Measuring inter- and intra-individual differences in visual scan patterns in a driving simulator experiment using active information storage.
Scan pattern analysis has been discussed as a promising tool in the context of real-time gaze-based applications.In particular, information-theoretic measures of scan path predictability, such as the gaze transition entropy (GTE), have been proposed for detecting relevant changes in user state or task demand.These measures model scan patterns as fi