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Image: Lufthansa Aviation Training GmbH

Digital Cabin Emergency Evacuation Trainer (D-CEET)

Today, training for airline crew members takes place almost exclusively in elaborately reproduced cabin dummies and simulators, so-called CEETs (Cabin Emergency Evacuation Trainers). The aim of the D-CEET project is to fully replicate an Airbus A320 CEET as a “digital twin” based on existing aircraft and equipment specifications. The resulting data model is intended to enable fully immersive training of all relevant training content in virtual reality (VR) and additionally as a tablet-based application in accordance with the recommendations of the International Civil Aviation Organization (ICAO). In the VR environment, varied and realistic scenarios are presented with the aim of increasing training efficiency and effectiveness. At the same time, the use of equipment and the associated CO2 emissions are to be reduced.

The aim of the ETH Zurich sub-project is to validate the effectiveness of the new training concept. The overarching research question is: Does the training concept based on a digital twin achieve the previously defined competence goals to at least the same extent as conventional training concepts? Eye-tracking data and other physiological data will be used to answer this question: What conclusions can be drawn from the measurement of the cognitive load of the trainees with regard to the effectiveness of the training and the achievement of the defined competence goals? How can the simultaneous measurement of the behaviour of several trainees be used to characterise decision-making behaviour in a team? Systematic studies will be conducted with crew members who each undergo one of the training concepts. The achievement of the competence objectives is to be validated by measuring and observing behaviour as well as by measuring situational awareness and cognitive workload.

A German summary of the project is available on the BMDV website.


  • Prof. Dr. Martin Raubal (Principal Investigator)
  • Dr. Peter Kiefer (Substitute ETH Project Lead)
  • Sailin Zhong (Post-Doctoral researcher)
  • Shupeng Wang (Doctoral student)

Collaborator / Project Coordinator



  • Start Date: 01.04.2024
  • End Date: 31.03.2027