Predicting human visuomotor behaviour in a driving task

L. Johnson, B. Sullivan, M. Hayhoe, D. Ballard
2014 Philosophical Transactions of the Royal Society of London. Biological Sciences  
One contribution of 15 to a Theme Issue 'Seeing and doing: how vision shapes animal behaviour'. Subject Areas: cognition, computational biology The sequential deployment of gaze to regions of interest is an integral part of human visual function. Owing to its central importance, decades of research have focused on predicting gaze locations, but there has been relatively little formal attempt to predict the temporal aspects of gaze deployment in natural multi-tasking situations. We approach this
more » ... problem by decomposing complex visual behaviour into individual task modules that require independent sources of visual information for control, in order to model human gaze deployment on different task-relevant objects. We introduce a softmax barrier model for gaze selection that uses two key elements: a priority parameter that represents task importance per module, and noise estimates that allow modules to represent uncertainty about the state of task-relevant visual information. Comparisons with human gaze data gathered in a virtual driving environment show that the model closely approximates human performance.
doi:10.1098/rstb.2013.0044 pmid:24395971 pmcid:PMC3886332 fatcat:fx3jthvwdfhd7ajx66gkbn6bja