Variability in advice taking in decision making

Miho Kitamura, Katsumi Watanabe

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

Abstract

We investigated how people would change and vary in accepting advice when the effectiveness of advice was unclear. In each trial, participants estimated a monthly rent of an apartment room based on the attribute list. Then, another estimate by a real-estate agent was given as advice. Participants made a final estimation, either by taking the advice fully, partially, or rejecting it totally. They repeated 48 estimations without feedback. The weight of advice index, representing how much each participant weighed a given advice, gradually decreased as the number of trials increased. Interestingly, the gradual reduction of acceptance was not observed in participants with high empathy and low depressive scores; they kept accepting advice even when the effectiveness of advice was unclear. These results suggest that the willingness of accepting and using advice depends on history of advice taking, the individual traits, and mood.

Original languageEnglish
Title of host publicationCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society
Subtitle of host publicationComputational Foundations of Cognition
PublisherThe Cognitive Science Society
Pages2426-2431
Number of pages6
ISBN (Electronic)9780991196760
Publication statusPublished - 2017
Event39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 - London, United Kingdom
Duration: 2017 Jul 262017 Jul 29

Publication series

NameCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition

Conference

Conference39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
Country/TerritoryUnited Kingdom
CityLondon
Period17/7/2617/7/29

Keywords

  • advice taking
  • decision making
  • individual difference

ASJC Scopus subject areas

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

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