dc.contributor.author | Thomas, Ashley J | |
dc.contributor.author | Saxe, Rebecca | |
dc.contributor.author | Spelke, Elizabeth S | |
dc.date.accessioned | 2023-03-31T14:30:20Z | |
dc.date.available | 2023-03-31T14:30:20Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/150078 | |
dc.description.abstract | <jats:p>Infants are born into networks of individuals who are socially connected. How do infants begin learning which individuals are their own potential social partners? Using digitally edited videos, we showed 12-mo-old infants’ social interactions between unknown individuals and their own parents. In studies 1 to 4, after their parent showed affiliation toward one puppet, infants expected that puppet to engage with them. In study 5, infants made the reverse inference; after a puppet engaged with them, the infants expected that puppet to respond to their parent. In each study, infants’ inferences were specific to social interactions that involved their own parent as opposed to another infant’s parent. Thus, infants combine observation of social interactions with knowledge of their preexisting relationship with their parent to discover which newly encountered individuals are potential social partners for themselves and their families.</jats:p> | en_US |
dc.language.iso | en | |
dc.publisher | Proceedings of the National Academy of Sciences | en_US |
dc.relation.isversionof | 10.1073/PNAS.2121390119 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | PNAS | en_US |
dc.title | Infants infer potential social partners by observing the interactions of their parent with unknown others | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Thomas, Ashley J, Saxe, Rebecca and Spelke, Elizabeth S. 2022. "Infants infer potential social partners by observing the interactions of their parent with unknown others." Proceedings of the National Academy of Sciences of the United States of America, 119 (32). | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | |
dc.contributor.department | Center for Research on Equitable and Open Scholarship | |
dc.contributor.department | Center for Brains, Minds, and Machines | |
dc.relation.journal | Proceedings of the National Academy of Sciences of the United States of America | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2023-03-31T14:22:50Z | |
dspace.orderedauthors | Thomas, AJ; Saxe, R; Spelke, ES | en_US |
dspace.date.submission | 2023-03-31T14:22:52Z | |
mit.journal.volume | 119 | en_US |
mit.journal.issue | 32 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |