Abstract
When searching for a target within an image, our brain can adopt
different strategies, but which one does it choose? This question can be
answered by tracking the motion of the eye while it executes the task.
Following many individuals performing various search tasks, we
distinguish between two competing strategies. Motivated by these
findings, we introduce a model that captures the interplay of the search
strategies and allows us to create artificial eye-tracking trajectories,
which could be compared with the experimental ones. Identifying the
model parameters allows us to quantify the strategy employed in terms of
ensemble averages, characterizing each experimental cohort. In this way,
we can discern with high sensitivity the relation between the visual
landscape and the average strategy, disclosing how small variations in
the image induce changes in the strategy.
Users
Please
log in to take part in the discussion (add own reviews or comments).