Air traffic control students’ aspiration levels distributions

This paper proposes an analysis of an air traffic control students’ survey describing self-assessment of their workload levels. The workload is defined as the number of aircraft simultaneously under control. The survey is performed over the gird with axes represented with aircraft number, their corr...

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Main Authors: Serhii Borsuk, Oleksii Reva, Larysa Sahanovska
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2023-06-01
Series:Авіаційно-космічна техніка та технологія
Subjects:
Online Access:http://nti.khai.edu/ojs/index.php/aktt/article/view/1995
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author Serhii Borsuk
Oleksii Reva
Larysa Sahanovska
author_facet Serhii Borsuk
Oleksii Reva
Larysa Sahanovska
author_sort Serhii Borsuk
collection DOAJ
description This paper proposes an analysis of an air traffic control students’ survey describing self-assessment of their workload levels. The workload is defined as the number of aircraft simultaneously under control. The survey is performed over the gird with axes represented with aircraft number, their correspondent, and utility/satisfaction levels. The aspiration level values are calculated using workload differences. The safety background of risks in aviation activities is described. Risk and aspiration level links are highlighted. The aspiration level notion for the proposed research is inferred. Survey details and conditions are explained. The differences in four quarters at the workload charts specified by respondents are explained. The aspiration level parameters and basic statistics calculated for respondents are presented. Appropriate goodness-of-fit tests are performed with different sets of initially received answers. Whole samples and subsamples are considered. It is shown that for the full sample considered, the outlet removal provides significant increase of p-value, thus allowing to change the hypothesis approval status. Sub-samples list includes the whole sample without outlets and the whole sample aspiration level calculated for only positive values according to y-axis. Additionally, other values were considered. Namely regret values, i.e., the values on the descending half of the charts and a mixture of regret and aspiration level values in regard that is higher. Normal and exponential distribution significances are proven for the different options mentioned above. It is shown that the general chi-squared method provides the latter mixture to be insignificantly exponential, whereas specific Fisher’s test approves the significance of the data. The role of air traffic control students’ aspiration level in their estimation and possible education strategy personalization is described. The importance of human factor consideration during similar survey performance is once again proven. The connection of regret with aspiration level in a mixture is discussed. The conclusions on the results are provided. Further research directions are proposed.
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spelling doaj.art-469793e5362a4b5fb684b9553578efde2023-07-02T10:06:55ZengNational Aerospace University «Kharkiv Aviation Institute»Авіаційно-космічна техніка та технологія1727-73372663-22172023-06-0103768410.32620/aktt.2023.3.081905Air traffic control students’ aspiration levels distributionsSerhii Borsuk0Oleksii Reva1Larysa Sahanovska2Ukrainian Institute of Scientific and Technical Expertise and Information, KyivUkrainian Institute of Scientific and Technical Exper-tise and Information; KyivFlight academy of National Aviation University, KropivnitskyThis paper proposes an analysis of an air traffic control students’ survey describing self-assessment of their workload levels. The workload is defined as the number of aircraft simultaneously under control. The survey is performed over the gird with axes represented with aircraft number, their correspondent, and utility/satisfaction levels. The aspiration level values are calculated using workload differences. The safety background of risks in aviation activities is described. Risk and aspiration level links are highlighted. The aspiration level notion for the proposed research is inferred. Survey details and conditions are explained. The differences in four quarters at the workload charts specified by respondents are explained. The aspiration level parameters and basic statistics calculated for respondents are presented. Appropriate goodness-of-fit tests are performed with different sets of initially received answers. Whole samples and subsamples are considered. It is shown that for the full sample considered, the outlet removal provides significant increase of p-value, thus allowing to change the hypothesis approval status. Sub-samples list includes the whole sample without outlets and the whole sample aspiration level calculated for only positive values according to y-axis. Additionally, other values were considered. Namely regret values, i.e., the values on the descending half of the charts and a mixture of regret and aspiration level values in regard that is higher. Normal and exponential distribution significances are proven for the different options mentioned above. It is shown that the general chi-squared method provides the latter mixture to be insignificantly exponential, whereas specific Fisher’s test approves the significance of the data. The role of air traffic control students’ aspiration level in their estimation and possible education strategy personalization is described. The importance of human factor consideration during similar survey performance is once again proven. The connection of regret with aspiration level in a mixture is discussed. The conclusions on the results are provided. Further research directions are proposed.http://nti.khai.edu/ojs/index.php/aktt/article/view/1995flight safetyhuman factorsworkloadaspiration leveleducation
spellingShingle Serhii Borsuk
Oleksii Reva
Larysa Sahanovska
Air traffic control students’ aspiration levels distributions
Авіаційно-космічна техніка та технологія
flight safety
human factors
workload
aspiration level
education
title Air traffic control students’ aspiration levels distributions
title_full Air traffic control students’ aspiration levels distributions
title_fullStr Air traffic control students’ aspiration levels distributions
title_full_unstemmed Air traffic control students’ aspiration levels distributions
title_short Air traffic control students’ aspiration levels distributions
title_sort air traffic control students aspiration levels distributions
topic flight safety
human factors
workload
aspiration level
education
url http://nti.khai.edu/ojs/index.php/aktt/article/view/1995
work_keys_str_mv AT serhiiborsuk airtrafficcontrolstudentsaspirationlevelsdistributions
AT oleksiireva airtrafficcontrolstudentsaspirationlevelsdistributions
AT larysasahanovska airtrafficcontrolstudentsaspirationlevelsdistributions