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Information-integration category learning and the human uncertainty response

  • University of California at Santa Barbara
  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The human response to uncertainty has been well studied in tasks requiring attention and declarative memory systems. However, uncertainty monitoring and control have not been studied in multi-dimensional, information-integration categorization tasks that rely on non-declarative procedural memory. Three experiments are described that investigated the human uncertainty response in such tasks. Experiment 1 showed that following standard categorization training, uncertainty responding was similar in information-integration tasks and rule-based tasks requiring declarative memory. In Experiment 2, however, uncertainty responding in untrained informationintegration tasks impaired the ability of many participants to master those tasks. Finally, Experiment 3 showed that the deficit observed in Experiment 2 was not because of the uncertainty response option per se, but rather because the uncertainty response provided participants a mechanism via which to eliminate stimuli that were inconsistent with a simple declarative response strategy. These results are considered in the light of recent models of category learning and metacognition.

Original languageEnglish
Pages (from-to)536-554
Number of pages19
JournalMemory and Cognition
Volume39
Issue number3
DOIs
StatePublished - 2011

Keywords

  • Categorization
  • Metacognition
  • Non-declarative memory
  • Procedural memory
  • Uncertainty

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