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  • 1
    Publication Date: 2019-07-13
    Description: When solving problems, multi-person airline crews can choose whether to work together, or to address different aspects of a situation with a divide and conquer strategy. Knowing which of these strategies is most effective may help airlines develop better procedures and training. This paper concentrates on joint attention as a measure of crew coordination. We report results obtained by applying cross recurrence analysis to eye movement data from two-person crews, collected in a flight simulator experiment. The analysis shows that crews exhibit coordinated gaze roughly one sixth of the time, with a tendency for the captain to lead the first officers visual attention. The degree to which crews coordinate their gaze is not significantly correlated with performance ratings assigned by instructors; further research questions and approaches are discussed.
    Keywords: Space Transportation and Safety; Behavioral Sciences; Air Transportation and Safety
    Type: ARC-E-DAA-TN36590 , OSA Fall Vision Meeting; Oct 21, 2016 - Oct 23, 2016; Rochester, NY; United States
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-12
    Description: Complex user interfaces (such as those found in an aircraft cockpit) may be designed from first principles, but inevitably must be evaluated with real users. User gaze data can provide valuable information that can help to interpret other actions that change the state of the system. However, care must be taken to ensure that any conclusions drawn from gaze data are well supported. Through a combination of empirical and simulated data, we identify several considerations and potential pitfalls when measuring gaze behavior in high-fidelity simulators. We show that physical layout, behavioral differences, and noise levels can all substantially alter the quality of fit for algorithms that segment gaze measurements into individual fixations. We provide guidelines to help investigators ensure that conclusions drawn from gaze tracking data are not artifactual consequences of data quality or analysis techniques.
    Keywords: Air Transportation and Safety
    Type: NASA/TM-2016-219424 , ARC-E-DAA-TN36043
    Format: application/pdf
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