Research On The Visual Search Pattern In Radar Control

As with the rapid development of our country, the demand in the civil aviation is increasing, thus encouraging the expansion of the aviation industry, making it play a more and more important role in the national economy. As a result of this, the safety problem in the aviation industry should be given sufficient consideration.For the aviation industry is a complicate human-machine-environment system,after analyzing the data of accidents and incidents in the system, results show that human factor takes an important part in all the influencing factors. In the aviation system, the air traffic control system is taking a significant part. According to the statistical data, the flight activities that the air traffic control system ensures total up to7.54 million times, with a year-on-year growth of 8.9%. As the core part of the air traffic control is the controller, the controllers are taken as the objects of the study.Given that controller mainly gets the information form visual search, the visual search mode of the controller is going to be studied.In order to obtain the eye movement data, the environment equipments of radar control simulator and the Tobii X2-60 eye tracker were combined. By splitting the screen, the simulated scenes of ATC were transformed to the computer screen with the eye tracker. Integrating the research conclusions, a series of eye movement data, like the fixation duration, the number of fixation, the horizontal view angle, the vertical view angle, saccadic range, and the saccadic velocity, were used to describe the visual search mode of the controller. By setting the number of the airplane as five, seven,and ten, the visual search mode in the corresponding situations were compared, and the correlation of the number of airplane and the visual search mode was studied.The results show that, when do partition statics, subjects’ eye movement data shows an obvious difference of distribution. Based on the statistical conclusions, and combined with the experimental scenes and the meaning of the eye movement indicators, the visual search mode of the controller can be described as follows. Thedensity of data during the search rang is large. Though the saccadic velocity is not so fast, it is easy for the controller to get the needed information. During the experimental process, the conditions needed a high concentration are not so many as imagined. Combined with the simulated scenario, it is obvious that the fixation areas are the runway and the bottom of the screen. Moreover, after using analysis of variance to compare the data, it appears that subjects’ visual search mode has no evident difference with the change of aircrafts’ number.