Environmental and emotional predictors of cognitive styles of air traffic controllers

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Abstract

The article describes the theoretical and empirical study of cognitive styles of air traffic controllers as a guarantee of their professional success. The aim of the article was to present the results of the study, which were to establish the emotional predictors of cognitive styles of future air traffic controllers. The following methods were used for the study: Gottschaldt's figures, Comparison of similar drawings by J. Kagan, Free sorting of objects by R. Gardner in the modification of V. Kolga, Four-modal emotional questionnaire by L.A. Rabinovych, EmIn Emotional Intelligence Questionnaire by D.V Lyusin, Self-assessment of mental states by G. Eisenk. The specifics of the manifestation of the following cognitive-stylistic parameters of air traffic controllers are analyzed: social field dependence-field independence, impulsivity-reflexivity, analyticity-syntheticity. Based on the analysis of the results of the study, it was found that the vast majority of respondents have the following cognitive styles: field-independent (77.7%), reflexive (74.4%), and slightly less synthetic (53.5%). Emotional intelligence at the intrapersonal and interpersonal levels of air traffic controllers is characterized by high rates in only half of the sample. Among emotions, almost half of the respondents are dominated by joy at a high level, anger, fear at a low level and sadness at a medium level. It was also found that two thirds of air traffic controllers are dominated by low levels of anxiety and frustration. Regression analysis revealed the influence of emotional characteristics on cognitive styles of future air traffic controllers: aggression is a predictor of field dependence, and rigidity and joy are predictors of analytical cognitive style.

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APA

Pomytkina, L., Ichanska, O., Pomytkin, E., & Yamnitsky, V. (2021). Environmental and emotional predictors of cognitive styles of air traffic controllers. In E3S Web of Conferences (Vol. 258). EDP Sciences. https://doi.org/10.1051/e3sconf/202125802013

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