Linked Life Data

17638497

Source:http://linkedlifedata.com/resource/pubmed/id/17638497

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2007-7-19
pubmed:abstractText
A 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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0033-295X
pubmed:author
pubmed:copyrightInfo
Copyright 2007 APA.
pubmed:issnType
Print
pubmed:volume
114
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
577-98
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
An integrated theory of prospective time interval estimation: the role of cognition, attention, and learning.
pubmed:affiliation
Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. taatgen@cmu.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.