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Related Experiment Video

Updated: Oct 13, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Spatial suppression due to statistical regularities in a visual detection task.

Dirk van Moorselaar^1,2, Jan Theeuwes^3,4

¹Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands. dirkvanmoorselaar@gmail.com.

Attention, Perception & Psychophysics

|November 13, 2021

Summary

This summary is machine-generated.

Observers learn to suppress distractor locations in visual search tasks. This statistical distractor learning occurs even when no target is present, showing attentional suppression is robust.

Keywords:

Attention: space-based Attentional capture Visual search

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Published on: March 18, 2019

Area of Science:

Cognitive Psychology
Neuroscience

Background:

Observers can learn the likely location of salient singleton distractors during visual search.
Previous studies examined this statistical distractor learning in compound search tasks where a target is always present.

Purpose of the Study:

To investigate if statistical distractor learning occurs in a visual detection task.
To examine attentional suppression at high-probability distractor locations in the presence and absence of a target.

Main Methods:

An online variant of the additional singleton paradigm was used.
Participants performed a visual detection task, indicating target presence or absence.
A colored singleton distractor appeared with higher probability at a specific location.

Main Results:

Attentional capture was reduced at high-probability distractor locations, regardless of target presence.
Target processing was impaired at the high-probability distractor location when the distractor was present.
Suppressive effects showed a gradient, scaling with distance from the high-probability distractor location.

Conclusions:

Statistical distractor learning can be observed in visual detection tasks.
Attentional suppression at learned distractor locations is effective even without a target singleton's priority signal.