Group information foraging in emergency response: an illustration incorporating discrete-event simulation
Authors: 
Qing Gu, David MendonçaAuthors Info & Claims
Qing Gu, David MendonçaAuthors Info & ClaimsAbstract
Large-scale emergencies require groups of response personnel to seek and handle information from an evolving range of sources in order to meet an evolving set of goals, often under conditions of high risk. Because emergencies induce time constraint, efforts spent on planning activities reduce the time available for execution activities. This paper discusses the design and implementation of a discreteevent simulation system used for assessing how risk and time constraint can impact group information seeking and handling (i.e., foraging) during emergency response. A demonstration is given of how system parameters may be tuned in order to manipulate risk, time constraint, distribution of information and resources available for response. The results of a pilot test of the implemented system are briefly discussed. Finally, ongoing extensions of this simulation are discussed.
References
[1]
Benson, L. I., M. Groth, and L. Beach. 1998. The relationship between time constraint and time pressure. Proceedings of the Fourth AIS Americas Conference on Information Systems, August 14--16, Baltimore, Maryland, 243--244.
[2]
Borgatti, S. P. and R. Cross. 2003. A relational view of information seeking and learning in social networks. Management Science, 49(4), 432--445.
[3]
Ellis, D., D. Cox, and K. Hall. 1993. A comparison of the information seeking patterns of researchers in the physical and social sciences. Journal of Documentation, 49(4), 356--369.
[4]
Harrald, J. R., H. S. Marcus, and W. A. Wallace. 1990. The EXXON Valdez: an assessment of crisis prevention and management systems. Interfaces, 20(5), 14--30.
[5]
Langewiesche, W. 2002. American Ground: Unbuilding the World Trade Center. North Point Press.
[6]
Mendonça, D., G. E. G. Beroggi, and W. Wallace. 2001. Decision support for improvisation during emergency response operations. International journal of emergency management, 1(1), 30--38.
[7]
Mendonça, D. forthcoming. Decision support for improvisation in response to extreme events. Decision Support Systems.
[8]
Mendonça, D., G. E. G. Beroggi, D. V. Gent, and W. A. Wallace. forthcoming. Designing Gaming simulations for the assessment of group decision support systems in emergency response. Safety Science.
[9]
Mendonça, D. and W. A. Wallace. forthcoming. A cognitive model of improvisation in emergency management. IEEE Transaction on Systems, Man and Cybernetics (Part A).
[10]
Mendonça, D. and F. Fiedrich. forthcoming. Training for Improvisation in emergency management: opportunities and limits for information technology. International Journal of Emergency Management.
[11]
Ordonez, L. and L. Benson. 1997. Decisions under time pressure: how time constraint affects risky decision making. Organizational Behavior and Human Decision Processes, 71(2), 121--140.
[12]
Pirolli, P. and S. K. Card. 1999. Information foraging. Psychological Review, 106(4), 643--675.
[13]
Stasser, G. and W. Titus. 1987. Effects of information load and percentage of shared information on the dissemination of unshared information during group discussion. Journal of Personality and Social Psychology, 53, 81--93.
[14]
Stasser, G., L. A. Taylor, and C. Hanna. 1989. Information sampling in structured and unstructured discussions of three- and six-person groups. Journal of Personality and Social Psychology, 57, 67--78.
[15]
Stasser, G., S. I. Vaughan, and D. D. Stewart. 2000. Pooling unshared information: The benefits of knowing how access to information is distributed among members. Organizational Behavior and Human Decision Processes, 82(1), 102--116.
[16]
Stewart, T. R. and A. Bostrom. 2002. Extreme Event decision making: workshop report. University at Albany, Albany, NY, June.
[17]
Weick, K. E. 1993. The collapse of sensemaking in organizations: the Mann Gulch Disaster. Administrative Science Quarterly, 38(4), 628--652.
[18]
Weick, K. E. 1995. South Canyon revisited: lessons from high reliability organizations. Wildfire, 4(4), 54--68.
[19]
Wilson, T. D. 2000. Human information behavior. Information Science, 3(2), 49--56.
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December 2006
2429 pages
ISBN:1424405017
- Editors:
- L. Felipe Perrone,
- Barry G. Lawson,
- Jason Liu,
- Frederick P. Wieland,
- General Chair:
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- Program Chair:
- Richard Fujimoto
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- IIE: Institute of Industrial Engineers
- ASA: American Statistical Association
- IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
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- NIST: National Institute of Standards and Technology
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Published: 03 December 2006
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