Records |
Author |
Jean-François Gagnon; François Couderc; Martin Rivest; Simon Banbury; Sébastien Tremblay |
Title |
Using SYnRGY to support design and validation studies of emergency management solutions |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
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Issue |
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Pages |
512-516 |
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 |
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. |
Address |
Co-DOT Laboratory, Université Laval, Canada; Thales Research and Technology, Canada; C3 Human Factors Consulting Inc., Canada |
Corporate Author |
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Thesis |
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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 |
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 |
9783923704804 |
Medium |
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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 |
Notes |
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Approved |
no |
Call Number |
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Serial |
517 |
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Author |
Jean-François Gagnon; Martin Rivest; François Couderc; Sébastien Tremblay |
Title |
Capturing the task model of experts in emergency response using SYnRGY |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
Volume |
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Issue |
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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 |
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. |
Address |
Université Laval, Canada; Thales Canada Inc., Canada |
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 |
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 |
Medium |
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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 |
Notes |
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Approved |
no |
Call Number |
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Serial |
115 |
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Author |
Mark Parent; Jean-François Gagnon; Tiago H. Falk; Sébastien Tremblay |
Title |
Modeling the Operator Functional State for Emergency Response Management |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
|
Pages |
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Keywords |
Emergency Management; Simulation; Operator Functional State; Mental Workload; Stress |
Abstract |
New technologies are available for emergency management experts to help them cope with challenges such as information overload, multitasking and fatigue. Among these technologies, a wide variety of physiological sensors can now be deployed to measure the Operator Functional State (OFS). To be truly useful, such measures should not only characterize the overall OFS, but also the specific dimensions such as stress or mental workload. This experiment aimed to (1) design a multi-dimensional model of OFS, and (2) test its application to an emergency management situation. First, physiological data of participants were collected during controlled experimental tasks. Then, a support vector classifier of mental workload and stress was trained. Finally, the resulting model was tested during an emergency management simulation. Results suggest that the model could be applied to emergency management situations, and leave the door open for its application to emergency response on the field. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3398 |
ISBN |
978-84-608-7984-19 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1337 |
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Author |
Sébastien Tremblay; Daniel Lafond; Jean-François Gagnon; Vincent Rousseau; Rego Granlund |
Title |
Extending the capabilities of the C3Fire microworld as a testing platform for research in emergency response management |
Type |
Conference Article |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
Volume |
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Issue |
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Pages |
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Keywords |
Cognitive systems; Decision support systems; Emergency services; Information systems; Emergency response; Metrics; Microworld; Research methodologies; Team cognition; Human resource management |
Abstract |
The present paper describes the C3Fire microworld and the testing capabilities it provides for research in emergency response management. We start with a general description of C3Fire and report extensions that add a new subtask (search and rescue) relevant to the context of emergency response and a vocal communication system. We then describe how various organizational structures can be designed using this task environment and several metrics of major interest for research in crisis management, related to task performance, communication, coordination effectiveness, monitoring effectiveness, recovery from interruptions, detection of critical changes, and team adaptation. The microworld constitutes a highly flexible testing platform for research in team cognition, cognitive systems engineering and decision support for crisis management. |
Address |
School of Psychology, Université Laval, Canada; Defence RandD Canada, Canada; School of Industrial Relations, Université de Montréal, Canada; Santa Anna IT Research Institute, Canada |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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 |
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Medium |
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Track |
Poster Session |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1017 |
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