DocumentCode :
2245512
Title :
A prototype report filter to reduce information overload in combat simulations
Author :
Lusher, Rodney L. ; Stone, George F., III
Author_Institution :
US Army Command & Gen. Staff Coll., Ft. Leavenworth, KS, USA
Volume :
3
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
2788
Abstract :
This research resulted in a successful design and demonstration of the Simulation Information Filtering Tool (SIFT). SIFT is an information technology that can assist decision-makers in reducing their information flows when participating in combat training simulations. SIFT converts the commander´s critical information requirements (CCIR) into filtering criteria. The CCIR standard filters all but critical information from a commander´s message stream. Critical information is, by definition, information with the highest value. The message stream becomes smaller, yet packed with high value information. In demonstration, SIFT reduced the volume of reports by 86% and retained those that were critical. Using a cognitive model to estimate human report processing capacity, the SIFT prototype shows great potential in helping commanders avoid information overload
Keywords :
knowledge based systems; military computing; software agents; CCIR; DSS; SIFT; Simulation Information Filtering Tool; cognitive model; combat simulations; combat training simulations; commander´s critical information requirements; decision-makers; human report processing capacity; information overload reduction; information technology; prototype report filter; Computational modeling; Educational institutions; Humans; Information filtering; Information filters; Information systems; Information technology; Management training; Uncertainty; Virtual prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.635374
Filename :
635374
Link To Document :
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