Modeling saccade biases

I have been using computational modeling to investigate the role of central and peripheral information on eye movements in images. On this page you can see some examples of the models involved, as well as downloading the code I used to run them (in MATLAB).

We can simulate saccades using a simple model whereby we select possible targets by traversing a 2D probability map. The map is generated based on a window of visibility (which I have manipulated using gaze-contingent displays) and some decision rules. For example, I have been simulating saccades by using either a "window/feature driven" model which chooses locations within the current window or an "information driven" model which chooses locations which will move the window of visibility to capture the most new "stuff".

For more about this model, see Foulsham, T., & Kingstone, A. (2012). Modelling the influence of central and peripheral information on saccade biases in gaze-contingent scene viewing. Visual Cognition, 20 (4 -5), 546-579.

Download

You can download the MATLAB functions I used for simulating saccades here.