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Hayes, T. R.

Publications and source records attributed to Hayes, T. R..

2 recordsLinked to original sources

Meaning-based guidance of attention in rhesus monkeys during naturalistic scene viewing

In humans and other primates, high-acuity vision is restricted to the fovea, requiring frequent saccadic eye movements to sample visual information, a process known as overt attention. Classical visual salience theory explains how low-level image features guide these movements, but recent human studies have shown that overt attention is also strongly guided by scene meaning--the spatial distribution of semantic informativeness. Whether this form of attentional guidance is uniquely human or shared across primate vision remains unknown. Here, we addressed this question by recording eye movements from two rhesus macaques freely viewing naturalistic indoor scenes. Fixation selection was modeled using meaning maps alongside image-based salience maps and center proximity. In both monkeys, meaning robustly predicted fixation selection after controlling for visual salience and center bias. Moreover, high-meaning regions captured attention independently of visual salience, whereas salience played an increasingly important role as meaning decreased. While this prioritization of meaningful regions remained robust across environments, familiarity broadened visual exploration by increasing the likelihood of fixating less meaningful areas. Finally, the influence of meaning on fixation selection strengthened with attentional engagement. These findings suggest that meaning-based attention is an evolutionarily conserved component of primate vision and establish a behavioral foundation for investigating its neural mechanisms.

animal behavior and cognition↗

Meaning Guides Attention in Real-World Scenes: Evidence from Eye Movements and Meaning Maps

We compared the influences of meaning and salience on attentional guidance in scene images. Meaning was captured by \"meaning maps\" representing the spatial distribution of semantic information in scenes. Meaning maps were coded in a format that could be directly compared to maps of image salience generated from image features. We investigated the degree to which meaning versus image salience predicted human viewers spatial distribution of attention over scenes, with attention operationalized as duration-weighted fixation density. The results showed that both meaning and salience predicted the distribution of attention, but that when the correlation between meaning and salience was statistically controlled, meaning accounted for unique variance in attention but salience did not. This pattern was observed for early as well as late fixations, for fixations following short as well as long saccades, and for fixations including or excluding the centers of the scenes. The results strongly suggest that meaning guides attention in real world scenes. We discuss the results from the perspective of a cognitive relevance theory of attentional guidance in scenes.

neuroscience↗