So", "Edyta Paulina Bogucka", "Sanja Scepanovic", "Sagar Joglekar 0001", "Ke Zhou 0003", "Daniele Quercia" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2010.06296v1", "icon": "paper" } ]
InfoVis
2,020
Implicit Multidimensional Projection of Local Subspaces
10.1109/TVCG.2020.3030368
We propose a visualization method to understand the effect of multidimensional projection on local subspaces, using implicit function differentiation. Here, we understand the local subspace as the multidimensional local neighborhood of data points. Existing methods focus on the projection of multidimensional data point...
false
false
[ "Rongzheng Bian", "Yumeng Xue", "Liang Zhou 0001", "Jian Zhang 0070", "Baoquan Chen", "Daniel Weiskopf", "Yunhai Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.03259v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/QZsMyOMHJmY", "icon": "video" } ]
InfoVis
2,020
Insights From Experiments With Rigor in an EvoBio Design Study
10.1109/TVCG.2020.3030405
Design study is an established approach of conducting problem-driven visualization research. The academic visualization community has produced a large body of work for reporting on design studies, informed by a handful of theoretical frameworks, and applied to a broad range of application areas. The result is an abunda...
false
false
[ "Jennifer Rogers", "Austin H. Patton", "Luke Harmon", "Alexander Lex", "Miriah D. Meyer" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.11564v1", "icon": "paper" } ]
InfoVis
2,020
Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research
10.1109/TVCG.2020.3030426
Information visualization (infovis) is a powerful tool for exploring rich datasets. Within humanistic research, rich qualitative data and domain culture make traditional infovis approaches appear reductive and disconnected, leading to low adoption. In this paper, we use a multi-step approach to scrutinize the relations...
false
false
[ "Houda Lamqaddam", "Andrew Vande Moere", "Vero Vanden Abeele", "Koenraad Brosens", "Katrien Verbert" ]
[]
[]
[]
InfoVis
2,020
Investigating Visual Analysis of Differentially Private Data
10.1109/TVCG.2020.3030369
Differential Privacy is an emerging privacy model with increasing popularity in many domains. It functions by adding carefully calibrated noise to data that blurs information about individuals while preserving overall statistics about the population. Theoretically, it is possible to produce robust privacy-preserving vi...
false
false
[ "Dan Zhang", "Ali Sarvghad", "Gerome Miklau" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/bI2dRiKFxck", "icon": "video" } ]
InfoVis
2,020
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data
10.1109/TVCG.2020.3030372
Static scatterplots often suffer from the overdraw problem on big datasets where object overlap causes undesirable visual clutter. The use of zooming in scatterplots can help alleviate this problem. With multiple zoom levels, more screen real estate is available, allowing objects to be placed in a less crowded way. We ...
false
false
[ "Wenbo Tao", "Xinli Hou", "Adam Sah", "Leilani Battle", "Remco Chang", "Michael Stonebraker" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2007.15904v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/LF6MYsdWn9c", "icon": "video" } ]
InfoVis
2,020
Lyra 2: Designing Interactive Visualizations by Demonstration
10.1109/TVCG.2020.3030367
Recent graphical interfaces offer direct manipulation mechanisms for authoring visualizations, but are largely restricted to static output. To author interactive visualizations, users must instead turn to textual specification, but such approaches impose a higher technical burden. To bridge this gap, we introduce Lyra ...
false
false
[ "Jonathan Zong", "Dhiraj Barnwal", "Rupayan Neogy", "Arvind Satyanarayan" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.09576v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/S7IAGCM33Fw", "icon": "video" } ]
InfoVis
2,020
MetroSets: Visualizing Sets as Metro Maps
10.1109/TVCG.2020.3030475
We propose MetroSets, a new, flexible online tool for visualizing set systems using the metro map metaphor. We model a given set system as a hypergraph $\mathcal{H}=(V,\ \mathcal{S})$, consisting of a set $V$ of vertices and a set $\mathcal{S}$, which contains subsets of $V$ called hyperedges. Our system then computes ...
false
false
[ "Ben Jacobsen", "Markus Wallinger", "Stephen G. Kobourov", "Martin Nöllenburg" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.09367v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/FN-xYlByE64", "icon": "video" } ]
InfoVis
2,020
MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework
10.1109/TVCG.2020.3030423
We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly. Although mobile devices have become the primary means of accessing information on the web, many existing visualizations are not optimized for small screens and can lead to a frustrating user experience. Currently, practitioners and ...
false
false
[ "Aoyu Wu", "Wai Tong", "Tim Dwyer", "Bongshin Lee", "Petra Isenberg", "Huamin Qu" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.06678v1", "icon": "paper" } ]
InfoVis
2,020
Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology
10.1109/TVCG.2020.3030365
Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of visual separation of clusters. For visualization designers, optimizing the visual encodings is crucial to maximizing the clarity of data. T...
false
false
[ "Ghulam Jilani Quadri", "Paul Rosen 0001" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2007.13872v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/hJ1P6fbtwsU", "icon": "video" } ]
InfoVis
2,020
Multi-Perspective, Simultaneous Embedding
10.1109/TVCG.2020.3030373
We describe MPSE: a Multi-Perspective Simultaneous Embedding method for visualizing high-dimensional data, based on multiple pairwise distances between the data points. Specifically, MPSE computes positions for the points in 3D and provides different views into the data by means of 2D projections (planes) that preserve...
false
false
[ "Md. Iqbal Hossain", "Vahan Huroyan", "Stephen G. Kobourov", "Raymundo Navarrete" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/a6JWYd2rXwI", "icon": "video" } ]
InfoVis
2,020
NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries
10.1109/TVCG.2020.3030378
Natural language interfaces (NLls) have shown great promise for visual data analysis, allowing people to flexibly specify and interact with visualizations. However, developing visualization NLIs remains a challenging task, requiring low-level implementation of natural language processing (NLP) techniques as well as kno...
false
false
[ "Arpit Narechania", "Arjun Srinivasan", "John T. Stasko" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.10723v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/mHsvQLw7xpQ", "icon": "video" } ]
InfoVis
2,020
No mark is an island: Precision and category repulsion biases in data reproductions
10.1109/TVCG.2020.3030345
Data visualization is powerful in large part because it facilitates visual extraction of values. Yet, existing measures of perceptual precision for data channels (e.g., position, length, orientation, etc.) are based largely on verbal reports of ratio judgments between two values (e.g., [7]). Verbal report conflates mul...
false
false
[ "Caitlyn M. McColeman", "Lane Harrison", "Mi Feng", "Steven Franconeri" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/OItjd5sPxBg", "icon": "video" } ]
InfoVis
2,020
Palettailor: Discriminable Colorization for Categorical Data
10.1109/TVCG.2020.3030406
We present an integrated approach for creating and assigning color palettes to different visualizations such as multi-class scatterplots, line, and bar charts. While other methods separate the creation of colors from their assignment, our approach takes data characteristics into account to produce color palettes, which...
false
false
[ "Kecheng Lu", "Mi Feng", "Xin Chen", "Michael Sedlmair", "Oliver Deussen", "Dani Lischinski", "Zhanglin Cheng", "Yunhai Wang" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.02969v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/L_8mE_xTf1c", "icon": "video" } ]
InfoVis
2,020
Personal Augmented Reality for Information Visualization on Large Interactive Displays
10.1109/TVCG.2020.3030460
In this work we propose the combination of large interactive displays with personal head-mounted Augmented Reality (AR) for information visualization to facilitate data exploration and analysis. Even though large displays provide more display space, they are challenging with regard to perception, effective multi-user s...
false
false
[ "Patrick Reipschläger", "Tamara Flemisch", "Raimund Dachselt" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.03237v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/xVZ0h5fSBqg", "icon": "video" } ]
InfoVis
2,020
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
10.1109/TVCG.2020.3030467
Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters. However, the design of storyline visualizations is a difficult task as users need to balance between aesthetic goals and narrative constraints. Despite that the optimization-based metho...
false
false
[ "Tan Tang", "Renzhong Li", "Xinke Wu", "Shuhan Liu", "Johannes Knittel", "Steffen Koch 0001", "Lingyun Yu 0001", "Peiran Ren", "Thomas Ertl", "Yingcai Wu" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.00249v1", "icon": "paper" } ]
InfoVis
2,020
QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement
10.1109/TVCG.2020.3030424
Adapting dashboard design to different contexts of use is an open question in visualisation research. Dashboard designers often seek to strike a balance between dashboard adaptability and ease-of-use, and in hospitals challenges arise from the vast diversity of key metrics, data models and users involved at different o...
false
false
[ "Mai El-Shehaly", "Rebecca Randell", "Matthew Brehmer", "Lynn McVey", "Natasha Alvarado", "Chris Gale", "Roy A. Ruddle" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.03002v1", "icon": "paper" } ]
InfoVis
2,020
Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference
10.1109/TVCG.2020.3030439
Color mapping is a foundational technique for visualizing scalar data. Prior literature offers guidelines for effective colormap design, such as emphasizing luminance variation while limiting changes in hue. However, empirical studies of color are largely focused on perceptual tasks. This narrow focus inhibits our unde...
false
false
[ "Khairi Reda", "Danielle Albers Szafir" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/avwrs", "icon": "paper" } ]
InfoVis
2,020
Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs
10.1109/TVCG.2020.3030371
Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariate graphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose responsive matrix cells as a focus+context approach for embedding ad...
false
false
[ "Tom Horak", "Philip Berger", "Heidrun Schumann", "Raimund Dachselt", "Christian Tominski" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.03385v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/4ibZT9_UE-o", "icon": "video" } ]
InfoVis
2,020
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
10.1109/TVCG.2020.3030448
Infographic is a data visualization technique which combines graphic and textual descriptions in an aesthetic and effective manner. Creating infographics is a difficult and time-consuming process which often requires significant attempts and adjustments even for experienced designers, not to mention novice users with l...
false
false
[ "Chunyao Qian", "Shizhao Sun", "Weiwei Cui", "Jian-Guang Lou", "Haidong Zhang", "Dongmei Zhang 0001" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.01177v1", "icon": "paper" } ]
InfoVis
2,020
Revealing Perceptual Proxies with Adversarial Examples
10.1109/TVCG.2020.3030429
Data visualizations convert numbers into visual marks so that our visual system can extract data from an image instead of raw numbers. Clearly, the visual system does not compute these values as a computer would, as an arithmetic mean or a correlation. Instead, it extracts these patterns using perceptual proxies; heuri...
false
false
[ "Brian D. Ondov", "Fumeng Yang", "Matthew Kay 0001", "Niklas Elmqvist", "Steven Franconeri" ]
[]
[]
[]
InfoVis
2,020
Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes
10.1109/TVCG.2020.3030400
Ubiquitous, situated, and physical visualizations create entirely new possibilities for tasks contextualized in the real world, such as doctors inserting needles. During the development of situated visualizations, evaluating visualizations is a core requirement. However, performing such evaluations is intrinsically har...
false
false
[ "Maximilian Weiß", "Katrin Angerbauer", "Alexandra Voit", "Magdalena Schwarzl", "Michael Sedlmair", "Sven Mayer" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/gs6BCWhwQpI", "icon": "video" } ]
InfoVis
2,020
SafetyLens: Visual Data Analysis of Functional Safety of Vehicles
10.1109/TVCG.2020.3030382
Modern automobiles have evolved from just being mechanical machines to having full-fledged electronics systems that enhance vehicle dynamics and driver experience. However, these complex hardware and software systems, if not properly designed, can experience failures that can compromise the safety of the vehicle, its o...
false
false
[ "Arpit Narechania", "Ahsan Qamar", "Alex Endert" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2007.15832v3", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/z4Bwo1v4Xhk", "icon": "video" } ]
InfoVis
2,020
Scalability of Network Visualisation from a Cognitive Load Perspective
10.1109/TVCG.2020.3030459
Node-link diagrams are widely used to visualise networks. However, even the best network layout algorithms ultimately result in ‘hairball’ visualisations when the graph reaches a certain degree of complexity, requiring simplification through aggregation or interaction (such as filtering) to remain usable. Until now, th...
false
false
[ "Vahan Yoghourdjian", "Yalong Yang 0001", "Tim Dwyer", "Lawrence Lee", "Michael Wybrow", "Kim Marriott" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.07944v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/BH14iZqlZVI", "icon": "video" } ]
InfoVis
2,020
Semantic Discriminability for Visual Communication
10.1109/TVCG.2020.3030434
To interpret information visualizations, observers must determine how visual features map onto concepts. First and foremost, this ability depends on perceptual discriminability; observers must be able to see the difference between different colors for those colors to communicate different meanings. However, the ability...
false
false
[ "Karen B. Schloss", "Zachary Leggon", "Laurent Lessard" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.03171v1", "icon": "paper" } ]
InfoVis
2,020
Sequence Braiding: Visual Overviews of Temporal Event Sequences and Attributes
10.1109/TVCG.2020.3030442
Temporal event sequence alignment has been used in many domains to visualize nuanced changes and interactions over time. Existing approaches align one or two sentinel events. Overview tasks require examining all alignments of interest using interaction and time or juxtaposition of many visualizations. Furthermore, any ...
false
false
[ "Sara Di Bartolomeo", "Yixuan Zhang", "Fangfang Sheng", "Cody Dunne" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/mq2wt", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/dPBnoCoGdq4", "icon": "video" } ]
InfoVis
2,020
Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment
10.1109/TVCG.2020.3030450
Immersive technologies offer new opportunities to support collaborative visual data analysis by providing each collaborator a personal, high-resolution view of a flexible shared visualisation space through a head mounted display. However, most prior studies of collaborative immersive analytics have focused on how group...
false
false
[ "Benjamin Lee", "Xiaoyun Hu", "Maxime Cordeil", "Arnaud Prouzeau", "Bernhard Jenny", "Tim Dwyer" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.00050v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/fs4R0N42_MU", "icon": "video" } ]
InfoVis
2,020
ShuttleSpace: Exploring and Analyzing Movement Trajectory in Immersive Visualization
10.1109/TVCG.2020.3030392
We present ShuttleSpace, an immersive analytics system to assist experts in analyzing trajectory data in badminton. Trajectories in sports, such as the movement of players and balls, contain rich information on player behavior and thus have been widely analyzed by coaches and analysts to improve the players' performanc...
false
false
[ "Shuainan Ye", "Zhutian Chen", "Xiangtong Chu", "Yifan Wang", "Siwei Fu", "Lejun Shen", "Kun Zhou", "Yingcai Wu" ]
[]
[]
[]
InfoVis
2,020
SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects
10.1109/TVCG.2020.3030404
In this paper, we propose SineStream, a new variant of streamgraphs that improves their readability by minimizing sine illusion effects. Such effects reflect the tendency of humans to take the orthogonal rather than the vertical distance between two curves as their distance. In SineStream, we connect the readability of...
false
false
[ "Chuan Bu", "Quanjie Zhang", "Qianwen Wang", "Jian Zhang 0070", "Michael Sedlmair", "Oliver Deussen", "Yunhai Wang" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/ZWYynQEBKj4", "icon": "video" } ]
InfoVis
2,020
Staged Animation Strategies for Online Dynamic Networks
10.1109/TVCG.2020.3030385
Dynamic networks-networks that change over time-can be categorized into two types: offline dynamic networks, where all states of the network are known, and online dynamic networks, where only the past states of the network are known. Research on staging animated transitions in dynamic networks has focused more on offli...
false
false
[ "Tarik Crnovrsanin", "Shilpika", "Senthil K. Chandrasegaran", "Kwan-Liu Ma" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.02005v1", "icon": "paper" } ]
InfoVis
2,020
StructGraphics: Flexible Visualization Design through Data-Agnostic and Reusable Graphical Structures
10.1109/TVCG.2020.3030476
Information visualization research has developed powerful systems that enable users to author custom data visualizations without textual programming. These systems can support graphics-driven practices by bridging lazy data-binding mechanisms with vector-graphics editing tools. Yet, despite their expressive power, visu...
false
false
[ "Theophanis Tsandilas" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/1CAfAmzC4z0", "icon": "video" } ]
InfoVis
2,020
Table Scraps: An Actionable Framework for Multi-Table Data Wrangling From An Artifact Study of Computational Journalism
10.1109/TVCG.2020.3030462
For the many journalists who use data and computation to report the news, data wrangling is an integral part of their work. Despite an abundance of literature on data wrangling in the context of enterprise data analysis, little is known about the specific operations, processes, and pain points journalists encounter whi...
false
false
[ "Stephen Kasica", "Charles Berret", "Tamara Munzner" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.02373v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/g2gXq1DGULg", "icon": "video" } ]
InfoVis
2,020
The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays
10.1109/TVCG.2020.3030446
Dynamic networks can be challenging to analyze visually, especially if they span a large time range during which new nodes and edges can appear and disappear. Although it is straightforward to provide interfaces for visualization that represent multiple states of the network (i.e., multiple timeslices) either simultane...
false
false
[ "Alexandra Lee", "Daniel Archambault", "Miguel A. Nacenta" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.12747v1", "icon": "paper" } ]
InfoVis
2,020
Towards Modeling Visualization Processes as Dynamic Bayesian Networks
10.1109/TVCG.2020.3030395
Visualization designs typically need to be evaluated with user studies, because their suitability for a particular task is hard to predict. What the field of visualization is currently lacking are theories and models that can be used to explain why certain designs work and others do not. This paper outlines a general f...
false
false
[ "Christian Heine 0002" ]
[]
[]
[]
InfoVis
2,020
Truth or Square: Aspect Ratio Biases Recall of Position Encodings
10.1109/TVCG.2020.3030422
Bar charts are among the most frequently used visualizations, in part because their position encoding leads them to convey data values precisely. Yet reproductions of single bars or groups of bars within a graph can be biased. Curiously, some previous work found that this bias resulted in an overestimation of reproduce...
false
false
[ "Cristina R. Ceja", "Caitlyn M. McColeman", "Cindy Xiong", "Steven Franconeri" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.06773v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/YdMBzudK-sA", "icon": "video" } ]
InfoVis
2,020
VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network
10.1109/TVCG.2020.3030343
We present an approach called VisCode for embedding information into visualization images. This technology can implicitly embed data information specified by the user into a visualization while ensuring that the encoded visualization image is not distorted. The VisCode framework is based on a deep neural network. We pr...
false
false
[ "Peiying Zhang", "Chenhui Li", "Changbo Wang" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2009.03817v1", "icon": "paper" } ]
InfoVis
2,020
VisConnect: Distributed Event Synchronization for Collaborative Visualization
10.1109/TVCG.2020.3030366
Tools and interfaces are increasingly expected to be synchronous and distributed to accommodate remote collaboration. Yet, adoption of these techniques for data visualization is low partly because development is difficult: existing collaboration software systems either do not support simultaneous interaction or require...
false
false
[ "Michail Schwab", "David Saffo", "Yixuan Zhang", "Shash Sinha", "Cristina Nita-Rotaru", "James Tompkin 0001", "Cody Dunne", "Michelle Borkin" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/ut7e6", "icon": "paper" } ]
InfoVis
2,020
Visual Analysis of Discrimination in Machine Learning
10.1109/TVCG.2020.3030471
The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning. How can we decide whether different treatments are reasonable or discriminatory? In this paper, we investigate discrimination in machine learnin...
false
false
[ "Qianwen Wang", "Zhenhua Xu", "Zhutian Chen", "Yong Wang 0021", "Shixia Liu", "Huamin Qu" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2007.15182v2", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/-K5ZXfMNLVY", "icon": "video" } ]
InfoVis
2,020
Visual Reasoning Strategies for Effect Size Judgments and Decisions
10.1109/TVCG.2020.3030335
Uncertainty visualizations often emphasize point estimates to support magnitude estimates or decisions through visual comparison. However, when design choices emphasize means, users may overlook uncertainty information and misinterpret visual distance as a proxy for effect size. We present findings from a mixed design ...
false
false
[ "Alex Kale", "Matthew Kay 0001", "Jessica Hullman" ]
[ "BP" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2007.14516v3", "icon": "paper" } ]
InfoVis
2,020
What Makes a Data-GIF Understandable?
10.1109/TVCG.2020.3030396
GIFs are enjoying increasing popularity on social media as a format for data-driven storytelling with visualization; simple visual messages are embedded in short animations that usually last less than 15 seconds and are played in automatic repetition. In this paper, we ask the question, “What makes a data-GIF understan...
false
false
[ "Xinhuan Shu", "Aoyu Wu", "Junxiu Tang", "Benjamin Bach", "Yingcai Wu", "Huamin Qu" ]
[]
[ "V" ]
[ { "name": "Fast Forward", "url": "https://youtu.be/vs3iucWl0qI", "icon": "video" } ]
InfoVis
2,020
Zoomless Maps: External Labeling Methods for the Interactive Exploration of Dense Point Sets at a Fixed Map Scale
10.1109/TVCG.2020.3030399
Visualizing spatial data on small-screen devices such as smartphones and smartwatches poses new challenges in computational cartography. The current interfaces for map exploration require their users to zoom in and out frequently. Indeed, zooming and panning are tools suitable for choosing the map extent corresponding ...
false
false
[ "Sven Gedicke", "Annika Bonerath", "Benjamin Niedermann", "Jan-Henrik Haunert" ]
[]
[ "P", "V" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2008.13556v1", "icon": "paper" }, { "name": "Fast Forward", "url": "https://youtu.be/IuMhk8jp54c", "icon": "video" } ]
EuroVis
2,020
A Globally Conforming Lattice Structure for 2D Stress Tensor Visualization
10.1111/cgf.13991
We present a visualization technique for 2D stress tensor fields based on the construction of a globally conforming lattice. Conformity ensures that the lattice edges follow the principal stress directions and the aspect ratio of lattice elements represents the stress anisotropy. Since such a lattice structure cannot b...
false
false
[ "Junpeng Wang", "Jun Wu 0005", "Rüdiger Westermann" ]
[]
[]
[]
EuroVis
2,020
A Survey of Seed Placement and Streamline Selection Techniques
10.1111/cgf.14036
Streamlines are an extensively utilized flow visualization technique for understanding, verifying, and exploring computational fluid dynamics simulations. One of the major challenges associated with the technique is selecting which streamlines to display. Using a large number of streamlines results in dense, cluttered ...
false
false
[ "Sudhanshu Sane", "Roxana Bujack", "Christoph Garth", "Hank Childs" ]
[]
[]
[]
EuroVis
2,020
A Survey on Transit Map Layout - from Design, Machine, and Human Perspectives
10.1111/cgf.14030
Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time‐consuming process, which requires iterative information selection, layout design, and usability validation, and thus maps cannot easily be customised or updated frequently. ...
false
false
[ "Hsiang-Yun Wu", "Benjamin Niedermann", "Shigeo Takahashi", "Maxwell J. Roberts", "Martin Nöllenburg" ]
[]
[]
[]
EuroVis
2,020
A Visual Analytics Approach to Facilitate Crime Hotspot Analysis
10.1111/cgf.13969
Computer‐based technology has played a significant role in crime prevention over the past 30 years, especially with the popularization of spatial databases and crime mapping systems. Police departments frequently use hotspot analysis to identify regions that should be a priority in receiving preventive resources. Pract...
false
false
[ "Jose Florencio de Queiroz Neto", "Emanuele Marques dos Santos", "Creto Augusto Vidal", "David S. Ebert" ]
[]
[]
[]
EuroVis
2,020
Augmenting Node-Link Diagrams with Topographic Attribute Maps
10.1111/cgf.13987
We propose a novel visualization technique for graphs that are attributed with scalar data. In many scenarios, these attributes (e.g., birth date in a family network) provide ambient context information for the graph structure, whose consideration is important for different visual graph analysis tasks. Graph attributes...
false
false
[ "Reinhold Preiner", "Johanna Schmidt", "Katharina Krösl", "Tobias Schreck", "Gabriel Mistelbauer" ]
[]
[]
[]
EuroVis
2,020
Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game
10.1111/cgf.13965
Competition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In this paper, we study such competition and collaboration behavior for a computer game. Serving as a...
false
false
[ "Shivam Agarwal", "Günter Wallner", "Fabian Beck 0001" ]
[]
[]
[]
EuroVis
2,020
Boxer: Interactive Comparison of Classifier Results
10.1111/cgf.13972
Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Our system facilitates interactive exploration of the experimental results obtained by applying multiple classifiers to a common set of model ...
false
false
[ "Michael Gleicher", "Aditya Barve", "Xinyi Yu", "Florian Heimerl" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2004.07964v1", "icon": "paper" } ]
EuroVis
2,020
Canis: A High-Level Language for Data-Driven Chart Animations
10.1111/cgf.14005
In this paper, we introduce Canis, a high‐level domain‐specific language that enables declarative specifications of data‐driven chart animations. By leveraging data‐enriched SVG charts, its grammar of animations can be applied to the charts created by existing chart construction tools. With Canis, designers can select ...
false
false
[ "T. Ge", "Y. Zhao", "B. Lee", "D. Ren", "B. Chen", "Y. Wang" ]
[]
[]
[]
EuroVis
2,020
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
10.1111/cgf.13973
Training data plays an essential role in modern applications of machine learning. However, gathering labeled training data is time‐consuming. Therefore, labeling is often outsourced to less experienced users, or completely automated. This can introduce errors, which compromise valuable training data, and lead to subopt...
false
false
[ "Alex Bäuerle", "Heiko Neumann", "Timo Ropinski" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1808.03114v4", "icon": "paper" } ]
EuroVis
2,020
Co-creating Visualizations: A First Evaluation with Social Science Researchers
10.1111/cgf.13981
Co‐creation is a design method where designers and domain experts work together to develop a product. In this paper, we present and evaluate the use of co‐creation to design a visual information system with social science researchers in order to explore and analyze their data. Co‐creation proposes involving the future ...
false
false
[ "Gabriela Molina León", "Andreas Breiter" ]
[]
[]
[]
EuroVis
2,020
CPU Ray Tracing of Tree-Based Adaptive Mesh Refinement Data
10.1111/cgf.13958
Adaptive mesh refinement (AMR) techniques allow for representing a simulation's computation domain in an adaptive fashion. Although these techniques have found widespread adoption in high‐performance computing simulations, visualizing their data output interactively and without cracks or artifacts remains challenging. ...
false
false
[ "Feng Wang 0013", "Nathan Marshak", "William Usher 0001", "Carsten Burstedde", "Aaron Knoll", "Timo Heister", "Chris R. Johnson 0001" ]
[]
[]
[]
EuroVis
2,020
Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation
10.1111/cgf.13994
Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation. Information visualizations already exist for exploring flight logs but comprehensive analyses currently require several disparate and custom tools. Thi...
false
false
[ "David Saffo", "Aristotelis Leventidis", "Twinkle Jain", "Michelle A. Borkin", "Cody Dunne" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2005.06011v1", "icon": "paper" } ]
EuroVis
2,020
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
10.1111/cgf.13962
We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent moves in an environment and is not trivial to understand due to the number of dimensions, depend...
false
false
[ "Theo Jaunet", "Romain Vuillemot", "Christian Wolf 0001" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1909.02982v2", "icon": "paper" } ]
EuroVis
2,020
Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates
10.1111/cgf.14000
The ability to perceive patterns in parallel coordinates plots (PCPs) is heavily influenced by the ordering of the dimensions. While the community has proposed over 30 automatic ordering strategies, we still lack empirical guidance for choosing an appropriate strategy for a given task. In this paper, we first propose a...
false
false
[ "Michael Blumenschein", "Xuan Zhang", "David Pomerenke", "Daniel A. Keim", "Johannes Fuchs 0001" ]
[]
[]
[]
EuroVis
2,020
Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology
10.1111/cgf.13982
This paper does two main contributions to 2D time‐dependent vector field topology. First, we present a technique for robust, accurate, and efficient extraction of distinguished hyperbolic trajectories (DHT), the generative structures of 2D time‐dependent vector field topology. It is based on refinement of initial candi...
false
false
[ "Lutz Hofmann", "Filip Sadlo" ]
[]
[]
[]
EuroVis
2,020
Feature Driven Combination of Animated Vector Field Visualizations
10.1111/cgf.13992
Animated visualizations are one of the methods for finding and understanding complex structures of time‐dependent vector fields. Many visualization designs can be used to this end, such as streamlines, vector glyphs, and image‐based techniques. While all such designs can depict any vector field, their effectiveness in ...
false
false
[ "María-Jesús Lobo", "Alexandru C. Telea", "Christophe Hurter" ]
[]
[]
[]
EuroVis
2,020
Fiber Surfaces for many Variables
10.1111/cgf.13983
Scientific visualization deals with increasingly complex data consisting of multiple fields. Typical disciplines generating multivariate data are fluid dynamics, structural mechanics, geology, bioengineering, and climate research. Quite often, scientists are interested in the relation between some of these variables. A...
false
false
[ "Christian Blecha", "Felix Raith", "A. J. Präger", "Thomas Nagel", "Olaf Kolditz", "Jobst Maßmann", "Niklas Röber", "Michael Böttinger", "Gerik Scheuermann" ]
[]
[]
[]
EuroVis
2,020
Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees
10.1111/cgf.13985
We describe a novel technique for the simultaneous visualization of multiple scalar fields, e.g. representing the members of an ensemble, based on their contour trees. Using tree alignments, a graph‐theoretic concept similar to edit distance mappings, we identify commonalities across multiple contour trees and leverage...
false
false
[ "Anna Pia Lohfink", "Florian Wetzels", "Jonas Lukasczyk", "Gunther H. Weber", "Christoph Garth" ]
[]
[]
[]
EuroVis
2,020
GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map
10.1111/cgf.13995
Data containing geospatial semantics, such as geotagged tweets, travel blogs, and crime reports, associates natural language texts with geographical locations. This paper presents a lens‐based visual interaction technique, GTMapLens, to flexibly browse the geo‐text data on a map. It allows users to perform dynamic focu...
false
false
[ "Chao Ma 0023", "Ye Zhao 0003", "Shamal Al-Dohuki", "Jing Yang 0001", "Xinyue Ye", "Farah Kamw", "Md. Amiruzzaman" ]
[]
[]
[]
EuroVis
2,020
Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting Planes
10.1111/cgf.13960
Visualizing 3D vector fields is challenging because of occlusion problems and the difficulty of providing depth cues that adequately support the perception of direction of flow lines in 3D space. One of the depth cues that has proven most valuable for the perception of other kinds of 3D data, notably 3D networks and 3D...
false
false
[ "Andrew H. Stevens", "Colin Ware", "Thomas Butkiewicz", "David H. Rogers 0001", "Greg Abram" ]
[]
[]
[]
EuroVis
2,020
Infomages: Embedding Data into Thematic Images
10.1111/cgf.14004
Recent studies have indicated that visually embellished charts such as infographics have the ability to engage viewers and positively affect memorability. Fueled by these findings, researchers have proposed a variety of infographic design tools. However, these tools do not cover the entire design space. In this work, w...
false
false
[ "Darius Coelho", "Klaus Mueller 0001" ]
[ "HM" ]
[]
[]
EuroVis
2,020
Knowledge-Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
10.1111/cgf.13959
Breast perfusion data are dynamic medical image data that depict perfusion characteristics of the investigated tissue. These data consist of a series of static datasets that are acquired at different time points and aggregated into time intensity curves (TICs) for each voxel. The characteristics of these TICs provide i...
false
false
[ "Kai Nie", "Pascal A. Baltzer", "Bernhard Preim", "Gabriel Mistelbauer" ]
[]
[]
[]
EuroVis
2,020
LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization
10.1111/cgf.13993
Visualization of large vector line data is a core task in geographic and cartographic systems. Vector maps are often displayed at different cartographic generalization levels, traditionally by using several discrete levels‐of‐detail (LODs). This limits the generalization levels to a fixed and predefined set of LODs, an...
false
false
[ "Alireza Amiraghdam", "Alexandra Diehl", "Renato Pajarola" ]
[ "HM" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1909.05511v2", "icon": "paper" } ]
EuroVis
2,020
Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments
10.1111/cgf.13976
This paper describes results from an observational, exploratory study of visual data exploration in a large, multi‐view, flexible canvas environment. Participants were provided with a set of data exploration sub‐tasks associated with a local crime dataset and were instructed to pose questions to a remote mediator who w...
false
false
[ "Jillian Aurisano", "Abhinav Kumar 0002", "Abeer Alsaiari", "Barbara Di Eugenio", "Andrew E. Johnson 0001" ]
[]
[]
[]
EuroVis
2,020
Metro Maps on Octilinear Grid Graphs
10.1111/cgf.13986
Schematic transit maps (often called “metro maps” in the literature) are important to produce comprehensible visualizations of complex public transit networks. In this work, we investigate the problem of automatically drawing such maps on an octilinear grid with an arbitrary (but optimal) number of edge bends. Our appr...
false
false
[ "Hannah Bast", "Patrick Brosi", "Sabine Storandt" ]
[]
[]
[]
EuroVis
2,020
MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior
10.1111/cgf.13963
Domain experts for collective animal behavior analyze relationships between single animal movers and groups of animals over time and space to detect emergent group properties. A common way to interpret this type of data is to visualize it as a spatio‐temporal network. Collective behavior data sets are often large, and ...
false
false
[ "Eren Cakmak", "Hanna Schäfer", "Juri Buchmüller", "Johannes Fuchs 0001", "Tobias Schreck", "Alex Jordan", "Daniel A. Keim" ]
[]
[]
[]
EuroVis
2,020
Ocupado: Visualizing Location-Based Counts Over Time Across Buildings
10.1111/cgf.13968
Understanding how spaces in buildings are being used is vital for optimizing space utilization, for improving resource allocation, and for the design of new facilities. We present a multi‐year design study that resulted in Ocupado, a set of visual decision‐support tools centered around occupancy data for stakeholders i...
false
false
[ "Michael Oppermann", "Tamara Munzner" ]
[]
[]
[]
EuroVis
2,020
Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones
10.1111/cgf.13967
People are becoming increasingly sophisticated in their ability to navigate information spaces using search, hyperlinks, and visualization. But, mobile phones preclude the use of multiple coordinated views that have proven effective in the desktop environment (e.g., for business intelligence or visual analytics). In th...
false
false
[ "Philipp Eichmann", "Darren Edge", "Nathan Evans", "Bongshin Lee", "Matthew Brehmer", "Christopher M. White" ]
[]
[]
[]
EuroVis
2,020
PAVED: Pareto Front Visualization for Engineering Design
10.1111/cgf.13990
Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto‐optimal solutions, thus informing a decision by the engineer. However, the complexity of eva...
false
false
[ "Lena Cibulski", "Hubert Mitterhofer", "Thorsten May", "Jörn Kohlhammer" ]
[]
[]
[]
EuroVis
2,020
Peax : Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning
10.1111/cgf.13971
We present Peax, a novel feature‐based technique for interactive visual pattern search in sequential data, like time series or data mapped to a genome sequence. Visually searching for patterns by similarity is often challenging because of the large search space, the visual complexity of patterns, and the user's percept...
false
false
[ "Fritz Lekschas", "Brant Peterson", "Daniel Haehn", "Eric Ma", "Nils Gehlenborg", "Hanspeter Pfister" ]
[ "BP" ]
[]
[]
EuroVis
2,020
Phase Space Projection of Dynamical Systems
10.1111/cgf.13978
Dynamical systems are commonly used to describe the state of time‐dependent systems. In many engineering and control problems, the state space is high‐dimensional making it difficult to analyze and visualize the behavior of the system for varying input conditions. We present a novel dimensionality reduction technique t...
false
false
[ "Nemanja Bartolovic", "Markus Gross 0001", "Tobias Günther" ]
[ "HM" ]
[]
[]
EuroVis
2,020
Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities
10.1111/cgf.14032
Preservation of data privacy and protection of sensitive information from potential adversaries constitute a key socio‐technical challenge in the modern era of ubiquitous digital transformation. Addressing this challenge needs analysis of multiple factors: algorithmic choices for balancing privacy and loss of utility, ...
false
false
[ "Kaustav Bhattacharjee", "Min Chen 0001", "Aritra Dasgupta" ]
[]
[]
[]
EuroVis
2,020
Quantitative Comparison of Time-Dependent Treemaps
10.1111/cgf.13989
Rectangular treemaps are often the method of choice to visualize large hierarchical datasets. Nowadays such datasets are available over time, hence there is a need for (a) treemaps that can handle time‐dependent data, and (b) corresponding quality criteria that cover both a treemap's visual quality and its stability ov...
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[ "Eduardo Faccin Vernier", "Max Sondag", "João Luiz Dihl Comba", "Bettina Speckmann", "Alexandru C. Telea", "Kevin Verbeek" ]
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[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1906.06014v2", "icon": "paper" } ]
EuroVis
2,020
Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques
10.1111/cgf.13977
Dimensionality reduction methods are an essential tool for multidimensional data analysis, and many interesting processes can be studied as time‐dependent multivariate datasets. There are, however, few studies and proposals that leverage on the concise power of expression of projections in the context of dynamic/tempor...
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[ "Eduardo Faccin Vernier", "Rafael Garcia", "Iron Prando da Silva", "João Luiz Dihl Comba", "Alexandru C. Telea" ]
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[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/2002.07481v1", "icon": "paper" } ]
EuroVis
2,020
QUESTO: Interactive Construction of Objective Functions for Classification Tasks
10.1111/cgf.13970
Building effective classifiers requires providing the modeling algorithms with information about the training data and modeling goals in order to create a model that makes proper tradeoffs. Machine learning algorithms allow for flexible specification of such meta‐information through the design of the objective function...
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[ "Subhajit Das 0002", "Shenyu Xu", "Michael Gleicher", "Remco Chang", "Alex Endert" ]
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EuroVis
2,020
Reading Traces: Scalable Exploration in Elastic Visualizations of Cultural Heritage Data
10.1111/cgf.13964
Through a design study, we develop an approach to data exploration that utilizes elastic visualizations designed to support varying degrees of detail and abstraction. Examining the notions of scalability and elasticity in interactive visualizations, we introduce a visualization of personal reading traces such as margin...
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[ "Mark-Jan Bludau", "Viktoria Brüggemann", "Anna Busch", "Marian Dörk" ]
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EuroVis
2,020
Representative Isovalue Detection and Isosurface Segmentation Using Novel Isosurface Measures
10.1111/cgf.13961
Interval volume is the volume of the region between two isosurfaces. This paper proposes a novel measure, called VOA measure, that is computed based on interval volume and isosurface area. This measure represents the rate of change of distance between isosurfaces with respect to isovalue. It can be used to detect repre...
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[ "Cuilan Wang" ]
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EuroVis
2,020
Resolving Conflicting Insights in Asynchronous Collaborative Visual Analysis
10.1111/cgf.13997
Analyzing large and complex datasets for critical decision making can benefit from a collective effort involving a team of analysts. However, insights and findings from different analysts are often incomplete, disconnected, or even conflicting. Most existing analysis tools lack proper support for examining and resolvin...
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[ "Jianping Kelvin Li", "Shenyu Xu", "Yecong (Chris) Ye", "Kwan-Liu Ma" ]
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EuroVis
2,020
SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Designs
10.1111/cgf.13999
Despite the significance of tracking human mobility dynamics in a large‐scale earthquake evacuation for an effective first response and disaster relief, the general understanding of evacuation behaviors remains limited. Numerous individual movement trajectories, disaster damages of civil engineering, associated heterog...
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[ "Quan Li", "Yingjie Liu", "Li Chen", "Xingchao Yang", "Yi Peng", "Xiaoru Yuan", "M. L. L. Wijerathne" ]
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EuroVis
2,020
SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics
10.1111/cgf.13998
Problem‐solving dynamics refers to the process of solving a series of problems over time, from which a student's cognitive skills and non‐cognitive traits and behaviors can be inferred. For example, we can derive a student's learning curve (an indicator of cognitive skill) from the changes in the difficulty level of pr...
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[ "Meng Xia", "Min Xu", "Chuan-En Lin", "Ta Ying Cheng", "Huamin Qu", "Xiaojuan Ma" ]
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EuroVis
2,020
Set Streams: Visual Exploration of Dynamic Overlapping Sets
10.1111/cgf.13988
In many applications, membership of set elements changes over time. Since each element can be present in multiple sets, the sets also overlap. As a result, it becomes challenging to visualize the temporal change in set membership of elements across several timesteps while showing individual set intersections. We propos...
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[ "Shivam Agarwal", "Fabian Beck 0001" ]
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EuroVis
2,020
Short-Contact Touch-Manipulation of Scatterplot Matrices on Wall Displays
10.1111/cgf.13979
This paper presents a short‐contact multitouch vocabulary for interacting with scatterplot matrices (SPLOMs) on wall‐sized displays. Fling‐based gestures overcome central interaction challenges of such large displays by avoiding long swipes on the typically blunt surfaces, frequent physical navigation by walking for ac...
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[ "Patrick Riehmann", "Gabriela Molina León", "Joshua Reibert", "Florian Echtler", "Bernd Fröhlich 0001" ]
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EuroVis
2,020
State of the Art in Time-Dependent Flow Topology: Interpreting Physical Meaningfulness Through Mathematical Properties
10.1111/cgf.14037
We present a state‐of‐the‐art report on time‐dependent flow topology. We survey representative papers in visualization and provide a taxonomy of existing approaches that generalize flow topology from time‐independent to time‐dependent settings. The approaches are classified based upon four categories: tracking of stead...
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[ "Roxana Bujack", "Lin Yan", "Ingrid Hotz", "Christoph Garth", "Bei Wang 0001" ]
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EuroVis
2,020
Structure and Empathy in Visual Data Storytelling: Evaluating their Influence on Attitude
10.1111/cgf.13980
In the visualization community, it is often assumed that visual data storytelling increases memorability and engagement, making it more effective at communicating information. However, many assumptions about the efficacy of storytelling in visualization lack empirical evaluation. Contributing to an emerging body of wor...
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[ "Johannes Liem", "Charles Perin", "Jo Wood" ]
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EuroVis
2,020
Sublinear Time Force Computation for Big Complex Network Visualization
10.1111/cgf.14003
In this paper, we present a new framework for sublinear time force computation for visualization of big complex graphs. Our algorithm is based on the sampling of vertices for computing repulsion forces and edge sparsification for attraction force computation. More specifically, for vertex sampling, we present three typ...
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[ "Amyra Meidiana", "Seok-Hee Hong 0001", "Marnijati Torkel", "Shijun Cai", "Peter Eades" ]
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EuroVis
2,020
Sunspot Plots: Model-based Structure Enhancement for Dense Scatter Plots
10.1111/cgf.14001
Scatter plots are a powerful and well‐established technique for visualizing the relationships between two variables as a collection of discrete points. However, especially when dealing with large and dense data, scatter plots often exhibit problems such as overplotting, making the data interpretation arduous. Density p...
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[ "Thomas Trautner", "Fabian Bolte", "Sergej Stoppel", "Stefan Bruckner" ]
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