Research On The Effect Of Cockpit Warning Signals Detection Under Visual And Auditory Perceptual Load

Cockpit warning signals are crucial for aviation safety.As 80% of information during flight involves visual channels,traditional visual warning signals may overload pilots’ visual load and reduce the effectiveness of signal detection.Studies show that using audiovisual warning signals in traffic safety significantly improves signal detection.However,pilots receive a large amount of sensory information from different channels and are more likely to experience visual and auditory overload.Due to the different processing mechanisms of visual and auditory warning signals,the effectiveness of signal detection by pilots may also vary.This study seeks a scientific and feasible quantitative scheme from the perspective of basic cognitive abilities to provide a reference for better studying pilots’ basic cognition and perceptual abilities.This study investigates pilots’ attention capture ability for single-channel and dual-channel warning signals in the aviation cockpit while performing visual load tasks(Study 1)and auditory load tasks(Study 2)using a dual-task paradigm.30 pilots and 32 healthy male subjects were recruited for the experiment.Study 1,based on visual load conditions,required subjects to complete a number monitoring task under low load conditions and a number matching task under high load conditions while distinguishing the position(right or left)of visual(V),audiovisual(AV),and auditory(A)warning signals.Study 2,based on auditory load conditions,required subjects to complete a radio listening task under low load conditions and a radio response task under high load conditions while performing the same discrimination task.According to accuracy rate,reaction time,inverse efficiency score,and competition model indicators,this study found that AV warning signals were more effective in attracting attention under both high and low load conditions.Compared with the control group,pilots had better detection advantages for AV and A warning signals under auditory load conditions.These results provide theoretical support for optimizing aircraft cockpit display systems and help develop new cockpit human-machine interaction methods.