China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (2): 217-224.doi: 10.16265/j.cnki.issn1003-3033.2023.02.2785

• Occupational health • Previous Articles     Next Articles

Evaluation of air traffic controller's attention characteristics based on eye movement data

WANG Lili(), XU Lingpeng()   

  1. College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
  • Received:2022-09-22 Revised:2022-12-14 Online:2023-02-28 Published:2023-08-28

Abstract:

In order to improve the relevance and effectiveness of air traffic controllers' training and enhance the safety of air traffic control process, the attention stability, attention allocation and transfer and attention breadth were proposed as the evaluation indexes of attention characteristics firstly. Secondly a simulated control experiment was designed to collect and analyze eye-movement data of thirty-six mature controllers. Thirdly three parameters of the variance visit counts(VVC) of area of interests, MTP and emergency situation reaction time(RT) were selected as the quantitative parameter values corresponding to the three evaluation metrics that portray attentional characteristics. Finally, K-Means clustering analysis was used to classify the attentional characteristics of controllers, and the resultant classification intervals of the evaluation values of the attentional characteristics of controllers were obtained. The evaluation results were compared with the expert scoring results. The results show that there are obvious differences in the attention characteristics and evaluation value of controllers with different categories. Excellent controllers have the characteristics of good stability, reasonable distribution of attention, wide attention span and sensitivity to special situations. The quantization parameter values are the VVC to the area of interest is 13.48-95.46, the interval of MTP is 0.03-0.22, and the special situation RT interval is 3-31s.

Key words: air traffic controller, eye movement data, attention characteristics, K-Means clustering, Markov transition probabilities(MTP)