{"title":"Features vs Prototypes: Amplifying Cognition with Common Data Graphics","authors":"M. Migut, M. Worring","doi":"10.2312/eurp.20161142","DOIUrl":"https://doi.org/10.2312/eurp.20161142","url":null,"abstract":"The most common and important data visualizations, such as barcharts or scatterplots are typically feature-based. In this paper we question whether feature-based representations are favorable from the cognition point of view. We show through the examples how the notion of prototypes can be introduced and discuss based on Card's taxonomy how feature- and prototype-based representations amplify cognition.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"732 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124111455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Smit, A. Kraima, D. Jansma, M. DeRuiter, E. Eisemann, A. Vilanova
{"title":"VarVis: Visualizing Anatomical Variation in Branching Structures","authors":"N. Smit, A. Kraima, D. Jansma, M. DeRuiter, E. Eisemann, A. Vilanova","doi":"10.2312/eurovisshort.20161160","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161160","url":null,"abstract":"Anatomical variations are naturally-occurring deviations from typical human anatomy. While these variations are considered normal and non-pathological, they are still of interest in clinical practice for medical specialists such as radiologists and transplantation surgeons. The complex variations in branching structures, for instance in arteries or nerves, are currently visualized side-by-side in illustrations or expressed using plain text in medical publications. \u0000 \u0000In this work, we present a novel way of visualizing anatomical variations in complex branching structures for educational purposes: VarVis. VarVis consists of several linked views that reveal global and local similarities and differences in the variations. We propose a novel graph representation to provide an overview of the topological changes. Our solution involves a topological similarity measure, which allows the user to select variations at a global level based on their degree of similarity. After a selection is made, local topological differences can be interactively explored using illustrations and topology graphs. We also incorporate additional information regarding the probability of the various cases. Our solution has several advantages over traditional approaches, which we demonstrate in an evaluation.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Venustiano Soancatl, J. V. D. Gronde, C. Lamoth, N. Maurits, J. Roerdink
{"title":"Visual Data Exploration for Balance Quantification During Exergaming","authors":"Venustiano Soancatl, J. V. D. Gronde, C. Lamoth, N. Maurits, J. Roerdink","doi":"10.2312/eurp.20161133","DOIUrl":"https://doi.org/10.2312/eurp.20161133","url":null,"abstract":"Recently, digital games controlled by real-time body movements (exergames) have been proposed as an innovative method to improve balance among older adults. One of the main challenges for exergames is to automatically quantify balance during game-play to adapt the game difficulty according to the skills of the player. Here we perform a multidimensional exploratory data analysis, using visualization and force plate data, to establish suitable measures for quantifying balance in real-time. Our visualizations provide quick insight and directions for further data exploration. They suggest that speed, curvature, the root mean square of the mediolateral displacement of the center of pressure, and a turbulence measure are the most promising measures for balance quantification. The next step is to apply the present techniques to data of whole body movements as recorded by devices such as Kinect, that are available for gameplay at home.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121462117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Malik Olivier Boussejra, Noboru Adachi, H. Shojo, Ryohei Takahashi, I. Fujishiro
{"title":"LMML: Initial Developments of an Integrated Environment for Forensic Data Visualization","authors":"Malik Olivier Boussejra, Noboru Adachi, H. Shojo, Ryohei Takahashi, I. Fujishiro","doi":"10.2312/eurovisshort.20161157","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161157","url":null,"abstract":"Fighting against crime is paramount to any society, maybe more today than ever before. Tools to fight and elucidate crime are rooted in forensic science. Through the autopsy of a body, we can answer a whole range of questions as to how death happened and come up with explanations and counter-measures so that the same dire circumstance does not happen again. Now, because the reports collecting the data are written manually, the recording of the data collected through traditional autopsy still is a cumbersome, time-consuming task. Our framework, based on a mark-up language (that we dubbed \"LMML\") to store, describe and arrange forensic data, aims at overcoming those issues. Our contribution is twofold: the design of the syntax and semantics of LMML, and the conception of an interface to create, edit, analyse or query files written in that language. Thus, this framework allows quicker, smoother input of forensic data, for better automation and visualization thereof, so that they can be used by medical examiners, investigators, as well as judicial courts.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115039104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Andrews, Thomas Traunmüller, Thomas Wolkinger, Eva Goldgruber, Robert Gutounig, Julian Ausserhofer
{"title":"Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server","authors":"K. Andrews, Thomas Traunmüller, Thomas Wolkinger, Eva Goldgruber, Robert Gutounig, Julian Ausserhofer","doi":"10.2312/eurp.20161150","DOIUrl":"https://doi.org/10.2312/eurp.20161150","url":null,"abstract":"Statistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, parsed, and held in memory) in one go, or must install and maintain their own data server which the app can query on demand. \u0000 \u0000The Styrian Diversity Visualisation (in German \"Steirische Vielfalt Visualisiert\" or SVV) project demonstrates the use of a dedicated data server (triple store) to host large amounts of statistical open data. The SVV web app queries the data server dynamically using SPARQL queries to obtain exactly the data required at that particular time, greatly simplifying its internal logic. There is no need to parse and store entire data sets in memory.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115314140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data","authors":"Athanasios Vogogias, J. Kennedy, D. Archambault","doi":"10.2312/eurp.20161127","DOIUrl":"https://doi.org/10.2312/eurp.20161127","url":null,"abstract":"Rigid adherence to pre-specified thresholds and static graphical representations can lead to incorrect decisions on merging of clusters. As an alternative to existing automated or semi-automated methods, we developed a visual analytics approach for performing hierarchical clustering analysis of short time-series gene expression data. Dynamic sliders control parameters such as the similarity threshold at which clusters are merged and the level of relative intra-cluster distinctiveness, which can be used to identify \"weak-edges\" within clusters. An expert user can drill down to further explore the dendrogram and detect nested clusters and outliers. This is done by using the sliders and by pointing and clicking on the representation to cut the branches of the tree in multiple-heights. A prototype of this tool has been developed in collaboration with a small group of biologists for analysing their own datasets. Initial feedback on the tool has been positive.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127621199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrea Schnorr, Sebastian Freitag, T. Kuhlen, B. Hentschel
{"title":"Tracking Space-Filling Features by Two-Step Optimization","authors":"Andrea Schnorr, Sebastian Freitag, T. Kuhlen, B. Hentschel","doi":"10.2312/eurp.20161146","DOIUrl":"https://doi.org/10.2312/eurp.20161146","url":null,"abstract":"We present a novel approach for tracking space-filling features, i.e., a set of features covering the entire domain. The assignment between successive time steps is determined by a two-step, global optimization scheme. First, a maximum-weight, maximal matching on a bi-partite graph is computed to provide one-to-one assignments between features of successive time steps. Second, events are detected in a subsequent step; here the matching step serves to restrict the exponentially large set of potential solutions. To this end, we compute an independent set on a graph representing conflicting event explanations. The method is evaluated by tracking dissipation elements, a structure definition from turbulent flow analysis.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124448649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CompaRing: Reducing Costs of Visual Comparison","authors":"C. Tominski","doi":"10.2312/eurovisshort.20161175","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161175","url":null,"abstract":"Comparison is a frequent task when analyzing data. In visualization, comparison tasks are naturally carried out based on a visual representation of the data. Visual comparison allows us to gain insight where plain computations of numerical differences alone cannot grasp the complex interdependencies in the data. Yet, visual comparison also comes at a cost. There are costs when interpreting the visual representation and costs when interactively carrying out the comparison. We present techniques to reduce some of the costs associated with visual comparison. We address cognitive costs for comparing objects that are spread across a visual representation and interaction costs for selecting and navigating between objects to be compared. Our techniques are illustrated by the example of comparing geographic regions in choropleth maps.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121572717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chengtao Ji, J. V. D. Gronde, N. Maurits, J. Roerdink
{"title":"Tracking and Visualizing Dynamic Structures in Multichannel EEG Coherence Networks","authors":"Chengtao Ji, J. V. D. Gronde, N. Maurits, J. Roerdink","doi":"10.2312/eurp.20161134","DOIUrl":"https://doi.org/10.2312/eurp.20161134","url":null,"abstract":"An electroencephalography (EEG) coherence network represents functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Visualization of coherence networks can provide insight into unexpected patterns of cognitive processing and help neuroscientists understand brain mechanisms. However, most studies have been limited to static EEG coherence networks or were focused on individual network nodes. In this poster, we consider groups of nodes for visualizing the evolution of network communities and their corresponding spatial location. We use a timeline-based representation to provide an overview of the evolution of functional units (FUs) and their corresponding spatial location over time. This representation can help the viewer identify functional units across the whole time window, as well as to identify relations between functional units and brain regions. In addition, a time-annotated FU map is provided to facilitate comparison of the behavior of the nodes between consecutive FU maps. This time-annotated FU map provides more detail about how the classification of electrodes into FUs changes over time. Our method is proposed as a first step towards a complete analysis of EEG coherence networks.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"39 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133003857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Buchmüller, Dominik Jäckle, Florian Stoffel, D. Keim
{"title":"SpaceCuts: Making Room for Visualizations on Maps","authors":"J. Buchmüller, Dominik Jäckle, Florian Stoffel, D. Keim","doi":"10.2312/eurovisshort.20161163","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161163","url":null,"abstract":"Visual map features like streets, rail tracks, or rivers do not provide enough space to visualize multiple attributes on them. Related approaches to solve space issues distort the map with lenses, apply distortion techniques to the map geometry, or employ three dimensional visualizations. All these techniques come at the cost of distortion or overlapping of relevant map features or they even produce overlap of visualized data. In this paper, we present SpaceCuts, a technique to generate additional space for data visualization on maps that does not distort the map and introduces only minimal overlap by cutting the map along a geographic structure and pulling the resulting areas apart. Besides introducing the basic technique, we discuss possible interactions, further extensions, application scenarios, and outline potential future research.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130754100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}