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Exploring the prescriptive modeling of fire situation assessment
Yixing Shan
Lili Yang
Roy Kalawsky
S.R. Hiltz, M.S.P., L. Plotnick, and P.C. Shih.
One of the key assumptions in Endsley's three-level Situation Awareness (SA) model is the critical role of mental models in the development and maintenance of SA. We explored a prescriptive way of modeling this essential mental process of the fire incident commanders' fire ground assessment. The modeling was drawn from the Fast and Frugal Heuristics (FFHs) program, given the strong parallels between its contentions on ecological rationality and the environment demanding of the emergency response context. This paper addresses a number of issues being encountered in the attempt of our empirical investigation.
urn:ISBN:9780692211946
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Exploring%20the%20prescriptive%20modeling%20of%20fire%20situation%20assessment&stitle=ISCRAM%202014&issn=2411-3387&isbn=9780692211946&date=2014&spage=60&epage=64&aulast=Yixing%20Shan&au=Lili%20Yang&au=Roy%20Kalawsky&pub=The%20Pennsylvania%20State%20University&place=University%20Park%2C%20PA&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=942
citekey:YixingShan_etal2014
citation:Yixing Shan, Lili Yang, & Roy Kalawsky. (2014). Exploring the prescriptive modeling of fire situation assessment. 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. 60-64). University Park, PA: The Pennsylvania State University.
2014
ConferencePaper
text
Hardware
Ecological rationality
Emergency response
Empirical investigation
Fast and frugal heuristics
Judgment analysis
Prescriptive models
Situation assessment
Situation awareness
Information systems
file:http://idl.iscram.org/files/shan/2014/942_Shan_etal2014.pdf
The Pennsylvania State University
English
2411-3387
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management
2014
60
64
1