The speed of metacognition: Taking time to get to know one’s structural knowledge

► The speed of responses in AGL depends on conscious status of structural knowledge. ► Conscious knowledge is faster than unconscious knowledge independent of confidence. ► Deadlines affect the quality of unconscious but the amount of conscious knowledge. ► Results support dual process theory and hi...

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Veröffentlicht in:Consciousness and cognition 2013-03, Vol.22 (1), p.123-136
Hauptverfasser: Mealor, Andy D., Dienes, Zoltan
Format: Artikel
Sprache:eng
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Zusammenfassung:► The speed of responses in AGL depends on conscious status of structural knowledge. ► Conscious knowledge is faster than unconscious knowledge independent of confidence. ► Deadlines affect the quality of unconscious but the amount of conscious knowledge. ► Results support dual process theory and higher order theories of meta-cognition. The time course of different metacognitive experiences of knowledge was investigated using artificial grammar learning. Experiment 1 revealed that when participants are aware of the basis of their judgments (conscious structural knowledge) decisions are made most rapidly, followed by decisions made with conscious judgment but without conscious knowledge of underlying structure (unconscious structural knowledge), and guess responses (unconscious judgment knowledge) were made most slowly, even when controlling for differences in confidence and accuracy. In experiment 2, short response deadlines decreased the accuracy of unconscious but not conscious structural knowledge. Conversely, the deadline decreased the proportion of conscious structural knowledge in favour of guessing. Unconscious structural knowledge can be applied rapidly but becomes more reliable with additional metacognitive processing time whereas conscious structural knowledge is an all-or-nothing response that cannot always be applied rapidly. These dissociations corroborate quite separate theories of recognition (dual-process) and metacognition (higher order thought and cross-order integration).
ISSN:1053-8100
1090-2376
DOI:10.1016/j.concog.2012.11.009