In the fast lane toward structure in implicit learning: Non-analytic processing and fluency in artificial grammar learning.

Tobias Johansson

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)

Abstract

This article reports three experiments that investigated the relation between perceptual fluency and non-analytic processing in artificial grammar learning classification. Non-analytic processing was manipulated by invoking response time restrictions. In Experiment 1 there were no response time restrictions for classification decisions (response time: M = 5950 ms), Experiment 2 invoked a response deadline of 2 seconds (response time: M = 1310 ms), and Experiment 3 used a within-subjects response-signal procedure comparing classification after a 500 ms delay (response time: M = 838 ms) with a 2000 ms delay (response time: M = 2280 ms) The results showed that fluency created by masked priming affects classification in artificial grammar learning under conditions of relatively non-analytic processing (Experiment 2 and the short condition of Experiment 3). The results are discussed in relation to different heuristics that participants can use in artificial grammar classification, the fluency heuristic being one of them. The experiments also provided some evidence that metaknowledge of grammaticality in artificial grammar learning may under some circumstances be enhanced by non-analytic processing during testing.
Original languageEnglish
Pages (from-to)129-160
JournalEuropean Journal of Cognitive Psychology
Volume21
Issue number1
DOIs
Publication statusPublished - 2009

Subject classification (UKÄ)

  • Psychology

Keywords

  • non-analytic processing
  • fluency
  • Implicit learning
  • heuristics
  • confidence.
  • artificial grammar learning

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