Bruna Diirr, & Marcos R. S. Borges. (2013). Applying software engineering testing techniques to evaluate emergency plans. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 758–763). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: An emergency plan is an important artifact used throughout emergencies. Therefore, it is crucial that this plan covers the different scenarios faced by emergency team and that the prescribed procedures generate the desired results. To achieve these goals, emergency plans need to be exhaustively tested prior to its adoption. Emergency teams usually use simulation to test plans, but it is an expensive approach, demanding the building of complex environments and tools to get realistic situations. To be ready to go through a simulation exercise, a plan should not have many or critical mistakes, otherwise the simulation exercise would be wasted. We present a paired approach to evaluate emergency plans before simulation exercises, by applying software engineering testing techniques: Formal technical review (FTR) and mutation testing. The expected result is a plan more ready to go through simulation, as many of the mistakes are eliminated prior to simulation.
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John M. McGuirl, Nadine B. Sarter, & David D. Woods. (2008). Seeing is believing?: The effects of real-time, image-based feedback on emergency management decision-making. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 406–414). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency management personnel often face feedback delays and a lack of reliable information. To address this problem, new information technologies have been developed that can provide real-time, image-based feedback. While potentially useful, this trend represents a fundamental shift in both the timing and format of the information used by incident commanders (ICs). Eight ICs took part in a simulation exercise to determine the potential impact of real-time imaging on their decision-making. Nearly all of the ICs failed to detect important changes in the situation that were not captured in the imaging but that were available via other, more traditional data sources. It appears that the ICs placed an inappropriately high level of trust in the imaging data, resulting in reduced data search activities and hypothesis generation. This research helps practitioners anticipate and guard against undesirable effects of introducing similar technologies on training and operational procedures.
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Nadia Saad Noori, Yan Wang, Tina Comes, Philipp Schwarz, & Heide Lukosch. (2017). Behind the Scenes of Scenario-Based Training: Understanding Scenario Design and Requirements in High-Risk and Uncertain Environments. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 948–959). Albi, France: Iscram.
Abstract: Simulation exercises as a training tool for enhancing preparedness for emergency response are widely adopted in disaster management. This paper addresses current scenario design processes, proposes an alternative approach for simulation exercises and introduces a conceptual design of an adaptive scenario generator. Our work is based on a systematic literature review and observations made during TRIPLEX-2016 exercise in Farsund, Norway. The planning process and scenario selection of simulation exercises impact directly the effectiveness of intra- and interorganizational cooperation. However, collective learning goals are rarely addressed and most simulations are focused on institution-specific learning goals. Current scenario design processes are often inflexible and begin from scratch for each exercise. In our approach, we address both individual and collective learning goals and the demand to develop scenarios on different layers of organizational learning. Further, we propose a scenario generator that partly automates the scenario selection and adaptively responds to the exercise evolvement.
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Telmo Zarraonandia, Victor A. Bañuls, Ignacio Aedo, Paloma Díaz, & Murray Turoff. (2014). A scenario-based virtual environment for supporting emergency training. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 597–601). University Park, PA: The Pennsylvania State University.
Abstract: Simulation exercises are particularly popular for training in emergency situations. Exercises can vary in their degree of realism, complexity and level of stress, but they all try to reproduce a scenario of a real emergency so that each participant simulates the actions carried out for the role they should play. They not only support effective and situated learning, but they can also serve to improve the plan by allowing the identification of weak points and potential drawbacks in it. To facilitate the design and implementation of 3D virtual environments in which training exercises can be conducted, in this paper we propose to use the Cross-Impact Analysis technique in combination with an educational game platform called GRE. We also present a Simulation Authoring Tool that allows the designer to carry out the integration of the knowledge captured by means of Cross-Impact into the game designs that GRE can interpret.
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