Research on the Influence of Differential Cognition and Load Conditions on the Safety Behavior of Subway Dispatching
Objective To explore the impact of attention allocation methods on subway dispatch safety monitoring behavior under different experience and load conditions.Methods Based on the attention allocation model,an eye movement experimental platform was designed,using 3 attention allocation methods x 2 brain load x 2 experience lev-els in eye movement experiments.Brain load was induced using the N-Back paradigm and monitored by collecting EEG physiological data.By analyzing the average gaze duration,average gaze frequency,and pupil diameter of the sub-jects as three eye movement indicators,the impact of attention allocation methods on subway dispatch safety monitoring behavior was explored under different experience levels and brain load.Results(1)Participants underwent brain load induction using the N-BACK paradigm under different load states α Wave and β The P-values of the average power percentage of the waves are all less than 0.05,indicating significant differences;(2)Under different experience and load conditions,the time required for primary and secondary allocation to handle abnormal information is the shor-test;(3)There is no significant difference in the average fixation frequency and average pupil diameter of the three al-location methods among the highly experienced population under high load conditions.Conclusion(1)Under differ-ent load levels,the visual attention of primary and secondary allocation is more concentrated,suitable for low experi-ence and high experience populations;(2)Due to the rich experience in handling abnormal information and short cog-nitive processing,the three types of attention allocation methods have no significant impact on the highly experienced population;(3)The visual attention of multi-level allocation is relatively dispersed,which can to some extent allevi-ate the cognitive load of dispatchers;(4)By monitoring EEG physiological data,it has been demonstrated that the N-BACK paradigm is effective in inducing brain load.By analyzing various indicators of eye movement data,the reasona-ble allocation of visual attention is achieved,with higher universality of primary and secondary allocation and more reasonable attention allocation.This provides a reference for human-machine optimization of subway safety monito-ring interfaces.
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