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Real-time decision making in urgent events: Modeling options for action
Louise K. Comfort
author
Brian Colella
author
Mark Voortman
author
Scott Connelly
author
Jill L. Drury
author
Gary L. Klein
author
Wukich
author
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
English
Decision making in extreme events presents a difficult challenge to emergency managers who are legally responsible for protecting life, property, and maintaining continuity of operations for their respective organizations or communities. Prior research has identified the benefits of gaining situation awareness in rapidly changing disaster contexts, but situation awareness is not always sufficient. We have investigated "option awareness" and the decision space to provide cognitive support for emergency managers to simulate computationally possible outcomes of different options before they make a decision. Employing a user-centered design process, we developed a computational model that rapidly generates ranges of likely outcomes for different options and displays them visually through a prototype decision-space interface that allows rapid comparison of the options. Feedback from emergency managers suggests that decision spaces may enable emergency managers to consider a wider range of options for decisions and may facilitate more targeted, effective decision making under uncertain conditions.
Information systems
Managers
Bayesian model
Decision space
Emergency response
Option awareness
Situation awareness
Decision making
exported from refbase (http://idl.iscram.org/show.php?record=411), last updated on Thu, 31 Mar 2016 06:36:18 +0200
text
http://idl.iscram.org/files/comfort/2013/411_Comfort_etal2013.pdf
LouiseK.Comfort_etal2013
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2013
T. Comes
F
Fiedrich
editor
10th International ISCRAM Conference on Information Systems for Crisis Response and Management
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
conference publication
571
580
9783923704804
2411-3387
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