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Robin Marterer, Matthias Moi, & Rainer Koch. (2012). An architecture for distributed, event-driven systems to collect and analyze data in emergency operations and training exercises. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In order to perform serious research on reliable data from emergency operations and trainings, technological support is essential. Therefore we present an architecture for distributed, event-driven systems for the collection and analysis of data in emergency operations and trainings. The logical as well as the technical architecture will be presented. Most important design decisions, e.g. regarding extensibility, will be described. The architecture has been implemented as a system, which is composed out of a core server and distributed sensors sending data. The system is running since two years in two big European cities. © 2012 ISCRAM.
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Matthias Max, & Johannes Sautter. (2013). Analysis of a German first responder exercise: Requirements for exercise-support and simulation. 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. 923–924). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The work of first responders is marked by unpredictable situations, quick decisions and peak performance. Gathering all important information related to an emergency situation forms the basis for a meaningful and purposeful planning and action. For example during an accident scene the execution of complex individual orders is crucial. The many rescue facilities, rescue vehicles, and first responders needed lead to complex workflows. Real-life exercises are necessary to train controllers and first responders in handling these special situations, but are difficult and costly to organize. This paper gives a short overview of such an exercise and draws a rough practitioner-based vision of a potential simulation-based interactive system that could support exercise leaders and decision makers towards an effective utilization of real-life exercise data.
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Matthias Max, Sigmund Kluckner, & Susann Jentzsch. (2014). Trainings for crisis information systems in civil protection: A German perspective. 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. 518–527). University Park, PA: The Pennsylvania State University.
Abstract: Much research and technical development has been conducted to make crisis management more efficient, especially regarding crisis information systems used to streamline operations of authorities during a crisis. Experts from the German Red Cross mention that there is a need for the development and improvement of specific training methods and structures for such new crisis information systems in command and control centers. They also say that computer simulations could be a practical possibility to train crisis management and response staff. To substantiate this information, interviews were conducted with key officials in the field of German civil protection: command and control center staff, command and control center software trainers and crisis information system managers. This paper presents a qualitative study in the field of training German response personnel in crisis management information systems. The results are presented in three sections: suitable training strategies and structures, challenges and best practices for the implementation of trainings and using simulation as a training method for crisis information systems. The results contain personal experiences, opinions and known best-practices of the interview partners.
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John B. McCabe, Usha Satish, & William Grant. (2005). Training to defend: A multifaceted approach to all hazards preparedness and planning for terrorism. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 191–194). Brussels: Royal Flemish Academy of Belgium.
Abstract: In most nations, continued concern exists regarding the potential for acts of terrorism. Healthcare providers, specifically those in Emergency Medicine, will find themselves in the forefront of responding to such events. Training for Emergency Preparedness for all potential hazards is critical. Many approaches to training in individual for All Hazard Preparedness exist. The authors describe a multifaceted approach to training for All Hazards Preparedness and planning for terrorism. The approach includes classroom exercises designed specifically at understanding hazardous material threats, high fidelity patient simulation, strategic management simulation, and simulated care exercises in a non-hospital based emergency department facility. The authors believe that this multifaceted training will provide the broadest most potentially useful training and evaluation for emergency providers to ensure optimal response in times of any and all future terrorist attacks.
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David Mendonça, Yao Hu, & Qing Gu. (2007). Cognitive-level support for improvisation in emergency response. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 489–496). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Improvisation-serial and purposeful creativity, exercised under time constraint-is an intensely cognitive endeavor. Accordingly, supporting improvisation requires an understanding of the underlying cognitive processes and an identification of opportunities for support. This paper reports on the development of cognitively-grounded computer-based support for improvisation in a simulated emergency response situation. The application is a computational model which attends to traces of group decision processes, analyzes them, and attempts to achieve fit between its own intentions and those of the group. The current architecture and functioning of the model are discussed, along with an overview of the simulation platform. Current and future workin the areas of model validation and evaluation is described. The results of this work strongly suggest that model-based support for improvisation is possible, but that for the time being will be restricted to synthetic situations, of the kind often used in training exercises.
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David Mendonça, & Frank Fiedrich. (2004). Design for improvisation in computer-based emergency response systems. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 99–104). Brussels: Royal Flemish Academy of Belgium.
Abstract: This paper explores the design of training environments in which emergency response professionals can use information technologies to train for responding to unplanned-for situations. This approach – designing for improvisation – is fundamentally different than designing for plan execution. In this paper, we identify three dimensions of this difference and outline a set of research questions that are intended to lead to a better understanding of the role of improvisation in emergency response, as well as how it can be trained for and supported. Both questions are intertwined, since without a firm understanding of how improvisation occurs it is difficult to train for and support it. © Proceedings ISCRAM 2004.
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Monika Magnusson, & Lena-Maria Öberg. (2015). Crisis Training Software and User Needs ? Research Directions. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Crisis management training software is gaining researchers? as well as practitioners? interest. In order to truly support organizations it is important that such software responds to actual user needs. The aim of this study is to compare existing initiative described in research with the needs of the users and to identify possible research directions for forthcoming studies. The literature review shows that discussions on users? needs are superficial at best. The software described in research mainly focus on co-located execution of exercises, often in the form of simulations. Furthermore, a ?right or wrong? behavior is usually built-in. Empirical data from a web survey indicate that flexibility in time and space during training is a fundamental user need. This is not particularly acknowledged in earlier research. Neither is the users? wish for better support in designing exercises. We propose that system flexibility, modularity and pedagogy for computer based crisis training are urgent issues for future research.
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Monika Magnusson, Lars Nyberg, & Malin Wik. (2018). Information Systems for Disaster Management Training – Establishing User Needs with a Design Science Research Approach. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 841–850). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Societal threats such as global warming and terror attacks make crisis preparedness and crisis training a major priority in governments worldwide. Unfortunately, training is limited, partly due to complex and resource-demanding planning of traditional exercises. Several crisis training software have been developed as a complement. However, reports in research on their usage are rare, which indicates that the diffusion is limited. A potential explanation is that the systems fail to meet important needs in the organizations and/or sound information systems (IS) design principles. This paper describes the first phase of a design science research (DSR) project aiming at developing information systems for disaster management (ISDM) training, and accompanying training methods in local and regional governments. The purpose of this paper is to investigate perceived problems in current crisis training and identify opportunities for ISDM training in the application domain. Another purpose is to outline expected artifacts in the project.
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Paula Mostert, Bartel A. Van De Walle, Koen Milis, & Jan Vandijck. (2005). The role of IT in crisis management exercising, training and planning in Belgian and Dutch Companies: A survey. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 131–133). Brussels: Royal Flemish Academy of Belgium.
Abstract: We report the findings of a crisis management survey on the role of IT in the crisis exercising, training and planning activities among companies in 6 different industries in two neighbouring European countries, Belgium and the Netherlands, having at least 50 employees. The survey was sent to 1450 Dutch and 1245 Belgian companies, 245 of which were returned, resulting in a response rate of 9%. The results of the survey show that the role of IT in these activities in both countries is very limited.
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Murray Turoff, Victor A. Bañuls, Linda Plotnick, Starr Roxanne Hiltz, & Miguel Ramirez de la Huerga. (2015). Collaborative Evolution of a Dynamic Scenario Model for the Interaction of Critical Infrastructures. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper reviews current work on a model of the cascading effects of Critical Infrastructure (CI) failures during disasters. Based upon the contributions of 26 professionals, we have created a reliable model for the interaction among sixteen CIs. An internal CI model can be used as a core part of a number of larger models, each of which are tailored to a specific disaster in a specific location.
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Christine Owen, Jan Douglas, & Gregory Hickey. (2008). Information flow and teamwork in Incident Control Centers. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 742–751). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper reports research in progress into a study of information flow and teamwork in Incident Management Teams (IMTs) in Australia. The research project, funded by the Bushfire Co-operative Research Centre. The overall research design includes interviews with experienced personnel, observations of real-time incidents and training simulations and a national questionnaire of incident management practices. Data reported in this conference session will focus on a sample of observation data conducted in two training simulations of a wildfire incident. Observations were video recorded and key IMT members wore lapel microphones. Video data has been coded for use of artifacts (e.g., maps, status boards) and room movement. Audio data has been coded for by the quantity and quality of interactions within and between IMT functions. The presentation aims to contribute to an understanding of what enables and constrains effective teamwork and information flow within Incident Control Centers (ICCs) in Australia.
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Patricia Quiroz-Palma, Ma Carmen Penadés, & Ana-Gabriela Núñez. (2019). Towards a Capability Model for Emergency Training Improvement. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Giving adequate attention to training personnel within an organization to perform an activity of any kind
determines its success or failure. Training in emergency management is a key point and the participants must have
adequate preparation for each activity they carry out. The different activities in each emergency management
phase generate the appropriate training according to the role performed by stakeholders. The training is provided
through techniques and IT support tools that consolidate the knowledge imparted by the trainer. This paper
describes the initial steps in creating a capability model to support the training of stakeholders and ensure the
effectiveness of the response teams, as well as the appropriate actions of workers and citizens in an emergency.
Knowledge is consolidated through training, evaluation and feedback from practice. The proposed model is being
integrated in the QuEP framework to guide organizations in assessing and improving the management of their
emergency plans.
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Patricia Quiroz-Palma, Ma Carmen Penadés, & Ana-Gabriela Núñez. (2020). Resilience Learning for Emergency Plan Management in Organizations. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 558–567). Blacksburg, VA (USA): Virginia Tech.
Abstract: Many governments, organizations, practitioners and researchers involved in collaboration on resilience in emergency management are agreed that this is a key aspect. The QuEP+R framework aims to improve resilience in an organization's emergency plan management, in which the stakeholders must be adequately prepared and trained for their responsibilities in the emergency plan, providing techniques that propose the improvement of the emergency plan besides resilience. However, for these techniques to be effective, organizations need the theoretical resilience proposed in QuE+R to be implemented. The CiET framework was designed for this purpose and has learning objectives and training contents related to QuEP+R techniques to train stakeholders. The CiET capability plan contents have been classified by resilience dimensions towards the optimization of resilience in emergency plan management. The integration is supported by I+R-Tool, which generates the capability plans automatically from the results of the QuEP+R assessment, which outcomes in a stakeholder's effective training, contributing to the optimization and improvement of the resilience, therefore, in improving the quality of emergency plans. Hence, the aim remains to search for the continuous improvement of the emergency plan management within organizations.
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Pauline Tobergte, Alena Knispel, Lennart Landsberg, & Ompe Aimé Mudimu. (2022). Evaluation of Tabletop Exercises in Emergency Response Research and Application in the Research Project SORTIE. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 415–427). Tarbes, France.
Abstract: This paper presents the fields of application of the tabletop exercise in emergency response by explaining the method in emergency response research. The authors illustrate the tabletop exercise of the Institute for Rescue Engineering and Civil Protection (IRG) of the TH Köln in a research project on Sensor Systems for Localization of Trapped Victims in Collapsed Infrastructure (acronym: SORTIE) as an application example. Subsequently, the quantitative and qualitative evaluation methods used generally and specifically for the tabletop exercise of the research project SORTIE are considered, and the technical implementation is explained. The evaluation method used in the tabletop exercise consists of three sub-areas (participant survey; exercise observation; photo, video and audio recordings). Further, the analysis of the evaluation using statistical tools is explained. Finally, this paper refers to possible sources of error in the evaluation of tabletop exercises, such as exercise artificiality and subjectivity of the exercise observers.
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Peng Xia, Ji Ruan, & Dave Parry. (2018). Virtual Reality for Emergency Healthcare Training. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 494–503). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: Given the rising trend of natural and technological disasters in recent years, the demands for emergency responders are on the rise. One main challenge is how to cost-effectively train emergency responders. In this research, we aim to explore of the usage of Virtual Reality (VR) technology in an emergency healthcare training setting. We start with the following two research questions: (1) how to implement the VR technology to be used in the emergency healthcare training; and (2) how to evaluate the effectiveness of our implementation. To address the question (1), we construct emergency healthcare workflows from reference sources, convert them into process diagrams, and develop a VR software that allows users to carry out the processes in a virtual environment. To address question (2), we design an experiment that collect participants's personal data (features such as Age, Technical background etc.) and the performance data (such as timespan, avatar moving distance, etc.) generated during the training sessions. Ten participants were recruited and each performed three training sessions. We evaluate the data collected and have the following three conclusions: (a) despite the different personal features, the participants, after repeated trainings, can improve their performance with reduced timespan and moving distance; and (b) the technical background plays the most significant role among other features in affecting timespan in our VR-based training.
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Peng Xia, Ji Ruan, Dave Parry, Jian Yu, & Sally Britnell. (2023). Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 68–76). Palmerston North, New Zealand: Massey Unversity.
Abstract: Mass casualty incidents (MCIs) occur with natural or man-made disasters. Training emergency staff for combating MCIs is essential, but the cost can be high as such incidents rarely occur, and a physical simulation is resource-intensive. Triage is a critical task in dealing with MCIs. In this paper, we propose to use Virtual Reality (VR) and Artificial Intelligence (AI) technologies to build a low-cost, high-efficient system for MCI triage training. Our system captures more comprehensive training data and utilizes state-of-the-art AI evaluation methods.
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Peter Berggren, Mateo Herrera Velasquez, Jenny Pettersson, Oscar Henning, Henrik Lidberg, & Björn J E Johansson. (2018). Reflection in Teams for Training of Prehospital Command and Control Teams. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 203–211). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Prehospital command and control (PS) is a structure for handling medical accidents in Sweden. It includes terminology, command structure, roles, and performance indicators. The concept is taught and trained at the Centre for Teaching and Research in Disaster Medicine and Traumatology (KMC). The concept is trained using a mixture of lectures, simulation based exercises, and scenario designed by the participants. The scenarios are ran in Emergo Train System (ETS), a versatile and flexible table-top simulation platform, where medical command and control can be trained and evaluated. The purpose of this study was to develop structure for feedback and reflection by using a measure of shared understanding. The empirical study presents how the Shared Priorities instrument can be used to provide structured feedback for training. The paper is concluded with a discussion on how the empirical findings can be integrated in training prehospital medical command and control.
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Jens Pottebaum, Robin Marterer, & Steffen Schneider. (2014). Taxonomy of IT support for training emergency response & management. 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. 374–378). University Park, PA: The Pennsylvania State University.
Abstract: Training is a prerequisite for effective and efficient emergency response and management. Information technology (IT) offers high potential to support various educational methods and environments. One example for interdependent use cases is given by planning, controlling, observation and debriefing of training exercises. Dedicated IT systems are available to support these use cases; nevertheless, there is no joint understanding of system use cases, types and functionality as a fundament for scientific and technological progress. This work in progress paper presents results of literature and market research complemented by expert interviews leading to a taxonomy of relevant IT components and systems.
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Rahul Pandey, Brenda Bannan, & Hemant Purohit. (2020). CitizenHelper-training: AI-infused System for Multimodal Analytics to assist Training Exercise Debriefs at Emergency Services. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 42–53). Blacksburg, VA (USA): Virginia Tech.
Abstract: The adoption of Artificial Intelligence (AI) technologies across various real-world applications for human performance augmentation demonstrates an unprecedented opportunity for emergency management. However, the current exploration of AI technologies such as computer vision and natural language processing is highly focused on emergency response and less investigated for the preparedness and mitigation phases. The training exercises for emergency services are critical to preparing responders to perform effectively in the real-world, providing a venue to leverage AI technologies. In this paper, we demonstrate an application of AI to address the challenges in augmenting the performance of instructors or trainers in such training exercises in real-time, with the explicit aim of reducing cognitive overload in extracting relevant knowledge from the voluminous multimodal data including video recordings and IoT sensor streams. We present an AI-infused system design for multimodal stream analytics and lessons from its use during a regional training exercise for active violence events.
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Rahul Pandey, Gaurav Bahl, & Hemant Purohit. (2019). EMAssistant: A Learning Analytics System for Social and Web Data Filtering to Assist Trainees and Volunteers of Emergency Services. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: An increasing number of Machine Learning based systems are being designed to filter and visualize the relevant
information from social media and web streams for disaster management. Given the dynamic disaster events, the
notion of relevant information evolves, and thus, the active learning techniques are often considered to keep
updating the predictive models for the relevant information filtering. However, the active relevant feedback
provided by the human annotators to update the models are not validated. As a result, they can introduce
unconscious biases in the learning process of humans and can result in an inaccurate or inefficient predictive
system. Therefore, this paper describes the design and implementation of an open-source technology-based
learning analytics system ? EMAssistant ? for the emergency volunteers or practitioners – referred as the trainee, to
enhance their experiential learning cycle with the cause-effect reasoning on providing relevant feedback to the
machine learning model. This continuous integration between the cause (providing feedback) and the effect
(observing predictions from the updated model) in a visual form will likely to improve the understanding of the
trainees to provide more accurate feedback. We propose to present the system design as well as provide
hands-on exercises for the conference session.
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Amy Rankin, Rita Kovordanyi, Joris Field, & Henrik Eriksson. (2012). Instructor's tasks in crisis management training. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In crisis management exercises the instructor's performance is critical to the success of the training. It is their responsibility to monitor and evaluate the exercise, as well as appropriately adjust and adapt the scenario to the unfolding events. Despite the importance of the instructor's skills in crisis management training little has been documented regarding successful methods or common pitfalls. The study presented in this paper is exploratory and aimed at investigating how instructors monitor and control large scale crisis management exercises. The results are intended to be used as a basis for further investigation on how instructors can be supported in virtual reality training systems. A summary of results from interviews is presented and followed by observations reports from two live exercises. Finally, key areas for instructor support in virtual-reality training systems are identified. © 2012 ISCRAM.
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Christian Reuter, Volkmar Pipek, & Claudia Mueller. (2009). Computer supported collaborative training in crisis communication management. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Crisis management requires stakeholders to not only show strategic, organisational preparedness for crisis events (e.g. by systematising and professionalizing coping work), but also to develop skills to deal with unanticipated events and other stakeholders involved in the same crisis. They should not only rely on established information flows and behaviour patterns, but should be able to deal with situational aspects. This usually involves communication work within and between organisations involved in crisis management. We describe the practice of the crisis communication training of a German electricity provider and the prototype we developed, implemented and evaluated. The collaborative training tool targets not only the local practice, but aims at inter-organisational trainings that would also allow improving the mutual understanding for communication practices and information needs of other stakeholders.
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Jan Rudinsky, & Ebba Thora Hvannberg. (2013). Communication interface for virtual training of crisis management. 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. 125–134). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Since crisis management training requires extensive resources, a computer-simulated environment where communication plays a crucial role, can be an effective and efficient way to complement real-life training. With the aim of designing a simplified communication interface for a training simulator, this paper analyzes the complex communication network of crisis management, based on observations of a real-life, large-scale exercise of emergency services. Three research objectives were pursued to reach this goal. The results show that a selection of the most useful communication metaphors suggests that face-to-face and radio should be provided in a virtual environment. Consolidation of the communication groups highlights two groups, namely, the first responders and commanders. And, the analysis of the communication flow identifies different roles and the information flow between and within the groups. With this approach we aim to provide a single, multi-role interface that will be easily scalable and reconfigurable, while saving implementation costs.
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Usha Satish, & Siegfried Streufert. (2004). Training to defend: Strategic management simulations. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 157–160). Brussels: Royal Flemish Academy of Belgium.
Abstract: Terrorism is defined by a philosophy of revolutionary violence and a commitment to the destruction of government power. Of course, one way to reduce vulnerability to these impacts is heightened security. However, we must be a step ahead of terrorists: we must prevent their intended actions whenever possible. Most measures of decision-making competence focus on “content,” i.e. on “what” decision makers know, on what their thought processes are, and on whether the decisions they make are correct. However complex, volatile, ambiguous task environments involving uncertainty and delayed feedback provide challenges and generate levels of stress, which interfere with appropriate decision making. A “correct” decision may not be easily available. Many well-trained individuals will be at a loss and may make errors (e.g., because they may select the most immediately evident, yet not the most appropriate options). The use of a well-validated methodology, Strategic Management Simulations (SMS) to assess and train decision makers is presented. © Proceedings ISCRAM 2004.
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Sebastian Schmitz, Lennart Landsberg, Tim Brüstle, Johannes Weinem, & Ompe Aimé Mudimu. (2018). Evaluation of a flying localization system for the rescue of buried victims – A scenario based training approach. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 1143–1147). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: The objective of this study was to develop various scenarios for evaluating an unmanned aerial vehicle that is developed for the localization of buried people after a building collapse. To test their concept of implementing this system into the command structure of organized first response the authors plan to carry out a tabletop exercise in laboratory scale and a large-scale exercise. Scenario based training is used as methodic approach for these exercises. To develop realistic scenarios, relevant national and international organizations and their requirements have been identified. Also, the requirements of the localization system have been taken into account. Furthermore, real incidents have been analyzed and their match with the requirements has been verified. As result one national and one international scenario, based on real incidents, are developed.
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