Abstract
The recent evolution of personal laptop cameras and eye-tracking software have created an opportunity to expand web-based science to include eye-tracking. The Gazer Program developed at the University of Victoria implements the essential measures of in-person eye-tracking on a laptop device using the open-source Webgazer software. The current study investigates the Gazer capabilities in a visual search task with faces.