TY - JOUR A2 - Camastra, Francesco AU - McClung, Sarah N. AU - Kang，Ziho PY - 2016 DA - 2016/04/07 TI -特征的视觉扫描模式在空中交通管制SP - 8343842六世- 2016 AB -表征的空中交通管制(atc)视觉扫描策略是一个具有挑战性的问题,由于多个飞机和日益复杂的动态运动scanpaths(眼睛注视和顺序saccades) over time. Additionally, terminologies and methods are lacking to accurately characterize the eye tracking data into simplified visual scanning strategies linguistically expressed by ATCs. As an intermediate step to automate the characterization classification process, we (1) defined and developed new concepts to systematically filter complex visual scanpaths into simpler and more manageable forms and (2) developed procedures to map visual scanpaths with linguistic inputs to reduce the human judgement bias during interrater agreement. The developed concepts and procedures were applied to investigating the visual scanpaths of expert ATCs using scenarios with different aircraft congestion levels. Furthermore, oculomotor trends were analyzed to identify the influence of aircraft congestion on scan time and number of comparisons among aircraft. The findings show that (1) the scanpaths filtered at the highest intensity led to more consistent mapping with the ATCs’ linguistic inputs, (2) the pattern classification occurrences differed between scenarios, and (3) increasing aircraft congestion caused increased scan times and aircraft pairwise comparisons. The results provide a foundation for better characterizing complex scanpaths in a dynamic task and automating the analysis process. SN - 1687-5265 UR - https://doi.org/10.1155/2016/8343842 DO - 10.1155/2016/8343842 JF - Computational Intelligence and Neuroscience PB - Hindawi Publishing Corporation KW - ER -