Enhanced Metacognition for Unexpected Action Outcomes.

Area of Science:

• Cognitive Neuroscience
• Psychology
• Decision Science

Background:

• Metacognition enables explicit representation of uncertainty in perception and decision-making.
• Theories debate whether metacognitive sensitivity is higher for predictable events or surprising prediction errors.

Purpose of the Study:

• To empirically compare competing theories on the role of prediction in metacognitive sensitivity.
• To investigate how metacognition adapts to expected versus unexpected environmental feedback.

Main Methods:

• Two experiments involving participants performing actions to generate visual outcomes.
• Signal detection analyses to quantify metacognitive sensitivity.
• Reverse correlation and computational modeling to examine underlying mechanisms.

Main Results:

• Metacognitive sensitivity was significantly higher for unexpected outcomes compared to expected ones.
• Computational modeling indicated an enhanced metacognitive gain, not perceptual gain, for unexpected information.
• Results challenge theories predicting greater sensitivity for predictable events.

Conclusions:

• Metacognition is more attuned to surprising prediction errors, aligning with higher-order inference models.
• This mechanism may optimize cognitive and behavioral adaptation in dynamic environments.
• Findings highlight the adaptive role of metacognition in processing unexpected information.