The Effect for Category Learning on Recognition Memory: A Signal Detection Theory Analysis

Conference Paper

Previous studies have shown that category learning affects subsequent recognition memory. However, questions remain as to how category learning affects discriminability during recognition. In this three-stage study, we employed sets of simulated flowers with category- and non-category-inclusion features appearing with equal probabilities. In the learning stage, participants were asked to categorize flowers by identifying the category-inclusion feature. Next, in the studying stage, participants memorized a new set of flowers, a third of which belonged to the learned category. Finally, in the testing stage, participants received a recognition test with old and new flowers, some from the learned category, some from a not-learned category, some from both categories, and some from neither category. We applied hierarchical Bayesian signal detection theory models to recognition performance and found that prior category learning affected both discriminability as well as criterion bias. That is, people that learned the category well, exhibited improved discriminability and a shifted bias toward flowers from the learned relative to the not learned category.

Duke Authors

Cited Authors

  • Yin, S; O'Neill, K; Brady, TF; De Brigard, F

Published Date

  • January 1, 2019

Published In

  • Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, Cogsci 2019

Start / End Page

  • 3165 - 3171

International Standard Book Number 10 (ISBN-10)

  • 0991196775

International Standard Book Number 13 (ISBN-13)

  • 9780991196777

Citation Source

  • Scopus