Measuring "intuition" in the SRT generation task.

Area of Science:

• Cognitive Psychology
• Neuroscience

Background:

• Post-trial attribution judgments are used to assess awareness in learning tasks.
• Artificial grammar learning (AGL) and serial reaction time (SRT) tasks commonly employ these judgments.
• Previous research has utilized these judgments to explore unconscious knowledge acquisition.

Purpose of the Study:

• To critically evaluate the use of intuition attributions in a specific serial reaction time (SRT) task.
• To investigate whether intuition attributions reflect genuine insight or unconscious guessing.
• To reconcile findings with existing literature on unconscious knowledge and control.

Main Methods:

• Analysis of post-trial attribution judgments within the context of the Fu, Dienes, and Fu (2010) SRT task.
• Examination of the task's design, specifically the nature of stimuli and response options.
• Reinterpretation of 'intuition' responses as potentially undifferentiated guesses.

Main Results:

• The interpretation of intuition attributions in the specified SRT task is problematic due to task design.
• Stimuli with limited informational variance may lead to ambiguous attributions.
• Responses categorized as intuitions could stem from unconscious guessing, lacking conscious judgment or structural knowledge.

Conclusions:

• Intuition attributions in the Fu et al. (2010) SRT task may not accurately reflect conscious insight.
• Findings suggest that participants might control unconscious structural knowledge even without conscious awareness.
• The study highlights the need for careful consideration of task design when interpreting attribution judgments in learning paradigms.