Measuring Individual and Team Situation Awareness During Planning Tasks in Training of En Route Air Traffic Control

2008 ◽  
Vol 18 (3) ◽  
pp. 290-304 ◽  
Author(s):  
Gunnar Hauland
Author(s):  
Debra G. Jones

Since situation awareness (SA) is vital to the decision process, SA errors can degrade decision making. Many SA errors occur when all the relevant information has been correctly perceived. In these cases, the information's significance is not comprehended, and a representational error occurs. Schema influence this comprehension aspect of SA. This study investigates the impact of information with certain schema related characteristics on SA: (1) schema bizarre information will impact SA more than schema irrelevant information, and (2) schema unexpected information will impact SA more than the absence of schema expected information. Using a high fidelity air traffic control simulation, misinformation was provided to the controller and schema related cues were furnished to indicate the error. The results indicated that (1) schema bizarre cues impacted SA more than schema irrelevant cues and (2) no difference existed between the impact of the absence of schema expected cues and schema unexpected cues. Additionally the results emphasize the difficulty incurred when trying to prevent SA errors.


1992 ◽  
Vol 36 (17) ◽  
pp. 1321-1325 ◽  
Author(s):  
Richard E. Redding

The Federal Aviation Administration has embarked on a major curriculum redesign effort to improve the training of en route air traffic controllers. Included in this effort was a cognitive task analysis. One component of the task analysis was an analysis of operational errors, to obtain insights into cognitive-perceptual factors contributing to controller decisionmaking error. The data suggest that a failure to maintain situation awareness is the primary cause of controller error. These results highlight the importance of the controller task “maintain situation awareness”, and are consistent with the findings of the other analyses. An approach for training situation awareness skills is presented in relation to models of expertise developed from other analyses: an expert mental model of air traffic control, and a task decomposition listing thirteen primary controller tasks. The findings and training paridigm have implications for training other complex high-performance tasks performed in a real-time, multi-tasking environment.


2013 ◽  
Author(s):  
Dan Chiappe ◽  
Kim Vu ◽  
Tom Strybel ◽  
Corey Morgan

Author(s):  
Mica R. Endsley ◽  
Mark D. Rodgers

A study was conducted to investigate the way in which controllers deploy their attention in processing information in en route air traffic control scenarios. Actual air traffic control scenarios in which operational errors occurred were re-created using SATORI and displayed to twenty active air traffic control specialists. SAGAT was used to measure the subjects' ongoing understanding of the scenarios along pertinent situation awareness requirements. The data revealed an interesting pattern of attention distribution in processing the displays that can be linked to prior findings regarding operational errors in air traffic control.


Author(s):  
Mitsuki Fujino ◽  
Jieun Lee ◽  
Toshiaki Hirano ◽  
Yuichi Saito ◽  
Makoto Itoh

Evaluation of air traffic controller’s situation awareness (SA) is becoming important for air traffic management with the growth of air traffic. This study compared two SA evaluation methods: Situation Awareness Global Assessment Technique (SAGAT) and Situation Present Assessment Method (SPAM) to understand how these techniques affect controllers’ predictability in different traffic density settings. Twenty students undertook simple air traffic control simulations by using both techniques. We investigated how these techniques affect their workload with Subjective Workload Assessment Technique (SWAT) and NASA-TLX. SWAT scores showed that high traffic density increased participants’ workload, and extra workload was posed right after answering SA queries. NASA-TLX scores were larger when SAGAT was used than when SPAM was used throughout the simulation. We found that the workload with SAGAT interferes with main tasks more than that of SPAM. The results of query scores suggested that SPAM is more predictive to the assessment of the controller’s SA.


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