EuroVisShort2017

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2631438

Browse

Now showing 1 - 20 of 31

EuroVis 2017 - Short Papers: Frontmatter
(Eurographics Association, 2017) Kozlikova, Barbora; Schreck, Tobias; Wischgoll, Thomas;
Hybrid-Treemap Layouting
(The Eurographics Association, 2017) Hahn, Sebastian; Döllner, Jürgen; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
This paper presents an approach for hybrid treemaps, which applies and combines several different layout principles within a single tree map in contrast to traditional treemap variants based on a single layout concept. To this end, we analyze shortcomings of state-of-the-art treemap algorithms such as Moore, Voronoi and Strip layouts. Based on a number of identified edge cases, we propose a combination of these different layout algorithms, individually selected for and applied on each sub hierarchy of the given treemap data. The selection decision is based on the number of items to be layouted as well as the aspect ratio of the containing visual elements. Futhermore, a layout quality score based on existing treemap layout metrics (e.g., average distance change, relative direction change, average aspect ratio) has been used to evaluate the results of the proposed hybrid layout algorithm and to demonstrate its usefulness applied on representative hierarchical data sets.
Visual Access to Performance Indicators in the Mining Sector
(The Eurographics Association, 2017) Ruppert, Tobias; Bannach, Andreas; Bernard, Jürgen; Lokanc, Martin; Kohlhammer, Jörn; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
We introduce a visualization system that provides visual interactive access to information relevant for decision making in the mining sector. The mining sector is one of the most important industries in developing countries, especially in Africa. Stakeholders like governments, investors, and the civil society play an important role in the growth of the mining sector. They are interested in information reviewing individual country performances towards mining. The Mining Investment and Governance Review (MInGov) dataset explicitly addresses this issue. However, the complex data structure introduces challenges for the intuitive and easy understanding of the information. Together with mining sector experts, we conducted a design study with the goal to provide visual interactive access to investment- and policy-related information. We report on a domain characterization of the MInGov dataset, its potential users, and their tasks. Based on this analysis, we design a visualization system that supports mining-related decision making. Finally, we evaluate the visualization system in a user workshop with domain experts.
Spatiotemporal Visualization of Gene Expression in the Developing Mouse Brain
(The Eurographics Association, 2017) Li, Qihang; Huang, Kun; Machiraju, Raghu; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Exploring and visualizing the spatiotemporal fold change of gene expression is an increasingly important challenge especially in structures as the developing brain. Focusing on the Allen Developing Mouse Brain data, we propose a visual analytic method to facilitate such exploration. We first use 3D brain atlases and developmental ontology to capture the spatial orientations of entire structures, and next use the fold changes of gene expression to weight them to denote the spatial fold changes between any given stages. We then determine the overall aggregate spatial fold change for a given gene across the entire set of stages and visualize them using 3D renderings and PCA to glean the likely directionality and gradients of gene expression. We examine the performance of the proposed method by investigating several patterns and find that they reflect the expression data. This short paper describes a portion of the larger visual analytic framework we are constructing to visualize spatiotemporal changes of gene expression in a developing brain.
TypoTweet Maps: Characterizing Urban Areas through Typographic Social Media Visualization
(The Eurographics Association, 2017) Godwin, Alex; Wang, Yongxin; Stasko, John T.; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Analyzing the important events and news stories that have captured the public interest in a city can be useful for determining the topics that are vital to the people that live there. Social media data, such as tweets, provides a useful and ever-churning feed of data to analyze for this purpose. For even a moderately-sized city, however, individual neighborhoods can have very different characteristics from one another. Geotagged tweets can be a rich data source for determining what people are saying online about the location they are in. Relating the text data to spatial location, however, presents a unique challenge in representation and layout. In this paper, we introduce TypoTweet Maps: a technique for constructing representations of neighborhood topics as typographic maps. TypoTweet Maps show differences in neighborhood topics using only text, avoiding the channel interference of feature labels that are unnecessary for residents who are familiar with the shape of the city. We describe the process of mapping geotagged tweets to the shape of neighborhoods and streets, and present a case study applying the technique to the city of Atlanta.
Scale-Adaptive Placement of Hierarchical Map Labels
(The Eurographics Association, 2017) Wu, Hsiang-Yun; Takahashi, Shigeo; Poon, Sheung-Hung; Arikawa, Masatoshi; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Nowadays, digital map services provide a large amount of spatial data and thus facilitate users to dynamically navigate map contents across multiple scales on small mobile devices. In this context, consistently placing map labels in interactive navigation is important but still technically challenging, especially when the labels are associated with multiple layers, which are inherent in map contents. In this paper, we introduce a genetic-based approach to optimize the placement of annotation labels with different ranges of map scales by maximizing label visibility of the existing scale while avoiding unwanted mutual overlaps and sudden popping effects. This is accomplished by grouping the label IDs into multiple chromosomes according to their importance and then forming composite chromosomes, each of which is reordered to optimize the overall visibility of the labels. Our formulation also allows the individual labels to move across the scale adaptively in order to further improve label placement on the respective scales. We show several experimental results to present the effectiveness of the proposed approach.
The Situation Universe: Visualizing the Semantics of Integrated Data Structures
(The Eurographics Association, 2017) Karer, Benjamin; Fernández-Prieto, Diana; Hagen, Hans; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
The efficient extraction and communication of information in heterogeneous data domains is a major challenge in the context of the ongoing digitalization efforts in industry and in the public sector. The heterogeneity of the data itself and the diverse interests of the users addressing it demand the integration of structural and semantic information about data aggregated from multiple sources into a single model and unified visualization. In this paper, we present an approach to visualize the possible interpretations of data integrated from heterogeneous environments, including the sequences of operations applied to filter, transform, and reinterpret the data, such that the result supports these interpretations. Users can thereby access and explore integrated data from the perspective specific to their respective fields of experience.
Dynamic Label Placement for Forensic Case Visualization
(The Eurographics Association, 2017) Sirk, Christof; Kalkofen, Denis; Schmalstieg, Dieter; Bornik, Alexander; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Forensic case analysis and in court presentation requires comprehensible illustrations and animations of findings and their relations to the course of events. Often this can only be achieved by adding textual descriptions. From a systems point of view, this requires automated label placement functionality for scenes composed of translucent polyhedral models and volumes, which we achieve through tight integration of the automated label placement algorithm and the hybrid volume/surface rendering system. Our method exploits transparency in order to place labels close to their anchors, either inside the scene, on-top or outside the occupied screen region. Inside placement makes it possible to zoom into the dataset, leads to more temporal coherency, and improves layout quality, especially for large numbers of labels. New measures for scene content importance and label occlusion prevent masking of important scene details by labels and vice versa.
Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine
(The Eurographics Association, 2017) Gillmann, Christina; Arbeláez, Pablo; Hernández, José Tiberio; Hagen, Hans; Wischgoll, Thomas; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Medical image data can be affected by several image errors. These errors can lead to uncertain or wrong diagnosis in clinical daily routine. A large variety of image error metrics are available that target different aspects of image quality forming a highdimensional error space, which cannot be reviewed trivially. To solve this problem, this paper presents a novel error space exploration technique that is suitable for clinical daily routine. Therefore, the clinical workflow for reviewing medical data is extended by error space cluster information, that can be explored by user-defined selections. The presented tool was applied to two real-world datasets to show its effectiveness.
Interactive Level-of-Detail Visualization of 3D-Polarized Light Imaging Data Using Spherical Harmonics
(The Eurographics Association, 2017) Hänel, Claudia; Demiralp, Ali C.; Axer, Markus; Grässel, David; Hentschel, Bernd; Kuhlen, Torsten W.; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
3D-Polarized Light Imaging (3D-PLI) provides data that enables an exploration of brain fibers at very high resolution. However, the visualization poses several challenges. Beside the huge data set sizes, users have to visually perceive the pure amount of information which might be, among other aspects, inhibited for inner structures because of occlusion by outer layers of the brain. We propose a clustering of fiber directions by means of spherical harmonics using a level-of-detail structure by which the user can interactively choose a clustering degree according to the zoom level or details required. Furthermore, the clustering method can be used for the automatic grouping of similar spherical harmonics automatically into one representative. An optional overlay with a direct vector visualization of the 3D-PLI data provides a better anatomical context.
Scoped: Visualising the Scope Chain Within Source Code
(The Eurographics Association, 2017) Bacher, Ivan; Namee, Brian Mac; Kelleher, John D.; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
This paper presents an interactive visualisation tool that encodes the scope chain, and information related to the scope chain, within source code. The main goal of the tool is to support programmers when dealing with issues related to scope and to provide answers to questions such as to which scope does a specific variable or function belong to and can I access a specific variable from the scope I am currently located in. The design guidelines followed during the implementation of the tool, as well as the design rationale behind the main features of the tool are described. Finally, the results of a pilot user experience evaluation study are presented where an interesting observation was that the tool seemed to support programmers in verifying and correcting their assumptions when asked questions about specific scoping issues within a source code document.
Time-Ray Maps: Visualization of Spatial and Temporal Evolution of News Stories
(The Eurographics Association, 2017) Sheidin, Julia; Lanir, Joel; Bak, Peter; Kuflik, Tsvi; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Time-Ray maps (see Figure 1) are designed to represent the temporal and spatial evolution of the reporting of a single news story. The visualization presents a compact representation that tells the story of the story in one glance. We show how our visualization can provide an imprint for different types of stories, enabling both comparison to other stories and means for analysis of the influence and evolution of a story. We demonstrate our technique on data coming from an online news aggregator platform. While specifically designed for news events, the method is also applicable for various types of time-series data that include intervening evolving events.
In Situ and Post Processing Workflows for Asteroid Ablation Studies
(The Eurographics Association, 2017) Patchett, John M.; Nouanesengsy, Boonthanome; Gisler, Galen; Ahrens, James; Hagen, Hans; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Simulation scientists need to make decisions about what and how much output to produce. They must balance their ability to efficiently ingest the analysis with their ability to get more analysis. We study this balance as a tradeoff between flexibility of saved data products and accessibility of saved data products. One end of the spectrum is raw data that comes directly from the simulation, making it highly flexible, but inaccessible due to its size and format. The other end of the spectrum is highly processed and comparatively small data, often in the form of imagery or single scalar values. This data is typically highly accessible, needing no special equipment or software, but lacks flexibility for deeper analysis than what is presented. We lay out a user driven model that considers the scientists' output needs in regards to flexibility and accessibility. This model allows us to analyze a real-world example of a large simulation lasting months of wall clock time on thousands of processing cores. Though the ensemble of simulation's original intent was to study asteroid generated tsunamis, the simulations are now being used beyond that scope to study the asteroid ablation as it moves through the atmosphere. With increasingly large supercomputers, designing workflows that support an intentional and understood balance of flexibility and accessibility is necessary. In this paper, we present a new strategy developed from a user driven perspective to support the collaborative capability between simulation developers, designers, users and analysts to effectively support science by wisely using both computer and human time.
Additional On-Demand Dimension for Data Visualization
(The Eurographics Association, 2017) Hube, Natalie; Müller, Mathias; Groh, Rainer; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
In this paper, we present a concept to interactively extend an 2d visualization by an additional on-demand dimension. We use categorical data in a multidimensional information space applied in a travel search scenario. Parallel sets are used as the basis for the visualization concept, since this is particularly suitable for the visualization of categorical data. The on-demand dimension expands the vertical axis of a parallel coordinate graph into depth axis and is intended to increase comparability of path variables with respect to the number of elements belonging to the respective parameter axis instead of direct comparability of individual paths and keep relations between the parallel sets. The presented implementation suits as foundation for further studies about the usefulness of a dynamic, on demand extension a of 2d visualizations into spatial visualizations. Furthermore, we present some additional approaches about the usage of the increased visualization space.
Natural Language Interfaces for Data Analysis with Visualization: Considering What Has and Could Be Asked
(The Eurographics Association, 2017) Srinivasan, Arjun; Stasko, John T.; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Natural language is emerging as a promising interaction paradigm for data analysis with visualization. Designing and implementing Natural Language Interfaces (NLIs) is a challenging task, however. In addition to being able to process and understand natural language expressions, NLIs for data visuailzation must consider other factors including input modalities, providing input affordances, and explaining system results, among others. In this article, we examine existing NLIs for data analysis with visualization, and compare and contrast them based on the tasks they allow people to perform. We discuss open research opportunities and themes for emerging NLIs in the visualization community. We also provide examples from the existing literature in the broader HCI community that may help explore some of the highlighted themes for future work. Our goal is to assist readers to understand the subtleties and challenges in designing NLIs and encourage the community to think further about NLIs for data analysis with visualization.
Trajectory Mapper: Interactive Widgets and Artist-Designed Encodings for Visualizing Multivariate Trajectory Data
(The Eurographics Association, 2017) Lange, Devin; Samsel, Francesca; Karamouzas, Ioannis; Guy, S. J.; Dockter, Rodney; Kowalewski, Timothy; Keefe, Daniel F.; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
We present TrajectoryMapper, a system of novel interactive widgets and artist-designed visual encodings to support exploratory multivariate visualization of spatial trajectories. Trajectories are rendered using a three-way multi-texturing algorithm so that the color, texture, and shape of each mark can be manipulated separately in response to data. Visual encodings designed by artists and arranged in categories (e.g., divergent, linear, structured) are utilized as strong starting points for visual exploration. Interactive widgets including linked parallel coordinates plots, 3D camera controls, and projection to arbitrary 3D planes facilitate data exploration. An innovative visual mapper menu enables rapid experimentation with alternative data mappings using the artist-designed or custom encodings that can be created with no programming using image editing software. In addition to system design details and insights, two applications with collaborating domain science users are presented. The first requires analyzing 2D crowd simulations and the second 3D tool traces from laparoscopic surgery training exercises.
ETK: An Evaluation Toolkit for Visualization User Studies
(The Eurographics Association, 2017) Turton, Terece L.; Berres, Anne S.; Rogers, David H.; Ahrens, James; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
This paper describes the design and features of the Evaluation Toolkit (ETK), a set of JavaScript/HTML/CSS modules leveraging the Qualtrics JavaScript API that can be used to automate image-based perceptual user evaluation studies. Automating the presentation of the images can greatly decrease the time to build and implement an evaluation study while minimizing the length and complexity of a study built within Qualtrics, along with decreasing the possibility of error in image presentation. The ETK modules each focus on automating a specific psychophysical or experimental approach. Because each module is an extension or plug-in to a Qualtrics question, the resultant study can be easily used in a laboratory setting or in a crowdsourced approach. We present the open source repository of ETK with the six modules that currently make up the toolkit and invite the community to explore, utilize, and contribute to the toolkit.
MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks
(The Eurographics Association, 2017) Martins, Rafael M.; Kruiger, J. F.; Minghim, Rosane; Telea, Alexandru C.; Kerren, Andreas; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
The analysis of Multivariate Networks (MVNs) can be approached from two different perspectives: a multidimensional one, consisting of the nodes and their multiple attributes, or a relational one, consisting of the network's topology of edges. In order to be comprehensive, a visual representation of an MVN must be able to accommodate both. In this paper, we propose a novel approach for the visualization of MVNs that works by combining these two perspectives into a single unified model, which is used as input to a dimensionality reduction method. The resulting 2D embedding takes into consideration both attribute- and edge-based similarities, with a user-controlled trade-off. We demonstrate our approach by exploring two real-world data sets: a co-authorship network and an open-source software development project. The results point out that our method is able to bring forward features of MVNs that could not be easily perceived from the investigation of the individual perspectives only.
Reflections on an Experiment, Evaluating the Impact of Spatialisation on Exploration
(The Eurographics Association, 2017) Roux, Clement; McAuley, John; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
This paper reports on an experiment designed to evaluate whether visualising a digital library (using a spatialisation technique) can influence exploratory search behaviour. In the experiment we asked participants to complete a set of novel tasks using one of two interfaces - a visualisation interface, ExploViz, and its search-based equivalent, LibSearch. A set of measures were used to capture sensemaking and exploratory behaviour and to analyse cognitive load. As results were non-significant, we reflect upon the design of the experiment, consider possible issues and suggest how these could be addressed in future iterations.
PubViz: Lightweight Visual Presentation of Publication Data
(The Eurographics Association, 2017) Rind, Alexander; Haberson, Andrea; Blumenstein, Kerstin; Niederer, Christina; Wagner, Markus; Aigner, Wolfgang; Barbora Kozlikova and Tobias Schreck and Thomas Wischgoll
Publications play a central role in presenting the outcome of scientific research but are typically presented as textual lists, whereas related work in visualization of publication focuses on exploration - not presentation. To bridge this gap, we conducted a design study of an interactive visual representation of publication data in a BibTeX file. This paper reports our domain and problem characterization as well as our visualization design decisions in light of our user-centered design process including interviews, two user studies with a paper prototype and a d3.js prototype, and practical application at our group's website.

Browse

Browsing EuroVisShort2017 by Issue Date

Results Per Page

Sort Options