态势热点非线性评估方法研究

态势图中数据信息量过大，海量态势信息容易产生超过生理极限的巨大认知负载，这将导致指挥员感知、判断、决策的迟滞，严重时可以导致决策活动崩溃。为解决认知负载过重问题，需要对态势信息进行处理，以评估和突出态势热点。基于协同目标聚集因素，将态势目标造成有效影响的可能性以及目标之间的协同作为判别指标，推导出关注度函数，设计了态势热点值计算方法。通过示例仿真计算可见，本方法在时效性和准确程度水平上可以更好地评估态势热点的变化情况，降低指挥员的认知负载和认知偏差。

Research on Nonlinear Evaluation Method of Situational Hot Spots

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.