Highly automated vehicles (HAVs) are bringing new perspectives for the field of automotive ergonomics. By the time the driver is not constantly on the decision-making loop of the task, his/her performance for resuming control of the automation in safety-critical situations seems to be diminished. To mitigate this problem, many authors believe that by understanding drivers information scanning patterns and decision-making process during transitions of control in vehicle automation it is possible to design tools better adapted to support them in this activity, by providing relevant information in appropriate times. Based on this issue, this research aimed to categorize driver s reliance on the different information provided by the system s HMI during transitions of control in different levels of automation. The research followed a driving simulator experimental approach, where drivers were exposed to different take-over scenarios and their gaze behaviour was measured to test the hypothesis that they generally rely on information on the road to gain situation awareness, and only access the information on the HMI in cases of transitions of control, to check the system status. The results suggest that driver s gaze behaviour patterns are susceptible to influence of two main factors: the level of automation and the task in hand. It was observed that the more information presented on the HMI, the more drivers will look at it. Active information about the road environment have enhanced drivers performance during transitions of control, but it was not reflected in terms of perceived usability of the systems.