From Uncertain Data to Uncertainty Theory
Event date:  July 24, 2017 1:00 PM  to July 25, 2017 12:00 PM

Organized by the SFB-TRR 161

Oliver Deussen, Universität Konstanz
Daniel Weiskopf, Universität Stuttgart
Rüdiger Westermann, TU München

Many data sources are subject to inaccuracies, missing information, or other types of uncertainty. In this workshop, we want to discuss all aspects related to the visualization of such data, we want to understand different means for displaying different uncertain data types. Likewise, interaction with uncertainty visualization will be considered to address uncertainty-aware visual analytics. Is it possible to quantify the extent of perceived uncertainty transported by a visualization? What are mechanisms to specify uncertainty ranges from the user perspective? This workshop will address uncertainty in scientific visualization, information visualization, and visual analytics alike? We will also include the application perspective on uncertainty visualization.


Invited talk:

What is More Uncertain: Data, Visualization, or Insight?
Prof. Min Chen, University of Oxford

When one uses Shannon entropy to measure the uncertainty at different stages of a basic visualization process, the uncertainty typically decreases from the data alphabet, to the visualization alphabet, and further to the decision alphabet. Meanwhile, the transformation from data to visualization introduces new uncertainty (e.g., due to occlusion and omission), and that from visualization to decision introduces further uncertainty (e.g., due to perceptual errors). In this talk, the speaker will explore the paradox about the uncertainty in visualization, addressing fundamental questions such as "why may uncertain visualization be beneficial?" as well as practical questions such as "what would be the design principles for uncertainty visualization?


All SFB-TRR 161 scientists and associated researchers are invited to this workshop. We have seats for 15 participants.

This workshop is free for members of the SFB-TRR 161. For others the fee is 100 €.

Event location:  University of Konstanz