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Related Experiment Video

Updated: Jan 25, 2026

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

Value associations bias ensemble perception.

Daniel B Dodgson¹, Jane E Raymond²

¹School of Psychology, University of Birmingham, Edgbaston, Birmingham, UK.

Attention, Perception & Psychophysics

|May 10, 2019

Summary

This summary is machine-generated.

Monetary reward associations bias ensemble perception, influencing average size judgments of visual arrays. This value-biasing effect is eliminated when late-stage visual processing is disrupted.

Keywords:

Attention Ensemble perception Reward Scene perception Working memory

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Area of Science:

Cognitive Psychology
Visual Perception
Neuroscience

Background:

Ensemble perception involves judging average properties of visual elements.
Reward associations are known to influence object processing and attention.
Potential impact of reward on ensemble perception remains underexplored.

Purpose of the Study:

To investigate how monetary reward associations affect ensemble perception of average size.
To determine if value associations bias ensemble size judgments.
To explore the role of processing stage in value-biased ensemble perception.

Main Methods:

Participants estimated average circle size in arrays with varying reward associations.
A learning phase associated colors with high or low rewards.
A test phase presented intermixed subsets, including a high-reward color, with manipulated mean sizes.

Main Results:

Ensemble size estimates were significantly biased by the high-reward-associated subset.
Value associations were shown to modulate ensemble perception.
Disrupting late-stage processing with a pattern mask eliminated value-biasing and improved accuracy.

Conclusions:

Value associations, specifically monetary rewards, can significantly bias ensemble perception.
This bias appears to operate through late, high-level processing stages.
Ensemble perception accuracy can be enhanced when such top-down influences are mitigated.