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Multimodal Language Processing in Human Communication.

Judith Holler1, Stephen C Levinson2

  • 1Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands.

Trends in Cognitive Sciences
|June 26, 2019
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Summary
This summary is machine-generated.

Human language processing in face-to-face interaction efficiently binds multiple signals despite time constraints. This challenges cognitive load expectations, suggesting unique psycholinguistic mechanisms at play.

Keywords:
bindingcross-level predictionmultimodal gestaltsmultimodal languagesegregation

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Area of Science:

  • Psycholinguistics
  • Cognitive Science
  • Linguistics

Background:

  • Human language naturally occurs in face-to-face interactions.
  • These interactions involve complex multimodal signal exchanges.
  • Understanding language processing in this natural context presents unique challenges.

Purpose of the Study:

  • To investigate the psycholinguistic processing of multimodal signals in natural language interactions.
  • To explore how the brain binds temporally offset signals under tight conversational timing.
  • To propose cognitive mechanisms explaining efficient processing despite constraints.

Main Methods:

  • The study proposes a theoretical framework for multimodal, situated psycholinguistics.
  • It analyzes the cognitive mechanisms involved in binding multiple signals.
  • It considers the constraints of conversational turn-taking systems.

Main Results:

  • Contrary to expectations, processing multimodal signals in natural interaction does not overload the cognitive system.
  • The brain efficiently binds multiple, temporally offset signals.
  • Cognitive mechanisms facilitate rapid processing within conversational turn-taking.

Conclusions:

  • A multimodal, situated psycholinguistic framework is necessary to fully understand human language processing.
  • The findings highlight the brain's remarkable ability to manage complex linguistic input in real-time.
  • Further research is needed to elucidate the proposed cognitive mechanisms.