Christian Lebiere

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Publications by Christian Lebiere (bibliography)

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» 2003 «

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Gonzalez, Cleotilde, Lerch, F. Javier and Lebiere, Christian (2003): Instance-based learning in dynamic decision making. In Cognitive Science, 27 (4) pp. 591-635

» 1997 «

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Anderson, John R., Matessa, Michael and Lebiere, Christian (1997): ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention. In Human-Computer Interaction, 12 (4) pp. 439-462

The ACT-R system is a general system for modeling a wide range of higher level cognitive processes. Recently, it has been embellished with a theory of how its higher level processes interact with a visual interface. This includes a theory of how visual attention can move across the screen, encoding information into a form that can be processed by ACT-R. This system is applied to modeling several classic phenomena in the literature that depend on the speed and selectivity with which visual attention can move across a visual display. ACT-R is capable of interacting with the same computer screens that subjects do and, as such, is well suited to provide a model for tasks involving human-computer interaction. In this article, we discuss a demonstration of ACT-R's application to menu selection and show that the ACT-R theory makes unique predictions, without estimating any parameters, about the time to search a menu. These predictions are confirmed.

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Changes to this page (author)

25 Feb 2010: Enabled abstracts to be shown on Christian Lebiere's author page.
01 Jun 2009: Author was edited
28 Apr 2003: Added the author to the bibliography

Publication statistics

Publication period:1997-2003
Publication count:2
Number of co-authors:4



Productive colleagues

Christian Lebiere's 3 most productive colleagues in number of publications:

John R. Anderson:28
F. Javier Lerch:11
Cleotilde Gonzalez:5


Collaboration count

Number of publications with 3 favourite co-authors:

F. Javier Lerch:1
Cleotilde Gonzalez:1
Michael Matessa:1

 

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Mar 19

As a rule, software systems do not work well until they have been used, and have failed repeatedly, in real applications.

-- Dave Parnas

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