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pubmed-article:17638497pubmed:abstractTextA theory of prospective time perception is introduced and incorporated as a module in an integrated theory of cognition, thereby extending existing theories and allowing predictions about attention and learning. First, a time perception module is established by fitting existing datasets (interval estimation and bisection and impact of secondary tasks on attention). The authors subsequently used the module as a part of the adaptive control of thought--rational (ACT-R) architecture to model a new experiment that combines attention, learning, dual tasking, and time perception. Finally, the model predicts time estimation, learning, and attention in a new experiment. The model predictions and fits demonstrate that the proposed integrated theory of prospective time interval estimation explains detailed effects of attention and learning during time interval estimation.lld:pubmed
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pubmed-article:17638497pubmed:authorpubmed-author:AndersonJohnJlld:pubmed
pubmed-article:17638497pubmed:authorpubmed-author:TaatgenNiels...lld:pubmed
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pubmed-article:17638497pubmed:copyrightInfoCopyright 2007 APA.lld:pubmed
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pubmed-article:17638497pubmed:volume114lld:pubmed
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pubmed-article:17638497pubmed:year2007lld:pubmed
pubmed-article:17638497pubmed:articleTitleAn integrated theory of prospective time interval estimation: the role of cognition, attention, and learning.lld:pubmed
pubmed-article:17638497pubmed:affiliationDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. taatgen@cmu.edulld:pubmed
pubmed-article:17638497pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:17638497pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed
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