It is natural in a visual search to look at any object that is similar to the target so that it can be recognised and a decision made to end the search. Eye tracking technology offers an intimate and immediate way of interpreting users' behaviours to guide a computer search through large image databases. This paper describes experiments carried out to explore the relationship between gaze behaviour and a visual attention model that identifies regions of interest in image data. Results show that there is a difference in behaviour on images that do and do not contain a clear region of interest.