Monday, June 3rd

08:30 – 09:00 Registration

09:00 – 09:10 Welcome to TrustVis

(Location: Room Miragaia)

09:10 – 10:40 Session 1

(Location: Room Miragaia, Chair: Lars Linsen)

• Keynote: Trust me, I am a visualization!
  • Speaker: Marc Streit – head of the Visual Data Science group at the Institute of Computer Graphics at Johannes Kepler University Linz, Austria

10:40 – 11:10 Coffee Break

11:10 – 12:50 Session 2

(Location: Room Miragaia, Chair: Robert Kosara)

• Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization
  • Christoph Kinkeldey, Tim Korjakow, Jesse Josua Benjamin
• Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles
  • Eike Gebauer, Lars Linsen
• Detection of Confirmation and Distinction Biases in Visual Analytics Systems
  • Atilla Alpay Nalcaci, Dilara Girgin, Semih Balki, Fatih Talay, Hasan Alp Boz
• Examining the Components of Trust in Map-Based Visualizations
  • Cindy Xiong, Lace M. K. Padilla, Kent Grayson, Steven Franconeri

12:50 – 14:10 Lunch Break

14:10 – 15:50 Session 3

(Location: Hall B, Chair: Noeska Smit)

• Trust in Information Visualization
  • Eva Mayr, Nicole Hynek, Saminu Salisu, Florian Windhager
• Keynote: Trust (not only) in visualization in interdisciplinary research: Experience and lessons learned
  • Barbora Kozlíková – Head of the VisIt Lab at the Department of Visual Computing, Faculty of Informatics, Masaryk University, Czech Republic

We are very pleased to announce that Prof. Dr. Rüdiger Westermann, head of the chair for Computer Graphics and Visualization and one of the main drivers of the Visual Computing and Computer Games initiatives at Technische Universität München, Germany, has agreed to give a keynote at this year’s EuroRV³ workshop. One of the many exciting research topics that Rüdiger is working on uncertainty and Ensemble Visualization, and his keynote will be on this very topic:
“Ensemble Visualization – Visualizing the uncertainty that is represented by an ensemble of fields”.
Abstract: Each member of an ensemble simulation shows a possible occurrence of one or several physical fields, and domain experts are concerned with analyzing the uncertainty that is represented by these fields. Due to the sheer volume of such ensembles, their inherent spatial and temporal aspects, as well as the complex spatio-temporal relations between features in these fields, classical data mining and statistical analysis techniques become increasingly limited. While simple analysis tasks, like finding commonalities or differences at fixed locations in space and time, can be realized in an automated way, a meaningful and intuitive depiction of the uncertainty that is carried by an ensemble is challenging. When directional quantities and spatio-temporal relations between ensemble members have to be analyzed, the limitations of available techniques become even more severe and new approaches are required. In this talk I will shed light on the relation between ensemble and uncertainty visualization, and I will discuss a variety of visualization techniques for scalar- and vector-valued ensemble fields. This is followed by a summary of current and future challenges in ensemble visualization.
We are looking forward to hearing this exciting keynote by Rüdiger in Brno!

By popular demand, we have decided to extend the submission deadline to March 12th.
The updated dates are now:

• Paper Submission Deadline: extended to March 12th, 2018 
• Acceptance Notification: April 10th, 2018
• Camera-ready Deadline: April 20th, 2018

We look forward to receiving your submissions!

We are very happy to announce that EuroRV³, the international EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization will continue in 2018. The sixth edition will be co-located with EuroVis 2018 in Brno, Czech Republic, and take place on June 4th, 2018.
We will soon publish a call for contributions, so stay tuned and please visit our website EuroRVVV.org.

The slides from the invited talks and keynotes are now available on this password-protected page.