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Predicting meaning in the dyad.

Authors: Kerr, Emilia; Morillon, Benjamin; Strijkers, Kristof;

Predicting meaning in the dyad.

Abstract

This study investigates the role of meaning prediction in dyadic interactions. Participants engaged in a semantic association game in which the predictability of upcoming word categories was manipulated. Results showed that predictability speeds up speech production in both interlocutors. Critically, our study reveals that meaning prediction not only aids language comprehension and subsequent speech production for the interlocutor completing a predictable sentence but enhances even more the response speed of the conversational partner formulating a reply. This result demonstrates an incremental dyadic prediction effect during language interaction. A control experiment in which participants performed the same task but in isolation confirmed that this effect is entirely driven by the interactive context. While participants showed a similar facilitation effect when completing predictable sentences as in the dyadic experiment, the prediction effect for formulating a reply disappeared. These findings reveal fundamental differences in predictive and linguistic processing during communicative interactions versus individual language use. They provide strong empirical support for theories of joint action and dialogue, which emphasize that successful social interaction relies on predicting and representing the linguistic information of both conversational partners.

Country
France
Keywords

Male, Adult, Psycholinguistics, Language production, Interaction, Social Interaction, interaction, prediction, [SCCO] Cognitive science, Semantics, Young Adult, [SCCO.PSYC] Cognitive science/Psychology, Conversation, Humans, Speech, Female, Interpersonal Relations, Psycholingistics, [SCCO.LING] Cognitive science/Linguistics, conversation, Prediction, Comprehension, language production

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid