Attentional Blink: An Internal Traffic Jam

Niels A. Taatgen; Ion Juvina; Seth Herd; David Jilk; Sander Martens

Attentional Blink: An Internal Traffic Jam

Niels A. Taatgen, Ion Juvina, Seth Herd, David Jilk, Sander Martens

Wright State University

Research output: Contribution to journal › Article › peer-review

Abstract

In cognitive models, cognitive control can be measured in terms of the number of control states that are used to do the task. In most cases more control leads to better performance. Attentional Blink is an example in which the opposite is true: more control leads to poorer performance. A hybrid ACT-CT- R/Leabra model is used to model both high- and low-control participants using two and one control states, respectively.

Original language	American English
Journal	Default journal
State	Published - Jan 1 2007

Keywords

ACT-R
Cognitive control
Leabra
Multi-tasking

Disciplines

Psychology
Social and Behavioral Sciences

Access to Document

http://sitemaker.umich.edu/iccm2007.org/files/taatgen__juvina__herd__jilk____martens.pdf

Cite this

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title = "Attentional Blink: An Internal Traffic Jam",

abstract = " In cognitive models, cognitive control can be measured in terms of the number of control states that are used to do the task. In most cases more control leads to better performance. Attentional Blink is an example in which the opposite is true: more control leads to poorer performance. A hybrid ACT-CT- R/Leabra model is used to model both high- and low-control participants using two and one control states, respectively.",

keywords = "ACT-R, Cognitive control, Leabra, Multi-tasking",

author = "Taatgen, {Niels A.} and Ion Juvina and Seth Herd and David Jilk and Sander Martens",

year = "2007",

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day = "1",

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journal = "Default journal",

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TY - JOUR

T1 - Attentional Blink: An Internal Traffic Jam

AU - Taatgen, Niels A.

AU - Juvina, Ion

AU - Herd, Seth

AU - Jilk, David

AU - Martens, Sander

PY - 2007/1/1

Y1 - 2007/1/1

N2 - In cognitive models, cognitive control can be measured in terms of the number of control states that are used to do the task. In most cases more control leads to better performance. Attentional Blink is an example in which the opposite is true: more control leads to poorer performance. A hybrid ACT-CT- R/Leabra model is used to model both high- and low-control participants using two and one control states, respectively.

AB - In cognitive models, cognitive control can be measured in terms of the number of control states that are used to do the task. In most cases more control leads to better performance. Attentional Blink is an example in which the opposite is true: more control leads to poorer performance. A hybrid ACT-CT- R/Leabra model is used to model both high- and low-control participants using two and one control states, respectively.

KW - ACT-R

KW - Cognitive control

KW - Leabra

KW - Multi-tasking

UR - https://corescholar.libraries.wright.edu/psychology/73

UR - http://sitemaker.umich.edu/iccm2007.org/files/taatgen__juvina__herd__jilk____martens.pdf

M3 - Article

JO - Default journal

JF - Default journal

ER -

Attentional Blink: An Internal Traffic Jam

Abstract

Keywords

Disciplines

Access to Document

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Cite this