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Author  |
Jean-François Gagnon; François Couderc; Martin Rivest; Simon Banbury; Sébastien Tremblay |

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Title |
Using SYnRGY to support design and validation studies of emergency management solutions |
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Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Pages |
512-516 |
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Keywords |
Civil defense; Decision support systems; Information systems; Iterative methods; Risk management; Decision supports; Emergency management; Emergency response; Emergency response systems; Emergency situation; Experimental control; Iterative cycles; Overall effectiveness; Disasters |
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Abstract |
Emergency management situations are highly complex and require the collaboration of multiple parties for adequate responses to incidents. The design and validation of effective emergency response systems is critical in order to improve the overall effectiveness of teams tasked to manage emergency situations. We report ongoing work whose objective is to increase the efficiency of emergency response solutions through iterative cycles of human in-the-loop simulation, modeling, and adaptation. Ultimately, this cycle could either be achieved offline for complex adaptation (e.g., development of a novel interface), or online to provide timely and accurate decision support during an emergency management event. The method is made possible by achieving a high degree of realism and experimental control through the use of an innovative emergency management simulation platform called SYnRGY.,Emergency Management, Emergency Response Systems, Simulation, System Design, Validation. |
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Address |
Co-DOT Laboratory, Université Laval, Canada; Thales Research and Technology, Canada; C3 Human Factors Consulting Inc., Canada |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
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Track |
Emergency Management Information Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
517 |
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Author  |
Jean-François Gagnon; Martin Rivest; François Couderc; Sébastien Tremblay |

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Title |
Capturing the task model of experts in emergency response using SYnRGY |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Volume |
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Pages |
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Keywords |
Information systems; Risk management; Emergency management; Emergency response; Inherent complexity; Innovative models; Measurement and simulation; Realistic environments; Team measurement; Technological tools; Emergency services |
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Abstract |
The need for better team measurement in realistic environments has been recognized as one of the key challenges that characterize the field of team work studies (Salas, Cooke, & Rosen, 2008). This challenge is particularly hard to address in the context of emergency response, due to the inherent complexity and dynamism of the domain. Emergency response is part of the emergency management cycle, and refers to the mobilization of the adequate actors and resources to mitigate the impact of an incident on the public and on the environment (Abrahamsson, Hassel, and Tehler, 2010). Emergency response often requires the cooperation of multiple agencies such as police, medical, and fire services, consequently increasing the complexity of such operations. We report of how SYnRGY – a human-centered emergency response technological tool – is embedded with extensive measurement and simulation capabilities to allow tracing of experts' task models in a silent and reliable way. We describe how these capabilities; combined with an innovative modeling technique – dynamic cognitive task modeling – can be used to extract experts' representations of the task. We discuss the importance of such a model for training, improvement of emergency response procedures and development of emergency response tools. © 2012 ISCRAM. |
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Address |
Université Laval, Canada; Thales Canada Inc., Canada |
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Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
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Track |
Poster Session |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
115 |
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