Mobile eye-tracking provides the fairly unique opportunity to record and elucidate cognition in action. In our research,
we are searching for patterns in, and distinctions between, the visual-search performance of experts and novices in the
geo-sciences. Traveling to regions resultant from various geological processes as part of an introductory field studies
course in geology, we record the prima facie gaze patterns of experts and novices when they are asked to determine the
modes of geological activity that have formed the scene-view presented to them. Recording eye video and scene video
in natural settings generates complex imagery that requires advanced applications of computer vision research to generate
registrations and mappings between the views of separate observers. By developing such mappings, we could then place
many observers into a single mathematical space where we can spatio-temporally analyze inter- and intra-subject fixations,
saccades, and head motions. While working towards perfecting these mappings, we developed an updated experiment
setup that allowed us to statistically analyze intra-subject eye-movement events without the need for a common domain.
Through such analyses we are finding statistical differences between novices and experts in these visual-search tasks. In
the course of this research we have developed a unified, open-source, software framework for processing, visualization,
and interaction of mobile eye-tracking and high-resolution panoramic imagery.