Influence of prior knowledge on eye movements to scenes as revealed by hidden Markov models.

ABSTRACT: Human visual experience usually provides ample opportunity to accumulate knowledge about events unfolding in the environment. In typical scene perception experiments, however, participants view images that are unrelated to each other and, therefore, they cannot accumulate knowledge relevant to the upcoming visual input. Consequently, the influence of such knowledge on how this input is processed remains underexplored. Here, we investigated this influence in the context of gaze control. We used sequences of static film frames arranged in a way that allowed us to compare eye movements to identical frames between two groups: a group that accumulated prior knowledge relevant to the situations depicted in these frames and a group that did not. We used a machine learning approach based on hidden

SUBMITTER: Pedziwiatr MA 

PROVIDER: S-EPMC10511023 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature