Segmented trust assessment in autonomous vehicles via eye-tracking - dataset to JICV manuscript  

During the eye-tracking measurement—using a Tobii Pro eye camera—the participants were asked to watch a video shot inside an autonomous vehicle. The video was compiled from publicly available sequences according to two aspects:
1) Different situations are shown from different positions,
2) The eye movements observed at the beginning and at the end of the video can be compared to some extent; therefore, we selected the first and last sections of the video in such a way that the subjects can watch the ride from the same angle and have relatively more time to become involved in the given situation.
The recording consisted of 5 different sequences, within which we defined 29 areas of interest (AOI) 
In terms of the data collected via eye cameras, four important measures can be defined:
−      Average fixation duration: how long a fixation lasted on average within the given AOI.
−      Fixation count: number of fixations within the given AOI.
−      Total fixation duration: total length of fixations within the given AOI.
−      Pupil diameter (right/left): the change in right and left pupil diameter within the given AOI.