13 found
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  1.  31
    Addressees distinguish shared from private information when interpreting questions during interactive conversation.Sarah Brown-Schmidt, Christine Gunlogson & Michael K. Tanenhaus - 2008 - Cognition 107 (3):1122-1134.
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  2.  13
    Real‐Time Investigation of Referential Domains in Unscripted Conversation: A Targeted Language Game Approach.Sarah Brown-Schmidt & Michael K. Tanenhaus - 2008 - Cognitive Science 32 (4):643-684.
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  3.  42
    Memory and Common Ground Processes in Language Use.Sarah Brown-Schmidt & Melissa C. Duff - 2016 - Topics in Cognitive Science 8 (4):722-736.
    During communication, we form assumptions about what our communication partners know and believe. Information that is mutually known between the discourse partners—their common ground—serves as a backdrop for successful communication. Here we present an introduction to the focus of this topic, which is the role of memory in common ground and language use. Two types of questions emerge as central to understanding the relationship between memory and common ground, specifically questions having to do with the representation of common ground in (...)
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  4.  13
    Little houses and casas pequeñas: Message formulation and syntactic form in unscripted speech with speakers of English and Spanish.Sarah Brown-Schmidt & Agnieszka E. Konopka - 2008 - Cognition 109 (2):274-280.
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  5.  11
    The historical context in conversation: Lexical differentiation and memory for the discourse history.Si On Yoon, Aaron S. Benjamin & Sarah Brown-Schmidt - 2016 - Cognition 154 (C):102-117.
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  6.  23
    Ways of looking ahead: Hierarchical planning in language production.Eun-Kyung Lee, Sarah Brown-Schmidt & Duane G. Watson - 2013 - Cognition 129 (3):544-562.
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  7.  21
    Listeners use speaker identity to access representations of spatial perspective during online language comprehension.Rachel A. Ryskin, Ranxiao Frances Wang & Sarah Brown-Schmidt - 2016 - Cognition 147 (C):75-84.
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  8.  24
    Hippocampal contributions to language: Evidence of referential processing deficits in amnesia.Jake Kurczek, Sarah Brown-Schmidt & Melissa Duff - 2013 - Journal of Experimental Psychology: General 142 (4):1346.
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  9.  30
    What is the context of prediction?Si On Yoon & Sarah Brown-Schmidt - 2013 - Behavioral and Brain Sciences 36 (4):376-377.
    We agree with Pickering & Garrod's (P&G's) claim that theories of language processing must address the interconnection of language production and comprehension. However, we have two concerns: First, the central notion of context when predicting what another person will say is underspecified. Second, it is not clear that P&G's dual-mechanism model captures the data better than a single-mechanism model would.
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  10.  4
    Referential Form and Memory for the Discourse History.Si On Yoon, Aaron S. Benjamin & Sarah Brown-Schmidt - 2021 - Cognitive Science 45 (4):e12964.
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  11.  5
    The malleability of linguistic representations poses a challenge to the priming-based experimental approach.Rachel Ryskin & Sarah Brown-Schmidt - 2017 - Behavioral and Brain Sciences 40.
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  12.  2
    What’s New to You? Preschoolers’ Partner-Specific Online Processing of Disfluency.Si On Yoon, Kyong-sun Jin, Sarah Brown-Schmidt & Cynthia L. Fisher - 2021 - Frontiers in Psychology 11.
    Speech disfluencies can signal that a speaker is about to refer to something difficult to name. In two experiments, we found evidence that 4-year-olds, like adults, flexibly interpret a particular partner’s disfluency based on their estimate of that partner’s knowledge, derived from the preceding conversation. In entrainment trials, children established partner-specific shared knowledge of names for tangram pictures with one or two adult interlocutors. In each test trial, an adult named one of two visible tangrams either fluently or disfluently while (...)
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  13.  21
    Priming and alignment: Mechanism or consequence?Sarah Brown-Schmidt & Michael K. Tanenhaus - 2004 - Behavioral and Brain Sciences 27 (2):193-194.
    We agree with Pickering & Garrod's (P&G's) proposal that dialogue is an important empirical and theoretical test bed for models of language processing. However, we offer two cautionary notes. First, the enterprise will require explicit computational models. Second, such models will need to incorporate both joint and separate speaker and hearer commitments in ways that go beyond priming and alignment.
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