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Simone De Kleermaeker, Annette Zijderveld, & Bart Thonus. (2011). Training for crisis response with serious games based on early warning systems. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper discusses serious games developed as part of a training program developed for a Dutch crisis response group, which acts during a (potential) flooding crisis. Training in general contributes to a wide range of learning objectives and can address different target audiences. For each combination of learning objective and target audience, the proper form of education has to be selected, ranging from self-tuition to large scale multi-party training and exercises. Serious games can be a useful and educational addition to the set of existing training tools. For operational crisis response groups a high match with real-time warning systems is essential. Our approach shows how to integrate both serious games and early warning systems for effective training and exercises. We end with our lessons learned in designing serious games based on early warning systems, in the context of a training program for a crisis response group.
Keywords: Information systems; Oil well flooding; Personnel training; Crisis response; Early Warning System; Learning objectives; Serious gaming; Target audience; Training and exercise; Training program; Training tools; Floods
Michael K. Lindell. (2011). Evacuation modelling: Algorithms, assumptions, and data. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Survey researchers need to, Find out what assumptions evacuation modelers are making and collect empirical data to replace incorrect assumptions;, Obtain data on the costs of evacuation to households, businesses, and local government; and, Extend their analyses to address the logistics of evacuation and the process of re-entry. Evacuation modelers need to, Incorporate available empirical data on household evacuation behavior, and, Generate estimates of the uncertainties in their analyses. Cognitive scientists need to, Conduct experiments on hurricane tracking and evacuation decision making to better understand these processes, and, Develop training programs, information displays, and performance aids to assist local officials who have little or no previous experience in hurricane evacuation decision making.
Keywords: Algorithms; Decision making; Hurricanes; Information systems; Empirical data; Evacuation modelling; Hurricane evacuation; Information display; Local government; Training program; Uncertainty analysis
Track: Conference Keynote
Marcel Van Berlo, Richelle Van Rijk, & Eric F. T. Buiël. (2005). A PC-based virtual environment for training team decision-making in high-risk situations. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 195–200). Brussels: Royal Flemish Academy of Belgium.
Abstract: Live team training of firefighters has several disadvantages. Firstly, it is costly because many team members and training staff are involved. Secondly, not all team members have the same competency level, and some individuals may just not be ready to train in a team context. Thirdly, live training in high-risk situations is difficult and dangerous. Consequently, critical situations can not be trained adequately. Following a scenario-based and a rapid prototyping approach, we are designing and developing a pc-based virtual training environment to train individual firefighters in making decisions in a team context operating in high-risk situations. This individual training program can better prepare the firefighters for live training, enhancing the effectiveness and efficiency of these team-training exercises. In this paper we describe the training-method, we outline how this is technologically implemented and discuss how we are planning to test the prototype.
Keywords: Fire extinguishers; Information systems; Personnel training; Virtual reality; Effectiveness and efficiencies; Firefighters; High-risk situations; Making decision; Team decision-making; Team training; Training program; Virtual training environments; Risk perception
Track: TRAINING AND GAMING SYSTEMS