Systematic cross-domains and cross-sessions comparison of local metacognitive metrics showed that local metacognitive bias was indeed more reliable between sessions than between domains!

In memory 💭, we found that both local accuracy and confidence contributed to global confidence, whereas in perception 👁️, global confidence was predicted by local confidence alone, suggesting that it forms from a mixture of domain-specific and domain-general local contributors 🧐

In both domains and during test and retest, participants made decisions in blocks containing 2 item categories and selected the one they believed they performed better on, reflecting global confidence. With this we can estimate the individual contribution of each local cue to global confidence:

While most research on metacognition focuses on local confidence, our ability to assess accuracy on a trial-by-trial basis, real-world decisions often rely on global confidence, a broader judgment of overall success, measured through self-performance estimates.

🚨 New preprint! 🚨
Very happy to share our latest work on metacognition with M. Rouault, A. McWilliams, F. Chartier, @kndiaye.bsky.social and @smfleming.bsky.social where we identify contributors to self-performance estimates across memory and perception domains 👇
osf.io/preprints/ps...