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dc.contributor.authorRubio-Fernandez, Paula
dc.contributor.authorMollica, Francis
dc.contributor.authorOraa Ali, Michelle
dc.contributor.authorGibson, Edward A
dc.date.accessioned2020-12-11T18:52:26Z
dc.date.available2020-12-11T18:52:26Z
dc.date.issued2019-12
dc.date.submitted2019-06
dc.identifier.issn0010-0277
dc.identifier.urihttps://hdl.handle.net/1721.1/128816
dc.description.abstractThere is an ongoing debate, both in philosophy and psychology, as to whether people are able to automatically infer what others may know, or whether they can only derive belief inferences by deploying cognitive resources. Evidence from laboratory tasks, often involving false beliefs or visual-perspective taking, has suggested that belief inferences are cognitively costly, controlled processes. Here we suggest that in everyday conversation, belief reasoning is pervasive and therefore potentially automatic in some cases. To test this hypothesis, we conducted two pre-registered self-paced reading experiments (N1 = 91, N2 = 89). The results of these experiments showed that participants slowed down when a stranger commented ‘That greasy food is bad for your ulcer’ relative to conditions where a stranger commented on their own ulcer or a friend made either comment – none of which violated participants’ common-ground expectations. We conclude that Theory of Mind models need to account for belief reasoning in conversation as it is at the center of everyday social interaction.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.cognition.2019.104011en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleHow do you know that? Automatic belief inferences in passing conversationen_US
dc.typeArticleen_US
dc.identifier.citationRubio-Fernandez, Paula et al. "How do you know that? Automatic belief inferences in passing conversation." Cognition 193 (December 2019): 104011 © 2019 Elsevier B.V.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalCognitionen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-10-01T16:36:29Z
dspace.date.submission2019-10-01T16:36:30Z
mit.journal.volume193en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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