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
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 €.