We investigate visual attention while interacting with geo information and in spatial decision situations. Eye tracking technology is used in order to understand users, predict their behavior, and assist them in their spatial activities. We combine competences and methods from Geographic Information Science, Computer Science, and Human Computer Interaction. We currently focus on the following three application areas:
Gaze-Informed Location-Based Services (GAIN-LBS) are LBS that consider the user's gaze as one type of context information.
Gaze-based interaction with digital maps or other types of geographic information visualizations.
Improving a pilot’s spatial awareness by enhancing flight operations and pilot training with gaze-based interactions.
HoloNav. An interdisciplinary project: https://www.youtube.com/watch?v=Gzxj2bzMrBU
Read MoreLutnyk 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)
Read Morein our FRS 2-project on “Communicating Predicted Disruptions”, based in Singapore.
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