Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them

Abstract

Eye-tracking sequences can be considered in terms of complex networks. On the basis of complex network representation of eye-tracking data, we define a measure, derived from rough set theory, for assessing the cohesion of sacade connections between object components identified in visual stimuli used in eye-tracking experiments. Theoretical foundations given in the paper are supplemented with a numerical example explaining the proposed approach.