摘要: Pilots' failure detection performance was investigated in a moving-base flight simulator. The task considered was the monitoring of stabilized automatic approaches. Abnormal conditions (excessive wind shears or system failures) we... 展开 Pilots' failure detection performance was investigated in a moving-base flight simulator. The task considered was the monitoring of stabilized automatic approaches. Abnormal conditions (excessive wind shears or system failures) were to be detected on the basis of unacceptable deviations of displayed variables from their normal positions. Four experienced airline pilots participated in the experiment. The independent variables were: failure type (wind shear or system failure), the axis in which the failure occurred (longitudinal or lateral), and the prior probability of failure occurrence (0.2 to 0.8). The dependent variables were detection times and display deviations at the moment of detection. A theoretical analysis based on a model of the human observer and decision maker formulated in terms of linear estimation and classical sequential decision theory was carried out. Model and measurements agree well, although for two subjects failure detection times are larger. Results show that wind shears are detected more slowly than system failures. 收起