Analysis of Fixation Parameters During Visual Search Using AI

Abstract

The path traversed by eye movements is called as scanpath. The event of scanpath majorly consists of two components that include saccades and fixations. While saccades represent random movements of eyes, the fixations are related to viewing visual scene regions for a constant period of time. Fixations have been an important scanpath component that could reveal behavioral characteristics of individuals during various real life domains. One of the important domains of eye movement analysis is visual search where a target object has to be found among a group of distracters. Analysis of fixations during visual search could reveal vital information about search pattern of individuals. Many interactive and diagnostic applications could be developed based on information about search pattern of individuals.

There are various parameters related to fixation components of eye movements. Fixations have been generally analyzed in terms of fixation parameters. In this paper two important fixation parameters that include maximum fixation duration and total fixation duration has been analyzed during two experiments of visual search. The results suggest complexity of image during visual search impacts identified parameters of fixation.