Document Detail

Applying machine learning to infant interaction: the development is in the details.
MedLine Citation:
PMID:  20863654     Owner:  NLM     Status:  MEDLINE    
The face-to-face interactions of infants and their parents are a model system in which critical communicative abilities emerge. We apply machine learning methods to explore the predictability of infant and mother behavior during interaction with an eye to understanding the preconditions of infant intentionality. Overall, developmental changes were most evident when the probability of specific behaviors was examined in specific interactive contexts. Mother's smiled predictably in response to infant smiles, for example, and infant smile initiations become more predictable over developmental time. Analysis of face-to-face interaction--a tractable model system--promise to pave the way for the construction of virtual and physical agents who are able to interact and develop.
Daniel M Messinger; Paul Ruvolo; Naomi V Ekas; Alan Fogel
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2010-09-21
Journal Detail:
Title:  Neural networks : the official journal of the International Neural Network Society     Volume:  23     ISSN:  1879-2782     ISO Abbreviation:  Neural Netw     Publication Date:    2010 Oct-Nov
Date Detail:
Created Date:  2010-10-18     Completed Date:  2011-01-28     Revised Date:  2013-05-27    
Medline Journal Info:
Nlm Unique ID:  8805018     Medline TA:  Neural Netw     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1004-16     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Ltd. All rights reserved.
University of Miami, United States.
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MeSH Terms
Aging / psychology
Artificial Intelligence*
Child Development
Emotions / physiology
Fixation, Ocular / physiology
Infant Behavior / psychology*
Interpersonal Relations*
Models, Psychological
Models, Statistical
Mother-Child Relations
Reinforcement (Psychology)
Social Behavior
Stochastic Processes
Grant Support
R01 HD047417/HD/NICHD NIH HHS; R01 HD047417-01A1/HD/NICHD NIH HHS; R01 HD047417-02/HD/NICHD NIH HHS; R01 HD047417-03/HD/NICHD NIH HHS; R01 HD047417-04/HD/NICHD NIH HHS; R01 HD047417-05/HD/NICHD NIH HHS; R01 HD057284/HD/NICHD NIH HHS; R01 MH48680/MH/NIMH NIH HHS

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