We presented an approach for uncertainty visualization of proteins at the 11th IEEE Pacific Visualization Symposium in Kōbe, Japan. In some application areas such as medical visualization or weather forecasting, uncertainty is nowadays often illustrated to enable a more informed visual analysis. However, molecular visualization rarely incorporates uncertainty, although it is present in the data.
Every year in autumn, researchers and practitioners from academia, government, and industry come together at IEEE VIS to explore their shared interests in tools, techniques, and technology. Among them, there was also a group of visual computing researchers from the Universities of Stuttgart and Konstanz. They visited this scientific meeting to present their newest insights and developments in the field of Visual Computing. In this blog post you find a list of the their publications presented to the international community.
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.
In cooperation with the Robert Bosch Krankenhaus (RBK) in Stuttgart (Germany), we have analyzed eye-head coordination while walking in healthy participants and patients with neurodegenerative diseases. Proper coordination is essential for body balance and thus health. Injuries and other consequences from keeling over can impair quality of life massively. Often, old people never get on their feet again when breaking a leg or hip.
During this winter, I spent the last three months at the Data Analysis and Visualization Group led by Prof. Dr. Daniel Keim at the University of Konstanz. During this stay I had the opportunity to meet many researchers who work in visualization and visual analytics in multiple domains and pursue my research work.
Kuno Kurzhals is a visualization scientist at the Visualization Research Center of the University of Stuttgart (VISUS) with special focus on video visualization and evaluation methods in combination with eye tracking. His research is associated with the SFB-TRR 161 where scientists whant to establish quantification as a key ingredient of visual computing research. In this video interview he talks about the challenges and aims of his activities and explains some of his visualization results.
Our last post was about presentations at IEEE VIS 2016 in Baltimore. Apart from the already mentioned publications, there were more presentations by SFB-TRR 161 scientists at the conference.
I am working on the diachrony of case and word order in Indo-European languages. More precisely, I am conducting a corpus linguistic and visual analytic study of dative subjects in Icelandic. During my work I noticed, that I need more knowledge about Icelandic in order to fully understand and cope with the erroneous annotations in Icelandic Parsed Historical Corpus and to improve the qualitative part of the data analysis. In August I attended a three weeks Icelandic summer school, including an intensive language course at the University of the Westfjords in Ísafjörður, Iceland.
This year’s 21st Symposium on Vision, Modelling and Visualization (VMV) was hosted by the University of Bayreuth. International scientists presented their newest research in various sessions related to Visual Computing. Dr. Fabian Beck, member of the Visualization Research Center of the University of Stuttgart (VISUS) and associated to SFB-TRR 161, presented his interesting work on a matrix-based visual comparison of time series sports data. As part of the VMV 2016, the SFB-TRR 161 co-organized a workshop session titled “Quantification – useful and needed?”. Three leading german researchers of the visual computing community were invited to present their take on the role of quanitification in their respective fields of expertise.
Nowadays a big vision of the automotive industry is autonomous driving. Since Google’s introduction of autonomously driving cars, car manufacturers, their suppliers, but also IT companies and the scientific community are excited about the upcoming revolution of transportation. The biggest advantages of autonomous driving are a higher driving comfort, and assumed the driving systems work reliably, a better driving safety. But there are many issues that have to be resolved until autonomous driving can be fully realized.