Predicting pilots' risk-taking behavior through an implicit association test.

Objective: The Implicit Association Test (IAT), in combination with a battery of additional psychometric tests, was employed to examine the accuracy with which it predicts pilots' risk-taking behavior.

Background: Risk management is an integral part of piloting. Many factors affect pilots' risk management, including individual differences. Therefore, employing a unique methodology from social cognition, the present study examined the influence of attitude, as measured implicitly through the IAT, personality, and flight experience variables on pilots' risk-taking behavior.

Method: In addition to a simulated flight on a computer-based flight simulator, 35 pilots completed a battery of psychometric tests.

Results: Among the 6 risk perception variables, 10 risk attitude variables, and 2 experience variables, only 2 variables were found to be significantly related with in-flight risk-taking behavior: everyday risk (risk perception) and the IAT effect (attitude). Of these, the IAT effect was the strongest predictor of flight behavior.

Conclusion: The results indicate that implicit attitudinal measures, such as the IAT, provide a more accurate forecast of pilot behavior than do the more traditional explicit attitudinal or personality measures.

Application: An implicit attitudinal measure can be proactively employed to identify pilots who are potentially more likely to engage in high-risk activities, hence permitting a more strategic approach to pilot training.