Journal of System Simulation
Abstract
Abstract: The excessive amount of data and information in the situation map is likely to produce a huge cognitive load that exceeds the physiological limit. This can lead to delays in the perception, judgment, and decision-making of the commander, or even failure of decision-making activities in severe cases. For this reason, situation information needs to be processed to assess and highlight situational hotspots so that cognitive overload can be tackled. Based on the aggregation factors of collaborative targets, this paper takes the effective impact possibility of situational targets and the collaboration as the indicators, derives the attention function, and designs the computing method of situational hotspot value. As indicated by the calculation results of simulation cases, this method can better evaluate the changes of situational hotspots in terms of timeliness and accuracy and reduce the commander's cognitive load and cognitive bias.
Recommended Citation
Mao, Tengjiao; Zhang, Dongge; Liang, Xuefeng; Niu, Yanjie; Yu, Minggang; and He, Ming
(2022)
"Research on Nonlinear Evaluation Method of Situational Hot Spots,"
Journal of System Simulation: Vol. 34:
Iss.
2, Article 11.
DOI: 10.16182/j.issn1004731x.joss.20-0731
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/11
First Page
285
Revised Date
2021-01-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0731
Last Page
292
CLC
E917
Recommended Citation
Tengjiao Mao, Dongge Zhang, Xuefeng Liang, Yanjie Niu, Minggang Yu, Ming He. Research on Nonlinear Evaluation Method of Situational Hot Spots[J]. Journal of System Simulation, 2022, 34(2): 285-292.
DOI
10.16182/j.issn1004731x.joss.20-0731
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