Research On The Correlation Between Cognitive Load And Human Error In Air Traffic Control

With the growth of China's economy and the development of the civil aviation industry,passenger traffic at airports around the country has gradually increased.However,the number of employees in the Air Traffic Control's direction has not kept pace with the development needs,and the pressure on ATC controllers have continuously increased.The number of errors caused by human factors has increased continuously.In the modern ATC system,the controllers are in the core position.They need to receive and process a large amount of information and make timely feedback.This imposes requirements on the controller's cognitive ability.Excessive cognitive load can greatly increase the possibility of various operational errors and hidden accidents.Research on the relationship between cognitive load and human error in control of towers will help improve the safety factor of the control work and provide a reference for assessing the risk caused by the controller's cognitive load level.This paper firstly decomposes the cognitive process of ATC from the perspective of human information processing,discusses the mechanism of human error,and obtains an Air Traffic controller's cognitive behavioral flow chart and a controller's cognitive error classification framework.Then,based on the cognitive load structure model and the characteristics of regulatory fields,five subjective evaluation indicators and five objective cause and effect indicators were initially selected as the interaction indexes of cognitive load.These 10 indicators were tested through experiments.In the experiment,20 ATC participants were selected to perform four types of missions.The ATC simulation experiment was conducted.The physiological data of the test subjects were recorded using the eye tracker and the physiological multi-guidance meter.The subjective evaluation data of the subject were recorded using a subjective scale,and the subjects were recorded by video recording software.Operational data.After the preliminary collation of the data,the severity of the consequences of different types of errors in the experiment was quantified using the Analytic Hierarchy Process(AHP).Based on this,the quantitative assessment of Criticality was used to build a comprehensive Criticality0 quantification method.The method was used to quantify the Criticality value of each group of experiments.Finally,a regression model was built on 14 subjects using SPSS statistical analysis software,and then tested with another 4 subjects.The hazard value is the output variable and the cognitive load interaction index is the input variable.Using factor analysis to reduce the dimension of input variables,the final eight input variables were determined as: average information processing time,percentage of gaze duration,time requirement,brain demand,performance level,frustration level,pupil size,and average information response time.Through testing the model,it is found that the model has high reliability and can provide reference for evaluating the hazard assessment of the Air Traffic controllers working under different cognitive loads.