scholarly journals Emergency medicine between mind and body. Stress and managing strategies in professional groups at risk. Case study: air-traffic controllers

2012 ◽  
Vol 8 (3) ◽  
pp. 26
Author(s):  
F. De Lucia
Keyword(s):  
At Risk ◽  
Emergency Medicine ◽  
Air Traffic ◽  
Professional Groups ◽  
Air Traffic Controllers ◽  
Mind And Body

scholarly journals Integrating Eye- and Mouse-Tracking with Assistant Based Speech Recognition for Interaction at Controller Working Positions

Aerospace ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 245
Author(s):  
Oliver Ohneiser ◽  
Jyothsna Adamala ◽  
Ioan-Teodor Salomea
Keyword(s):  
Speech Recognition ◽  
Traffic Control ◽  
Visual Cues ◽  
Error Rates ◽  
Air Traffic ◽  
Mouse Tracking ◽  
Short Term ◽  
Air Traffic Controllers ◽  
Visual Confirmation

Assistant based speech recognition (ABSR) prototypes for air traffic controllers have demonstrated to reduce controller workload and aircraft flight times as a result. However, two aspects of ABSR could enhance benefits, i.e., (1) the predicted controller commands that speech recognition engines use can be more accurate, and (2) the confirmation process of ABSR recognition output, such as callsigns, command types, and values by the controller, can be less intrusive. Both tasks can be supported by unobtrusive eye- and mouse-tracking when using operators’ gaze and interaction data. First, probabilities for predicted commands should consider controllers’ visual focus on the situation data display. Controllers will more likely give commands to aircraft that they focus on or where there was a mouse interaction on the display. Furthermore, they will more likely give certain command types depending on the characteristics of multiple aircraft being scanned. Second, it can be determined via eye-tracking instead of additional mouse clicks if the displayed ABSR output has been checked by the controller and remains uncorrected for a certain amount of time. Then, the output is assumed to be correct and is usable by other air traffic control systems, e.g., short-term conflict alert. If the ABSR output remains unchecked, an attention guidance functionality triggers different escalation levels to display visual cues. In a one-shot experimental case study with two controllers for the two implemented techniques, (1) command prediction probabilities improved by a factor of four, (2) prediction error rates based on an accuracy metric for three most-probable aircraft decreased by a factor of 25 when combining eye- and mouse-tracking data, and (3) visual confirmation of ABSR output promises to be an alternative for manual confirmation.

scholarly journals Addressing air traffic controllers’ English language proficiency needs: Case of Zenata Airport

2019 ◽  
Vol 9 (3) ◽  
pp. 167-183
Author(s):  
Ghania Mekkaoui ◽  
Noureddine Mouhadjer
Keyword(s):  
Language Proficiency ◽  
English Language ◽  
Case Study Research ◽  
English Language Proficiency ◽  
Air Traffic ◽  
Aviation Industry ◽  
Special Focus ◽  
Listening Skills ◽  
Air Traffic Controllers

The current paper is a contribution to the field of ESP in aviation industry in an Algerian context. It was conducted in Zenata –Messali el Hadj Airport. It was a case study research that is intended to explore the English language deficiencies and problems Algerian air traffic controllers may face in their work, as well as to identify their lacks, needs and wants. To overcome their    difficulties a needs identification and analysis was conducted thanks to various instruments: interviews, a questionnaire, classroom observation. The results indicated that all informants involved in the current research were aware of the importance of the English language in aviation industry, as low proficiency in this language might lead to misunderstanding, and dangerous situations. Air traffic controllers reveal their need to develop their language proficiency namely in speaking and listening skills with special focus on vocabulary and grammar. To conclude English language is important in aviation industry. A good mastery of this language helps avoid misunderstanding and keep aviation safety. Thus, Algerian air traffic controllers need to enhance their English language ability thanks to appropriate English courses and well trained ESP teachers. Keywords: ESP; English Language Proficiency; Air Traffic Controllers; English for Aviation.

scholarly journals Identifying Operational Benefits of the Arrival Management System – A KPI-Based Experimental Method by Evaluating Radar Trajectories

2021 ◽  
Vol 33 (5) ◽  
pp. 633-645
Author(s):  
Songwei Liu ◽  
Junfeng Zhang ◽  
Zihan Peng ◽  
Haipeng Guo ◽  
Anle Pi
Keyword(s):  
Traffic Management ◽  
Decision Support Tool ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Support Tool ◽  
Performance Improvements ◽  
System A ◽  
Original Intention ◽  
Air Traffic Controllers

The arrival management (AMAN) system is a decision support tool for air traffic controllers to establish and maintain the landing sequence for arrival aircraft. The original intention of designing the AMAN system is to improve the efficiency of air traffic management (ATM), but few studies are investigating the operational benefits of this system based on key performance indicators (KPIs) and evaluating actual data in a real-time environment. The main purpose of this paper is to propose a KPI based transferable comparative analysis method for identifying the operational benefits of the AMAN through radar trajectories. Firstly, six KPIs are established from a joint study of the mainstream ATM performance frameworks worldwide. Secondly, appropriate evaluation technique approaches are determined according to the characteristics of each KPI. Finally, a Chinese metropolitan airport is taken for the case study, and three periods are defined to form data samples with high similarity for comparative experiments. The results validate the feasibility of the proposed method and find comprehensive performance improvements in arrival operations under the effects of the AMAN system.

scholarly journals The Decision-Making Practices among Air Traffic Controllers during Conflict Resolution in Aviation Industry: A Case Study

2021 ◽  
Vol 7 (2) ◽  
pp. 66-79
Author(s):  
Sherrie Winer Anthony ◽  
Rusli Ahmad
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Professional Training ◽  
Air Traffic ◽  
Civil Aviation ◽  
Aviation Industry ◽  
Related Factors ◽  
Qualitative Phenomenology ◽  
Air Traffic Controllers

The study explores decision-making practices among Air Traffic Controllers (ATCOs) in the Civil Aviation Authority of Malaysia (CAAM) in Sarawak, Malaysia, using the Cynefin Framework. The study intends to identify related factors that influence decision-making practices, explore how decisions are made during conflict resolution, and describe the coping strategies in decision-making practices by ATCOs. The qualitative phenomenology case study method was used to collect data and one-to-one interviews with the ATCOs. Content analysis is used to analyse the data. The findings showed that ATCOs types and working experiences influence the way they make decisions. Decision-making among ATCOs is like the Administrative Model in which they must follow Standard Operating Procedures (SOP) as their strategies in decision-making. Findings contribute toward an understanding of current decision-making practices, which would inform relevant policies and professional training development programmes.

scholarly journals Zagreb Terminal Airspace Capacity Analysis

2012 ◽  
Vol 23 (5) ◽  
pp. 367-375 ◽  
Author(s):  
Biljana Juričić ◽  
Ružica Škurla Babić ◽  
Ivana Francetić
Keyword(s):  
Key Words ◽  
Traffic Congestion ◽  
New Technologies ◽  
Air Traffic ◽  
Capacity Analysis ◽  
Traffic Demand ◽  
Basic Scenario ◽  
Air Traffic Controllers ◽  
Traffic Loads

The paper deals with the Zagreb Terminal Airspace capacity. The basic scenario has been modelled using the RAMSPlus simulator and capacity has been calculated by using the WMSE method which takes into account the peak-hour workload based on air traffic controllers’ tasks. The problem of traffic congestion has been analyzed and several case study scenarios have been simulated. The conducted simulations have demonstrated that in the conditions of increased traffic loads (traffic demand amounting to 6% annually) the working technology and the airspace organization of Zagreb Terminal Airspace will become a restricting factor at peak-hour workloads. The new technologies in Zagreb Terminal Airspace (P-RNAV routes and airspace sectorization) will enable the reduction in air-traffic controller’s workload regarding radar vectoring, radio-telephony and coordination tasks. This should increase the airspace capacity and thus enhance the safety and orderly flow of air traffic. KEY WORDS: terminal airspace, capacity, simulation, workload, task, sectorization

Quantitative indicators of air traffic controllers’ attitude to the danger of errors

2020 ◽  
pp. 68-78
Author(s):  
O. M. Reva ◽  
V. V. Kamyshin ◽  
S. P. Borsuk ◽  
V. A. Shulhin ◽  
A. V. Nevynitsyn
Keyword(s):  
Human Factor ◽  
Differential Method ◽  
Air Traffic ◽  
Professional Activity ◽  
Aviation Accidents ◽  
Air Traffic Controllers ◽  
The Difference ◽  
Level Of Significance ◽  
The Individual ◽  
High Level

The negative and persistent impact of the human factor on the statistics of aviation accidents and serious incidents makes proactive studies of the attitude of “front line” aviation operators (air traffic controllers, flight crewmembers) to dangerous actions or professional conditions as a key component of the current paradigm of ICAO safety concept. This “attitude” is determined through the indicators of the influence of the human factor on decision-making, which also include the systems of preferences of air traffic controllers on the indicators and characteristics of professional activity, illustrating both the individual perception of potential risks and dangers, and the peculiarities of generalized group thinking that have developed in a particular society. Preference systems are an ordered (ranked) series of n = 21 errors: from the most dangerous to the least dangerous and characterize only the danger preference of one error over another. The degree of this preference is determined only by the difference in the ranks of the errors and does not answer the question of how much time one error is more dangerous in relation to another. The differential method for identifying the comparative danger of errors, as well as the multistep technology for identifying and filtering out marginal opinions were applied. From the initial sample of m = 37 professional air traffic controllers, two subgroups mB=20 and mG=7 people were identified with statisti-cally significant at a high level of significance within the group consistency of opinions a = 1%. Nonpara-metric optimization of the corresponding group preference systems resulted in Kemeny’s medians, in which the related (middle) ranks were missing. Based on these medians, weighted coefficients of error hazards were determined by the mathematical prioritization method. It is substantiated that with the ac-cepted accuracy of calculations, the results obtained at the second iteration of this method are more ac-ceptable. The values of the error hazard coefficients, together with their ranks established in the preference systems, allow a more complete quantitative and qualitative analysis of the attitude of both individual air traffic controllers and their professional groups to hazardous actions or conditions.

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