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Marcel Hlawatsch

Dr. rer. nat.

Visualisierungsinstitut der Universität Stuttgart (VISUS)

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Publications

Publications:

2019
1. Bruder, Valentin ; Lahmar, Houssem Ben ; Hlawatsch, Marcel ; Frey, Steffen ; Burch, Michael ; Weiskopf, Daniel ; Herschel, Melanie ; Ertl, Thomas: Volume-Based Large Dynamic Graph Analysis Supported by Evolution Provenance. In: Multimedia Tools and Applications, Multimedia Tools and Applications. Bd. 78 (2019), Nr. 23, S. 32939–32965
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  BibTeX
  @article{journals/mta/BruderLHFBWHE19, abstract = {We present an approach for the visualization and interactive analysis of dynamic graphs that contain a large number of time steps. A specific focus is put on the support of analyzing temporal aspects in the data. Central to our approach is a static, volumetric representation of the dynamic graph based on the concept of space-time cubes that we create by stacking the adjacency matrices of all time steps. The use of GPU-accelerated volume rendering techniques allows us to render this representation interactively. We identified four classes of analytics methods as being important for the analysis of large and complex graph data, which we discuss in detail: data views, aggregation and filtering, comparison, and evolution provenance. Implementations of the respective methods are presented in an integrated application, enabling interactive exploration and analysis of large graphs. We demonstrate the applicability, usefulness, and scalability of our approach by presenting two examples for analyzing dynamic graphs. Furthermore, we let visualization experts evaluate our analytics approach.}, author = {Bruder, Valentin and Lahmar, Houssem Ben and Hlawatsch, Marcel and Frey, Steffen and Burch, Michael and Weiskopf, Daniel and Herschel, Melanie and Ertl, Thomas}, doi = {10.1007/s11042-019-07878-6}, ee = {https://doi.org/10.1007/s11042-019-07878-6}, journal = {Multimedia Tools and Applications}, number = 23, pages = {32939-32965}, title = {Volume-Based Large Dynamic Graph Analysis Supported by Evolution Provenance}, url = {https://doi.org/10.1007/s11042-019-07878-6}, volume = 78, year = 2019 }
  Link
  https://doi.org/10.1007/s11042-019-07878-6
2018
1. Bruder, Valentin ; Hlawatsch, Marcel ; Frey, Steffen ; Burch, Michael ; Weiskopf, Daniel ; Ertl, Thomas: Volume-Based Large Dynamic Graph Analytics. In: Banissi, E. ; Francese, R. ; Bannatyne, M. W. McK. ; Wyeld, T. G. ; Sarfraz, M. ; Pires, J. M. ; Ursyn, A. ; Bouali, F. ; u. a. (Hrsg.) ; Banissi, E. ; Francese, R. ; Bannatyne, M. W. McK. ; Wyeld, T. G. ; Sarfraz, M. ; Pires, J. M. ; Ursyn, A. ; Bouali, F. ; u. a. (Hrsg.): Proceedings of the International Conference Information Visualisation (IV), Proceedings of the International Conference Information Visualisation (IV) : IEEE, 2018 — ISBN 978-1-5386-7202-0, S. 210–219
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  @inproceedings{conf/iv/BruderHFBWE18, abstract = {We present an approach for interactively analyzing large dynamic graphs consisting of several thousand time steps with a particular focus on temporal aspects. we employ a static representation of the time-varying graph based on the concept of space-time cubes, i.e., we create a volumetric representation of the graph by stacking the adjacency matrices of each of its time steps. To achieve an efficient analysis of complex data, we discuss three classes of analytics methods of particular importance in this context: data views, aggregation and filtering, and comparison. For these classes, we present a GPU-based implementation of respective analysis methods that enable the interactive analysis of large graphs. We demonstrate the utility as well as the scalability of our approach by presenting application examples for analyzing different time-varying data sets.}, author = {Bruder, Valentin and Hlawatsch, Marcel and Frey, Steffen and Burch, Michael and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the International Conference Information Visualisation (IV)}, crossref = {conf/iv/2018}, doi = {10.1109/iV.2018.00045}, editor = {Banissi, Ebad and Francese, Rita and Bannatyne, Mark W. McK. and Wyeld, Theodor G. and Sarfraz, Muhammad and Pires, João Moura and Ursyn, Anna and Bouali, Fatma and Datia, Nuno and Venturini, Gilles and Polese, Giuseppe and Deufemia, Vincenzo and Mascio, Tania Di and Temperini, Marco and Sciarrone, Filippo and Malandrino, Delfina and Zaccagnino, Rocco and Díaz, Paloma and Papadopoulo, Fragkiskos and Anta, Antonio Fernández and Cuzzocrea, Alfredo and Risi, Michele and Erra, Ugo and Rossano, Veronica}, ee = {http://doi.ieeecomputersociety.org/10.1109/iV.2018.00045}, isbn = {978-1-5386-7202-0}, pages = {210-219}, publisher = {IEEE}, title = {Volume-Based Large Dynamic Graph Analytics}, url = {https://ieeexplore.ieee.org/document/8564163}, year = 2018 }
  Link
  https://ieeexplore.ieee.org/document/8564163
2017
1. Krone, Michael ; Schatz, Karsten ; Hieronymus, Nora ; Müller, Christoph ; Becher, Michael ; Barthelmes, Tina ; Cooper, April ; Currle, Steffen ; u. a.: From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition. In: Proceedings of SIGRAD 2017, Proceedings of SIGRAD 2017, 2017
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  @inproceedings{krone2017sigrad, author = {Krone, Michael and Schatz, Karsten and Hieronymus, Nora and Müller, Christoph and Becher, Michael and Barthelmes, Tina and Cooper, April and Currle, Steffen and Gralka, Patrick and Hlawatsch, Marcel and Pietrzyk, Lisa and Rau, Tobias and Reina, Guido and Trefft, Rene and Ertl, Thomas}, booktitle = {Proceedings of SIGRAD 2017}, title = {From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition}, year = 2017 }
2. Burch, Michael ; Hlawatsch, Marcel ; Weiskopf, Daniel: Visualizing a Sequence of a Thousand Graphs (or Even More). In: Computer Graphics Forum, Computer Graphics Forum. Bd. 36 (2017), Nr. 3
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  @article{Burch17Eurovis, author = {Burch, Michael and Hlawatsch, Marcel and Weiskopf, Daniel}, journal = {Computer Graphics Forum}, number = 3, privnote = {uid:2384}, title = {Visualizing a Sequence of a Thousand Graphs (or Even More)}, url = {http://dx.doi.org/10.1111/cgf.13185}, volume = 36, year = 2017 }
  Link
  http://dx.doi.org/10.1111/cgf.13185
3. Netzel, Rudolf ; Hlawatsch, Marcel ; Burch, Michael ; Balakrishnan, Sanjeev ; Schmauder, Hansjörg ; Weiskopf, Daniel: An Evaluation of Visual Search Support in Maps. In: IEEE (Hrsg.) IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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  @article{cee19e8b01594f79a9b592fbfcb1db2d, author = {Netzel, Rudolf and Hlawatsch, Marcel and Burch, Michael and Balakrishnan, Sanjeev and Schmauder, Hansjörg and Weiskopf, Daniel}, editor = {IEEE}, journal = { IEEE Transactions on Visualization and Computer Graphics}, number = 1, privnote = {uid:2327}, title = {An Evaluation of Visual Search Support in Maps}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598898}, volume = 23, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2016.2598898
4. Kurzhals, Kuno ; Hlawatsch, Marcel ; Seeger, Christof ; Weiskopf, Daniel: Visual Analytics for Mobile Eye Tracking. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 23 (2017), Nr. 1
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  @article{91efa54ef17f4bbab662f394a586520f, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Seeger, Christof and Weiskopf, Daniel}, journal = { IEEE Transactions on Visualization and Computer Graphics}, number = 1, privnote = {uid:2382}, title = {Visual Analytics for Mobile Eye Tracking}, url = {http://dx.doi.org/10.1109/TVCG.2016.2598695}, volume = 23, year = 2017 }
  Link
  http://dx.doi.org/10.1109/TVCG.2016.2598695
2016
1. Kurzhals, Kuno ; Hlawatsch, Marcel ; Burch, Michael ; Weiskopf, Daniel: Fixation-Image Charts. In: ACM (Hrsg.) ; ACM (Hrsg.): Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA). Bd. 1 : ACM, 2016, S. 11–18
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  @inproceedings{fa59d5154950416f95cd24068d77e555, abstract = {We facilitate the comparative visual analysis of eye tracking data from multiple participants with a visualization that represents the temporal changes of viewing behavior. Common approaches to visually analyze eye tracking data either occlude or ignore the underlying visual stimulus, impairing the interpretation of displayed measures. We introduce fixation-image charts: a new technique to display the temporal changes of fixations in the context of the stimulus without visual overlap between participants. Fixation durations, the distance and direction of saccades between consecutive fixations, as well as the stimulus context can be interpreted in one visual representation. Our technique is not limited to static stimuli, but can be applied to dynamic stimuli as well. Using fixation metrics and the visual similarity of stimulus regions, we complement our visualization technique with an interactive filter concept that allows for the identification of interesting fixation sequences without the time-consuming annotation of areas of interest. We demonstrate how our technique can be applied to different types of stimuli to perform a range of analysis tasks. Furthermore, we discuss advantages and shortcomings derived from a preliminary user study.}, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Burch, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA)}, editor = {ACM}, pages = {11-18}, publisher = {ACM}, title = {Fixation-Image Charts}, url = {http://dx.doi.org/10.1145/2857491.2857507}, volume = 1, year = 2016 }
  Link
  http://dx.doi.org/10.1145/2857491.2857507
2. Kurzhals, Kuno ; Hlawatsch, Marcel ; Heimerl, Florian ; Burch, Michael ; Ertl, Thomas ; Weiskopf, Daniel: Gaze Stripes: Image-based Visualization of Eye Tracking Data. In: IEEE (Hrsg.) IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 22 (2016), Nr. 1, S. 1005–1014
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  @article{5b12d7ad277a4f55bcd6bd7f5dea5c72, abstract = {We present a new visualization approach for displaying eye tracking data from multiple participants. We aim to show the spatio-temporal data of the gaze points in the context of the underlying image or video stimulus without occlusion. Our technique, denoted as gaze stripes, does not require the explicit definition of areas of interest but directly uses the image data around the gaze points, similar to thumbnails for images. A gaze stripe consists of a sequence of such gaze point images, oriented along a horizontal timeline. By displaying multiple aligned gaze stripes, it is possible to analyze and compare the viewing behavior of the participants over time. Since the analysis is carried out directly on the image data, expensive post-processing or manual annotation are not required. Therefore, not only patterns and outliers in the participants' scanpaths can be detected, but the context of the stimulus is available as well. Furthermore, our approach is especially well suited for dynamic stimuli due to the non-aggregated temporal mapping. Complementary views, i.e., markers, notes, screenshots, histograms, and results from automatic clustering, can be added to the visualization to display analysis results. We illustrate the usefulness of our technique on static and dynamic stimuli. Furthermore, we discuss the limitations and scalability of our approach in comparison to established visualization techniques.}, author = {Kurzhals, Kuno and Hlawatsch, Marcel and Heimerl, Florian and Burch, Michael and Ertl, Thomas and Weiskopf, Daniel}, doi = {10.1109/TVCG.2015.2468091}, editor = {IEEE}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 1, pages = {1005-1014}, title = {Gaze Stripes: Image-based Visualization of Eye Tracking Data}, url = {http://dx.doi.org/10.1109/TVCG.2015.2468091}, volume = 22, year = 2016 }
  Link
  http://dx.doi.org/10.1109/TVCG.2015.2468091
3. Herschel, Melanie ; Hlawatsch, Marcel: Provenance: On and Behind the Screens. In: Özcan, F. ; Koutrika, G. ; Madden, S. (Hrsg.) ; Özcan, F. ; Koutrika, G. ; Madden, S. (Hrsg.): Proceedings of the ACM International Conference on the Management of Data (SIGMOD), Proceedings of the ACM International Conference on the Management of Data (SIGMOD) : ACM, 2016, S. 2213–2217
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  @inproceedings{conf/sigmod/HerschelH16, abstract = {Collecting and processing provenance, i.e., information describing the production process of some end product, is important in various applications, e.g., to assess quality, to ensure reproducibility, or to reinforce trust in the end product. In the past, different types of provenance meta-data have been proposed, each with a different scope. The first part of the proposed tutorial provides an overview and comparison of these different types of provenance. To put provenance to good use, it is essential to be able to interact with and present provenance data in a user-friendly way. Often, users interested in provenance are not necessarily experts in databases or query languages, as they are typically domain experts of the product and production process for which provenance is collected (biologists, journalists, etc.). Furthermore, in some scenarios, it is difficult to use solely queries for analyzing and exploring provenance data. The second part of this tutorial therefore focuses on enabling users to leverage provenance through adapted visualizations. To this end, we will present some fundamental concepts of visualization before we discuss possible visualizations for provenance.}, author = {Herschel, Melanie and Hlawatsch, Marcel}, booktitle = {Proceedings of the ACM International Conference on the Management of Data (SIGMOD)}, doi = {10.1145/2882903.2912568}, editor = {Özcan, Fatma and Koutrika, Georgia and Madden, Sam}, pages = {2213-2217}, publisher = {ACM}, title = {Provenance: On and Behind the Screens}, url = {https://doi.org/10.1145/2882903.2912568}, year = 2016 }
  Link
  https://doi.org/10.1145/2882903.2912568
4. Schulz, Christoph ; Nocaj, Arlind ; El-Assady, Mennatallah ; Frey, Steffen ; Hlawatsch, Marcel ; Hund, Michael ; Karch, Grzegorz Karol ; Netzel, Rudolf ; u. a.: Generative Data Models for Validation and Evaluation of Visualization Techniques. In: ACM (Hrsg.) ; ACM (Hrsg.): BELIV ’16: Beyond Time And Errors: Novel Evaluation Methods For Visualization, BELIV ’16: Beyond Time And Errors: Novel Evaluation Methods For Visualization, 2016
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  @inproceedings{2016SchulzGenerativeDataModels, author = {Schulz, Christoph and Nocaj, Arlind and El-Assady, Mennatallah and Frey, Steffen and Hlawatsch, Marcel and Hund, Michael and Karch, Grzegorz Karol and Netzel, Rudolf and Schätzle, Christin and Butt, Miriam and Keim, Daniel A. and Ertl, Thomas and Brandes, Ulrik and Weiskopf, Daniel}, booktitle = {BELIV '16: Beyond Time And Errors: Novel Evaluation Methods For Visualization}, editor = {ACM}, privnote = {uid:2282}, title = {Generative Data Models for Validation and Evaluation of Visualization Techniques}, url = {http://dx.doi.org/10.1145/2993901.2993907}, year = 2016 }
  Link
  http://dx.doi.org/10.1145/2993901.2993907
2015
1. Hlawatsch, Marcel: Visualization for Integrated Simulation Systems, Universität Stuttgart, 2015
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  @phdthesis{hlawatschdiss2015, author = {Hlawatsch, Marcel}, privnote = {uid:2218}, school = {Universität Stuttgart}, title = {Visualization for Integrated Simulation Systems}, year = 2015 }
2. Hlawatsch, Marcel ; Burch, Michael ; Weiskopf, Daniel: Visual Analysis of Eye Movements by Hierarchical Filter Wheels. In: Proceedings of the International Conference on Information Visualisation (IV), Proceedings of the International Conference on Information Visualisation (IV), 2015
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  @inproceedings{a4902e295e7e4cec9834d86b1857615e, author = {Hlawatsch, Marcel and Burch, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the International Conference on Information Visualisation (IV)}, privnote = {uid:2067}, title = {Visual Analysis of Eye Movements by Hierarchical Filter Wheels}, url = {http://dx.doi.org/10.1109/iV.2015.29}, year = 2015 }
  Link
  http://dx.doi.org/10.1109/iV.2015.29
3. Hlawatsch, Marcel ; Burch, Michael ; Beck, Fabian ; Freire, Juliana ; Silva, Claudio ; Weiskopf, Daniel: Visualizing the Evolution of Module Workflows. In: Proceedings of the International Conference on Information Visualisation (IV), Proceedings of the International Conference on Information Visualisation (IV), 2015
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  @inproceedings{fd96f53909b043ee8ade2f3c07610c46, author = {Hlawatsch, Marcel and Burch, Michael and Beck, Fabian and Freire, Juliana and Silva, Claudio and Weiskopf, Daniel}, booktitle = {Proceedings of the International Conference on Information Visualisation (IV)}, privnote = {uid:2066}, title = {Visualizing the Evolution of Module Workflows}, url = {http://dx.doi.org/10.1109/iV.2015.19}, year = 2015 }
  Link
  http://dx.doi.org/10.1109/iV.2015.19
2014
1. Hlawatsch, Marcel ; Burch, Michael ; Weiskopf, Daniel: Bubble Hierarchies. In: Proceedings of the Workshop on Computational Aesthetics, Proceedings of the Workshop on Computational Aesthetics, 2014
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  @inproceedings{493f9e56b24d45b78634b3b632615f2e, author = {Hlawatsch, Marcel and Burch, Michael and Weiskopf, Daniel}, booktitle = {Proceedings of the Workshop on Computational Aesthetics}, privnote = {uid:1927}, title = {Bubble Hierarchies}, url = {http://dx.doi.org/10.1145/2630099.2630107}, year = 2014 }
  Link
  http://dx.doi.org/10.1145/2630099.2630107
2. Hlawatsch, Marcel ; Burch, Michael ; Weiskopf, Daniel: Visual Adjacency Lists for Dynamic Graphs. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 20 (2014), Nr. 11
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  @article{07664d998c0f4c1b947fe2cdf5430158, author = {Hlawatsch, Marcel and Burch, Michael and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 11, privnote = {uid:1918}, title = {Visual Adjacency Lists for Dynamic Graphs}, url = {http://dx.doi.org/10.1109/TVCG.2014.2322594}, volume = 20, year = 2014 }
  Link
  http://dx.doi.org/10.1109/TVCG.2014.2322594
3. Hlawatsch, Marcel ; Sadlo, Filip ; Jang, Hajun ; Weiskopf, Daniel: Pathline Glyphs. In: Computer Graphics Forum, Computer Graphics Forum. Bd. 33 (2014), Nr. 2
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  @article{88c06dabfa604b79ac3e2502cf2c464e, author = {Hlawatsch, Marcel and Sadlo, Filip and Jang, Hajun and Weiskopf, Daniel}, journal = {Computer Graphics Forum}, number = 2, privnote = {uid:1816}, title = {Pathline Glyphs}, url = {http://dx.doi.org/10.1111/cgf.12335}, volume = 33, year = 2014 }
  Link
  http://dx.doi.org/10.1111/cgf.12335
2013
1. Hlawatsch, Marcel ; Sadlo, Filip ; Weiskopf, Daniel: Predictability-Based Adaptive Mouse Interaction and Zooming for Visual Flow Exploration. In: International Journal for Uncertainty Quantification, International Journal for Uncertainty Quantification. Bd. 3, Begell House (2013), Nr. 3
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  @article{6ee8a011b0ce41f9a4278cb7ed210827, author = {Hlawatsch, Marcel and Sadlo, Filip and Weiskopf, Daniel}, journal = {International Journal for Uncertainty Quantification}, number = 3, privnote = {uid:1539}, publisher = {Begell House}, title = {Predictability-Based Adaptive Mouse Interaction and Zooming for Visual Flow Exploration.}, url = {http://dx.doi.org/10.1615/Int.J.UncertaintyQuantification.2012003943}, volume = 3, year = 2013 }
  Link
  http://dx.doi.org/10.1615/Int.J.UncertaintyQuantification.2012003943
2. Hlawatsch, Marcel ; Sadlo, Filip ; Burch, Michael ; Weiskopf, Daniel: Scale-Stack Bar Charts. In: Computer Graphics Forum, Computer Graphics Forum. Bd. 32 (2013), Nr. 3
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  @article{c7d4145b8a4b43859b6c6c0b05f254f5, author = {Hlawatsch, Marcel and Sadlo, Filip and Burch, Michael and Weiskopf, Daniel}, journal = {Computer Graphics Forum}, number = 3, privnote = {uid:1685}, title = {Scale-Stack Bar Charts}, url = {http://dx.doi.org/10.1111/cgf.12105}, volume = 32, year = 2013 }
  Link
  http://dx.doi.org/10.1111/cgf.12105
2011
1. Hlawatsch, Marcel ; Vollrath, Joachim Ernst ; Sadlo, Filip ; Weiskopf, Daniel: Coherent Structures of Characteristic Curves in Symmetric Second Order Tensor Fields. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 17 (2011), Nr. 6
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  @article{TVCG2011HlawatschTensor, author = {Hlawatsch, Marcel and Vollrath, Joachim Ernst and Sadlo, Filip and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 6, privnote = {uid:873}, title = {Coherent Structures of Characteristic Curves in Symmetric Second Order Tensor Fields}, url = {http://dx.doi.org/10.1109/TVCG.2010.107}, volume = 17, year = 2011 }
  Link
  http://dx.doi.org/10.1109/TVCG.2010.107
2. Hlawatsch, Marcel ; Sadlo, Filip ; Weiskopf, Daniel: Hierarchical Line Integration. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 17 (2011), Nr. 8
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  @article{265c919445b64a69be775a4c327ccc52, author = {Hlawatsch, Marcel and Sadlo, Filip and Weiskopf, Daniel}, journal = { IEEE Transactions on Visualization and Computer Graphics}, number = 8, privnote = {uid:875}, title = {Hierarchical Line Integration}, url = {http://dx.doi.org/10.1109/TVCG.2010.227}, volume = 17, year = 2011 }
  Link
  http://dx.doi.org/10.1109/TVCG.2010.227
3. Hlawatsch, Marcel ; Leube, Philipp ; Nowak, Wolfgang ; Weiskopf, Daniel: Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. Bd. 17 (2011), Nr. 12
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  @article{4c51e75931ed4dc8ad7fc1e6ffb78fae, author = {Hlawatsch, Marcel and Leube, Philipp and Nowak, Wolfgang and Weiskopf, Daniel}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = 12, privnote = {uid:1223}, title = {Flow Radar Glyphs - Static Visualization of Unsteady Flow with Uncertainty}, url = {http://dx.doi.org/10.1109/TVCG.2011.203}, volume = 17, year = 2011 }
  Link
  http://dx.doi.org/10.1109/TVCG.2011.203

Marcel Hlawatsch

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