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- W152654750 abstract "Air traffic control is often referred to as a cognitively demanding profession. The amount of air traffic information controllers are expected to process is referred to as their mental workload. Mental workload is one of the critical factors influencing the performance of controllers. The levels of mental workload experienced by controllers are critically dependent on the cognitive ability of the controller. Cognitive ability determines the extent to which controllers can build an accurate mental picture of the air traffic situation. This traffic picture is referred to as situation awareness. The aim of the present research was to investigate the effects of air traffic complexity on controller situation awareness and mental workload. An understanding of these effects allows the links between air traffic complexity and mental workload to be described and quantified. It allows mental workload to be accurately predicted from different types of traffic loads and configurations. Quantification of the link between air traffic complexity and mental workload opens the possibility to predict mental workload, which has implications for air traffic sector design and staff rostering. The thesis presents the findings from three studies in which licensed air traffic controllers participated. The first study used a cognitive task analysis to gather information from controllers about the way they mentally encode, process and store the air traffic picture to develop situation awareness. Semi-structured interviews incorporating the critical incident method were conducted to elicit information from controllers about their cognitive functioning. A model of controller information processing, in addition to a preliminary workload analysis were developed from the data obtained in this study. The second study was designed to evaluate the validity of a range of different measures of situation awareness. A quasi-experimental design was developed to compare predictions of situation awareness using existing measurement techniques. The study concluded that different measurement techniques addressed different aspects of situation awareness, and that under the conditions experienced in live situations and high-fidelity simulations, an objective standard for situation awareness was difficult to develop. Subjective and observed ratings of situation awareness were significantly related, providing evidence of convergent validity between these measurement methods. The aim of the final study was to determine the predictive validity of a number of different metrics for assessing the complexity of air traffic configurations. A laboratory task was designed that presented controllers with a series of static air traffic situations, which they had to process and resolve. The results suggest that it is possible to objectively predict controller perceptions of mental workload based on the complexity of the air traffic. Three relational complexity metrics were developed to quantify the complexity of the air traffic configurations. All three metrics were significantly correlated with controller ratings of mental workload and accounted for a substantial proportion of the variance in controller workload ratings. The research has the potential to facilitate the future development of models within cognitive psychology. It provided an opportunity to test theories of capacity limitations in working memory, as well as understandings of mental workload management strategies such as chunking and segmentation for avoiding information overload and underload. Aviation psychology will benefit from the application of existing and developing cognitive theories to the specific issues in the area. The research has a wide range of industrial applications. The way in which air traffic sectors are designed will benefit from an understanding of the relationship between specific traffic configurations and perceived workload. Quantifying mental workload and situation awareness in air traffic control also has benefits in terms of designing training and rehabilitation programs. Knowing the cognitive strategies used by successful controllers may also be of benefit in recruitment and selection, as applicants with particular cognitive processing abilities can be specifically selected. The research has further application to human factors experts in terms of the design of the computer systems and workplace tools to facilitate controller performance." @default.
- W152654750 created "2016-06-24" @default.
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- W152654750 date "2003-01-01" @default.
- W152654750 modified "2023-09-27" @default.
- W152654750 title "Quantifying mental workload in air traffic control: Analysing air traffic complexity" @default.
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