To examine the relationship between expertise, performance, and gaze behavior, eye-tracking was conducted while pilots (n = 24) and non-pilots (n = 26) completed a complex error-detection cockpit task. During this task, video-clips from a pilot’s viewpoint were shown and the participants were asked to detect malfunctions in the cockpit instrument panel. Statistics of eye-tracking results were processed in SPSSStatistics app using two-way repeated measures ANOVA analyses, with AOI as repeated measures factor and independent T-tests. Furthermore, a special measure was calculated to assess scan pattern systematicity differences between pilots and non-pilots, the scan entropy value. Beside, performance on a specific expertise-domain related task, the error-detection cockpit task, generic tasks (Navon Level-Switching task and Coherent Motion task) assessing attentional generic skills were completed by all participants. Outcome scores of generic tasks were analyzed using independent T-tests and a stepwise regression analysis was conducted to assess which generic skill might be related to the specific skill of detecting errors in a cockpit display accurately.