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Related Experiment Video

Updated: Apr 28, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Visual statistical learning can drive object-based attentional selection.

Libo Zhao¹, Joshua D Cosman, Daniel B Vatterott

¹Department of Psychology, University of Iowa, E11 Seashore Hall, Iowa City, IA, 52242-1407, USA.

Attention, Perception & Psychophysics

|June 18, 2014

Summary

This summary is machine-generated.

Visual statistical learning can create object representations that guide attention. Observers showed object-based attention effects after learning shape pairs, suggesting learned statistical regularities form attentional units.

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Area of Science:

Cognitive Psychology
Neuroscience
Visual Perception

Background:

Environmental regularities influence perception, including familiarity judgments.
Visual statistical learning (VSL) is a mechanism for extracting regularities from the environment.
The role of VSL in forming attentional units, specifically object-based attention, remains underexplored.

Purpose of the Study:

To investigate whether statistical co-occurrences learned through VSL can form objects that serve as units of attention.
To determine if VSL can induce object-based attention effects.

Main Methods:

Participants viewed pairs of shapes with specific spatial relationships to facilitate statistical learning.
Object-based attention was assessed by measuring discrimination performance for targets appearing within or between learned shape pairs.
Control experiments were conducted to validate the task and rule out alternative explanations.

Main Results:

Observers demonstrated faster target discrimination when targets appeared within learned shape pairs compared to when they appeared between pairs, indicating an object-based attention effect.
Replication with novel shape pairs confirmed the object-based attention effect.
A negative association was found between the magnitude of the attention effect and familiarity judgments of the learned pairs.

Conclusions:

Statistical co-occurrences learned via VSL can form object representations that function as units of attention.
VSL plays a crucial role in the formation of object-based attention.
The findings contribute to understanding how environmental regularities shape attentional mechanisms.