  How do people look at art? Are there any differences between how experienced
and inexperienced art viewers look at a painting? We approach these questions
by analyzing and modeling eye movement data from a cognitive art research
experiment, where the eye movements of twenty test subjects, ten experienced
and ten inexperienced art viewers, were recorded while they were looking at
paintings.
  Eye movements consist of stops of the gaze as well as jumps between the
stops. Hence, the observed gaze stop locations can be thought as a spatial
point pattern, which can be modeled by a spatio-temporal point process. We
introduce some statistical tools to analyze the spatio-temporal eye movement
data, and compare the eye movements of experienced and inexperienced art
viewers. In addition, we develop a stochastic model, which is rather simple but
fits quite well to the eye movement data, to further investigate the
differences between the two groups through functional summary statistics.
