Real-time Support for Exercise Managers’ Situation Assessment and Decision Making
2012 (English)Conference paper, Presentation (Refereed)
Exercise managers and instructors have a particularly challenging task in monitoring and controlling on-going exercises, which may involve multiple response teams and organizations in highly complex and continuously evolving crisis situations. Managers and instructors must handle potentially incomplete and conflicting field-observation data and make decisions in real-time in order to control the flow of the exercise and to keep it in line with the training objectives. In simulation-based exercises, managers and instructors have access to a rich set of real-time data, with an increased potential to closely monitor the trainees’ actions, and to keep the exercise on track. To assist exercise managers and instructors, data about the on-going exercise can be filtered, aggregated and refined by real-time decision-support systems. We have developed a model and a prototype decision-support system, using stream-based reasoning to assist exercise managers and instructors in real-time. The approach takes advantage of topic maps for ontological representation and a complex-event processing engine for analyzing the data stream from a virtual-reality simulator for crisis-management training. Aggregated data is presented both on-screen, in Twitter, and in the form of topic maps.
Place, publisher, year, edition, pages
Crisis management, decision making, stream-based reasoning, complex-event processing, semantic event processing, ontologies, topic maps
IdentifiersURN: urn:nbn:se:liu:diva-80333OAI: oai:DiVA.org:liu-80333DiVA: diva2:546538
ProjectsCRISIS - Critical Incident management training System using an Interactive Simulation environmenr
FunderEU, European Research Council, FP7-242474