Parametric Analysis of Fixations During Object Search using AI

Abstract

The movement of eyes while looking at visual stimuli is termed as scanpath. One of the major components of scanpath is fixations. The analysis of fixations could provide understanding about individual’s area of interest and behavioral pattern. One of the prominent domains of fixation analysis is object searching amidst surrounding distractions. Fixations have generally been analyzed in terms of parameters. In this paper two parameters of fixations have been analyzed during two experiments of object searching. The parameters have been termed as number of fixations and total fixation duration. The results indicate that fixation parameters are impacted more when objects have been searched in images with low color variations than with multiple object content.