Research on the Impact of Experience Level 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. Method: A 3 × 2 × 2 eye movement experimental platform was designed based on an attention allocation model, with 3 attention allocation methods × 2 brain load × 2 experience levels. Brain load was induced using the N-BACK paradigm and monitored by collecting EEG physiological data. The average fixation duration of the subjects was analysed. Exploring the effects of attention allocation methods on subway dispatch safety monitoring behavior under different levels of experience and mental load using three eye movement indicators: average fixation frequency and pupil diameter. Result: (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 shortest; Conclusion: Through monitoring of 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 reasonable allocation of visual attention is achieved, with higher universality of primary and secondary allocation and more reasonable attention allocation. This provides a reference for the human-machine optimization of subway safety monitoring interfaces.