Leveraging Psychometrics of Rational Inattention to Estimate Individual Differences in the Capacity for Cognitive Control

Huang Ham, Nathaniel Daw, Ivan Grahek, Andrew Caplin, Laura A. Bustamante, Sebastian Musslick

Research output: Contribution to conferencePaperpeer-review

Abstract

Recent years have witnessed significant advances in our understanding of bounds on rationality in both cognitive psychology and economics. These two fields have been making separate progress, but time is ripe for unifying these efforts. In this article, we introduce recently developed economic tools, themselves rooted in the psychometric tradition, to quantify individual differences in the capacity for cognitive control. These tools suggest that a reliable assessment of the capacity for cognitive control may be accomplished by examining task performance as a function of reward. We demonstrate through simulation studies that an incentive-informed measure of task performance does a better job of recovering individual differences in one's capacity for cognitive control, compared to the commonly used congruency effect. Furthermore, we show that the economic approach can be used to predict control-dependent behavior across different task settings. We conclude by discussing future directions for the fruitful integration of behavioral economics and cognitive psychology with the aim of improved measurement of individual differences in the capacity for cognitive control.

Original languageEnglish (US)
Pages2222-2229
Number of pages8
StatePublished - 2022
Event44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022 - Toronto, Canada
Duration: Jul 27 2022Jul 30 2022

Conference

Conference44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022
Country/TerritoryCanada
CityToronto
Period7/27/227/30/22

Keywords

  • Bayesian revealed preference
  • executive function
  • individual differences
  • mental effort
  • rational inattention

ASJC Scopus subject areas

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

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