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Related Experiment Video

Updated: May 17, 2026

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

A mixture distribution of spatial attention.

Jing Feng¹, Ian Spence

¹Rotman Research Institute, Baycrest Centre for Geriatric Care, Toronto, Canada. jing.psy@gmail.com

Experimental Psychology

|November 7, 2012

Summary

This summary is machine-generated.

Spatial selective attention can be modeled as a mixture of distributions, reconciling unified and multiple foci theories. Cue separation determines if attention is divided, impacting target identification.

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Area of Science:

Cognitive Psychology
Neuroscience
Visual Attention

Background:

Conflicting theories exist regarding spatial selective attention: unified-focus and multiple-foci.
Both theories are supported by experimental data, creating a paradox.
Reconciliation requires examining underlying spatial mechanisms.

Purpose of the Study:

To propose and test a model of attention deployment as a mixture of individual distributions.
To reconcile the unified-focus and multiple-foci theories of spatial attention.
To investigate the role of cue separation in attentional division.

Main Methods:

Two experiments were conducted involving target identification among distractors.
Participants identified targets presented at varying distances from cued locations.
The spatial distribution of attention was analyzed based on performance.

Main Results:

Attention distribution can be accurately described as a mixture of distributions, each centered on a cued location.
Experiment 1 confirmed the mixture distribution model.
Experiment 2 demonstrated that cue separation is a key factor in determining attentional division.

Conclusions:

The unified-focus and multiple-foci theories are reconcilable through a mixture distribution model of attention.
Spatial attention is not strictly unified or divided but exists on a continuum influenced by cue separation.
This provides a more nuanced understanding of spatial selective attention mechanisms.