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Related Experiment Video

Updated: Aug 19, 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

Generalisation of value-based attentional priority is category-specific.

Andrew Clement¹, Laurent Grégoire¹, Brian A Anderson¹

¹Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.

Quarterly Journal of Experimental Psychology (2006)

|December 1, 2022

Summary

This summary is machine-generated.

Value-driven attentional biases generalize to new examples within a rewarded category but not to semantically related categories. This suggests attentional priority generalization is category-specific.

Keywords:

Attentional capture eye movements reward semantic relationships value-driven attention

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Last Updated: Aug 19, 2025

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

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Published on: January 23, 2017

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Published on: July 5, 2015

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Area of Science:

Cognitive Psychology
Neuroscience

Background:

Previously rewarded stimuli capture attention.
Value-driven attentional biases can occur at the category level.
The generalization of category-level biases is not well understood.

Purpose of the Study:

To investigate if value-driven attentional biases generalize to new exemplars of a category.
To determine if these biases generalize to semantically related categories.
To examine the specificity of value-based attentional priority generalization.

Main Methods:

Modified value-driven attentional capture paradigm.
Participants trained to associate reward with specific object categories.
Test phase involved searching for new categories with critical distractors (new exemplars or related categories).

Main Results:

Participants showed increased fixation on new exemplars of previously rewarded categories.
Longer fixation durations were observed for new exemplars of rewarded categories.
No similar attentional bias was found for semantically related categories.

Conclusions:

Value-driven attentional biases generalize to novel exemplars within a previously rewarded category.
Generalization of attentional priority is specific to the trained category, not broader semantic relationships.
Findings highlight the category-specific nature of value-based attention.