Grégoire Burel, Lara S. G. Piccolo, Kenny Meesters, & Harith Alani. (2017). DoRES -- A Three-tier Ontology for Modelling Crises in the Digital Age. 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. 834–845). Albi, France: Iscram.
Abstract: During emergency crises it is imperative to collect, organise, analyse and share critical information between individuals and humanitarian organisations. Although dierent models and platforms have been created for helping these particular issues, existing work tend to focus on only one or two of the previous matters. We propose the DoRES ontology for representing information sources, consolidating it into reports and then, representing event situation based on reports. Our approach is guided by the analysis of 1) the structure of a widely used situation awareness platform; 2) stakeholder interviews, and; 3) the structure of existing crisis datasets. Based on this, we extract 102 dierent competency questions that are then used for specifying and implementing the new three-tiers crisis model. We show that the model can successfully be used for mapping the 102 dierent competency questions to the classes, properties and relations of the implemented ontology.
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Norman Groner, & Charles Jennings. (2012). Describing pipeline emergency response communications using situational awareness informational requirements and an informational flow analyses. 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: The Christian Regenhard Center for Emergency Response Studies at John Jay College, CUNY, has begun work on developing best practices for hazardous material pipeline emergency response plans. The approach involves modeling a generic goal-based interagency emergency communications system using a two-step process. First, a situational awareness information requirements analysis will describe the informational requirements essential to an effective emergency response. The requirements analysis involves a goal decomposition approach where the information requirements are related to actionable decisions, goals and emergency response roles. Second, an information flow analysis will informational sources and means to provide required information. The same panel of experts will complete both analyses. Once the communications system is described, a separate Delphi group will use a failure modes and effects analysis (FMEA) to estimate the criticality of the components described in the situational awareness requirements and information flow analyses. © 2012 ISCRAM.
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Guido Te Brake, Rick Van Der Kleij, & Miranda Cornelissen. (2008). Distributed mobile teams: Effects of connectivity and map orientation on teamwork. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 642–650). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Fielded first responders are currently being equipped with support tools to improve their performance and safety. Novel information technology provides opportunities for improvement of task efficiency and situation awareness, but people can get in trouble when data networks fail. In this paper, we examine the effect of glitches in the data network on team performance and look into the strategies people use to cope with these disruptions. Teams of three responders collaborated in a search and rescue task, supported by a map showing their positions and the locations of victims. Data communication required for this support was interrupted, verbal communication remained possible. Two variants were used for the map: a north-up version and a heading-up version that was aligned with the orientation of the responder. Negative effects and changing strategies were found for the condition with interruptions, no differences were found for the two map variants.
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H. van Dijk. (2015). Situation Awareness in Crisis Situations: Development of a User Defined Operational Picture. 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 describes an effort underway to develop an operational concept and technical implementation for a User Defined Operational Picture (UDOP). The purpose of the UDOP capability is to create, visualize, and share decision-focused views of the operational environment for decision-makers to support accurate situation awareness and timely decision-making. Unlike a traditional Common Operational Picture (COP), a UDOP allows the user to select what information should be included in- or excluded from the data set defining the operational picture at the source. This paper provides an overview of the UDOP capabilities, as well as a description of the initial prototype implementation in an operational setting.
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Benjamin Herfort, João Porto De Albuquerque, Svend-Jonas Schelhorn, & Alexander Zipf. (2014). Does the spatiotemporal distribution of tweets match the spatiotemporal distribution of flood phenomena? A study about the River Elbe Flood in June 2013. 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. 747–751). University Park, PA: The Pennsylvania State University.
Abstract: In this paper we present a new approach to enhance information extraction from social media that relies upon the geographical relations between twitter data and flood phenomena. We use specific geographical features like hydrological data and digital elevation models to analyze the spatiotemporal distribution of georeferenced twitter messages. This approach is applied to examine the River Elbe Flood in Germany in June 2013. Although recent research has shown that social media platforms like Twitter can be complementary information sources for achieving situation awareness, previous work is mostly concentrated on the classification and analysis of tweets without resorting to existing data related to the disaster, e.g. catchment borders or sensor data about river levels. Our results show that our approach based on geographical relations can help to manage the high volume and velocity of social media messages and thus can be valuable for both crisis response and preventive flood monitoring.
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Jutta Hild, Jonathan Ott, Yvonne Fischer, & Christian Glökler. (2010). Markov based decision support for cost-optimal response in security management. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this contribution, we introduce a prototype of a decision support tool for cost-optimal response in security management. The threat situation of a closed infrastructure, exposed to multiple threats, and the corresponding response actions are modeled by a continuous-time Markov decision process (CMDP). Since the CMDP cannot be solved exactly for large infrastructures, the response actions are determined from a heuristic, based on an index rule. The decision support tool's user interface displays the infrastructure's current threat state and proposes the heuristic response actions to the decision maker. In this way, global situation awareness can be enhanced and the decision maker is able to initiate an almost cost-optimal response action in short time.
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Geoffrey Hoare, Mary Beth Russell, Aaron Kite-Powell, & Rick France. (2010). Developing H1N1 hospital surge dashboard indicators: A demonstration. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Developing key state-wide indicators of Florida's health care system's public health capacity during the H1N1 Pandemic has been challenging. This demonstration outlines work to develop a key indicator of patient surge caused by the H1N1 outbreak. Further work to calibrate this measure and relate it to surge in other health care organizations is outlined.
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Holzhüter, M., Huhle, G., Reuter-Oppermann, M., Hellriegel, J., & Klafft, M. (2023). Acceptance study on application systems to improve situational incident management through bi-directional communication between citizens and decision-makers in emergencies and crises situations. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 197–207). Omaha, USA: University of Nebraska at Omaha.
Abstract: Efficient hazard prevention and disaster control depend on situational awareness. Situational information is – among others – provided by citizens on the ground. Disaster managers are often reluctant to use such information on a large scale or in a systematic way for fear of being overwhelmed by information overload in a stressful crisis. New information technologies for crisis management are strongly dependent on the acceptance of the people using them and can only be successful as socio-technical systems. Therefore, 354 employees of public and private emergency operation centres as well as members of crisis management teams were asked to assess different information sharing technologies. 504 people from the public responded to an online survey about their willingness to use such technologies. The results indicate a high level of acceptance by both user groups for bi directional communication technologies for situation management and the improvement of situational awareness.
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Corine H.G. Horsch, Nanja J. J. M. Smets, Mark A. Neerincx, & Raymond H. Cuijpers. (2013). Comparing performance and situation awareness in USAR unit tasks in a virtual and real environment. 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. 556–560). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: A convenient way to test Urban Search And Rescue (USAR) robots would be in virtual environments (VEs). Evaluations in VEs are generally accepted as alternative for real scenarios. There are obvious differences between operation in a real and virtual environment. Nonetheless, the current experiment showed no significant differences in situation awareness (SA) and performance during several elementary tasks (e.g. slalom) between a virtual world and a previous experiment in reality (Mioch, Smets, & Neerincx, 2012). Only small dependencies between the unit tasks were found. The effect of individual differences (like gender, km driven per year, and gaming experience), were significant for certain elementary tasks. Testing robots in virtual environments could still be useful even if differences between VE and reality exist, since comparisons of different conditions in VE seems to have the same results as the same comparison in the field (Bishop & Rohrmann, 2003; Van Diggelen, Looije, Mioch, Neerincx, & Smets, 2012).
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Corine H.G. Horsch, Nanja J. J. M. Smets, Mark A. Neerincx, & Raymond H. Cuijpers. (2013). Revealing unexpected effects of rescue robots' team-membership in a virtual environment. 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. 627–631). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In urban search and rescue (USAR) situations resources are limited and workload is high. Robots that act as team players instead of tools could help in these situations. A Virtual Reality (VR) experiment was set up to test if team performance of a human-robot team increases when the robot act as such a team player. Three robot settings were tested ranging from the robot as a tool to the robot as a team player. Unexpectedly, team performance seemed to be the best for the tool condition. Two side-effects of increasing robot's teammembership could explain this result: Mental workload increased for the humans who had to work with the team-playing robot, whereas the tendency to share information was reduced between these humans. Future research should, thus, focus on team-memberships that improve communication and reduce cognitive workload.
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Fredrik Höglund, & Peter Berggren. (2010). Using shared priorities to measure shared situation awareness. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Shared situation awareness is hard to measure, especially in operative environments such as crisis management. In this paper the purpose is to develop a novel method to measure to what extent the team has shared situation awareness that can be used in operations. 20 two person teams participated in a study where a dynamic and evolving tactical decision-making task was solved. Shared situation awareness, shared priorities, and team performance were assessed. The results show that the shared priorities measure in this study did not relate to shared situation awareness. Several methodological concerns was identified which could have affected the results. The measure did relate to subjective ratings of cooperation which is very interesting and it is suggested that the measure captured aspects of teamwork. The shared priorities measure was easy to employ, required little preparation, and is a promising addition to team research.
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Daniel Iland, Don Voita, & Elizabeth Belding. (2013). Delay tolerant disaster communication with the One Laptop per Child XO laptop. 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. 863–867). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: In this paper, we describe the design, implementation, and evaluation of a mesh network based messaging application for the One Laptop Per Child XO laptop. We outline the creation of an easy-to-use OLPC Activity that exchanges Ushahidi-style messages with nearby OLPC users through the Internet or a mesh network. Our contributions are to implement an epidemic messaging scheme on mesh networks of OLPC XO laptops, to extend the Ushahidi web application to efficiently exchange messages with nodes in mesh networks, and to allow the Ushahidi server to distribute cures, notifications of message delivery, for each received message. Testing and analysis revealed substantial overhead is introduced by the OLPC's use of Telepathy Salut for activity sharing.
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Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Díaz, & Patrick Meier. (2013). Extracting information nuggets from disaster- Related messages in social media. 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. 791–801). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Microblogging sites such as Twitter can play a vital role in spreading information during “natural” or man-made disasters. But the volume and velocity of tweets posted during crises today tend to be extremely high, making it hard for disaster-affected communities and professional emergency responders to process the information in a timely manner. Furthermore, posts tend to vary highly in terms of their subjects and usefulness; from messages that are entirely off-topic or personal in nature, to messages containing critical information that augments situational awareness. Finding actionable information can accelerate disaster response and alleviate both property and human losses. In this paper, we describe automatic methods for extracting information from microblog posts. Specifically, we focus on extracting valuable “information nuggets”, brief, self-contained information items relevant to disaster response. Our methods leverage machine learning methods for classifying posts and information extraction. Our results, validated over one large disaster-related dataset, reveal that a careful design can yield an effective system, paving the way for more sophisticated data analysis and visualization systems.
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Yasir Javed, & Tony Norris. (2013). Computerized system to enhance situation awareness: Key challenges associated with the design, evaluation, and extension of a prototype. 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. 951–961). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Successful decision making and task execution in emergency management require appropriate levels of situation awareness (SA). This paper proposes an ontology-based model for the design of a computer-based system, Situation Aware Vigilant Emergency Reasoner (SAVER) that supports the individual, shared and team SA of managers in emergency situations. SAVER is evaluated in simulated experiments that demonstrate the improvements in SA performance. The paper provides a complete description of the SAVER design, implementation, evaluation and its proposed extension from a proof-of-concept to a production environment.
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Yasir Javed, Tony Norris, & David Johnston. (2011). Ontology-based inference to enhance team situation awareness in emergency management. 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: In this paper, we propose the use of an ontology-based and semantic technologies approach to improving shared situation awareness amongst teams dealing with emergency situations. We have also identified that shared and team situation awareness tends to be viewed only in terms of cooperative task completion and so we have tried to describe their important relationship with team decision making. The applicability of our approaches is demonstrated by a case study of mass evacuation in the case of a tsunami event. We show how ontology can be used to represent context-based situations and how the axioms and rules can improve team situation awareness.
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Yasir Javed, Tony Norris, & David Johnston. (2012). Evaluating SAVER: Measuring shared and team situation awareness of emergency decision makers. 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: Large scale emergencies are usually responded to by a team of emergency managers or a number of sub teams for safety and efficiency. Team coordination has attracted considerable research interest, especially from the cognitive, human factors, and ergonomic aspects because shared situation awareness (SSA) and team situation awareness (TSA) of team members are critical for optimal decision making. This paper describes the development of an information system (SAVER) based on SSA and TSA oriented systems design. Validation and evaluation of the implemented design show that decision performance is improved by the SAVER system. © 2012 ISCRAM.
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Jaziar Radianti, Terje Gjøsæter, & Weiqin Chen. (2021). Slaying the SA Demons – Humans vs. Technology – A Content Analysis. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 946–958). Blacksburg, VA (USA): Virginia Tech.
Abstract: In this paper, we examine Situation Awareness (SA) and the application of Endsley's Demons of SA in different contexts and research areas and perform content analysis to examine how they are used, and to what degree they are perceived as stemming from human error or weaknesses in technology and if any suggestions for mitigation are primarily focused on the human or the technology side. Based on our findings, we propose universal design as a tool that can counter the effects of the demons of SA by improving the usability and accessibility of SA-supporting technology and thereby removing barriers to SA, rather than challenging the users to overcome not only barriers that are a result of the complexity of the situation itself, but also additional barriers that are caused by inferior and suboptimal design of the technology in use.
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Miao Jiang, & William L. McGill. (2010). Human-centered sensing for crisis response and management analysis campaigns. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Human-centered sensing (HCS) is an emerging research field that leverages mobile devices carried by people to collect useful information in support of myriad analytic activities. In this paper, we explore ways in which HCS can be applied to support a variety of analytic campaigns in the context of crisis response and management (CRM). We first summarize the concept of HCS and then investigate the potential advantages of complementing traditional sensing platforms and analytic tasks with an HCS system. By recognizing the potentials of HCS, we offer a scheme for classifying HCS systems and envision three application scenarios of HCS in CRM as well as a general architecture of HCS systems.
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Jill L. Drury, Gary L. Klein, Jennifer Mathieu, Yikun Liu, & Mark Pfaff. (2013). Sympathetic decisions: Incorporating impacts on others into emergency response decision spaces. 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. 199–209). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: We designed two decision support tools and employed them during a one-week, simulation-driven experiment that included emergency responders acting in their real-life roles. Each tool visualized a “decision space”: A diagrammatic depiction of the relative desirability of one option versus another, including the inherent uncertainty in the potential outcomes. One requirement was to develop a tool accounting for the impacts of decisions on others, so that emergency responders can make “sympathetic decisions.” For example, one decision space enabled responders to request resources from surrounding jurisdictions while also considering the potential negative effects on the lending organizations. Another decision space enabled responders to engage in a strategic dialogue with the public: “listening” to the public's greatest concerns by mining social media to measure emotion, and thereby suggesting strategic communications addressing those concerns. We report how we designed the decision spaces and the qualitative results of using these spaces during the experiment.
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Joeri van Laere, & Kristens Gudfinnsson. (2022). Continuous Systematic Situation Monitoring: Pitfalls and Possibilities. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 460–468). Tarbes, France.
Abstract: Situation pictures are helpful to make sense of what is happening and to prevent further escalation. These situation pictures are typically text- or map-based and focus on the current effects of the crisis. For long-lasting transboundary crises that impact many critical infrastructures and different parts of society directly and indirectly, such situation pictures have limitations. Crisis management teams might benefit from continuous monitoring of societal performance indicators, so the current situation can easily be compared with historical and future data to reveal trends and escalations. This research project explored how a successful approach for systematic monitoring of indicators in crime prevention could be transferred to crisis management. Several pilot studies revealed nine challenging pitfalls and six promising possibilities. The findings of this study can inform future research on how continuous systematic situation monitoring can strengthen societal resilience.
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Björn J.E. Johansson, Charlotte Hellgren, Per-Anders Oskarsson, & Jonathan Svensson. (2013). Supporting situation awareness on the move – The role of technology for spatial orientation in the field. 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. 442–451). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The study presented in this paper has investigated how technology can support spatial awareness when moving in wooded terrain. By “spatial awareness”, we refer to the ability to point in the approximate direction of several objects while navigating in unknown terrain. The ability to localize objects in the terrain has importance for emergency operations, for example firefighting and search and rescue operations. A field experiment was conducted with two conditions, one with technical support and one without. The results show that technical support in terms of GPS, digital maps and electronic compass can dramatically improve the ability to accurately indicate directions to objects. Further, findings concerning use of tests on spatial orientation to predict the ability to indicate directions to objects in the terrain when having no technical support are presented.
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Kenneth Joseph, Peter M. Landwehr, & Kathleen M. Carley. (2014). An approach to selecting keywords to track on twitter during a disaster. 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. 672–676). University Park, PA: The Pennsylvania State University.
Abstract: Several studies on Twitter usage during disasters analyze tweets collected using ad-hoc keywords pre-defined by researchers. While recent efforts have worked to improve this methodology, open questions remain about which keywords can be used to uncover tweets contributing to situational awareness (SA) and the quality of tweets returned using different terms. Herein we consider a novel methodology for uncovering relevant keywords one can use to search for tweets containing situational awareness. We provide a description of the methodology and initial results which suggest our approach may lead to better keywords to use for keyword searching during disasters.
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Julien Coche, Jess Kropczynski, Aurélie Montarnal, Andrea Tapia, & Frédérick Bénaben. (2021). Actionability in a Situation Awareness world: Implications for social media processing system design. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 994–1001). Blacksburg, VA (USA): Virginia Tech.
Abstract: The field of crisis informatics now has a decade-long history of designing tools that leverage social media to support decision-makers situation awareness. Despite this history, there remains few examples of these tools adopted by practitioners. Recent fieldwork with public safety answering points and first responders has led to an awareness of the need for tools that gather actionable information, rather than situational awareness alone. This paper contributes to an ongoing discussion about these concepts by proposing a model that embeds the concept of actionable information into Endsley's model of situation awareness. We also extend the insights of this model to the design implications of future information processing systems.
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Ali Khalili-Araghi, Uwe Glässer, Hamed Yaghoubi Shahir, Brian Fisher, & Piper Jackson. (2012). Intelligent decision support for emergency responses. 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: With a coastline touching upon the Pacific and Atlantic Oceans, the Great Lakes and the Arctic Sea, the Canadian MSOCs are faced with a daunting task. They are responsible for both routine duties, including patrolling coastal areas and collecting satellite data, as well as critical missions, such as emergency response and crime intervention. Both kinds of mission require the fusion of data from a variety of sources and the orchestration of myriad heterogeneous resources over great physical distances. They must deal with uncertainty, both in terms of what can be known and also in the outcomes of actions, and must interact with an environment prone to dynamic change. We present the architecture and core mechanisms of a decision support system for marine safety and security operations (Glässer, Jackson, Araghi, When and Shahir, 2010). The goal of this system is to enhance complex command and control tasks by improving situational awareness and automating task assignments. This system concept includes adaptive information fusion techniques integrated with decentralized control mechanisms for dynamic resource configuration management and task execution management under uncertainty. Autonomously operating agents employ collaboration and coordination to collectively form an intelligent decision support system. © 2012 ISCRAM.
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Dennis J. King. (2006). VISTA-a visualization analysis tool for humanitarian situational awareness. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 11–16). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: The US Department of State's Humanitarian Information Unit (HIU) is developing a new product and web-based visualization analysis tool, known as VISTA (Visualized Information & Synthesized Temporal Analysis). VISTA displays geo-spatial, temporal, numerical/graphic data and textual information, all in one product or via a web interface. VISTA is primarily intended for use by decision-makers, analysts, desk/project officers, and others to provide up-to-date common operating picture ie a vista about an emergency, issue or project.
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