Lisa Fern, Stoney Trent, & Martin Voshell. (2008). A functional goal decomposition of urban firefighting. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 305–314). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we describe a functional goal decomposition of urban firefighting as part of a larger cognitive task analysis. Previous research indicates that firefighter decision strategies employ a pattern-matching technique that allows them to choose the first workable option based on similar previous experiences. This study builds upon this research by employing multiple cognitive task analysis methods to further examine firefighter decisions through a functional goal decomposition. The functional goal decomposition outlines the functions, decisions and information requirements of firefighting in terms of two overarching goals-save lives and protect property. Information requirements provide useful insight into the difficulties of firefighter decision-making. Though still in the preliminary stages, this project has generated a number of design recommendations to support urban firefighting. Future analyses are also discussed.
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Holger Fischer, & Florian Klompmaker. (2012). Enriching disaster control management based on human-centered design. 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: Hurricanes or earthquakes reveal the increasing importance of the research in disaster control management, which is essential to coordinate the amount of rescue activities. The German Federal Agency for Technical Relief is responsible for tasks like coordination, high capacity pumping and infrastructure. To support them in their management process and to improve the efficiency and the effectiveness in their workflow, we built an interactive table and established a human-centered design process to understand the context of use and to create a system out of the users' perspective. In this paper we present further scenarios as a result of the second iteration in performing human-centered design methods together with experts in the domain. We show that methods like ethnography studies, task analyses or workshops are suitable and essential in this context and arise in helpful tools that support the experts with additional information in case of decisions. © 2012 ISCRAM.
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Steven R. Haynes, Mark J. Jermusyk, & Frank E. Ritter. (2014). Utility-theoretic training for mass casualty incidents. 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. 473–482). University Park, PA: The Pennsylvania State University.
Abstract: This paper describes an approach to training emergency responders for mass casualty incidents. The approach is derived from a methodology and supporting software system called Summit. The Summit approach uses an integration of scenarios, hierarchical task analysis, interaction modeling, and expected utility theory to represent how actors engage in complex tasks; here we model mass casualty incident (MCI) activities supported by interactive technologies. Our goal is to ground MCI training in realistic scenarios and to demonstrate required response capabilities through associated hierarchical task analyses (HTA). The terminal nodes in an HTA are interactions, that provide a fine-grained model of the actors, technologies, data, and methods involved in realizing the required capability. The components of an interaction may have associated utility factors (benefits, costs, and risks) that provide learners with a rationale-based resource for understanding how different technologies are used to support MCI response efforts. Assessment of the approach is underway within a local EMS organization.
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Raj Prasanna, Lili Yang, & Malcolm King. (2009). GDIA: A cognitive task analysis protocol to capture the information requirements of emergency first responders. 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: As a partial requirement of the development of an information system for the UK fire and rescue services, this paper describes the development and application of a protocol capable of capturing the information requirements of fire and rescue first responders. After evaluating the existing techniques commonly used in difficult decision-making environments, a Goal Directed Information Analysis (GDIA) protocol is proposed. The clearly defined, repeatable steps of GDIA make it a requirements-gathering protocol which can be easily administered by an investigator without any prior knowledge or experience of the tool. This makes GDIA one of the very few information requirements-gathering protocols capable of capturing the requirements of the emergency-related domains.
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Anthony C. Robinson, Alexander Savelyev, Scott Pezanowski, & Alan M. MacEachren. (2013). Understanding the utility of geospatial information 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. 918–922). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Crisis situations generate tens of millions of social media reports, many of which contain references to geographic features and locations. Contemporary systems are now capable of mining and visualizing these location references in social media reports, but we have yet to develop a deep understanding of what end-users will expect to do with this information when attempting to achieve situational awareness. To explore this problem, we have conducted a utility and usability analysis of SensePlace2, a geovisual analytics tool designed to explore geospatial information found in Tweets. Eight users completed a task analysis and survey study using SensePlace2. Our findings reveal user expectations and key paths for solving usability and utility issues to inform the design of future visual analytics systems that incorporate geographic information from social media.
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