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InfoVis
2,018
Comparing Similarity Perception in Time Series Visualizations
10.1109/TVCG.2018.2865077
A common challenge faced by many domain experts working with time series data is how to identify and compare similar patterns. This operation is fundamental in high-level tasks, such as detecting recurring phenomena or creating clusters of similar temporal sequences. While automatic measures exist to compute time serie...
false
false
[ "Anna Gogolou", "Theophanis Tsandilas", "Themis Palpanas", "Anastasia Bezerianos" ]
[]
[]
[]
InfoVis
2,018
Design Exposition with Literate Visualization
10.1109/TVCG.2018.2864836
We propose a new approach to the visualization design and communication process, literate visualization, based upon and extending, Donald Knuth's idea of literate programming. It integrates the process of writing data visualization code with description of the design choices that led to the implementation (design expos...
false
false
[ "Jo Wood", "Alexander Kachkaev", "Jason Dykes" ]
[ "HM" ]
[]
[]
InfoVis
2,018
DimReader: Axis lines that explain non-linear projections
10.1109/TVCG.2018.2865194
Non-linear dimensionality reduction (NDR) methods such as LLE and t-SNE are popular with visualization researchers and experienced data analysts, but present serious problems of interpretation. In this paper, we present DimReader, a technique that recovers readable axes from such techniques. DimReader is based on analy...
false
false
[ "Rebecca Faust", "David Glickenstein", "Carlos Scheidegger" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1710.00992v2", "icon": "paper" } ]
InfoVis
2,018
DXR: A Toolkit for Building Immersive Data Visualizations
10.1109/TVCG.2018.2865152
This paper presents DXR, a toolkit for building immersive data visualizations based on the Unity development platform. Over the past years, immersive data visualizations in augmented and virtual reality (AR, VR) have been emerging as a promising medium for data sense-making beyond the desktop. However, creating immersi...
false
false
[ "Ronell Sicat", "Jiabao Li", "Junyoung Choi", "Maxime Cordeil", "Won-Ki Jeong", "Benjamin Bach", "Hanspeter Pfister" ]
[]
[]
[]
InfoVis
2,018
Dynamic Composite Data Physicalization Using Wheeled Micro-Robots
10.1109/TVCG.2018.2865159
This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizatio...
false
false
[ "Mathieu Le Goc", "Charles Perin", "Sean Follmer", "Jean-Daniel Fekete", "Pierre Dragicevic" ]
[]
[]
[]
InfoVis
2,018
Elastic Documents: Coupling Text and Tables through Contextual Visualizations for Enhanced Document Reading
10.1109/TVCG.2018.2865119
Today's data-rich documents are often complex datasets in themselves, consisting of information in different formats such as text, figures, and data tables. These additional media augment the textual narrative in the document. However, the static layout of a traditional for-print document often impedes deep understandi...
false
false
[ "Sriram Karthik Badam", "Zhicheng Liu", "Niklas Elmqvist" ]
[]
[]
[]
InfoVis
2,018
Embedded Merge & Split: Visual Adjustment of Data Grouping
10.1109/TVCG.2018.2865075
Data grouping is among the most frequently used operations in data visualization. It is the process through which relevant information is gathered, simplified, and expressed in summary form. Many popular visualization tools support automatic grouping of data (e.g., dividing up a numerical variable into bins). Although ...
false
false
[ "Ali Sarvghad", "Bahador Saket", "Alex Endert", "Nadir Weibel" ]
[]
[]
[]
InfoVis
2,018
Evaluating ‘Graphical Perception’ with CNNs
10.1109/TVCG.2018.2865138
Convolutional neural networks can successfully perform many computer vision tasks on images. For visualization, how do CNNs perform when applied to graphical perception tasks? We investigate this question by reproducing Cleveland and McGill's seminal 1984 experiments, which measured human perception efficiency of diffe...
false
false
[ "Daniel Haehn", "James Tompkin 0001", "Hanspeter Pfister" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/8b9xs", "icon": "paper" } ]
InfoVis
2,018
Face to Face: Evaluating Visual Comparison
10.1109/TVCG.2018.2864884
Data are often viewed as a single set of values, but those values frequently must be compared with another set. The existing evaluations of designs that facilitate these comparisons tend to be based on intuitive reasoning, rather than quantifiable measures. We build on this work with a series of crowdsourced experiment...
false
false
[ "Brian D. Ondov", "Nicole Jardine", "Niklas Elmqvist", "Steven Franconeri" ]
[]
[]
[]
InfoVis
2,018
FiberClay: Sculpting Three Dimensional Trajectories to Reveal Structural Insights
10.1109/TVCG.2018.2865191
Visualizing 3D trajectories to extract insights about their similarities and spatial configuration is a critical task in several domains. Air traffic controllers for example deal with large quantities of aircrafts routes to optimize safety in airspace and neuroscientists attempt to understand neuronal pathways in the h...
false
false
[ "Christophe Hurter", "Nathalie Henry Riche", "Steven Mark Drucker", "Maxime Cordeil", "Richard Alligier", "Romain Vuillemot" ]
[]
[]
[]
InfoVis
2,018
Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco
10.1109/TVCG.2018.2865240
There exists a gap between visualization design guidelines and their application in visualization tools. While empirical studies can provide design guidance, we lack a formal framework for representing design knowledge, integrating results across studies, and applying this knowledge in automated design tools that promo...
false
false
[ "Dominik Moritz", "Chenglong Wang", "Greg L. Nelson", "Halden Lin", "Adam M. Smith 0001", "Bill Howe", "Jeffrey Heer" ]
[ "BP" ]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/3eg9c", "icon": "paper" } ]
InfoVis
2,018
Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches
10.1109/TVCG.2018.2865142
We present the results of two perception studies to assess how quickly people can perform a simple data comparison task for small-scale visualizations on a smartwatch. The main goal of these studies is to extend our understanding of design constraints for smartwatch visualizations. Previous work has shown that a vast m...
false
false
[ "Tanja Blascheck", "Lonni Besançon", "Anastasia Bezerianos", "Bongshin Lee", "Petra Isenberg" ]
[]
[]
[]
InfoVis
2,018
Graphicle: Exploring Units, Networks, and Context in a Blended Visualization Approach
10.1109/TVCG.2018.2865151
Many real-world datasets are large, multivariate, and relational in nature and relevant associated decisions frequently require a simultaneous consideration of both attributes and connections. Existing visualization systems and approaches, however, often make an explicit trade-off between either affording rich explorat...
false
false
[ "Timothy Major", "Rahul C. Basole" ]
[]
[]
[]
InfoVis
2,018
Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data
10.1109/TVCG.2018.2864909
Animated representations of outcomes drawn from distributions (hypothetical outcome plots, or HOPs) are used in the media and other public venues to communicate uncertainty. HOPs greatly improve multivariate probability estimation over conventional static uncertainty visualizations and leverage the ability of the visua...
false
false
[ "Alex Kale", "Francis Nguyen", "Matthew Kay 0001", "Jessica Hullman" ]
[]
[]
[]
InfoVis
2,018
IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support
10.1109/TVCG.2018.2865076
Type 1 diabetes is a chronic, incurable autoimmune disease affecting millions of Americans in which the body stops producing insulin and blood glucose levels rise. The goal of intensive diabetes management is to lower average blood glucose through frequent adjustments to insulin protocol, diet, and behavior. Manual log...
false
false
[ "Yixuan Zhang", "Kartik Chanana", "Cody Dunne" ]
[]
[]
[]
InfoVis
2,018
Image-Based Aspect Ratio Selection
10.1109/TVCG.2018.2865266
Selecting a good aspect ratio is crucial for effective 2D diagrams. There are several aspect ratio selection methods for function plots and line charts, but only few can handle general, discrete diagrams such as 2D scatter plots. However, these methods either lack a perceptual foundation or heavily rely on intermediate...
false
false
[ "Yunhai Wang", "Zeyu Wang 0005", "Chi-Wing Fu", "Hansjörg Schmauder", "Oliver Deussen", "Daniel Weiskopf" ]
[]
[]
[]
InfoVis
2,018
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation
10.1109/TVCG.2018.2864889
Understanding and accounting for uncertainty is critical to effectively reasoning about visualized data. However, evaluating the impact of an uncertainty visualization is complex due to the difficulties that people have interpreting uncertainty and the challenge of defining correct behavior with uncertainty information...
false
false
[ "Jessica Hullman", "Xiaoli Qiao", "Michael Correll", "Alex Kale", "Matthew Kay 0001" ]
[]
[]
[]
InfoVis
2,018
Information Olfactation: Harnessing Scent to Convey Data
10.1109/TVCG.2018.2865237
Olfactory feedback for analytical tasks is a virtually unexplored area in spite of the advantages it offers for information recall, feature identification, and location detection. Here we introduce the concept of information olfactation as the fragrant sibling of information visualization, and discuss how scent can be ...
false
false
[ "Biswaksen Patnaik", "Andrea Batch", "Niklas Elmqvist" ]
[]
[]
[]
InfoVis
2,018
iStoryline: Effective Convergence to Hand-drawn Storylines
10.1109/TVCG.2018.2864899
Storyline visualization techniques have progressed significantly to generate illustrations of complex stories automatically. However, the visual layouts of storylines are not enhanced accordingly despite the improvement in the performance and extension of its application area. Existing methods attempt to achieve severa...
false
false
[ "Tan Tang", "Sadia Rubab", "Jiewen Lai", "Weiwei Cui", "Lingyun Yu 0001", "Yingcai Wu" ]
[]
[]
[]
InfoVis
2,018
Juniper: A Tree+Table Approach to Multivariate Graph Visualization
10.1109/TVCG.2018.2865149
Analyzing large, multivariate graphs is an important problem in many domains, yet such graphs are challenging to visualize. In this paper, we introduce a novel, scalable, tree-table multivariate graph visualization technique, which makes many tasks related to multivariate graph analysis easier to achieve. The core prin...
false
false
[ "Carolina Nobre", "Marc Streit", "Alexander Lex" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1804.03261v2", "icon": "paper" } ]
InfoVis
2,018
Looks Good To Me: Visualizations As Sanity Checks
10.1109/TVCG.2018.2864907
Famous examples such as Anscombe's Quartet highlight that one of the core benefits of visualizations is allowing people to discover visual patterns that might otherwise be hidden by summary statistics. This visual inspection is particularly important in exploratory data analysis, where analysts can use visualizations s...
false
false
[ "Michael Correll", "Mingwei Li", "Gordon L. Kindlmann", "Carlos Scheidegger" ]
[]
[]
[]
InfoVis
2,018
Mapping Color to Meaning in Colormap Data Visualizations
10.1109/TVCG.2018.2865147
To interpret data visualizations, people must determine how visual features map onto concepts. For example, to interpret colormaps, people must determine how dimensions of color (e.g., lightness, hue) map onto quantities of a given measure (e.g., brain activity, correlation magnitude). This process is easier when the e...
false
false
[ "Karen B. Schloss", "Connor Gramazio", "Allison T. Silverman", "Madeline L. Parker", "Audrey S. Wang" ]
[ "HM" ]
[]
[]
InfoVis
2,018
Mitigating the Attraction Effect with Visualizations
10.1109/TVCG.2018.2865233
Human decisions are prone to biases, and this is no less true for decisions made within data visualizations. Bias mitigation strategies often focus on the person, by educating people about their biases, typically with little success. We focus instead on the system, presenting the first evidence that altering the design...
false
false
[ "Evanthia Dimara", "Gilles Bailly", "Anastasia Bezerianos", "Steven Franconeri" ]
[]
[]
[]
InfoVis
2,018
Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances
10.1109/TVCG.2018.2865235
Interactive wall-sized displays benefit data visualization. Due to their sheer display size, they make it possible to show large amounts of data in multiple coordinated views (MCV) and facilitate collaborative data analysis. In this work, we propose a set of important design considerations and contribute a fundamental ...
false
false
[ "Ricardo Langner", "Ulrike Kister", "Raimund Dachselt" ]
[]
[]
[]
InfoVis
2,018
Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs
10.1109/TVCG.2018.2865232
Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools are tailored for this purpose. In this study, we present Narvis, a slideshow authoring tool designed for introducing data visualizations to no...
false
false
[ "Qianwen Wang", "Zhen Li 0044", "Siwei Fu", "Weiwei Cui", "Huamin Qu" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1907.05609v1", "icon": "paper" } ]
InfoVis
2,018
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
10.1109/TVCG.2018.2865230
With the recent advances in deep learning, neural network models have obtained state-of-the-art performances for many linguistic tasks in natural language processing. However, this rapid progress also brings enormous challenges. The opaque nature of a neural network model leads to hard-to-debug-systems and difficult-to...
false
false
[ "Shusen Liu", "Zhimin Li", "Tao Li 0039", "Vivek Srikumar", "Valerio Pascucci", "Peer-Timo Bremer" ]
[]
[]
[]
InfoVis
2,018
Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots
10.1109/TVCG.2018.2864912
Appropriate choice of colors significantly aids viewers in understanding the structures in multiclass scatterplots and becomes more important with a growing number of data points and groups. An appropriate color mapping is also an important parameter for the creation of an aesthetically pleasing scatterplot. Currently,...
false
false
[ "Yunhai Wang", "Xin Chen", "Tong Ge", "Chen Bao", "Michael Sedlmair", "Chi-Wing Fu", "Oliver Deussen", "Baoquan Chen" ]
[]
[]
[]
InfoVis
2,018
Origin-Destination Flow Maps in Immersive Environments
10.1109/TVCG.2018.2865192
Immersive virtual- and augmented-reality headsets can overlay a flat image against any surface or hang virtual objects in the space around the user. The technology is rapidly improving and may, in the long term, replace traditional flat panel displays in many situations. When displays are no longer intrinsically flat, ...
false
false
[ "Yalong Yang 0001", "Tim Dwyer", "Bernhard Jenny", "Kim Marriott", "Maxime Cordeil", "Haohui Chen" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.02089v1", "icon": "paper" } ]
InfoVis
2,018
Patterns and Pace: Quantifying Diverse Exploration Behavior with Visualizations on the Web
10.1109/TVCG.2018.2865117
The diverse and vibrant ecosystem of interactive visualizations on the web presents an opportunity for researchers and practitioners to observe and analyze how everyday people interact with data visualizations. However, existing metrics of visualization interaction behavior used in research do not fully reveal the brea...
false
false
[ "Mi Feng", "Evan M. Peck", "Lane Harrison" ]
[]
[]
[]
InfoVis
2,018
Shape-preserving Star Coordinates
10.1109/TVCG.2018.2865118
Dimensionality reduction is commonly applied to multidimensional data to reduce the complexity of their analysis. In visual analysis systems, projections embed multidimensional data into 2D or 3D spaces for graphical representation. To facilitate a robust and accurate analysis, essential characteristics of the multidim...
false
false
[ "Vladimir Molchanov", "Lars Linsen" ]
[]
[]
[]
InfoVis
2,018
SmartCues: A Multitouch Query Approach for Details-on-Demand through Dynamically Computed Overlays
10.1109/TVCG.2018.2865231
Details-on-demand is a crucial feature in the visual information-seeking process but is often only implemented in highly constrained settings. The most common solution, hover queries (i.e., tooltips), are fast and expressive but are usually limited to single mark (e.g., a bar in a bar chart). `Queries' to retrieve deta...
false
false
[ "Hariharan Subramonyam", "Eytan Adar" ]
[]
[]
[]
InfoVis
2,018
SRVis: Towards Better Spatial Integration in Ranking Visualization
10.1109/TVCG.2018.2865126
Interactive ranking techniques have substantially promoted analysts' ability in making judicious and informed decisions effectively based on multiple criteria. However, the existing techniques cannot satisfactorily support the analysis tasks involved in ranking large-scale spatial alternatives, such as selecting optima...
false
false
[ "Di Weng", "Ran Chen", "Zikun Deng", "Feiran Wu", "Jingmin Chen", "Yingcai Wu" ]
[]
[]
[]
InfoVis
2,018
Structure-aware Fisheye Views for Efficient Large Graph Exploration
10.1109/TVCG.2018.2864911
Traditional fisheye views for exploring large graphs introduce substantial distortions that often lead to a decreased readability of paths and other interesting structures. To overcome these problems, we propose a framework for structure-aware fisheye views. Using edge orientations as constraints for graph layout optim...
false
false
[ "Yunhai Wang", "Yanyan Wang", "Haifeng Zhang", "Yinqi Sun", "Chi-Wing Fu", "Michael Sedlmair", "Baoquan Chen", "Oliver Deussen" ]
[]
[]
[]
InfoVis
2,018
Structure-Based Suggestive Exploration: A New Approach for Effective Exploration of Large Networks
10.1109/TVCG.2018.2865139
When analyzing a visualized network, users need to explore different sections of the network to gain insight. However, effective exploration of large networks is often a challenge. While various tools are available for users to explore the global and local features of a network, these tools usually require significant ...
false
false
[ "Wei Chen 0001", "Fangzhou Guo", "Dongming Han", "Jacheng Pan", "Xiaotao Nie", "Jiazhi Xia", "Xiaolong Zhang 0001" ]
[]
[]
[]
InfoVis
2,018
Temporal Treemaps: Static Visualization of Evolving Trees
10.1109/TVCG.2018.2865265
We consider temporally evolving trees with changing topology and data: tree nodes may persist for a time range, merge or split, and the associated data may change. Essentially, one can think of this as a time series of trees with a node correspondence per hierarchy level between consecutive time steps. Existing visuali...
false
false
[ "Wiebke Köpp", "Tino Weinkauf" ]
[]
[]
[]
InfoVis
2,018
Vistrates: A Component Model for Ubiquitous Analytics
10.1109/TVCG.2018.2865144
Visualization tools are often specialized for specific tasks, which turns the user's analytical workflow into a fragmented process performed across many tools. In this paper, we present a component model design for data visualization to promote modular designs of visualization tools that enhance their analytical scope....
false
false
[ "Sriram Karthik Badam", "Andreas Mathisen", "Roman Rädle", "Clemens Nylandsted Klokmose", "Niklas Elmqvist" ]
[]
[]
[]
InfoVis
2,018
Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation
10.1109/TVCG.2018.2865234
In the first crowdsourced visualization experiment conducted exclusively on mobile phones, we compare approaches to visualizing ranges over time on small displays. People routinely consume such data via a mobile phone, from temperatures in weather forecasting apps to sleep and blood pressure readings in personal health...
false
false
[ "Matthew Brehmer", "Bongshin Lee", "Petra Isenberg", "Eun Kyoung Choe" ]
[]
[]
[]
InfoVis
2,018
Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks
10.1109/TVCG.2018.2865193
A common approach to sampling the space of a prediction is the generation of an ensemble of potential outcomes, where the ensemble's distribution reveals the statistical structure of the prediction space. For example, the US National Hurricane Center generates multiple day predictions for a storm's path, size, and wind...
false
false
[ "Le Liu 0007", "Lace M. K. Padilla", "Sarah H. Creem-Regehr", "Donald H. House" ]
[]
[]
[]
InfoVis
2,018
What Do We Talk About When We Talk About Dashboards?
10.1109/TVCG.2018.2864903
Dashboards are one of the most common use cases for data visualization, and their design and contexts of use are considerably different from exploratory visualization tools. In this paper, we look at the broad scope of how dashboards are used in practice through an analysis of dashboard examples and documentation about...
false
false
[ "Alper Sarikaya", "Michael Correll", "Lyn Bartram", "Melanie Tory", "Danyel Fisher" ]
[]
[]
[]
InfoVis
2,018
Where's My Data? Evaluating Visualizations with Missing Data
10.1109/TVCG.2018.2864914
Many real-world datasets are incomplete due to factors such as data collection failures or misalignments between fused datasets. Visualizations of incomplete datasets should allow analysts to draw conclusions from their data while effectively reasoning about the quality of the data and resulting conclusions. We conduct...
false
false
[ "Hayeong Song", "Danielle Albers Szafir" ]
[]
[]
[]
EuroVis
2,018
A General Illumination Model for Molecular Visualization
10.1111/cgf.13426
Several visual representations have been developed over the years to visualize molecular structures, and to enable a better understanding of their underlying chemical processes. Today, the most frequently used atom‐based representations are the Space‐filling, the Solvent Excluded Surface, the Balls‐and‐Sticks, and the ...
false
false
[ "Pedro Hermosilla", "Pere-Pau Vázquez", "Àlvar Vinacua", "Timo Ropinski" ]
[]
[]
[]
EuroVis
2,018
A Survey of Flattening-Based Medical Visualization Techniques
10.1111/cgf.13445
In many areas of medicine, visualization research can help with task simplification, abstraction or complexity reduction. A common visualization approach is to facilitate parameterization techniques which flatten a usually 3D object into a 2D plane. Within this state of the art report (STAR), we review such techniques ...
false
false
[ "Julian Kreiser", "Monique Meuschke", "Gabriel Mistelbauer", "Bernhard Preim", "Timo Ropinski" ]
[]
[]
[]
EuroVis
2,018
An Approximate Parallel Vectors Operator for Multiple Vector Fields
10.1111/cgf.13422
The Parallel Vectors (PV) Operator extracts the locations of points where two vector fields are parallel. In general, these features are line structures. The PV operator has been used successfully for a variety of problems, which include finding vortex‐core lines or extremum lines. We present a new generic feature extr...
false
false
[ "Tim Gerrits", "Christian Rössl", "Holger Theisel" ]
[]
[]
[]
EuroVis
2,018
Analyzing Residue Surface Proximity to Interpret Molecular Dynamics
10.1111/cgf.13427
The surface of a molecule holds important information about the interaction behavior with other molecules. In dynamic folding or docking processes, residues of amino acids with different properties change their position within the molecule over time. The atoms of the residues that are accessible to the solvent can dire...
false
false
[ "Nils Lichtenberg", "Raphael Menges", "V. Ageev", "Ajay Abisheck Paul George", "P. Heimer", "Diana Imhof", "Kai Lawonn" ]
[]
[]
[]
EuroVis
2,018
Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings
10.1111/cgf.13409
In addition to the choice of visual encodings, the effectiveness of a data visualization may vary with the analytical task being performed and the distribution of data values. To better assess these effects and create refined rankings of visual encodings, we conduct an experiment measuring subject performance across ta...
false
false
[ "Younghoon Kim", "Jeffrey Heer" ]
[]
[]
[]
EuroVis
2,018
Baseball Timeline: Summarizing Baseball Plays Into a Static Visualization
10.1111/cgf.13436
In sports, Play Diagrams are the standard way to represent and convey information. They are widely used by coaches, managers, journalists and fans in general. There are situations where diagrams may be hard to understand, for example, when several actions are packed in a certain region of the field or there are just to...
false
false
[ "Jorge Piazentin Ono", "Carlos A. Dietrich", "Cláudio T. Silva" ]
[ "HM" ]
[]
[]
EuroVis
2,018
Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study
10.1111/cgf.13413
We present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treat...
false
false
[ "Renata G. Raidou", "Oscar Casares-Magaz", "Artem Amirkhanov", "Vitali Moiseenko", "Ludvig P. Muren", "John P. Einck", "Anna Vilanova", "M. Eduard Gröller" ]
[]
[]
[]
EuroVis
2,018
CFGExplorer: Designing a Visual Control Flow Analytics System around Basic Program Analysis Operations
10.1111/cgf.13433
To develop new compilation and optimization techniques, computer scientists frequently Consult program analysis artifacts such as Control flow graphs (CFGs) and traces of executed instructions. A CFG is a directed graph representing possible execution paths in a program. CFGs are commonly visualized as node‐link diagra...
false
false
[ "Sabin Devkota", "Katherine E. Isaacs" ]
[]
[]
[]
EuroVis
2,018
ChangeCatcher: Increasing Inter-author Awareness for Visualization Development
10.1111/cgf.13400
We introduce an approach for explicitly revealing changes between versions of a visualization workbook to support version comparison tasks. Visualization authors may need to understand version changes for a variety of reasons, analogous to document editing. An author who has been away for a while may need to catch up o...
false
false
[ "Mona Hosseinkhani Loorak", "Melanie Tory", "Sheelagh Carpendale" ]
[]
[]
[]
EuroVis
2,018
Chart Constellations: Effective Chart Summarization for Collaborative and Multi-User Analyses
10.1111/cgf.13402
Many data problems in the real world are complex and require multiple analysts working together to uncover embedded insights by creating chart‐driven data stories. How, as a subsequent analysis step, do we interpret and learn from these collections of charts? We present Chart Constellations, a system to interactively s...
false
false
[ "Shenyu Xu", "Chris Bryan", "Jianping Kelvin Li", "Jian Zhao 0010", "Kwan-Liu Ma" ]
[]
[]
[]
EuroVis
2,018
ConcaveCubes: Supporting Cluster-based Geographical Visualization in Large Data Scale
10.1111/cgf.13414
In this paper we study the problem of supporting effective and scalable visualization for the rapidly increasing volumes of urban data. From an extensive literature study, we find that the existing solutions suffer from at least one of the drawbacks below: (i) loss of interesting structures/outliers due to sampling; (i...
false
false
[ "Mingzhao Li 0001", "Farhana Murtaza Choudhury", "Zhifeng Bao", "Hanan Samet", "Timos Sellis" ]
[]
[]
[]
EuroVis
2,018
Core Lines in 3D Second-Order Tensor Fields
10.1111/cgf.13423
Vortices are important features in vector fields that show a swirling behavior around a common core. The concept of a vortex core line describes the center of this swirling behavior. In this work, we examine the extension of this concept to 3D second‐order tensor fields. Here, a behavior similar to vortices in vector f...
false
false
[ "Timo Oster", "Christian Rössl", "Holger Theisel" ]
[]
[]
[]
EuroVis
2,018
Cosine-Weighted B-Spline Interpolation on the Face-Centered Cubic Lattice
10.1111/cgf.13437
Cosine‐Weighted B‐spline (CWB) interpolation [Csé13] has been originally proposed for volumetric data sampled on the Body‐Centered Cubic (BCC) lattice. The BCC lattice is well known to be optimal for sampling isotropically band‐limited signals above the Nyquist limit. However, the Face‐Centered Cubic (FCC) lattice has ...
false
false
[ "Gergely Rácz", "Balázs Csébfalvi" ]
[]
[]
[]
EuroVis
2,018
Design Factors for Summary Visualization in Visual Analytics
10.1111/cgf.13408
Data summarization allows analysts to explore datasets that may be too complex or too large to visualize in detail. Designers face a number of design and implementation choices when using summarization in visual analytics systems. While these choices influence the utility of the resulting system, there are no clear gui...
false
false
[ "Alper Sarikaya", "Michael Gleicher", "Danielle Albers Szafir" ]
[]
[]
[]
EuroVis
2,018
DimSUM: Dimension and Scale Unifying Map for Visual Abstraction of DNA Origami Structures
10.1111/cgf.13429
We present a novel visualization concept for DNA origami structures that integrates a multitude of representations into a Dimension and Scale Unifying Map (DimSUM). This novel abstraction map provides means to analyze, smoothly transition between, and interact with many visual representations of the DNA origami structu...
false
false
[ "Haichao Miao", "Elisa De Llano", "Tobias Isenberg 0001", "M. Eduard Gröller", "Ivan Barisic", "Ivan Viola" ]
[]
[]
[]
EuroVis
2,018
Explorative Blood Flow Visualization using Dynamic Line Filtering based on Surface Features
10.1111/cgf.13411
Rupture risk assessment is a key to devise patient‐specific treatment plans of cerebral aneurysms. To understand and predict the development of aneurysms and other vascular diseases over time, both hemodynamic flow patterns and their effect on the vessel surface need to be analyzed. Flow structures close to the vessel ...
false
false
[ "Benjamin Behrendt", "Philipp Berg", "Oliver Beuing", "Bernhard Preim", "Sylvia Saalfeld" ]
[]
[]
[]
EuroVis
2,018
Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections
10.1111/cgf.13416
Two‐dimensional embeddings remain the dominant approach to visualize high dimensional data. The choice of embeddings ranges from highly non‐linear ones, which can capture complex relationships but are difficult to interpret quantitatively, to axis‐aligned projections, which are easy to interpret but are limited to biva...
false
false
[ "Jayaraman J. Thiagarajan", "Shusen Liu 0001", "Karthikeyan Natesan Ramamurthy", "Peer-Timo Bremer" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1712.07106v2", "icon": "paper" } ]
EuroVis
2,018
Exploring the Visualization Design Space with Repertory Grids
10.1111/cgf.13407
There is an ongoing discussion in the visualization community about the relevant factors that render a visualization effective, expressive, memorable, aesthetically pleasing, etc. These factors lead to a large design space for visualizations. To explore this design space, qualitative research methods based on observati...
false
false
[ "Kuno Kurzhals", "Daniel Weiskopf" ]
[ "HM" ]
[]
[]
EuroVis
2,018
Fast and Accurate CNN-based Brushing in Scatterplots
10.1111/cgf.13405
Brushing plays a central role in most modern visual analytics solutions and effective and efficient techniques for data selection are key to establishing a successful human‐computer dialogue. With this paper, we address the need for brushing techniques that are both fast, enabling a fluid interaction in visual data exp...
false
false
[ "Chaoran Fan", "Helwig Hauser" ]
[]
[]
[]
EuroVis
2,018
Hierarchical Correlation Clustering in Multiple 2D Scalar Fields
10.1111/cgf.13396
Sets of multiple scalar fields can be used to model many types of variation in data, such as uncertainty in measurements and simulations or time‐dependent behavior of scalar quantities. Many structural properties of such fields can be explained by dependencies between different points in the scalar field. Although thes...
false
false
[ "Tom Liebmann", "Gunther H. Weber", "Gerik Scheuermann" ]
[]
[]
[]
EuroVis
2,018
Hunting High and Low: Visualising Shifting Correlations in Financial Markets
10.1111/cgf.13435
The analysis of financial assets’ correlations is fundamental to many aspects of finance theory and practice, especially modern portfolio theory and the study of risk. In order to manage investment risk, in‐depth analysis of changing correlations is needed, with both high and low correlations between financial assets (...
false
false
[ "P. M. Simon", "Cagatay Turkay" ]
[]
[]
[]
EuroVis
2,018
Hypersliceplorer: Interactive visualization of shapes in multiple dimensions
10.1111/cgf.13415
In this paper we present Hypersliceplorer, an algorithm for generating 2D slices of multi‐dimensional shapes defined by a simplical mesh. Often, slices are generated by using a parametric form and then constraining parameters to view the slice. In our case, we developed an algorithm to slice a simplical mesh of any num...
false
false
[ "Thomas Torsney-Weir", "Torsten Möller", "Michael Sedlmair", "Robert M. Kirby" ]
[]
[]
[]
EuroVis
2,018
Illustrative Multivariate Visualization for Geological Modelling
10.1111/cgf.13434
In this paper, we present a novel illustrative multivariate visualization for geological modelling to assist geologists and reservoir engineers in visualizing multivariate datasets in superimposed representations, in contrast to the single‐attribute visualizations supported by commercial software. Our approach extends ...
false
false
[ "Allan Rocha", "Roberta C. Ramos Mota", "Hamidreza Hamdi", "Usman R. Alim", "Mario Costa Sousa" ]
[]
[]
[]
EuroVis
2,018
Information Visualization Evaluation Using Crowdsourcing
10.1111/cgf.13444
Visualization researchers have been increasingly leveraging crowdsourcing approaches to overcome a number of limitations of controlled laboratory experiments, including small participant sample sizes and narrow demographic backgrounds of study participants. However, as a community, we have little understanding on when,...
false
false
[ "Rita Borgo", "Luana Micallef", "Benjamin Bach", "Fintan McGee", "Bongshin Lee" ]
[]
[]
[]
EuroVis
2,018
Interactive Analysis of Word Vector Embeddings
10.1111/cgf.13417
Word vector embeddings are an emerging tool for natural language processing. They have proven beneficial for a wide variety of language processing tasks. Their utility stems from the ability to encode word relationships within the vector space. Applications range from components in natural language processing systems t...
false
false
[ "Florian Heimerl", "Michael Gleicher" ]
[]
[]
[]
EuroVis
2,018
Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope
10.1111/cgf.13442
Parallel simulation codes often suffer from performance bottlenecks due to network congestion, leaving millions of dollars of investments underutilized. Given a network topology, it is critical to understand how different applications, job placements, routing schemes, etc., are affected by and contribute to network con...
false
false
[ "Harsh Bhatia", "Nikhil Jain", "Abhinav Bhatele", "Yarden Livnat", "Jens Domke", "Valerio Pascucci", "Peer-Timo Bremer" ]
[]
[]
[]
EuroVis
2,018
Interactive Visual Exploration of Local Patterns in Large Scatterplot Spaces
10.1111/cgf.13404
Analysts often use visualisation techniques like a scatterplot matrix (SPLOM) to explore multivariate datasets. The scatterplots of a SPLOM can help to identify and compare two‐dimensional global patterns. However, local patterns which might only exist within subsets of records are typically much harder to identify and...
false
false
[ "Mohammad Chegini", "Lin Shao 0001", "Robert Gregor", "Dirk J. Lehmann", "Keith Andrews", "Tobias Schreck" ]
[]
[]
[]
EuroVis
2,018
Key Time Steps Selection for Large-Scale Time-Varying Volume Datasets Using an Information-Theoretic Storyboard
10.1111/cgf.13399
Key time steps selection is essential for effective and efficient scientific visualization of large‐scale time‐varying datasets. We present a novel approach that can decide the number of most representative time steps while selecting them to minimize the difference in the amount of information from the original data. W...
false
false
[ "Bo Zhou", "Yi-Jen Chiang" ]
[]
[]
[]
EuroVis
2,018
Landscaper: A Modeling System for 3D Printing Scale Models of Landscapes
10.1111/cgf.13432
Landscape models of geospatial regions provide an intuitive mechanism for exploring complex geospatial information. However, the methods currently used to create these scale models require a large amount of resources, which restricts the availability of these models to a limited number of popular public places, such as...
false
false
[ "K. Allahverdi", "Hessam Djavaherpour", "Ali Mahdavi-Amiri", "Faramarz F. Samavati" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "https://osf.io/35evz", "icon": "paper" } ]
EuroVis
2,018
Maps and Globes in Virtual Reality
10.1111/cgf.13431
This paper explores different ways to render world‐wide geographic maps in virtual reality (VR). We compare: (a) a 3D exocentric globe, where the user's viewpoint is outside the globe; (b) a flat map (rendered to a plane in VR); (c) an egocentric 3D globe, with the viewpoint inside the globe; and (d) a curved map, crea...
false
false
[ "Yalong Yang 0001", "Bernhard Jenny", "Tim Dwyer", "Kim Marriott", "Haohui Chen", "Maxime Cordeil" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1908.02088v1", "icon": "paper" } ]
EuroVis
2,018
Multiscale Visualization and Exploration of Large Bipartite Graphs
10.1111/cgf.13441
A bipartite graph is a powerful abstraction for modeling relationships between two collections. Visualizations of bipartite graphs allow users to understand the mutual relationships between the elements in the two collections, e.g., by identifying clusters of similarly connected elements. However, commonly‐used visual ...
false
false
[ "Nicola Pezzotti", "Jean-Daniel Fekete", "Thomas Höllt", "Boudewijn P. F. Lelieveldt", "Elmar Eisemann", "Anna Vilanova" ]
[]
[]
[]
EuroVis
2,018
PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision
10.1111/cgf.13418
Embedding and visualizing large‐scale high‐dimensional data in a two‐dimensional space is an important problem, because such visualization can reveal deep insights of complex data. However, most of the existing embedding approaches run on an excessively high precision, even when users want to obtain a brief insight fro...
false
false
[ "Minjeong Kim", "Minsuk Choi", "Sunwoong Lee", "Jian Tang 0005", "Haesun Park", "Jaegul Choo" ]
[]
[]
[]
EuroVis
2,018
Quality Metrics for Information Visualization
10.1111/cgf.13446
The visualization community has developed to date many intuitions and understandings of how to judge the quality of views in visualizing data. The computation of a visualization's quality and usefulness ranges from measuring clutter and overlap, up to the existence and perception of specific (visual) patterns. This sur...
false
false
[ "Michael Behrisch 0001", "Michael Blumenschein", "Nam Wook Kim", "Lin Shao 0001", "Mennatallah El-Assady", "Johannes Fuchs 0001", "Daniel Seebacher", "Alexandra Diehl", "Ulrik Brandes", "Hanspeter Pfister", "Tobias Schreck", "Daniel Weiskopf", "Daniel A. Keim" ]
[]
[]
[]
EuroVis
2,018
Rendering and Extracting Extremal Features in 3D Fields
10.1111/cgf.13439
Visualizing and extracting three‐dimensional features is important for many computational science applications, each with their own feature definitions and data types. While some are simple to state and implement (e.g. isosurfaces), others require more complicated mathematics (e.g. multiple derivatives, curvature, eige...
false
false
[ "Gordon L. Kindlmann", "Charisee Chiw", "T. Huynh", "Attila Gyulassy", "John H. Reppy", "Peer-Timo Bremer" ]
[ "BP" ]
[]
[]
EuroVis
2,018
Representative Consensus from Limited-Size Ensembles
10.1111/cgf.13397
Characterizing the uncertainty and extracting reliable visual information from ensemble data have been persistent challenges in various disciplines, specifically in simulation sciences. Many ensemble analysis and visualization techniques take a probabilistic approach to this problem with the assumption that the ensembl...
false
false
[ "Mahsa Mirzargar", "Ross T. Whitaker" ]
[]
[]
[]
EuroVis
2,018
SetCoLa: High-Level Constraints for Graph Layout
10.1111/cgf.13440
Constraints enable flexible graph layout by combining the ease of automatic layout with customizations for a particular domain. However, constraint‐based layout often requires many individual constraints defined over specific nodes and node pairs. In addition to the effort of writing and maintaining a large number of s...
false
false
[ "Jane Hoffswell", "Alan Borning", "Jeffrey Heer" ]
[]
[]
[]
EuroVis
2,018
Spatio-Temporal Contours from Deep Volume Raycasting
10.1111/cgf.13438
We visualize contours for spatio‐temporal processes to indicate where and when non‐continuous changes occur or spatial bounds are encountered. All time steps are comprised densely in one visualization, with contours allowing to efficiently analyze processes in the data even in case of spatial or temporal overlap. Conto...
false
false
[ "Steffen Frey" ]
[]
[]
[]
EuroVis
2,018
State of the Art of Sports Data Visualization
10.1111/cgf.13447
In this report, we organize and reflect on recent advances and challenges in the field of sports data visualization. The exponentially‐growing body of visualization research based on sports data is a prime indication of the importance and timeliness of this report. Sports data visualization research encompasses the bre...
false
false
[ "Charles Perin", "Romain Vuillemot", "Charles D. Stolper", "John T. Stasko", "Jo Wood", "Sheelagh Carpendale" ]
[]
[]
[]
EuroVis
2,018
The Perception of Graph Properties in Graph Layouts
10.1111/cgf.13410
When looking at drawings of graphs, questions about graph density, community structures, local clustering and other graph properties may be of critical importance for analysis. While graph layout algorithms have focused on minimizing edge crossing, symmetry, and other such layout properties, there is not much known abo...
false
false
[ "Utkarsh Soni", "Yafeng Lu", "Brett Hansen", "Helen C. Purchase", "Stephen G. Kobourov", "Ross Maciejewski" ]
[]
[]
[]
EuroVis
2,018
ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics
10.1111/cgf.13425
We present ThreadReconstructor, a visual analytics approach for detecting and analyzing the implicit conversational structure of discussions, e.g., in political debates and forums. Our work is motivated by the need to reveal and understand single threads in massive online conversations and verbatim text transcripts. We...
false
false
[ "Mennatallah El-Assady", "Rita Sevastjanova", "Daniel A. Keim", "Christopher Collins 0001" ]
[]
[]
[]
EuroVis
2,018
Time Lattice: A Data Structure for the Interactive Visual Analysis of Large Time Series
10.1111/cgf.13398
Advances in technology coupled with the availability of low‐cost sensors have resulted in the continuous generation of large time series from several sources. In order to visually explore and compare these time series at different scales, analysts need to execute online analytical processing (OLAP) queries that include...
false
false
[ "Fabio Miranda 0001", "Marcos Lage", "Harish Doraiswamy", "Charlie Mydlarz", "Justin Salamon", "Yitzchak Lockerman", "Juliana Freire", "Cláudio T. Silva" ]
[]
[]
[]
EuroVis
2,018
Towards Easy Comparison of Local Businesses Using Online Reviews
10.1111/cgf.13401
With the rapid development of e‐commerce, there is an increasing number of online review websites, such as Yelp, to help customers make better purchase decisions. Viewing online reviews, including the rating score and text comments by other customers, and conducting a comparison between different businesses are the key...
false
false
[ "Yong Wang 0021", "Hammad Haleem", "Conglei Shi", "Yanhong Wu", "Xun Zhao", "Siwei Fu", "Huamin Qu" ]
[]
[]
[]
EuroVis
2,018
Towards User-Centered Active Learning Algorithms
10.1111/cgf.13406
The labeling of data sets is a time‐consuming task, which is, however, an important prerequisite for machine learning and visual analytics. Visual‐interactive labeling (VIAL) provides users an active role in the process of labeling, with the goal to combine the potentials of humans and machines to make labeling more ef...
false
false
[ "Jürgen Bernard", "Matthias Zeppelzauer", "Markus Lehmann", "Martin Müller", "Michael Sedlmair" ]
[]
[]
[]
EuroVis
2,018
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions
10.1111/cgf.13424
With the rapid commoditization of wearable sensors, detecting human movements from sensor datasets has become increasingly common over a wide range of applications. To detect activities, data scientists iteratively experiment with different classifiers before deciding which model to deploy. Effective reasoning about an...
false
false
[ "Marco Cavallo", "Çagatay Demiralp" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1710.01832v2", "icon": "paper" } ]
EuroVis
2,018
VirtualDesk: A Comfortable and Efficient Immersive Information Visualization Approach
10.1111/cgf.13430
3D representations are potentially useful under many circumstances, but suffer from long known perception and interaction challenges. Current immersive technologies, which combine stereoscopic displays and natural interaction, are being progressively seen as an opportunity to tackle this issue, but new guidelines and s...
false
false
[ "Jorge A. Wagner Filho", "Carla Maria Dal Sasso Freitas", "Luciana P. Nedel" ]
[]
[]
[]
EuroVis
2,018
Visual Analysis of protein-ligand interactions
10.1111/cgf.13428
The analysis of protein‐ligand interactions is complex because of the many factors at play. Most current methods for visual analysis provide this information in the form of simple 2D plots, which, besides being quite space hungry, often encode a low number of different properties. In this paper we present a system for ...
false
false
[ "Pere-Pau Vázquez", "Pedro Hermosilla", "Victor Guallar", "Jorge Estrada", "Àlvar Vinacua" ]
[]
[]
[]
EuroVis
2,018
Visual and quantitative analysis of great arteries' blood flow jets in cardiac 4D PC-MRI data
10.1111/cgf.13412
Flow in the great arteries (aorta, pulmonary artery) is normally laminar with a parabolic velocity profile. Eccentric flow jets are linked to various diseases like aneurysms. Cardiac 4D PC‐MRI data provide spatio‐temporally resolved blood flow information for the whole cardiac cycle. In this work, we establish a time‐d...
false
false
[ "Benjamin Köhler 0001", "Matthias Grothoff", "Matthias Gutberlet", "Bernhard Preim" ]
[]
[]
[]
EuroVis
2,018
Visualization of 4D Vector Field Topology
10.1111/cgf.13421
In this paper, we present an approach to the topological analysis of four‐dimensional vector fields. In analogy to traditional 2D and 3D vector field topology, we provide a classification and visual representation of critical points, together with a technique for extracting their invariant manifolds. For effective expl...
false
false
[ "Lutz Hofmann", "Bastian Rieck", "Filip Sadlo" ]
[]
[]
[]
EuroVis
2,018
Visualizing Expanded Query Results
10.1111/cgf.13403
When performing queries in web search engines, users often face difficulties choosing appropriate query terms. Search engines therefore usually suggest a list of expanded versions of the user query to disambiguate it or to resolve potential term mismatches. However, it has been shown that users find it difficult to cho...
false
false
[ "Michael Mazurek", "Manuela Waldner" ]
[]
[]
[]
EuroVis
2,018
Visualizing Multidimensional Data with Order Statistics
10.1111/cgf.13419
Multidimensional data sets are common in many domains, and dimensionality reduction methods that determine a lower dimensional embedding are widely used for visualizing such data sets. This paper presents a novel method to project data onto a lower dimensional space by taking into account the order statistics of the in...
false
false
[ "Mukund Raj", "Ross T. Whitaker" ]
[]
[]
[]
EuroVis
2,018
Visualizing the Phase Space of Heterogeneous Inertial Particles in 2D Flows
10.1111/cgf.13420
In many scientific disciplines, the motion of finite‐sized objects in fluid flows plays an important role, such as in brownout engineering, sediment transport, oceanology or meteorology. These finite‐sized objects are called inertial particles and, in contrast to traditional tracer particles, their motion depends on th...
false
false
[ "Irene Baeza Rojo", "Markus H. Gross", "Tobias Günther" ]
[]
[]
[]
CHI
2,018
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
10.1145/3173574.3174209
Dimensionality reduction is a common method for analyzing and visualizing high-dimensional data. However, reasoning dynamically about the results of a dimensionality reduction is difficult. Dimensionality-reduction algorithms use complex optimizations to reduce the number of dimensions of a dataset, but these new dimen...
false
false
[ "Marco Cavallo", "Çagatay Demiralp" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1811.12199v1", "icon": "paper" } ]
CHI
2,018
An Eye For Design: Gaze Visualizations for Remote Collaborative Work
10.1145/3173574.3173923
In remote collaboration, gaze visualizations are designed to display where collaborators are looking in a shared visual space. This type of gaze-based intervention can improve coordination, however researchers have yet to fully explore different gaze visualization techniques and develop a deeper understanding of the wa...
false
false
[ "Sarah D'Angelo", "Darren Gergle" ]
[]
[]
[]
CHI
2,018
Animated Edge Textures in Node-Link Diagrams: a Design Space and Initial Evaluation
10.1145/3173574.3173761
Network edge data attributes are usually encoded using color, opacity, stroke thickness and stroke pattern, or some combination thereof. In addition to these static variables, it is also possible to animate dynamic particles flowing along the edges. This opens a larger design space of animated edge textures, featuring ...
false
false
[ "Hugo Romat", "Caroline Appert", "Benjamin Bach", "Nathalie Henry Riche", "Emmanuel Pietriga" ]
[]
[]
[]
CHI
2,018
Augmenting Code with In Situ Visualizations to Aid Program Understanding
10.1145/3173574.3174106
Programmers must draw explicit connections between their code and runtime state to properly assess the correctness of their programs. However, debugging tools often decouple the program state from the source code and require explicitly invoked views to bridge the rift between program editing and program understanding. ...
false
false
[ "Jane Hoffswell", "Arvind Satyanarayan", "Jeffrey Heer" ]
[]
[]
[]
CHI
2,018
Beagle: Automated Extraction and Interpretation of Visualizations from the Web
10.1145/3173574.3174168
"How common is interactive visualization on the web?" "What is the most popular visualization design?" "How prevalent are pie charts really?" These questions intimate the role of interactive visualization in the real (online) world. In this paper, we present our approach (and findings) to answering these questions. Fir...
false
false
[ "Leilani Battle", "Peitong Duan", "Zachery Miranda", "Dana Mukusheva", "Remco Chang", "Michael Stonebraker" ]
[]
[ "P" ]
[ { "name": "Paper Preprint", "url": "http://arxiv.org/pdf/1711.05962v1", "icon": "paper" } ]
CHI
2,018
c.light: A Tool for Exploring Light Properties in Early Design Stage
10.1145/3173574.3174176
Although a light becomes an important design element, there are little techniques available to explore shapes and light effects in early design stages. We present c.light, a design tool that consists of a set of modules and a mobile application for visualizing the light in a physical world. It allows designers to easil...
false
false
[ "Kyeong-Ah Jeong", "EunJin Kim", "Taesu Kim", "Hyeon-Jeong Suk" ]
[]
[]
[]
CHI
2,018
Clusters, Trends, and Outliers: How Immersive Technologies Can Facilitate the Collaborative Analysis of Multidimensional Data
10.1145/3173574.3173664
Immersive technologies such as augmented reality devices are opening up a new design space for the visual analysis of data. This paper studies the potential of an augmented reality environment for the purpose of collaborative analysis of multidimensional, abstract data. We present ART, a collaborative analysis tool to ...
false
false
[ "Simon Butscher", "Sebastian Hubenschmid", "Jens Müller 0001", "Johannes Fuchs 0001", "Harald Reiterer" ]
[]
[]
[]
CHI
2,018
Considering Agency and Data Granularity in the Design of Visualization Tools
10.1145/3173574.3174212
Previous research has identified trade-offs when it comes to designing visualization tools. While constructive "bottom-up' tools promote a hands-on, user-driven design process that enables a deep understanding and control of the visual mapping, automated tools are more efficient and allow people to rapidly explore comp...
false
false
[ "Gonzalo Gabriel Méndez", "Miguel A. Nacenta", "Uta Hinrichs" ]
[]
[]
[]
CHI
2,018
CraftML: 3D Modeling is Web Programming
10.1145/3173574.3174101
We explore web programming as a new paradigm for programmatic 3D modeling. Most existing approaches subscribe to the imperative programming paradigm. While useful, there exists a gulf of evaluation between procedural steps and the intended structure. We present CraftML, a language providing a declarative syntax where t...
false
false
[ "Tom Yeh", "Jeeeun Kim" ]
[]
[]
[]