The present invention discloses a method for automated analysis of eye movement data, said method comprising the step of: processing data descriptive of eye movements observed in a subject using a computer-based processor by applying classification rules to the data and thereby identifying at least visual fixations experienced by the subject and analyzing gaze-direction information associated with the identified fixations thereby developing data representative of directions in which the subject visually fixated during the period of data collection segregating the developed data, based at least partially on fixation gaze-direction, into delimited data sets, each delimited data set representing an area/object-of-subject-interest existing during the period of data collection and at least one of said delimited data sets representing a region of typical eyes-forward driving based on a high-density pattern assessed from said gaze-direction information and calculating a percentage road center (PRC) driver characteristic from the developed data representing a relative quantification of driver maintained, eyes-forward driving during a prescribed period of time.
