Robin E. Mays, Mark Zachry, Murat, A., & Mark P. Haselkorn. (2011). Aligning border security workflow and decision making with supporting information and communication 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: As part of the National Center for Border Security and Immigration (NCBSI) led by the University of Texas at El Paso (UTEP), researchers from the University of Washington, Wayne State University, and UTEP conducted a three-site study of border security operations and the role of command, control and communication (C3) systems in support of those operations. While inevitably bringing some positive capability to the environment, if C3 systems are not consciously aligned with desired practices and decision-making, the implications will not always be for the better. This is especially true of C3 systems in the border security environment because these systems are intimately intertwined with complex and critical workflow and decision-making processes, often in the context of complex and, at times, competing missions.
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Zhenke Yang, & Leon J.M. Rothkrantz. (2007). Emotion sensing for context sensitive interpretation of crisis reports. 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. 507–514). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The emotional qualities of a report play an important role in the evaluation of eye witness reports in crisis centers. Human operators in the crisis center can use the amount of anxiety and stress detected in a spoken report to rapidly estimate the possible impact and urgency of a report and the appropriate response to the reporter. This paper presents ongoing work in automated multi-modal emotion sensing of crisis reports in order to reduce the cognitive load on human operators. Our approach is based on the work procedures adopted by the crisis response center Rijnmond environmental agency (DCMR) and assumes a spoken dialogue between a reporter and a crisis control center. We use an emotion model based on conceptual graphs that is continually evaluated while the dialogue continues. We show how the model can be applied to interpret crisis report in a fictional toxic gas dispersion scenario.
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Monika Büscher, & Preben Holst Mogensen. (2007). Designing for material practices of coordinating emergency teamwork. 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. 419–429). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we describe the inspiration for, and the design of, prototype technologies that support emergency teamwork. We combine ethnographic studies of material practice, participatory design collaboration with emergency personnel, and knowledge of the potential of ubiquitous computing technologies to 'stretch' the materiality of envi-ronments, persons and equipment. A range of prototypes-products of an iterative, ethnographically informed, participatory design process-are described in a series of scenarios. We conclude with a discussion of potential benefits and challenges our experience raises for socio-technical-material innovation in emergency teamwork.
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Mirjam Merz, Valentin Bertsch, Otto Rentz, & Jutta Geldermann. (2007). Assessment of industrial asset values at risk. 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. 235–243). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In the event of natural disasters and extreme events like storms, floods and earthquakes, not only people, residential buildings and infrastructure, but also industry can be seriously affected. Direct losses to installations as well as indirect losses e.g. interruption of production can cause severe damage to companies and the economy as a whole. For a comparative and quantitative risk assessment and as a prerequisite for emergency planning and crisis management (e.g. planning of mitigation measures), a financial appraisal of industrial assets at risk is needed. This paper presents the reference installation approach which is a methodology that allows a consistent and transparent assessment of individual industrial asset values. In this bottom up approach due to the consideration of the heterogeneity of various industrial sectors, the obtained results can be depicted for a detailed spatial distribution and on a high degree of accuracy.
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Don J.M. Willems, & Louis Vuurpijl. (2007). Designing interactive maps for crisis management. 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. 159–166). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes the design, implementation, and evaluation of pen input recognition systems that are suited for so-called interactive maps. Such systems provide the possibility to enter handwriting, drawings, sketches and other modes of pen input. Typically, interactive maps are used to annotate objects or mark situations that are depicted on the display of video walls, handhelds, PDAs, or tablet PCs. Our research explores the possibility of employing interactive maps for crisis management systems, which require robust and effective communication of, e.g., the location of objects, the kind of incidents, or the indication of route alternatives. The design process described here is a mix of “best practices” for building perceptive systems, combining research in pattern recognition, human factors, and human-computer interaction. Using this approach, comprising data collection and annotation, feature extraction, and the design of domain-specific recognition technology, a decrease in error rates is achieved from 9.3% to 4.0%.
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