The study focuses on the Human Factors (HF) discipline and its role in improving aviation safety and efficiency within Air Traffic Control (ATC). The objective is to contribute to a better understanding of the ATC work domain and identify opportunities for improving performance, safety and efficiency. The research also aims to understand air traffic controllers' (ATCs) experience of the Mil i-ATC alarm system and propose enhancements to improve performance. Data collection was executed through observational research at a military air traffic control tower, and semi-structured interviews with ATCs, moreover, Work Domain Analysis and Thematic Analysis were employed for data analysis. The findings highlight key factors influencing ATC operational efficiency and safety, including communication, air traffic management, and alarm management, that is realized through social, technical and physical means. Moreover, workload, stress, situational awareness, teamwork, and decision-making were identified as interrelated elements within ATC. To enhance the Mil i-ATC alarm system, the study recommends considering alarm presentation, taking into account context and operational impact. Moreover, alarms without operational significance and false alarms are identified to cause frustration and undermine the reliability of the alarm system. Further research is necessary to determine the feasibility of presenting action plans directly in the system and how alarms should be listed. It is recommended that future studies focus on sustaining ATCs' motivation and alertness during monotonous tasks or low workload situations. Additionally, it is important to determine the appropriate level of automation in ATC management systems and evaluate controllers' trust in these systems.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-195927 |
| Date | January 2023 |
| Creators | Wahlgren, Olivia |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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