Attention allocation modeling under multi-factor condition

To investigate pilot attention allocation, subjective expectancy utility theory and salient-expectancy-effort-value (SEEV) model were applied to establish a forecast model. Based on recent study, the model was consisted of information importance, occurring probability, salient and effort which represented for the both methods of information processing. In order to validate the model, 16 subjects performed an instrument supervision task under different priority and display usage conditions, and fixation distribution was recorded as evaluation index. The subjects were asked to monitor the information targets presented on the head-up display simulation interface and respond to abnormal information by pressing the corresponding button on the keyboard. The experiment results revealed that the model accounted for 83% of the variance in visual attention allocation between conditions. The present study could provide ergonomics evidence with cockpit display interface design.