The early eye tracking studies of Yarbus provided descriptive evidence that an observer's
task influences patterns of eye movements, leading to the tantalizing prospect that an
observer's intentions could be inferred from their saccade behavior. We investigate the
predictive value of task and eye movement properties by creating a computational cognitive
model of saccade selection based on instructed task and internal cognitive state using a
Dynamic Bayesian Network (DBN). Understanding how humans generate saccades under …