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The common nature of eye-movement algorithms that ensure that genre scenes will be recognized in texts and in images

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Abstract

This paper discusses the characteristics of eye movement in tasks of recognizing texts and comics with descriptions of dynamic genre scenes. The interconnection of the semantic space of the comics mentally constructed by the observer and the semantic space of test images constructed by the researcher is analyzed by measuring the characteristics of eye movements, which play the role of a distinctive marker that projects onto the test object a subjective algorithm for analyzing the content. The common features inherent to the distribution of saccades and fixations of the gaze in image space when comics and textual images are being experienced probably reflect the algorithm for detecting the semantic, conceptual structure of images common to the analysis of different methods of transferring information in multimedia. This algorithm breaks down under various diseases of the brain. It is assumed that, regardless of the difference of representing information in texts and comics, understanding is provided by common mechanisms for constructing the internal, imaginary, time-varying content.

© 2020 Optical Society of America

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