Kevin Gonyop Kim joins the team
as a postdoc in the 3D sketch maps project
In the joint talk with Gilad Scherpf of Lufthansa Group, we presented results from the PEGGASUS project and showcased how eye and gesture tracking can support the assessment of EBT competencies. (Evidence-Based Training)
“Improving resilience by communicating predicted disruptions in control rooms”
Funded by the Swiss National Science Foundation
May 25.2021 at 11:00 – 12:00 and 18:00 – 19:00 in “Posters & Demos & Videos”
May 26.2021 at 14:45 – 16.15 in Track 1: “Full Papers V”
The Expanded Flight Deck
HoloNav. An interdisciplinary project: https://www.youtube.com/watch?v=Gzxj2bzMrBU
Lutnyk L., Rudi D., Kiefer P., and Raubal M. (2020). Recognizing Pilot State: Enabling Tailored In-Flight Assistance Through Machine Learning. In Proceedings of the 1st International Conference on Cognitive Aircraft Systems (ICCAS 2020)
in our FRS 2-project on “Communicating Predicted Disruptions”, based in Singapore.
Watch the video on Vimeo!
Modeling Gaze-Guided Narratives for Outdoor Tourism
Lutnyk L., Rudi D., and Raubal M. (2020). Towards Pilot-Aware Cockpits. In Proceedings of the 1st International Workshop on Eye-Tracking in Aviation (ETAVI 2020), ETH Zurich
at the Singapore-ETH Centre
Göbel, F., Kurzhals K., Schinazi V. R., Kiefer, P., and Raubal, M. (2020). Gaze-Adaptive Lenses for Feature-Rich Information Spaces. In Proceedings of the 12th ACM Symposium on Eye Tracking Research & Applications (ETRA ’20), ACM. DOI: https://doi.org/10.1145/3379155.3391323
Fabian Göbel, Kuno Kurzhals Martin Raubal and Victor R. Schinazi (2020). Gaze-Aware Mixed-Reality: Addressing Privacy Issues with Eye Tracking.
In CHI 2020 Workshop on Exploring Potentially Abusive Ethical, Social and Political Implications of Mixed Reality in HCI (CHI 2020), ACM.
ETAVI 2020 Proceedings Online
Our paper “A View on the Viewer: Gaze-Adaptive Captions for Videos” has been accepted at ACM CHI 2020 as a full paper.
Deadline: 21 February 2020, Event: 2-5 June 2020, Stuttgart
Final project event – Enhanced flight training program for monitoring aircraft automation
New full paper published – Aviation