Low-level factors increase gaze-guidance under cognitive load: A comparison of image-salience and semantic-salience models

ABSTRACT: Growing evidence links eye movements and cognitive functioning, however there is debate concerning what image content is fixated in natural scenes. Competing approaches have argued that low-level/feedforward and high-level/feedback factors contribute to gaze-guidance. We used one low-level model (Graph Based Visual Salience, GBVS) and a novel language-based high-level model (Global Vectors for Word Representation, GloVe) to predict gaze locations in a natural image search task, and we examined how fixated locations during this task vary under increasing levels of cognitive load. Participants (N = 30) freely viewed a series of 100 natural scenes for 10 seconds each. Between scenes, subjects identified a target object from the scene a specified number of trials (N) back among three distracte

SUBMITTER: Walter K 

PROVIDER: S-EPMC9704686 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature