Prof. Dr. Uta Hinrichs from the University of St. Andrews in Scotland visited the project group of Prof. Dr. Harald Reiterer at the University of Konstanz end of October 2017. During her stay, she held an interesting talk about ‘Visualization as a Process’ where she illustrated the benefits and drawbacks of different visualization tool paradigms on the visualization creation process and outlined how an emphasis on “process” may open up new ways of discussing the role of visualization across disciplines and contexts. After her talk she kindly was available for a short interview.
I had the chance to interview Prof. Grinstein after his talk ‘Visual Analytics: A Modern View of its Future and Research Opportunities’ at the University of Konstanz in June 2017, when he visited Prof. Daniel A. Keim and his project team within the SFB-TRR 161. In my interview he was answering questions like “Why is research in the field of computer science, data visualization and visual analytics so important?”, “What are the major risks of visualization and visual analytics in the future?”, “What do we have to teach our children to make them fit for the future world?”, or “What challenges does Georges Grinstein still have?”
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.
In July 2017 I joined the workshop Uncertainty Visualization – From Uncertain Data to Uncertainty Theory at the University of Konstanz. The aim of the workshop was to discuss the possibility to quantify the extend of perceived uncertainty transported by a visualisation.
The ChinaVis 2017 conference took place Qingdao from July 17th till July 19th and was hosted in the coastal city of Qingdao in the Shandong Provence. On July 16th, one day prior to the conference the China-Germany Visualization Workshop took place. The purpose of this workshop is to foster the collaboration between research groups in this field from China and Germany.
This year, the Nordic Conference on Computational Linguistics (NoDaLiDa) took place from 22-24th May in Gothenburg, Sweden. The 21st edition of NoDaLiDa was also the 40th anniversary of the conference which was celebrated by 184 participants from all over the world.
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.
This year’s EuroVis, one of the most important visualization conferences in Europe, as well as many co-located events took place in Barcelona, Spain. Despite outside temperatures of well beyond 30°C, the attendees enjoyed many interesting talks on the latest visualization research topics and discussed them with researchers in the field from all over the world.
In the second half of April, I had the pleasure to attend the 10th IEEE Pacific Visualization Symposium, usually called “PacificVis”, that was hosted this year by the Seoul National University in South Korea. I gave a talk at PacificVis about our Notes paper “Implicit Sphere Shadow Maps”. It presents a way to render high-quality soft shadows for particle data sets in real time.
Visualizations represent a means to communicate data and analysis results. Our research at the Chair for Data Analysis and Visualization is driven by real-world problems and intends to bring the human capabilities and perception together with computer algorithms, using visualization. Thereby, we face the key challenge of how to visually communicate data to the human. A common assumption of visualization researchers is: the more abstract a representation is, the harder it is to interpret for the human, in particular if not trained in reading visualizations.