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  • 51.
    Kerren, Andreas
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Interactive Visualization of Graph Pyramids2005Report (Other academic)
    Abstract [en]

    Hierarchies of plane graphs, called graph pyramids, can be used for collecting, storing and analyzing geographical information based on satellite images or other input data. The visualization of graph pyramids facilitates studies about their structure, such as their vertex distribution or height in relation of a specific input image. Thus, a researcher can debug algorithms and ask for statistical information. Furthermore, it improves the better understanding of geographical data, like landscape properties or thematical maps. In this paper, we present an interactive 3D visualization tool that supports several coordinated views on graph pyramids, subpyramids, level graphs, thematical maps, etc. Additionally, some implementation details and application results are discussed.

  • 52.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Special issue on VINCI 2016 best papers2018In: Journal of Visual Languages and Computing, ISSN 1045-926X, E-ISSN 1095-8533, Vol. 48, p. 9-9Article in journal (Other academic)
  • 53.
    Kerren, Andreas
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Visualization of Workaday Data Clarified by Means of Wine Fingerprints2011In: Human Aspects of Visualization: Second IFIP WG 13.7 Workshop on Human-Computer Interaction and Visualization, HCIV (INTERACT) 2009, Uppsala, Sweden, August 24, 2009, Revised Selected Papers / [ed] Achim Ebert et al., Berlin Heidelberg New York: Springer, 2011, p. 92-107Conference paper (Refereed)
    Abstract [en]

    More and more average users of personal computers, standard software, and web browsers come into contact with (information) visualization techniques. Depending on the task they have to perform, such visualizations are used for communication purposes, to provide a better overview of personal data, for instance pictures or emails, or to provide information of everyday commodities. After a brief outline about properties and characteristics of workaday data and their users, we focus in this paper on the visualization of wine attributes. The decision to buy a specific bottle of wine is a complex process that incorporates many different aspects from own experiences and current desires to various aromas and flavors that the wine promises to keep. We have developed two different visual representations for wine related data, which we call wine fingerprints. Both approaches are able to represent the most used wine attributes in literature and practice and can guide the purchase decision process of customers. Pros and cons of our wine fingerprints are discussed and compared with related approaches.

  • 54.
    Kerren, Andreas
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Visualizations and Animations in Learning Systems2012In: Encyclopedia of the Sciences of Learning / [ed] Norbert M. Seal, Springer, 2012, p. 3419-3421Chapter in book (Other academic)
  • 55.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Cernea, DanielAGT International, Germany.Pohl, MargitTechnical University of Vienna, Austria.
    Proceedings of EmoVis 2016: ACM IUI 2016 Workshop on Emotion and Visualization2016Conference proceedings (editor) (Refereed)
  • 56.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Cernea, Daniel
    AGT International, Germany.
    Pohl, Margit
    Technical University of Vienna, Austria.
    Workshop on Emotion and Visualization: EmoVis 20162016In: Companion Publication of the 21st International Conference on Intelligent User Interfaces, New York, NY, USA: ACM Publications, 2016, p. 1-2Conference paper (Other academic)
  • 57.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Ebert, AchimMeyer, Jörg
    Human-Centered Visualization Environments: GI-Dagstuhl Research Seminar, Dagstuhl Castle, Germany, March 5-8, 2006, Revised Lectures2007Collection (editor) (Refereed)
    Abstract [en]

    This tutorial book presents an augmented selection of the material presented at the GI-Dagstuhl Research Seminar on Human-Centered Visualization Environments, HCVE 2006, held in Dagstuhl Castle, Germany in March 2006.

    The 8 tutorial lectures presented are the thoroughly cross-reviewed and revised versions of the summaries and findings, presented and discussed at the seminar. After an introduction to human-centered visualization environments the fundamental principles and methods in that area are shown such as human-centered aspects, interacting with visualizations, visual representations, as well as challenges and unsolved problems. The book is concluded with lectures on domain-specific visualization describing geographic visualization, algorithm animation, and biomedical information visualization.

  • 58.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science Department.
    Ebert, Achim
    Meyer, Jörg
    Introduction to Human-Centered Visualization Environments2007In: Human-Centered Visualization Environments: GI-Dagstuhl Research Seminar, Dagstuhl Castle, Germany, March 5-8, 2006, Revised Lectures, 2007Chapter in book (Other (popular science, discussion, etc.))
  • 59.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Egger, Thomas
    EAVis: A Visualization Tool for Evolutionary Algorithms2005In: Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC '05), IEEE Computer Society Press , 2005, p. 299-301Conference paper (Refereed)
    Abstract [en]

    Evolutionary algorithms (EAs) produce a vast amount of data by recurring processes, e.g., selection, recombination, or mutation, that work on populations of solutions for a specific problem. In order to get a better insight into the progress of EAs a Java-based visualization tool, called EAVis, was developed. Several coordinated views help the user to watch each generation step of the EA and to derive knowledge as well as better understanding of the underlying evolutionary computational models.

  • 60.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Hurter, ChristopheFrench Civil Aviation University (ENAC), France.Braz, JoséEscola Superior de Tecnologia de Setúbal, Portugal.
    Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, Prague, Czech Republic, February 25-27, 2019: Volume 3: IVAPP2019Conference proceedings (editor) (Refereed)
    Abstract [en]

    This book contains the proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) which was organized and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), in cooperation with ACM SIGCHI, ACM SIGGRAPH, AFIG, Eurographics and UXPA International.

    The proceedings here published demonstrate new and innovative solutions and highlight technical problems in each field that are challenging and worthwhile being disseminated to the interested research audiences.

    VISIGRAPP 2019 was organized to promote a discussion forum about the conference’s research topics be- tween researchers, developers, manufacturers and end-users, and to establish guidelines in the development of more advanced solutions.

    We received a high number of paper submissions for this edition of VISIGRAPP, 396 in total, with contribu- tions from all five continents. This attests to the success and global dimension of VISIGRAPP. To evaluate each submission, we used a double-blind evaluation method where each paper was reviewed by two to six experts from the International Program Committee (IPC).

    The IPC selected for oral presentation and for publication as full papers 12 papers from GRAPP, 6 for HUCAPP, 12 papers for IVAPP, and 36 papers for VISAPP, which led to a result for the full-paper accep- tance ratio of 17% and a high-quality program. Apart from the above full papers, the conference program also features 88 short papers and 115 poster presentations. We hope that these conference proceedings, which are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, SCOPUS, DBLP, Semantic Scholar, Google Scholar and EI, will help the Computer Vision, Imaging, Visualization and Computer Graphics communities to find interesting research work. Moreover, we are proud to inform that the program also includes four plenary keynote lectures, given by internationally distinguished researchers, namely Daniel McDuff (Microsoft, United States), Diego Gutierrez (Universidad de Zaragoza, Spain), Jiri Matas (Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic) and Dima Damen (University of Bristol, United Kingdom), thus contributing to increase the overall quality of the con- ference and to provide a deeper understanding of the conference’s interest fields.

    Furthermore, a short list of the presented papers will be selected to be expanded into a forthcoming book of VISIGRAPP Selected Papers to be published by Springer during 2019 in the CCIS series. Also, a short list of presented papers will be selected for publication of extended and revised versions in a special issue of the Open Access Information Science Journal (IVAPP) and in a special issue of the Pattern Recognition and Artificial Intelligence Journal (VISAPP). All papers presented at this conference will be available at the SCITEPRESS Digital Library. Three awards are delivered at the closing session, to recognize the best conference paper, the best student paper and the best poster for each of the four conferences.

    We would like to express our thanks, first of all, to the authors of the technical papers, whose work and dedication made possible to put together a program that we believe to be very exciting and of high technical quality. Next, we would like to thank the Area Chairs, all the members of the program committee and auxiliary reviewers, who helped us with their expertise and time. We would also like to thank the invited speakers for their invaluable contribution and for sharing their vision in their talks. Special thanks should be addressed to the INSTICC Steering Committee whose invaluable work made this event possible.

    We wish you all an exciting conference and an unforgettable stay in Prague, Czech Republic. We hope to meet you again for the next edition of VISIGRAPP, details of which are available at http://www.visigrapp.org.

  • 61.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Hurter, ChristopheFrench Civil Aviation University (ENAC), France.Braz, JoséEscola Superior de Tecnologia de Setúbal, Portugal.
    Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Valletta, Malta, February 27-29, 2020: Volume 3: IVAPP2020Conference proceedings (editor) (Refereed)
    Abstract [en]

    This book contains the proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) which was organized and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), in cooperation with the ACM Special Interest Group on Computer Human Interaction (SIGCHI), the French Association for Computer Graphics (AFIG), the EUROGRAPHICS Portuguese Chapter, the European Association for Computer Graphics (EUROGRAPHICS) and the Society for Imaging Science and Technology (IS&T).

    The proceedings here published demonstrate new and innovative solutions and highlight technical problems in each field that are challenging and worthy of being disseminated to the interested research audiences.

    VISIGRAPP 2020 was organized to promote a discussion forum about the conference’s research topics between researchers, developers, manufacturers and end-users, and to establish guidelines in the development of more advanced solutions.

    We received a high number of paper submissions for this edition of VISIGRAPP, 455 in total, with contributions from 58 countries. This attests to the success and global dimension of VISIGRAPP. To evaluate each submission, we used a hierarchical process of double-blind evaluation where each paper was reviewed by two to six experts from the International Program Committee (IPC).

    The IPC selected for oral presentation and for publication as full papers 16 papers from GRAPP, 8 from HUCAPP, 9 papers from IVAPP, and 46 papers from VISAPP, which led to a result for the full-paper acceptance ratio of 17% and a high-quality program. Apart from the above full papers, the conference program also features 118 short papers and 109 poster presentations. We hope that these conference proceedings, which are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, SCOPUS, DBLP, Semantic Scholar, Google Scholar, EI and Microsoft Academic, will help the Computer Vision, Imaging, Visualization, Computer Graphics and Human-Computer Interaction communities to find interesting research work. Moreover, we are proud to inform that the program also includes four plenary keynote lectures, given by internationally distinguished researchers, namely Matthias Niessner (Technical University of Munich, Germany), Anthony Steed (University College London, United Kingdom), Alan Chalmers (University of Warwick, United Kingdom) and Helen Purchase (University of Glasgow, United Kingdom), thus contributing to increase the overall quality of the conference and to provide a deeper understanding of the conference’s interest fields.

    Furthermore, a short list of the presented papers will be selected to be extended into a forthcoming book of VISIGRAPP Selected Papers to be published by Springer during 2020 in the CCIS series. Moreover, a short list of presented papers will be selected for publication of extended and revised versions in a special issue of the open access Information Journal (IVAPP), a special issue of the Pattern Recognition and Artificial Intelligence Journal (VISAPP) and a special issue of The Visual Computer journal (GRAPP and HUCAPP). All papers presented at this conference will be available at the SCITEPRESS Digital Library. Three awards are delivered at the closing session, to recognize the best conference paper, the best student paper and the best poster for each of the four conferences. There is also an award for best industrial paper to be delivered at the closing session for HUCAPP and VISAPP.

    We would like to express our thanks, first of all, to the authors of the technical papers, whose work and dedication made it possible to put together a program that we believe to be very exciting and of high technical quality. Next, we would like to thank the Area Chairs, all the members of the program committee and auxiliary reviewers, who helped us with their expertise and time. We would also like to thank the invited speakers for their invaluable contribution and for sharing their vision in their talks. Special thanks should be addressed to the INSTICC Steering Committee whose invaluable work made this event possible.

    We wish you all an exciting conference and an unforgettable stay in Valletta, Malta. We hope to meet you again for the next edition of VISIGRAPP, details of which are available at http://www. visigrapp.org.

  • 62.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Jusufi, Ilir
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    3D Kiviat Diagrams for the Interactive Analysis of Software Metric Trends2010In: Proceedings of the 5th ACM Symposium on Software Visualization (SoftVis '10), ACM Press, 2010, p. 203-204Conference paper (Refereed)
    Abstract [en]

    Previous techniques for visualizing time-series of multivariate data mostly plot the time along additional axes, are often complex, and does not support intuitive interaction. In this poster paper, we present an interactive visualization approach for the analysis of software metric trends that allows users to operate with Kiviat diagrams on 2D planes in the space and to intuitively extend this visual representation into 3D if needed.

  • 63.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Jusufi, Ilir
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    A Novel Radial Visualization Approach for Undirected Hypergraphs2013In: EuroVis: Short Papers, Eurographics - European Association for Computer Graphics, 2013, p. 25-29Conference paper (Refereed)
    Abstract [en]

    Hypergraphs are a more generalized concept of graphs where an edge typically connects multiple vertices. They are applicable to many different domains such as the representation of complex biochemical pathways or classification problems with non-empty intersections between different groups, for instance, in social network analysis. There is a need to visualize those relational data structures in such a way that a better understanding of the relationships between vertices as well as their interactive exploration is supported. This paper describes a new radial visualization technique to layout undirected hypergraphs without clutter and to provide methods of interaction and data analysis. 

  • 64.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Jusufi, Ilir
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Novel Visual Representations for Software Metrics Using 3D and Animation2009In: Software Engineering 2009 – Workshopband, GI-Edition , 2009, p. 147-154Conference paper (Refereed)
    Abstract [en]

    The visualization of software metrics is an important step towards a better understanding of the software product to be developed. Software metrics are quantitative measurements of a piece of software, e.g., a class, a package, or a component. A good understanding of software metrics supports the identification of possible problems in the development process and helps to improve the software quality. In this paper, we present two possibilities how novel visual representations can support the user to discover interesting properties within the metric data set. The first one uses a new interactive 3D metaphor to overcome known problems in the visualization of the evolution of software metrics. Then, we focus on the usage of 2D animation to represent metric values. Both approaches were implemented and address different aspects in human-centered visualization, i.e., the design of visual metaphors that are intuitive from the user perspective in the first case as well as the support of patterns in motion to facilitate the visual perception of metric outliers in the second case.

  • 65.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Jusufi, Ilir
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Aleksakhin, Vladyslav
    Schreiber, Falk
    CluMa-GO: Bring Gene Ontologies and Hierarchical Clusterings Together2011Other (Refereed)
    Abstract [en]

    Ontologies and hierarchical clustering are both important tools in biology and medicine to study high-throughput data such as transcriptomics and metabolomics data. Enrichment of ontology terms in the data is used to identify statistically overrepresented ontology terms, giving insight into relevant biological processes or functional modules. Hierarchical clustering is a standard method to analyze and visualize data to find relatively homogeneous clusters of experimental data points. Both methods support the analysis of the same data set, but are usually considered independently. However, often a combined view is desired: visualizing a large data set in the context of an ontology under consideration of a clustering of the data. This paper proposes a new visualization method for this task.

  • 66.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Jusufi, Ilir
    University of California, USA.
    Liu, Jiayi
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Multi-Scale Trend Visualization of Long-Term Temperature Data Sets2014In: Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden / [ed] M. Obaid, D. Sjölie and M. Fjeld, Linköping University Electronic Press, 2014, p. 91-94Conference paper (Refereed)
    Abstract [en]

    The analysis and presentation of climate observations is a traditional application of various visualization approaches. The available data sets are usually huge and were typically collected over a long period of time. In this paper, we focus on the visualization of a specific aspect of climate data: our visualization tool was primarily developed for providing an overview of temperature measurements for one location over decades or even centuries. In order to support an efficient overview and visual representation of the data, it is based on a region-oriented metaphor that includes various granularity levels and aggregation features. 

    Download full text (pdf)
    sigrad14
  • 67.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Jusufi, Ilir
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Milrad, Marcelo
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    GNV System: A Tool for Visualizing Geo-tagged Data2008Other (Other academic)
    Abstract [en]

    The total population of GPS-enabled location-based services (LBS) subscribers is constantly increasing. These GPS-enabled devices produce a wide range of media content (e.g., text/audio notes, pictures, or videos) enhanced by geo-tagged information. This fact poses a challenge regarding how to store and retrieve it and opens new research opportunities for visualizing this type of data. The overall aim of our current research is to develop novel approaches and methods for visualizing the content of these documents that will be placed in maps using GPS-coordinates as well as to visualize the semantical, temporal, and spatial relations between the documents themselves. We combined different visualization and interaction techniques, such as glyph-based techniques and visual clustering, to analyze the produced data. Our prototype application, called GNV System (GeoNotes Visualization System), demonstrates the interplay of different interaction techniques and components as well as their functionality.

    Download full text (pdf)
    FULLTEXT01
  • 68.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Klein, KarstenKonstanz University, Germany.Li, Yi-NaUniversity of Science and Technology of China.
    Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18): Växjö, Sweden, August 13-15, 20182018Conference proceedings (editor) (Refereed)
    Abstract [en]

    Welcome to the 11th International Symposium on Visual Information Communication and Interaction (VINCI 2018) held in Växjö, Sweden from August 13th to 15th, 2018. The objective of this symposium series is to provide a forum for researchers, artists, designers and industrial practitioners to discuss the state of the art in visual communication theories, designs and applications. As in past years, the papers in these proceedings represent the most interesting and exciting recent research in the area of visual communication.

  • 69.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Kucher, Kostiantyn
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Li, Yuan-Fang
    Monash University, Australia.
    Schreiber, Falk
    University of Konstanz, Germany ; Monash University, Australia.
    BioVis Explorer: A visual guide for biological data visualization techniques2017In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 12, no 11, article id e0187341Article in journal (Refereed)
    Abstract [en]

    Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for the visualization of biological data have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of state-of-the-art visualization research has become increasingly challenging for both biology researchers and visualization researchers. To address this challenge, we have reviewed visualization research especially performed for the Biosciences and created an interactive web-based visualization tool, the BioVis Explorer. BioVis Explorer allows the exploration of published visualization methods in interactive and intuitive ways, including faceted browsing and associations with related methods. The tool is publicly available online and has been designed as community-based system which allows users to add their works easily.

  • 70.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Kucher, Kostiantyn
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Li, Yuan-Fang
    Monash University, Australia.
    Schreiber, Falk
    University of Konstanz, Germany ; Monash University, Australia.
    MDS-based Visual Survey of Biological Data Visualization Techniques2017In: EuroVis 2017 - Posters / [ed] Anna Puig Puig and Tobias Isenberg, Eurographics - European Association for Computer Graphics, 2017, p. 85-87Conference paper (Refereed)
    Abstract [en]

    Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for biological data visualization have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of state-of-the-art visualization research has become increasingly challenging for both biology researchers as well as visualization researchers. To address this challenge, we have reviewed visualization research for the Biosciences and created an interactive web-based visualization tool, the BioVis Explorer. BioVis Explorer allows the exploration of published visualization methods in interactive and intuitive ways, including faceted browsing and associations with related methods. 

  • 71.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Kyusakova, Mimi
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Paradis, Carita
    Lund University, Centre for Languages and Literature.
    From Culture to Text to Interactive Visualization of Wine Reviews2013In: Knowledge Visualization Currents: From Text to Art to Culture, Part II / [ed] F.T. Marchese and E. Banissi, London: Springer, 2013, p. 85-110Chapter in book (Refereed)
    Abstract [en]

    On the basis of a large corpus of wine reviews, this chapter proposes a range of interactive visualization techniques that are useful for linguistic exploration and analysis of lexical, grammatical and discursive patterns in text. Our visualization tool allows linguists and others to make comparisons of visual, olfactory, gustatory and textual properties of different wines for example from different countries, from different grape varieties, or from different vintages. It also supports the visual exploration of sensory descriptions as well as confirmatory investigations of text and discourse. Besides a more technical discussion of our visualization approach, we also provide a more general overview of text and corpus visualizations and highlight linguistic challenges that we had to address during the development phase.

  • 72.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Köstinger, Harald
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Interactive Exploration and Analysis of Network Centralities2011Other (Refereed)
  • 73.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Köstinger, Harald
    Zimmer, Björn
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    ViNCent: Visualization of Network Centralities2012In: Proceedings of the International Conference on Information Visualization Theory and Applications (IVAPP '12), SciTePress , 2012, p. 703-712Conference paper (Refereed)
    Abstract [en]

    The use of network centralities in the field of network analysis plays an important role when the relative importanceof nodes within the network topology should be rated. A single network can easily be represented by theuse of standard graph drawing algorithms, but not only the exploration of one centrality might be important:the comparison of two or more of them is often crucial for a better understanding. When visualizing the comparisonof several network centralities, we are facing new problems of how to show them in a meaningful way.For instance, we want to be able to track all the changes of centralities in the networks as well as to displaythe single networks as best as possible. In the life sciences, centrality measures help scientists to understandthe underlying biological processes and have been successfully applied to different biological networks. Theaim of this paper is to present a novel system for the interactive visualization of biochemical networks and itscentralities. Researchers can focus on the exploration of the centrality values including the network structurewithout dealing with visual clutter or occlusions of nodes. Simultaneously, filtering based on statistical dataconcerning the network elements and centrality values supports this.

  • 74.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Müldner, Tomasz
    Shakshuki, Elhadi
    Novel Algorithm Explanation Techniques for Improving Algorithm Teaching2006In: Proceedings of the 3rd ACM Symposium on Software Visualization (SoftVis '06), ACM Press , 2006, p. 175-176Conference paper (Refereed)
  • 75.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Plaisant, Catherine
    Stasko, John T.
    10241 Abstracts Collection: Information Visualization2010Report (Other academic)
    Abstract [en]

    From 13.06.10 to 18.06.10, the Dagstuhl Seminar 10241 "Information Visualization" was held in Schloss Dagstuhl - Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

  • 76.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Plaisant, Catherine
    Stasko, John T.
    10241 Executive Summary: Information Visualization2010Report (Other academic)
    Abstract [en]

    Information Visualization (InfoVis) focuses on the use of visualization techniques to help people understand and analyze data. While related fields such as Scientific Visualization involve the presentation of data that has some physical or geometric correspondence, Information Visualization centers on abstract information without such correspondences.

    The aim of this seminar was to bring together theoreticians and practitioners from the field with a special focus on the intersection of InfoVis and Human-Computer Interaction. To support discussions that are related to the visualization of real world data, researchers from selected application areas also attended and contributed. During the seminar, working groups on eight different topics were formed and enabled a critical reflection on ongoing research efforts, the state of the field, and key research challenges today. This document summarizes the event.

  • 77.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Prangova, Mimi
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Paradis, Carita
    Lund University, Centre for Languages and Literature.
    Visualization of Sensory Perception Descriptions2011In: Proceedings of the International Conference on Information Visualisation, IEEE, 2011, p. 135-144Conference paper (Refereed)
    Abstract [en]

    On the basis of a large corpus of wine reviews, this paper proposes a range of interactive visualization techniques that are useful for linguistic exploration and analysis of lexical, grammatical and discursive patterns in text. Our visualization tool allows linguists and others to make comparisons of visual, olfactory, gustatory and textual properties of different wines from different parts of the worlds, from different grape varieties, or from different vintages. It also supports the immediate creation of visual profiles for descriptions of sensory perceptions for exploratory purposes as well as for purposes of confirmatory investigations of linguistic patterns in text and discourse and their correlations to metadata variables. 

  • 78.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Purchase, Helen C.
    University of Glasgow.
    Ward, Matthew O.
    Worcester Polytechnic Institute.
    Information Visualization: Towards Multivariate Network Visualization2013Report (Other academic)
    Abstract [en]

    Information Visualization (InfoVis) focuses on the use of visualization techniques to help people understand and analyze large and complex data sets. The aim of this third Dagstuhl Seminar on Information Visualization was to bring together theoreticians and practitioners from Information Visualization, HCI, and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. To support discussions related to the visualization of real world data, researchers from selected application areas, especially bioinformatics, social sciences, and software engineering, were also invited. During the seminar, working groups on six different topics were formed and enabled a critical reflection on ongoing research efforts, the state of the field in multivariate network visualization, and key research challenges today. This report documents the program and the outcomes of Dagstuhl Seminar 13201 "Information Visualization - Towards Multivariate Network Visualization".

  • 79.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Purchase, Helen C.
    University of Glasgow.
    Ward, Matthew O.
    Worcester Polytechnic Institute.
    Introduction to Multivariate Network Visualization2014In: Multivariate Network Visualization / [ed] Kerren, Andreas, Purchase, Helen, Ward, Matthew O., Springer, 2014, p. 1-9Conference paper (Refereed)
  • 80.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Purchase, Helen C.University of Glasgow.Ward, Matthew O.Worcester Polytechnic Institute.
    Multivariate Network Visualization: Dagstuhl seminar #13201 Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions2014Collection (editor) (Refereed)
    Abstract [en]

    This book is the outcome of the Dagstuhl Seminar 13201 on Information Visualization - Towards Multivariate Network Visualization, held in Dagstuhl Castle, Germany in May 2013.

    The goal of this Dagstuhl Seminar was to bring together theoreticians and practitioners from Information Visualization, HCI, and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. The integration of multivariate data into complex networks and their visual analysis is one of the big challenges not only in visualization, but also in many application areas. Thus, in order to support discussions related to the visualization of real world data, also invited researchers from selected application areas, especially bioinformatics, social sciences, and software engineering. The unique "Dagstuhl climate" ensured an open and undisturbed atmosphere to discuss the state-of-the-art, new directions, and open challenges of multivariate network visualization.

  • 81.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Schreiber, Falk
    Martin Luther University .
    Network Visualization for Integrative Bioinformatics2014In: Approaches in Integrative Bioinformatics: Towards the Virtual Cell / [ed] Ming Chen and Ralf Hofestädt, Berlin Heidelberg: Springer, 2014, p. 173-202Chapter in book (Refereed)
    Abstract [en]

    Approaches to investigate biological processes have been of strong interest in the past few years and are the focus of several research areas like systems biology. Biological networks as representations of such processes are crucial for an extensive understanding of living beings. Due to their size and complexity, their growth and continuous change, as well as their compilation from databases on demand, researchers very often request novel network visualization, interaction and exploration techniques. In this chapter, we first provide background information that is needed for the interactive visual analysis of various biological networks. Fields such as (information) visualization, visual analytics and automatic layout of networks are highlighted and illustrated by a number of examples. Then, the state of the art in network visualization for the life sciences is presented together with a discussion of standards for the graphical representation of cellular networks and biological processes.

  • 82.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Schreiber, Falk
    Martin Luther University Halle-Wittenberg.
    Toward the Role of Interaction in Visual Analytics2012In: Proceedings of the 2012 Winter Simulation Conference (WSC '12), 2012, p. 420:1-420:13Conference paper (Refereed)
    Abstract [en]

    This paper firstly provides a general introduction in the most important aspects and ideas of VisualAnalytics. This multidisciplinary field focuses on the analytical reasoning of typically large and complex(often heterogeneous) data sets and combines techniques from interactive visualizations with computationalanalysis methods. Hereby, intuitive and efficient user interactions are a fundamental component which hasto be efficiently supported by any Visual Analytics system. This integration of interaction techniques intoboth visual representations and automatic analysis methods supports the human-information discourse andcan be realized in various ways which is discussed in the second part of the paper. We give examplesof possible applications of Visual Analytics from the domain of biological simulations and highlight theimportance and role of the human in the analysis loop.

  • 83.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Schreiber, Falk
    Monash Univ, Australia.
    Why Integrate InfoVis and SciVis?: An Example from Systems Biology2014In: IEEE Computer Graphics and Applications, ISSN 0272-1716, E-ISSN 1558-1756, Vol. 34, no 6, p. 69-73Article in journal (Other academic)
    Abstract [en]

    The more-or-less artificial barrier between information visualization and scientific visualization hinders knowledge discovery. Having an integrated view of many aspects of the target data, including a seamlessly interwoven visual display of structural abstract data and 3D spatial information, could lead to new discoveries, insights, and scientific questions. Such a view also could reduce the user’s cognitive load—that is, reduce the effort the user expends when comparing views.

  • 84.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Seipel, Stefan
    Proceedings of SIGRAD 2012, Interactive Visual Analysis of Data, November 29–30, 2012, Växjö, Sweden2012Conference proceedings (editor) (Refereed)
    Abstract [en]

    This year, we are happy to announce the 11th SIGRAD Conference Proceedings. For the first time, SIGRAD 2012, the annual conference of the Swedish Chapter of Eurographics, takes place in the Småland region of southern Sweden and is hosted by the Computer Science Department (ISOVIS Group) at Linnaeus University (LNU), Växjö.

    SIGRAD 2012 is the premier Nordic forum for computer graphics and visualization advances for academia, government, and industry. As the years before, this annual event brings together researchers and practitioners with interest in techniques, tools, and technology from various fields, such as visualization, computer graphics, visual analytics, or human-computer interaction. In 2012, the conference solicits novel research ideas and innovative applications especially in the area of interactive visual analysis of complex data sets. Each paper in this conference proceedings was peer-reviewed by at least three reviewers from the international program committee consisting of 23 experts listed below. Based on this set of reviews, the conference co-chairs accepted 12 papers in total (seven full papers and five short papers) and compiled the final program.

    Many have contributed to make the conference an enjoyable and beneficial experience. In particular, we would like to express our gratitude to the paper authors, the two invited speakers Alfred Inselberg and Frank van Ham as well as the industrial session speakers Nils Andersson (EON Development AB) and Robert Moberg (IBM Sweden). Without all those great people, this conference would not have been possible. Also, we would like to thank the international program committee as well as the auxiliary reviewers for their commitment and reviewing efforts. Finally, we thank our conference sponsors for generously supporting the conference.

    Welcome to SIGRAD 2012. We hope that you enjoy the conference and that you have a great stay in Växjö, Sweden. Be inspired, share experiences, and bring home new fresh ideas.

    Andreas Kerren and Stefan Seipel

  • 85.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Stasko, John T.
    Dykes, Jason
    Teaching Information Visualization2008In: Information Visualization: Human-Centered Issues and Perspectives, Springer , 2008, p. 65-91Chapter in book (Other (popular science, discussion, etc.))
    Abstract [en]

    Teaching InfoVis is a challenge because it is a new and growing field. This paper describes the results of a teaching survey based on the information given by the attendees of Dagstuhl Seminar 07221. It covers several aspects of offered InfoVis courses that range from different kinds of study materials to practical exercises. We have reproduced the discussion during the seminar and added our own experiences. We hope that this paper can serve as an interesting and helpful source for current and future InfoVis teachers.

  • 86.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Stasko, John T.
    Fekete, Jean-Daniel
    North, Chris
    07221 Abstracts Collection: Information Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation2007Report (Other academic)
    Abstract [en]

    From 28.05.07 to 01.06.07, the Dagstuhl Seminar 07221 "Information Visualization -- Human-Centered Issues in Visual Representation, Interaction, and Evaluation" was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

  • 87.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Stasko, John T.
    Fekete, Jean-Daniel
    North, Chris
    07221 Executive Summary: Information Visualization - Human-Centered Issues in Visual Representation, Interaction, and Evaluation2007Report (Other academic)
    Abstract [en]

    Information Visualization (InfoVis) focuses on the use of visualization techniques to help people understand and analyze data. While related fields such as Scientific Visualization involve the presentation of data that has some physical or geometric correspondence, Information Visualization centers on abstract information without such correspondences.

    One important aim of this seminar was to bring together theoreticians and practitioners from Information Visualization and related fields as well as from application areas. The seminar has allowed a critical reflectionon actual research efforts, the state of field, evaluation challenges, etc. This document summarizes the event.

  • 88.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Stasko, John T.
    Fekete, Jean-Daniel
    North, Chris
    Information Visualization: Human-Centered Issues and Perspectives2008Book (Other (popular science, discussion, etc.))
    Abstract [en]

    This book is the outcome of the Dagstuhl Seminar on "Information Visualization -- Human-Centered Issues in Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007.

    Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data.

    This book documents and extends the findings and discussions of the various sessions in detail. The seven contributions cover the most important topics: There are general reflections on the value of information visualization; evaluating information visualizations; theoretical foundations of information visualization; teaching information visualization. And specific aspects on creation and collaboration: engaging new audiences for information visualization; process and pitfalls in writing information visualization research papers; and visual analytics: definition, process, and challenges.

  • 89.
    Kerren, Andreas
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. Computer Science.
    Stasko, John T.
    Fekete, Jean-Daniel
    North, Chris
    Workshop Report: Information Visualization: Human-Centered Issues in Visual Representation, Interaction, and Evaluation2007In: Information Visualization, ISSN 1473-8724, Vol. 6, no 3, p. 189-196Article in journal (Refereed)
    Abstract [en]

    From 28 May to 1 June 2007, a seminar on 'Information Visualization–Human-Centered Issues in Visual Representation, Interaction, and Evaluation' took place at the International Conference and Research Center for Computer Science, Dagstuhl Castle, Germany. One important aim of this seminar was to bring together researchers and practitioners from Information Visualization and related fields, as well as from application areas, for lively discussion and interaction. The seminar allowed critical reflection on actual research efforts, the state of field, evaluation challenges, and other important topics. This report summarizes the event.

  • 90.
    Kerren, Andreas
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Zhang, KangThe University of Texas at Dallas, USA.
    Proceedings of the 9th International Symposium on Visual Information Communication and Interaction (VINCI '16): Dallas, TX, USA, September 24 - 26, 20162016Conference proceedings (editor) (Refereed)
    Abstract [en]

    Welcome to the 9th International Symposium on Visual Information Communication and Interaction (VINCI 2016) held in Dallas, TX, USA from September 24th to 26th, 2016. The objective of this symposium series is to provide a forum for researchers, artists, designers, and industrial practitioners to discuss the state of the art in visual communication theories, designs, and applications. As in past years, the papers in these proceedings represent the most interesting and exciting recent research in the area of visual communication.

  • 91.
    Kotlarek, Joseph
    et al.
    University of California, Davis, USA.
    Kwon, Oh-Hyun
    University of California, Davis, USA.
    Ma, Kwan-Liu
    University of California, Davis, USA.
    Eades, Peter
    University of Sydney, Australia.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Klein, Karsten
    University of Konstanz, Germany.
    Schreiber, Falk
    University of Konstanz, Germany.
    A Study of Mental Maps in Immersive Network Visualization2020Manuscript (preprint) (Other academic)
    Abstract [en]

    The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immersive visualization environment compared to a traditional 2D desktop environment on the comprehension of a networks structure. We compare the two visualization environments using three tasks—interpreting network structure, memorizing a set of nodes, and identifying the structural changes—commonly used for evaluating the quality of a mental map in network visualization. The results show that participants were able to interpret network structure more accurately when viewing the network in an immersive environment, particularly for larger networks. However, we found that 2D visualizations performed better than immersive visualization for tasks that required spatial memory.

  • 92.
    Kotlarek, Joseph
    et al.
    University of California, USA.
    Kwon, Oh-Hyun
    University of California, USA.
    Ma, Kwan-Liu
    University of California, USA.
    Eades, Peter
    University of Sydney, Australia.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Klein, Karsten
    University of Konstanz, Germany.
    Schreiber, Falk
    University of Konstanz, Germany.
    A Study of Mental Maps in Immersive Network Visualization2020In: 2020 IEEE Pacific Visualization Symposium (PacificVis) / [ed] Fabian Beck, Jinwook Seo & Chaoli Wang, IEEE, 2020, p. 1-10Conference paper (Refereed)
    Abstract [en]

    The visualization of a network influences the quality of the mental map that the viewer develops to understand the network. In this study, we investigate the effects of a 3D immersive visualization environment compared to a traditional 2D desktop environment on the comprehension of a networks structure. We compare the two visualization environments using three tasks—interpreting network structure, memorizing a set of nodes, and identifying the structural changes—commonly used for evaluating the quality of a mental map in network visualization. The results show that participants were able to interpret network structure more accurately when viewing the network in an immersive environment, particularly for larger networks. However, we found that 2D visualizations performed better than immersive visualization for tasks that required spatial memory.

  • 93.
    Kruiger, Johannes F.
    et al.
    University of Groningen, Netherlands.
    Rauber, Paulo E.
    University of Groningen, Netherlands.
    Martins, Rafael Messias
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Kobourov, Stephen
    The University of Arizona, USA.
    Telea, Alexandru C.
    University of Groningen, Netherlands.
    Graph Layouts by t-SNE2017In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 36, no 3, p. 283-294Article in journal (Refereed)
    Abstract [en]

    We propose a new graph layout method based on a modification of the t-distributed Stochastic Neighbor Embedding (t-SNE) dimensionality reduction technique. Although t-SNE is one of the best techniques for visualizing high-dimensional data as 2D scatterplots, t-SNE has not been used in the context of classical graph layout. We propose a new graph layout method, tsNET, based on representing a graph with a distance matrix, which together with a modified t-SNE cost function results in desirable layouts. We evaluate our method by a formal comparison with state-of-the-art methods, both visually and via established quality metrics on a comprehensive benchmark, containing real-world and synthetic graphs. As evidenced by the quality metrics and visual inspection, tsNET produces excellent layouts.

  • 94.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Cernea, Daniel
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Visualizing Excitement of Individuals and Groups2016In: Proceedings of the ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16) / [ed] Andreas Kerren, Daniel Cernea, and Margit Pohl, Linköping, Sweden: Linköping University Electronic Press, 2016, p. 15-22Conference paper (Refereed)
    Abstract [en]

    Excitement or arousal is one of the main emotional dimensions that affects our lives on a daily basis. We win a tennis match, watch a great movie, get into an argument with a colleague—all of these are instances when most of us experience excitement, yet we do not pay much attention to it. Today, there are few systems that capture our excitement levels and even fewer that actually promote awareness of our most exciting moments. In this paper, we propose a visualization concept for representing individual and group-level excitement for emotional self-awareness and group-level awareness. The data used for the visualization is obtained from smart wristbands worn by each of the users. The visualization uses animated glyphs to generate a real-time representation for each individual’s excitement levels. We introduce two types of encodings for these glyphs: one focusing on capturing both the current excitement and the excitement history, as well as another focusing only on real-time values and previous peaks. The excitement levels are computed based on measurements of the user’s galvanic skin response and accelerometer data from the wristbands, allowing for a classification of the excitement levels into experienced (excitement without physical manifestation) and manifested excitement. A dynamic clustering of the individual glyphs supports the scalability of our visualization, while at the same time offering an overview of the group-level excitement and its distribution. The results of a preliminary evaluation suggest that the visualization allows users to intuitively and accurately perceive both individual and group-level excitement. 

  • 95.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM), Department of Computer Science.
    Text Visualization Browser: A Visual Survey of Text Visualization Techniques2014In: Poster Abstracts of IEEE VIS 2014, 2014Conference paper (Refereed)
    Abstract [en]

    Text visualization has become a growing and increasingly important subfield of information visualization. Thus, it is getting harder for researchers to look for related work with specific tasks or visual metaphors in mind. In this poster, we present an interactive visual survey of text visualization techniques that can be used for the purposes of search for related work, introduction to the subfield and gaining insight into research trends. 

  • 96.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Text Visualization Revisited: The State of the Field in 20192019In: Posters of the 21th EG/VGTC Conference on Visualization (EuroVis '19) / [ed] João M. Pereira and Renata G. Raidou, Eurographics - European Association for Computer Graphics, 2019, p. 29-31Conference paper (Refereed)
    Abstract [en]

    Text and document data visualization is an important research field within information visualization and visual analytics with multiple application domains including digital humanities and social media, for instance. During the past five years, we have been collecting text visualization techniques described in peer-reviewed literature, categorizing them according to a detailed categorization schema, and providing the resulting manually curated collection in an online survey browser. In this poster paper, we present the updated results of analyses of this data set as of spring 2019. Compared to the recent surveys and meta-analyses that mainly focus on particular aspects and problems related to text visualization, our results provide an overview of the current state of the text visualization field and the respective research community in general.

  • 97.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Text Visualization Techniques: Taxonomy, Visual Survey, and Community Insights2015In: Proceedings of the 8th IEEE Pacific Visualization Symposium (PacificVis '15), / [ed] Shixia Liu, Gerik Scheuermann, and Shigeo Takahashi, IEEE, 2015, p. 117-121Conference paper (Refereed)
    Abstract [en]

    Text visualization has become a growing and increasingly important subfield of information visualization. Thus, it is getting harder for researchers to look for related work with specific tasks or visual metaphors in mind. In this paper, we present an interactive visual survey of text visualization techniques that can be used for the purposes of search for related work, introduction to the subfield and gaining insight into research trends. We describe the taxonomy used for categorization of text visualization techniques and compare it to approaches employed in several other surveys. Finally, we present results of analyses performed on the entries data. 

  • 98.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Paradis, Carita
    Lund University.
    Sahlgren, Magnus
    Gavagai AB.
    Methodology and Applications of Visual Stance Analysis: An Interactive Demo2016In: International Symposium on Digital Humanities, Växjö 7-8 November 2016: Book of Abstracts, Linnaeus University , 2016, p. 56-57Conference paper (Refereed)
    Abstract [en]

    Analysis of stance in textual data can reveal the attitudes of speakers, ranging from general agreement/disagreement with other speakers to fine-grained indications of wishes and emotions. The implementation of an automatic stance classifier and corresponding visualization techniques facilitates the analysis of human communication and social media texts. Furthermore, scholars in Digital Humanities could also benefit from such an approach by applying it for literature studies. For example, a researcher could explore the usage of such stance categories as certainty or prediction in a novel. Analysis of such abstract categories in longer texts would be complicated or even impossible with simpler tools such as regular expression search.

    Our research on automatic and visual stance analysis is concerned with multiple theoretical and practical challenges in linguistics, computational linguistics, and information visualization. In this interactive demo, we demonstrate our web-based visual analytics system called ALVA, which is designed to support the text data annotation and stance classifier training stages. 

    Download full text (pdf)
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  • 99.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Paradis, Carita
    Lund University.
    Sahlgren, Magnus
    Gavagai AB.
    Visual Analysis of Stance Markers in Online Social Media2014In: Poster Abstracts of IEEE VIS 2014, 2014Conference paper (Refereed)
    Abstract [en]

    Stance in human communication is a linguistic concept relating to expressions of subjectivity such as the speakers’ attitudes and emotions. Taking stance is crucial for the social construction of meaning and can be useful for many application fields such as business intelligence, security analytics, or social media monitoring. In order to process large amounts of text data for stance analyses, linguists need interactive tools to explore the textual sources as well as the results of computational linguistics techniques. Both aspects are important for refining the analyses iteratively. In this work, we present a visual analytics tool for online social media text data and corresponding time-series that can be used to investigate stance phenomena and to refine the so-called stance markers collection. 

  • 100.
    Kucher, Kostiantyn
    et al.
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Kerren, Andreas
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Paradis, Carita
    Lund University .
    Sahlgren, Magnus
    Gavagai AB.
    Visual Analysis of Text Annotations for Stance Classification with ALVA2016In: EuroVis Posters 2016 / [ed] Tobias Isenberg & Filip Sadlo, Eurographics - European Association for Computer Graphics, 2016, p. 49-51Conference paper (Refereed)
    Abstract [en]

    The automatic detection and classification of stance taking in text data using natural language processing and machine learning methods create an opportunity to gain insight about the writers’ feelings and attitudes towards their own and other people’s utterances. However, this task presents multiple challenges related to the training data collection as well as the actual classifier training. In order to facilitate the process of training a stance classifier, we propose a visual analytics approach called ALVA for text data annotation and visualization. Our approach supports the annotation process management and supplies annotators with a clean user interface for labeling utterances with several stance categories. The analysts are provided with a visualization of stance annotations which facilitates the analysis of categories used by the annotators. ALVA is already being used by our domain experts in linguistics and computational linguistics in order to improve the understanding of stance phenomena and to build a stance classifier for applications such as social media monitoring. 

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