认知负荷超载场景下人机协同与信任的有效性评测模式——以飞行员应急条件下的认知场景为例

Effectiveness Evaluation and Model Construction of Pilot's Human-Computer Collaborative Decision-Making in Emergency Scenarios

本项研究基于飞行员应急条件下认知状态,研究人机协同决策方法和干预训练策略。研究基于“应急条件监测和定级—飞行员认知脑荷状态实时评估—人机协同决策模式定级—控制风险、优化决策、保证任务完成”的思路,提出更具动态性、针对性、适应复杂非线性应急场景的人机协同决策方案。具体来说:其一,应急条件监测和定级,以及飞行员认知脑荷状态的实时评估。飞行员遭遇何种应急场景,对应场景中的认知状态和心理行为特征。通过构建应急场景、认知状态、心理行为的系统模型,提供有针对性的解决方案。其二,人机协同决策模式定级,如何实施飞行员认知与决策的干预和培训,如何提升应急反应能力,人机交互界面需要提供何种支持,以此确定应急场景支持系统基本的功能和可供性的范围,基于人机交互设计原则与降低认知复杂度原则对应急场景支持系统进行设计,并设计出针对性的飞行员面对应急状态的训练方案。其三,控制风险、优化决策、保证任务完成。锁定应急场景支持系统和训练方案中关键性指标,进行针对性的脑电和眼动等实验研究,为策略模型和系统做出实证支持。最后,本项研究将提出关于飞行员训练方案、认知状态评估、应急场景和决策评估等关键指标的测量和训练系统。

This study studies the man-machine collaborative decision-making methods and intervention training strategiesaccording to pilots cognitive states under emergency conditions.Based on the idea of 1)monitoring and grading of emergency conditions,2)real-time evaluation of pilots cognitive mind workload status,3)grading of human-computer collaborative decision-making mode,4)risk control,optimization of decision-making,and task completion assurance,the research proposes a dynamic,targeted,and adaptive human-computer collaborative decision-making framework for complex nonlinear emergency scenarios.Specifically,first,in the monitoring and grading of emergency conditions,as well as real-time evaluation of pilots cognitive brain workload status,the framework aims to provide targeted solutions by building a system model of emergency scenarios,cognitive states,and psychological behaviors.Second,in the grading of the human-computer collaborative decision-making mode,the framework aims to determine the basic functions and availability scope of the emergency scene support system,and design the emergency scene support system,according to the human-computer interaction design principles of reducing cognitive complexity,and design a targeted training program for pilots facing the emergency state.Third,in controlling risks,optimizing decision-making,and ensuring the completion of tasks,the framework focuses on the key indicators in the emergency scenario support system and training program and conducts targeted experimental research on EEG and eye movement to provide empirical support for the strategy model and system.Finally,this study proposes a research framework and training systems for the measurement of key indicators such as pilot training programs,cognitive state assessment,emergency scenarios,and decision-making assessment.