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Mindreading in conversation.

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Summary
This summary is machine-generated.

Human social intelligence in conversation relies on "factive" mentalizing, monitoring knowledge without complex belief inference. This efficient process contrasts with slower, taxing nonfactive mentalizing used in specific contexts like deception.

Keywords:
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Area of Science:

  • Cognitive Science
  • Linguistics
  • Social Psychology

Background:

  • Standard conversational models propose constant, rapid mind-reading for language processing.
  • Evidence suggests mental state attribution, especially belief attribution, is slow and effortful.
  • Belief attribution requires decoupled representations, considered a hallmark of complex mind-reading.

Purpose of the Study:

  • To challenge the pervasive role of complex mind-reading in everyday conversation.
  • To propose and model "factive" mentalizing as an efficient alternative for monitoring epistemic states.
  • To delineate the functions of factive versus nonfactive mentalizing in conversational contexts.

Main Methods:

  • Theoretical argumentation for a shift towards factive mentalizing.
  • Proposal of a model detailing the components of factive mentalizing.
  • Analysis of conversational functions for both factive and nonfactive mentalizing.

Main Results:

  • Factive mentalizing allows efficient, real-time monitoring of others' knowledge without decoupling.
  • Nonfactive mentalizing (belief attribution) is reserved for specific, less common conversational functions.
  • These functions include meta-linguistic repair, deception, and argumentation.

Conclusions:

  • Conversational social intelligence primarily utilizes efficient factive mentalizing.
  • Nonfactive mentalizing plays a more limited, specialized role in conversation.
  • Further research is needed to fully understand the interplay of factive and nonfactive mentalizing.