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Poster C83 in Poster Session C - Friday, August 9, 2024, 11:15 am – 1:15 pm, Johnson Ice Rink
Improving metacognitive ability with practice
Zoe Boundy-Singer1, Akash Raj G P1, Corey Ziemba1, Robbe Goris1 (); 1University of Texas at Austin
Observers are aware of the fallibility of perception. When we feel confident in a perceptual interpretation, it is more likely to be correct. However, such metacognitive judgements are imperfect. Performance in difficult perceptual and cognitive tasks can improve with practice. Might metacognitive abilities improve with practice as well? We hypothesized that metacognitive learning may occur when (1) subjects perform a difficult metacognitive task and (2) are provided with useful feedback signals about their metacognitive judgements. To test this, we conducted a series of perceptual confidence experiments and manipulated both metacognitive task difficulty and feedback availability. We fit each subject’s data with a novel dynamic model of perceptual confidence and studied the temporal evolution of metacognitive ability over the course of the task. We found that meta-cognitive learning is a robust, prominent, and general phenomenon, especially in difficult metacognitive tasks that include trial-by-trial metacognitive feedback.
Keywords: metacognition confidence process model