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Kerren, Andreas, Dr.-Ing.ORCID iD iconorcid.org/0000-0002-0519-2537
Publications (10 of 146) Show all publications
Kucher, K., Martins, R. M. & Kerren, A. (2018). Analysis of VINCI 2009–2017 Proceedings. In: Karsten Klein, Yi-Na Li, and Andreas Kerren (Ed.), Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden: . Paper presented at 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden (pp. 97-101). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Analysis of VINCI 2009–2017 Proceedings
2018 (English)In: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, Association for Computing Machinery (ACM), 2018, p. 97-101Conference paper, Published paper (Refereed)
Abstract [en]

Both the metadata and the textual contents of scientific publications can provide us with insights about the development and the current state of the corresponding scientific community. In this short paper, we take a look at the proceedings of VINCI from the previous years and conduct several types of analyses. We summarize the yearly statistics about different types of publications, identify the overall authorship statistics and the most prominent contributors, and analyze the current community structure with a co-authorship network. We also apply topic modeling to identify the most prominent topics discussed in the publications. We hope that the results of our work will provide insights for the visualization community and will also be used as an overview for researchers previously unfamiliar with VINCI.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018
Keywords
meta-analysis, survey, overview, visualization, scientific literature, topic modeling
National Category
Computer Sciences Human Computer Interaction Language Technology (Computational Linguistics)
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-75857 (URN)10.1145/3231622.3231641 (DOI)978-1-4503-6501-7 (ISBN)
Conference
11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden
Available from: 2018-06-13 Created: 2018-06-13 Last updated: 2018-09-11Bibliographically approved
Kucher, K., Skeppstedt, M. & Kerren, A. (2018). Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts. In: Karsten Klein, Yi-Na Li, and Andreas Kerren (Ed.), Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18): . Paper presented at 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden (pp. 102-103). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts
2018 (English)In: Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18) / [ed] Karsten Klein, Yi-Na Li, and Andreas Kerren, Association for Computing Machinery (ACM), 2018, p. 102-103Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

The analysis of various opinions and arguments in textual data can be facilitated by automatic topic modeling methods; however, the exploration and interpretation of the resulting topics and terms may prove to be difficult to the analysts. Opinions, stances, arguments, topics, terms, and text documents are usually connected with many-to-many relationships for such tasks. Exploratory visual analysis with interactive tools can help the analysts to get an overview of the topics and opinions, identify particularly interesting documents, and describe main themes of various arguments. In our previous work, we introduced an interactive tool called Topics2Themes that was used for topic and theme analysis of vaccination-related discussion texts with a limited set of stance categories. In this poster paper, we describe an application of Topics2Themes to a different genre of data, namely, political comments from Reddit, and multiple sentiment and stance categories detected with automatic classifiers.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018
Keywords
visualization, interaction, topic modeling, argument extraction, text visualization, sentiment analysis, sentiment visualization, stance analysis, stance visualization, annotation
National Category
Computer Sciences Language Technology (Computational Linguistics) Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-75856 (URN)10.1145/3231622.3232505 (DOI)978-1-4503-6501-7 (ISBN)
Conference
11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden
Funder
Swedish Research Council, 2016-06681
Available from: 2018-06-13 Created: 2018-06-13 Last updated: 2018-09-11Bibliographically approved
Simaki, V., Panagiotis, S., Paradis, C. & Kerren, A. (2018). Detection of Stance-Related Characteristics in Social Media Text. In: Proceedings of the 10th Hellenic Conference on Artificial Intelligence (SETN '18): . Paper presented at The 10th Hellenic Conference on Artificial Intelligence (SETN '18), 9-15 July 2018, Patras, Greece. ACM Publications, Article ID 38.
Open this publication in new window or tab >>Detection of Stance-Related Characteristics in Social Media Text
2018 (English)In: Proceedings of the 10th Hellenic Conference on Artificial Intelligence (SETN '18), ACM Publications, 2018, article id 38Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a study for the identification of stance-related features in text data from social media. Based on our previous work on stance and our findings on stance patterns, we detected stance-related characteristics in a data set from Twitter and Facebook. We extracted various corpus-, quantitative- and computational-based features that proved to be significant for six stance categories (contrariety, hypotheticality, necessity, prediction, source of knowledge, and uncertainty), and we tested them in our data set. The results of a preliminary clustering method are presented and discussed as a starting point for future contributions in the field. The results of our experiments showed a strong correlation between different characteristics and stance constructions, which can lead us to a methodology for automatic stance annotation of these data.

Place, publisher, year, edition, pages
ACM Publications, 2018
Keywords
stance-taking, text clustering, feature extraction, social media text
National Category
Language Technology (Computational Linguistics)
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-71735 (URN)10.1145/3200947.3201017 (DOI)978-1-4503-6433-1 (ISBN)
Conference
The 10th Hellenic Conference on Artificial Intelligence (SETN '18), 9-15 July 2018, Patras, Greece
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-11-29Bibliographically approved
Kucher, K., Paradis, C. & Kerren, A. (2018). DoSVis: Document Stance Visualization. In: Alexandru C. Telea, Andreas Kerren, and José Braz (Ed.), Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '18): . Paper presented at International Conference on Information Visualization Theory and Applications (IVAPP), Funchal-Madeira, Portugal, 27-29 January, 2018 (pp. 168-175). SciTePress, 3
Open this publication in new window or tab >>DoSVis: Document Stance Visualization
2018 (English)In: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP '18) / [ed] Alexandru C. Telea, Andreas Kerren, and José Braz, SciTePress, 2018, Vol. 3, p. 168-175Conference paper, Published paper (Refereed)
Abstract [en]

Text visualization techniques often make use of automatic text classification methods. One of such methods is stance analysis, which is concerned with detecting various aspects of the writer’s attitude towards utterances expressed in the text. Existing text visualization approaches for stance classification results are usually adapted to textual data consisting of individual utterances or short messages, and they are often designed for social media or debate monitoring tasks. In this paper, we propose a visualization approach called DoSVis (Document Stance Visualization) that focuses instead on individual text documents of a larger length. DoSVis provides an overview of multiple stance categories detected by our classifier at the utterance level as well as a detailed text view annotated with classification results, thus supporting both distant and close reading tasks. We describe our approach by discussing several application scenarios involving business reports and works of literature. 

Place, publisher, year, edition, pages
SciTePress, 2018
Keywords
Stance Visualization, Sentiment Visualization, Text Visualization, Stance Analysis, Sentiment Analysis, Text Analytics, Information Visualization, Interaction
National Category
Computer Sciences Human Computer Interaction Language Technology (Computational Linguistics)
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-68428 (URN)10.5220/0006539101680175 (DOI)978-989-758-289-9 (ISBN)
Conference
International Conference on Information Visualization Theory and Applications (IVAPP), Funchal-Madeira, Portugal, 27-29 January, 2018
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2017-10-23 Created: 2017-10-23 Last updated: 2018-04-12Bibliographically approved
Martins, R. M. & Kerren, A. (2018). Efficient Dynamic Time Warping for Big Data Streams. In: : . Paper presented at 3rd Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management at IEEE Big Data '18, 10-13 December, 2018, Seattle, USA. IEEE
Open this publication in new window or tab >>Efficient Dynamic Time Warping for Big Data Streams
2018 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2018
Keywords
time series, dynamic time warping, streaming
National Category
Computer Sciences
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-78735 (URN)
Conference
3rd Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management at IEEE Big Data '18, 10-13 December, 2018, Seattle, USA
Note

TO BE PUBLISHED!

Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2018-12-10
Simaki, V., Paradis, C. & Kerren, A. (2018). Evaluating stance-annotated sentences from the Brexit Blog Corpus: A quantitative linguistic analysis. ICAME Journal/International Computer Archive of Modern English, 42(1), 133-166
Open this publication in new window or tab >>Evaluating stance-annotated sentences from the Brexit Blog Corpus: A quantitative linguistic analysis
2018 (English)In: ICAME Journal/International Computer Archive of Modern English, ISSN 0801-5775, E-ISSN 1502-5462, Vol. 42, no 1, p. 133-166Article in journal (Refereed) Published
Abstract [en]

This paper offers a formally driven quantitative analysis of stance-annotated sentences in the Brexit Blog Corpus (BBC). Our goal is to highlight linguistic features that determine the formal profiles of six stance categories (contrariety, hypotheticality, necessity, prediction, source of knowledge and uncertainty) in a subset of the BBC. The study has two parts: firstly, it examines a large number of formal linguistic features that occur in the sentences in order to describe the specific characteristics of each category, and secondly, it compares characteristics in the entire data set in order to determine linguistic similarities throughout the data set. We show that among the six stance categories in the corpus, contrariety and necessity are the most discriminative ones, with the former using longer sentences, more conjunctions, more repetitions and shorter forms than the sentences expressing other stances. The latter has longer lexical forms but shorter sentences, which are syntactically more complex. We show that stance in our data set is expressed in sentences with around 21 words per sentence. The sentences consist mainly of alphabetical characters forming a varied vocabulary without special forms, such as digits or special characters.

Place, publisher, year, edition, pages
De Gruyter Open, 2018
Keywords
stance-taking, corpus annotation, political blog text, statistical analysis, formal features
National Category
Language Technology (Computational Linguistics) Specific Languages
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-70768 (URN)10.1515/icame-2018-0007 (DOI)
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2018-02-12 Created: 2018-02-12 Last updated: 2018-10-17Bibliographically approved
Biedl, T. & Kerren, A. (Eds.). (2018). Graph Drawing and Network Visualization: 26th International Symposium, GD 2018, Barcelona, Spain, September 26-28, 2018, Proceedings. Paper presented at The 26th International Symposium on Graph Drawing and Network Visualization (GD '18), Barcelona, Spain, September 26-28, 2018. Springer
Open this publication in new window or tab >>Graph Drawing and Network Visualization: 26th International Symposium, GD 2018, Barcelona, Spain, September 26-28, 2018, Proceedings
2018 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

This book constitutes the refereed proceedings of the 26th International Symposium on Graph Drawing and Network Visualization, GD 2018, held in Barcelona, Spain, in September 2018. 

The 41 full papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: planarity variants; upward drawings; RAC drawings; orders; crossings; crossing angles; contact representations; specialized graphs and trees; partially fixed drawings, experiments; orthogonal drawings; realizability; and miscellaneous. The book also contains one invited talk in full paper length and the Graph Drawing contest report.

Place, publisher, year, edition, pages
Springer, 2018. p. xviii, 666
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 11282
Keywords
graph drawing, visualization, computational geometry, graph algorithms, design and analysis of algorithms, empirical studies in visualization, graphs and surfaces, engineering of network visualization algorithms and systems, geometric graph theory, cognitive studies on graph drawing readability and user interaction
National Category
Computer Sciences
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-78301 (URN)10.1007/978-3-030-04414-5 (DOI)978-3-030-04413-8 (ISBN)978-3-030-04414-5 (ISBN)
Conference
The 26th International Symposium on Graph Drawing and Network Visualization (GD '18), Barcelona, Spain, September 26-28, 2018
Available from: 2018-10-13 Created: 2018-10-13 Last updated: 2018-12-11Bibliographically approved
Büschel, W., Chen, J., Dachselt, R., Drucker, S., Dwyer, T., Görg, C., . . . Stuerzlinger, W. (2018). Interaction for Immersive Analytics. In: Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, and Bruce H. Thomas (Ed.), Immersive Analytics: (pp. 95-138). Springer
Open this publication in new window or tab >>Interaction for Immersive Analytics
Show others...
2018 (English)In: Immersive Analytics / [ed] Kim Marriott, Falk Schreiber, Tim Dwyer, Karsten Klein, Nathalie Henry Riche, Takayuki Itoh, Wolfgang Stuerzlinger, and Bruce H. Thomas, Springer, 2018, p. 95-138Chapter in book (Other academic)
Abstract [en]

In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions.

Place, publisher, year, edition, pages
Springer, 2018
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11190
Keywords
natural user interfaces, embodied interaction, post-WIMP interfaces, visual analytics, data visualization
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-78356 (URN)10.1007/978-3-030-01388-2_4 (DOI)978-3-030-01387-5 (ISBN)978-3-030-01388-2 (ISBN)
Available from: 2018-10-17 Created: 2018-10-17 Last updated: 2018-10-22Bibliographically approved
Kerren, A., Klein, K. & Li, Y.-N. (Eds.). (2018). Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18): Växjö, Sweden, August 13-15, 2018. Paper presented at The 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), Växjö, Sweden, August 13-15, 2018. Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18): Växjö, Sweden, August 13-15, 2018
2018 (English)Conference 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.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 135
Keywords
information visualization, visual analytics, visual communication, interaction, human-computer interaction, computational aesthetics
National Category
Information Systems
Research subject
Computer Science, Information and software visualization
Identifiers
urn:nbn:se:lnu:diva-77314 (URN)10.1145/3231622 (DOI)978-1-4503-6501-7 (ISBN)
Conference
The 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), Växjö, Sweden, August 13-15, 2018
Available from: 2018-08-23 Created: 2018-08-23 Last updated: 2018-09-10Bibliographically approved
Telea, A. C., Kerren, A. & Braz, J. (Eds.). (2018). Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018, Funchal, Madeira - Portugal, January 27-29, 2018: Volume 3. Paper presented at International Conference on Information Visualization Theory and Applications (IVAPP '18), Funchal, Madeira - Portugal, January 27-29, 2018. SciTePress
Open this publication in new window or tab >>Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018, Funchal, Madeira - Portugal, January 27-29, 2018: Volume 3
2018 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

This book contains the proceedings of the 13th International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) which was organized and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC), in cooperation with AFIG and Eurographics. 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 2018 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, 321 in total, with contributions 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 14 papers from GRAPP, 6 for HUCAPP, 12 papers for IVAPP, and 40 papers for VISAPP, which led to a result for the full-paper acceptance ratio of 22% and a high-quality program. Apart from the above full papers, the conference program also features 83 short papers and 68 poster presentations. We hope that these conference proceedings, which are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, INSPEC, DBLP, 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 Carol O'Sullivan (Trinity College Dublin, Ireland), Alexander Bronstein (Israel Institute of Technology,Tel Aviv University and Intel Corporation, Israel), Falk Schreiber (University of Konstanz, Germany and Monash University Melbourne, Australia) and Catherine Pelachaud (CNRS/University of Pierre and Marie Curie, France), 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 expanded into a forthcoming book of VISIGRAPP Selected Papers to be published by Springer during 2018 in the CCIS series. All papers presented at this conference will be available at the SCITEPRESS Digital Library. Two awards are delivered at the closing session, to recognize the best conference paper and the best student paper for each of the four tracks. The meeting is complemented with the Special Session on Visual Computing in Engineering Applications (VCEA) and two tutorials entitled “Visual Intelligence in Egocentric (First-Person) Vision Systems” and “Understanding Human Motion Primitives”. 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 Funchal, Madeira, Portugal. We hope to meet you again for the next edition of VISIGRAPP, details of which are available at http://www. visigrapp.org.

Place, publisher, year, edition, pages
SciTePress, 2018. p. 365
Keywords
Information Visualization
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Information and software visualization; Computer and Information Sciences Computer Science
Identifiers
urn:nbn:se:lnu:diva-69833 (URN)978-989-758-289-9 (ISBN)
Conference
International Conference on Information Visualization Theory and Applications (IVAPP '18), Funchal, Madeira - Portugal, January 27-29, 2018
Available from: 2018-01-14 Created: 2018-01-14 Last updated: 2018-04-12Bibliographically approved
Projects
Advances in the description and explanation of stance in discourse using visual and computational text analytics - StaViCTA [2012-05659_VR]; Linnaeus University; Publications
Simaki, V., Panagiotis, S., Paradis, C. & Kerren, A. (2018). Detection of Stance-Related Characteristics in Social Media Text. In: Proceedings of the 10th Hellenic Conference on Artificial Intelligence (SETN '18): . Paper presented at The 10th Hellenic Conference on Artificial Intelligence (SETN '18), 9-15 July 2018, Patras, Greece. ACM Publications, Article ID 38.
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0519-2537

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