Controlling the message: Preschoolers' use of evidence to teach and deceive others

Marjorie Rhodes, Elizabeth Bonawitz, Patrick Shafto, Annie Chen

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

Abstract

Effective communication entails the strategic presentation of evidence; good communicators present representative evidence to their listeners-evidence that is both consistent with the concept being communicated and also unlikely to support another concept a listener might consider. The present study examined whether preschool-age children effectively select evidence to manipulate others' semantic knowledge, by testing how children choose evidence in a teaching or deception task. Results indicate that preschoolers indeed effectively select evidence to meet specific communicative goals. When asked to teach others, children selected evidence that effectively spanned the concept of interest and avoided overly restrictive evidence; when asked to deceive others into believing a narrower concept, they selected evidence consistent with the overly restricted belief. Thus, results support the idea that preschool children possess remarkable abilities to select the best evidence to manipulate what others believe.

Original languageEnglish (US)
Title of host publicationProceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
PublisherThe Cognitive Science Society
Pages218-223
Number of pages6
ISBN (Electronic)9780991196708
StatePublished - 2014
Event36th Annual Meeting of the Cognitive Science Society, CogSci 2014 - Quebec City, Canada
Duration: Jul 23 2014Jul 26 2014

Publication series

NameProceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014

Conference

Conference36th Annual Meeting of the Cognitive Science Society, CogSci 2014
Country/TerritoryCanada
CityQuebec City
Period7/23/147/26/14

Keywords

  • Cognitive development
  • evidential reasoning
  • psychological reasoning
  • teaching and deception

ASJC Scopus subject areas

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

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