Contextual associations of real-world objects guide attention in visual search

Abstract

Growing evidence indicates that visual search is influenced not only by perceptual but also by semantic information. Among such semantic influences, categorical effects have been extensively studied. By contrast, the influence of contextual associations, that is, how objects commonly co-occur within specific scene contexts, remains less understood. Here, we orthogonally manipulated contextual and categorical relationships between target and distractor objects in a visual search task, while controlling for perceptual target-distractor similarity. By applying linear regression analyses, we modelled behavioral responses and event-related potentials (ERPs) from contextual, categorical, and perceptual target-distractor similarity. We found that contextual associations guide attention by interacting with categorical information (modulating the N2pc) and ultimately shape behavioral search performance jointly with perceptual and categorical similarity. These findings demonstrate that contextual object associations can guide attention, thereby supporting efficient search in complex visual environments.