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