- eyetracking@ethz.ch
- +41 44 633 71 59
Research
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 LBS
Gaze-Informed Location-Based Services (GAIN-LBS) are LBS that consider the user's gaze as one type of context information.
Gaze-Based Geographic HCI
Gaze-based interaction with digital maps or other types of geographic information visualizations.
Spatial Awareness in Aviation
Improving a pilot’s spatial awareness by enhancing flight operations and pilot training with gaze-based interactions.
News
Co-authored paper on PEGGASUS at SPIE Photonics West
A joint paper with our partners at CSEM on the eye tracking hard- and software developed in PEGGASUS was published on the SPIE digital library. We encourage you to take a deep dive into the technological achievements of PEGGASUS: “The pipeline, which is a combination of data-driven and analytics approaches, runs in real time at
Read MoreControl Room Decision-Making Lab at Singapore-ETH Centre
New lab infrastructure ready to be used for studies on decision making in control rooms.
Read MoreSuccessful finish of PEGGASUS and summary
We are happy to report that our aviation project PEGGASUS (Pilot Eye Gaze and Gesture tracking for Avionics Systems using Unobtrusive Solutions) successfully finished. We would like to thank all partners involved in the project for the extensive efforts to finish the project successfully and deliver the results despite all the Covid-related restrictions and hurdles.
Read MoreJoint Talk at the Royal Aeronautical Society Flight Simulation Conference
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)
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