Hierarchical Constraints on the Distribution of Attention in Dynamic Displays

TL;DR

This study shows that human attention to moving objects is influenced by their hidden hierarchical structure, even when it's not part of the task.

Contribution

The paper introduces a novel approach to understanding how latent hierarchical structures affect attention in dynamic scenes.

Findings

Attention is distorted by the latent hierarchical structure of moving objects.

Shorter minimal graph distance leads to smaller cueing effects in attention.

Hierarchical representation construction and attention are spontaneous and automatic.

Abstract

Human vision is remarkably good at recovering the latent hierarchical structure of dynamic scenes. Here, we explore how visual attention operates with this hierarchical motion representation. The way in which attention responds to surface physical features has been extensively explored. However, we know little about how the distribution of attention can be distorted by the latent hierarchical structure. To explore this topic, we conducted two experiments to investigate the relationship between minimal graph distance (MGD), one key factor in hierarchical representation, and attentional distribution. In Experiment 1, we constructed three hierarchical structures consisting of two moving objects with different MGDs. In Experiment 2, we generated three moving objects from one hierarchy to eliminate the influence of different structures. Attention was probed by the classic congruent–incongruent cueing paradigm. Our results show that the cueing effect is significantly smaller when the MGD between two objects is shorter, which suggests that attention is not evenly distributed across multiple moving objects but distorted by their latent hierarchical structure. As neither the latent structure nor the graph distance was part of the explicit task, our results also imply that both the construction of hierarchical representation and the attention to that representation are spontaneous and automatic.

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