2011
DOI: 10.1002/hfm.20320
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Ocular movements under taskload manipulations: Influence of geometry on saccades in air traffic control simulated tasks

Abstract: Traffic geometry is a factor that contributes to cognitive complexity in air traffic control. In conflictdetection tasks, geometry can affect the attentional effort necessary to correctly perceive and interpret the situation; online measures of situational workload are therefore highly desirable. In this study, we explored whether saccadic movements vary with changes in geometry. We created simple scenarios with two aircraft and simulated a conflict detection task. Independent variables were the conflict angle… Show more

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Cited by 10 publications
(2 citation statements)
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“…A significant change in the difference in search performance took place from 4 to 6 deg/s, which is not consistent with the results obtained by Williams and Borow (), who found a change of performance at 8 deg/s. The difference was likely to be due to differences in stimulus factors (e.g., target and background character, density) and task factors (e.g., illumination, contrast) of the two experiments (Banks et al., ; Marchitto, Stasi, & Cañas, ; Nakatsuka et al., ).…”
Section: Resultsmentioning
confidence: 99%
“…A significant change in the difference in search performance took place from 4 to 6 deg/s, which is not consistent with the results obtained by Williams and Borow (), who found a change of performance at 8 deg/s. The difference was likely to be due to differences in stimulus factors (e.g., target and background character, density) and task factors (e.g., illumination, contrast) of the two experiments (Banks et al., ; Marchitto, Stasi, & Cañas, ; Nakatsuka et al., ).…”
Section: Resultsmentioning
confidence: 99%
“…Analyzing visual scanning patterns and dynamic characteristics can help in understanding individuals’ underlying mental processes and scanning strategies; thus, these analyses can help in minimizing potential accidents and in designing appropriate human‐machine interfaces. To date, although there have been many visual scanning studies using dynamic glance measures (e.g., transitions of eye fixation) in aviation (Harris, Glover, & Spady, , Haslbeck & Zhang, , Kang & Landry, , Marchitto, Di Stasi, & Cañas, ), relatively few studies have explored drivers’ visual scanning patterns and dynamic characteristics. Underwood, Chapman, Brocklehurst, Underwood, and Crundall () identified driver's three scanning patterns (i.e., single/two/three‐fixation scanpaths) while driving on different road types (i.e., rural, suburban and dual‐carriageway).…”
Section: Introductionmentioning
confidence: 99%