Supporting Debriefing with Sensor Data: A Reflective Approach to Crisis Training

摘要

In this paper we present our exploration into the use of sensor data to promote debriefing after training events simulating work experiences. In this way we address one of the core challenges of crisis training, namely the difficulty to exploit the full potential of training events, e.g. during drills. The paper is theoretically grounded in the theory of reflective learning. The theoretical understanding is used for informing the design of WATCHiT, a wearable device for collecting sensor data during an event, and two applications for promoting debriefing in two different scenarios, CroMAR and Procedure Trainer. CroMAR supports disaster managers during in-situ debriefing after large events, while Procedure Trainer supports a team in reflecting after the simulation of a medical emergency procedure. The evaluation of the two applications shows that sensor data can be successfully used to support debriefing in both scenarios. Based on our experience, we draw lessons learned for the design of systems supporting debriefing in training events.