Spatiotemporal bias of the human gaze toward hierarchical visual features during natural scene viewing.

ABSTRACT: The human gaze is directed at various locations from moment to moment in acquiring information necessary to recognize the external environment at the fine resolution of foveal vision. Previous studies showed that the human gaze is attracted to particular locations in the visual field at a particular time, but it remains unclear what visual features produce such spatiotemporal bias. In this study, we used a deep convolutional neural network model to extract hierarchical visual features from natural scene images and evaluated how much the human gaze is attracted to the visual features in space and time. Eye movement measurement and visual feature analysis using the deep convolutional neural network model showed that the gaze was more strongly attracted to spatial locations containing higher-

SUBMITTER: Akamatsu K 

PROVIDER: S-EPMC10195860 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature