Words and non-speech sounds access lexical and semantic knowledge differently

Peiyao Chen, James Bartolotti, Scott R. Schroeder, Sirada Rochanavibhata, Viorica Marian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using an eye-tracking paradigm, we examined the strength and speed of access to lexical knowledge (e.g., our representation of the word dog in our mental vocabulary) and semantic knowledge (e.g., our knowledge that a dog is associated with a leash) via both spoken words (e.g., “dog”) and characteristic sounds (e.g., a dog's bark). Results show that both spoken words and characteristic sounds activate lexical and semantic knowledge, but with different patterns. Spoken words activate lexical knowledge faster than characteristic sounds do, but with the same strength. In contrast, characteristic sounds access semantic knowledge stronger than spoken words do, but with the same speed. These findings reveal similarities and differences in the activation of conceptual knowledge by verbal and non-verbal means and advance our understanding of how auditory input is cognitively processed.

Original languageEnglish (US)
Title of host publicationProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018
PublisherThe Cognitive Science Society
Pages1470-1475
Number of pages6
ISBN (Electronic)9780991196784
StatePublished - 2018
Event40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018 - Madison, United States
Duration: Jul 25 2018Jul 28 2018

Publication series

NameProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018

Conference

Conference40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018
Country/TerritoryUnited States
CityMadison
Period7/25/187/28/18

Keywords

  • eye-tracking
  • lexical competition
  • semantic competition
  • sound processing
  • speech comprehension

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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