The effect of subjective awareness measures on performance in artificial grammar learning task

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Systematic research into implicit learning requires well-developed awareness-measurement techniques. Recently, trial-by-trial measures have been widely used. However, they can increase complexity of a study because they are an additional experimental variable. We tested the effects of these measures on performance in artificial grammar learning study. Four groups of participants were assigned to different awareness measures conditions: confidence ratings, post-decision wagering, decision strategy attribution or none. Decision-strategy-attribution participants demonstrated better grammar learning and longer response times compared to controls. They also exhibited a conservative bias. Grammaticality by itself was a stronger predictor of strings endorsement in decision-strategy-attribution group compared to other groups. Confidence ratings and post-decision wagering only affected the response times. These results were supported by an additional experiment that used a balanced chunk strength design. We conclude that a decision-strategy-attribution procedure may force participants to adopt an analytical decision-making strategy and rely mostly on conscious knowledge of artificial grammar.

Original languageEnglish
Pages (from-to)116-133
Number of pages18
JournalConsciousness and Cognition
Volume57
DOIs
StatePublished - Jan 2018

Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology

Keywords

  • Artificial grammar learning
  • Awareness measures
  • Confidence ratings
  • Consciousness
  • Decision making
  • Dual process
  • Implicit learning
  • Post-decision wagering
  • Processing strategies
  • Rules
  • Structural knowledge
  • CONSCIOUSNESS
  • INFORMATION
  • ACQUISITION
  • KNOWLEDGE
  • IMPLICIT
  • ABSTRACTION
  • MEMORY
  • RULE
  • SIMILARITY
  • EXPLICIT

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