Eye movement optimization in visual search

Abstract

In the present study we investigated whether eye movements in visual search are optimized to reduce time on task. Subjects task was to find a target object in a large field of objects that differed based on shape, color, size and numeric label. The target specification was manipulated, directly influencing the average number of fixations it took subjects to find the target object. Although a microstrategy that allowed for parallel saccade programming and information processing was found to be more efficient in terms of time, a serial microstrategy where saccade programming always follows information processing was found to be the more prevalent microstrategy.


Back to Table of Contents