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

Publication ,  Conference
Yin, S; O'Neill, K; Brady, TF; De Brigard, F
Published in: Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
January 1, 2019

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 Scholars

Published In

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

ISBN

9780991196777

Publication Date

January 1, 2019

Start / End Page

3165 / 3171
 

Citation

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Yin, S., O’Neill, K., Brady, T. F., & De Brigard, F. (2019). The Effect for Category Learning on Recognition Memory: A Signal Detection Theory Analysis. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 (pp. 3165–3171).
Yin, S., K. O’Neill, T. F. Brady, and F. De Brigard. “The Effect for Category Learning on Recognition Memory: A Signal Detection Theory Analysis.” In Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019, 3165–71, 2019.
Yin S, O’Neill K, Brady TF, De Brigard F. The Effect for Category Learning on Recognition Memory: A Signal Detection Theory Analysis. In: Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. 2019. p. 3165–71.
Yin, S., et al. “The Effect for Category Learning on Recognition Memory: A Signal Detection Theory Analysis.” Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019, 2019, pp. 3165–71.
Yin S, O’Neill K, Brady TF, De Brigard F. The Effect for Category Learning on Recognition Memory: A Signal Detection Theory Analysis. Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. 2019. p. 3165–3171.

Published In

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

ISBN

9780991196777

Publication Date

January 1, 2019

Start / End Page

3165 / 3171