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Cognitive Load Reduces Perceived Linguistic Convergence Between Dyads.

Jennifer Abel1, Molly Babel1

  • 1University of British Columbia, Canada.

Language and Speech
|September 17, 2017
PubMed
Summary
This summary is machine-generated.

Speech convergence, where talkers become more similar, occurs less with increased task difficulty. This study found speech similarity decreased as cognitive load rose during collaborative tasks.

Keywords:
Speech convergencecognitive workloadspeech perception

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Area of Science:

  • Psychology
  • Linguistics
  • Cognitive Science

Background:

  • Speech convergence describes the phenomenon where individuals' speech patterns become more alike during interaction.
  • Understanding the cognitive and social mechanisms driving speech convergence is crucial for explaining human communication dynamics.

Purpose of the Study:

  • To investigate the impact of varying task difficulty on the occurrence and extent of speech convergence within dyads.
  • To explore the relationship between cognitive load, task performance, and speech acoustic similarity.

Main Methods:

  • Thirty participants were organized into dyads to collaboratively assemble LEGO constructions with incomplete visual and instructional information.
  • Three levels of task difficulty were implemented, and task performance was quantified by completion time and error rates.
  • Speech samples were analyzed for acoustic similarity (amplitude envelope) and perceptually evaluated by naive listeners.

Main Results:

  • Perceptual judgments indicated speech convergence in easy tasks, with reduced convergence in medium tasks and no convergence in hard tasks.
  • Acoustic analyses revealed speech similarity correlated with shorter completion times and lower error rates, indicative of easier tasks.
  • Speech convergence was observed to be a variable behavior, more prevalent under conditions of lower cognitive load.

Conclusions:

  • Task difficulty significantly modulates speech convergence, suggesting cognitive load is a key factor influencing this phenomenon.
  • Findings support the notion that speech convergence may be more likely to occur when cognitive resources are not heavily taxed.
  • The results have implications for refining current models of speech convergence, incorporating both automatic and social factors influenced by cognitive demands.