2015 Volume 8 Issue 2 Pages 114-121
Train driver's attentive behavior can be considered to reflect differences in his/her level of expertise. In this paper, the authors investigate train drivers' eye-gaze movements to identify characteristic attentive patterns that can distinguish different levels of driver expertise. Eye-gaze data were collected from measurement experiments in which six active train drivers participated. Classified into experienced and younger drivers groups, the data sets are analyzed using “sequence alignment”, which helps us to extract partial temporal sequences of areas of interest that are common in each group of drivers. Resultant sequences are compared with each other to find features that could distinguish the groups in their visual behavior.