The 8th International EuroVis Workshop on Visual Analytics (EuroVA) has once again been a successful venue for Visual Analytics (VA) research. EuroVA was co-located with the EuroVis conference in Barcelona. The workshop stands for an open forum in which new researchers in the field and established seniors can discuss their latest contributions with a well-established audience.

Michael Sedlmair – one of the EuroVA chairs – during the opening of the EuroVA in Barcelona.

This year’s EuroVA again covered a wide range of basic VA research topics and project-driven application papers. Interestingly, 3 of the 13 workshop papers focused on event sequence analysis as their core topic. This topic is also included in the EuroVis 2017 State-of-the-Art Report on The State of the Art in Integrating Machine Learning into Visual Analytics [1] as one of the emerging application fields of VA. Many other VA-related research topics were discussed at EuroVA, including human-in-the-loop interfaces for cluster-, classifier- and subspace analysis and geo-related analysis.

The EuroVA bester paper was awarded to Martin Röhlig and his colleagues for their work on Visual Analysis of Optical Coherence Tomography Data in Ophthalmology. They presented a full-fledged VA system for the analysis of high-resolution 3D human retina scans. In their work, they show visual interactive approaches for unifying distinct data sources, data aggregation and -analysis, the comparison of complex information, as well as a structured user-guidance through the complex data spaces.

Visual Analytics interface for the structured analysis of high-resolution 3D human retina scans (Picture courtesy [3])
EuroVA 2017 also featured topics that are closely related to the SFB-TRR 161, for instance, Visual Analysis of Geo-spatial Data in 3D Terrain Environments using Focus+Context by Christian Richter and colleagues. This paper focused on the question of which level of visual glyph abstraction is meaningful for geo-related Focus+Context interfaces and how these glyph abstractions can be calculated automatically depending on the current specified focus and the associated context.

All these works show the ingredients for successful VA interfaces in which the user and the system join forces to make sense of complex data spaces.

In an inspiring keynote, Prof. Dr. Raimund Dachselt from the Interactive Media Lab, Technische Universität Dresden, Germany talked about “Natural Interaction for Enhancing Visual Analytics”. Among other things, he pointed to new and interesting research challenges that go hand in hand with Immerse Visual Analytics applications ranging from large, wall-screen sized displays, to tiny finger ring or smartwatch interfaces. Novel interaction concepts, intuitive user-friendly applications focusing on core analytic tasks and human-in-the-loop interfaces will be a necessity for these future application scenarios and will give future EuroVA workshops a solid basis for further interesting publications and inspiring discussions.

In summary, EuroVA 2017 was an great event with many interesting contributions and discussions. Many thanks go to the audience, the authors and presenters, the session chairs, the program committee, the keynote speaker, the EuroVis organizers, and specifically our sponsor SFB-TRR 161. Thanks a lot!

Next year, EuroVA will be in Brno, Czech Republic, on June 4-5, 2018. See you again in Brno for EuroVA 2018.


 

The EuroVA 2017 Organizers

Workshop Chairs: Michael Sedlmair, Christian Tominski

Publicity Chair: Michael Behrisch

 

References

[1] Endert, A., Ribarsky, W., Turkay, C., Wong, B. L., Nabney, I., Blanco, I. D., & Rossi, F. (2017, March). The state of the art in integrating machine learning into visual analytics.
In Computer Graphics Forum.

[2] Röhlig, M., Rosenthal, P., Schmidt, C., Schumann, H., & Stachs, O. Visual Analysis of Optical Coherence Tomography Data in Ophthalmology.
In 8th International EuroVis Workshop on Visual Analytics (EuroVA 2017).

[3] Richter, C., Dübel, S., Schumann. H., Visual Analysis of Geo-spatial Data in 3D Terrain Environments using Focus+Context.
In 8th International EuroVis Workshop on Visual Analytics (EuroVA 2017).

Visual Analysis Insights at EuroVA in Barcelona

Postdoctoral Research Fellow at the Harvard University, Cambridge USA. Before his time in Harvard he received his PhD from the University of Konstanz, where he was actively involved in project A03 (Quantification of Visual Analytics Transformations and Mappings) of the SFB-TRR 161. His research was focused on the quantification of visual patterns and the novel concept of pattern-driven exploration interfaces.

Tagged on:

Leave a Reply

Mit dem Eintrag in das nachstehende Feld können Sie unter Angabe eines Namens einen Kommentar hinterlassen.

Personenbezogene Daten
Sie haben die Möglichkeit die Kommentarfunktion ohne Angabe von personenbezogenen Daten unter einem Pseudonym zu nutzen.
Name - Bei dieser Angabe handelt es sich um eine Pflichtangabe. Der von Ihnen gewählte Name wird mit dem von Ihnen verfassten Kommentar veröffentlicht.
E–Mailadresse - Bitte beachten Sie, dass die Angabe Ihrer E–Mailadresse zur Nutzung der Kommentarfunktion nicht erforderlich ist. Auch im Falle einer Eingabe wird die E-Mailadresse nicht verwendet, auch nicht veröffentlicht. Bitte lassen Sie dieses Feld unausgefüllt.
Webseite - Die Angabe Ihrer Webseite ist freiwillig. Die von Ihnen angegebene Webseite wird zusammen mit Ihrem Kommentar veröffentlicht.

Nach den §§ 21, 22 LDSG haben Sie das Recht, auf Antrag unentgeltlich Auskunft über die von der Universität Stuttgart und Universität Konstanz über Sie gespeicherten Daten zu erhalten und bei unrichtig gespeicherten Daten deren Berichtigung zu verlangen (Auskunfts- und Berichtigungsrecht). Ein Auskunfts- oder Berichtigungsersuchen richten Sie bitte schriftlich an die Geschäftsstellen des SFB-TRR 161 an der Universität Stuttgart (E-Mail: sfbtrr161[at]visus.uni-stuttgart.de) bzw. der Universität Konstanz (E-Mail: sfbtrr161[at]uni-konstanz.de).