Importantly, ANNs trained on the same task showed folded-X patterns for both manipulations — suggesting the human double-increase pattern reflects metacognitive mechanisms beyond the statistical structure of the task. 4/4
Posts by Kai Xue
Across 2 experiments (Gabor patches + dot motion), we found a clean dissociation: boundary distance → folded-X pattern (confidence up for correct, down for errors); stimulus reliability → double-increase pattern (confidence up for both correct and errors). 3/4
Two ways to manipulate task difficulty: (1) stimulus reliability (changing contrast/coherence to make the stimulus itself unclear); (2) boundary distance change tilt offset (keeping the stimulus clear but harder to categorize). 2/4
Our new paper is out in Cognition! What determines whether confidence follows the classic "folded-X" pattern vs. the "double-increase" pattern? The answer lies in the type of stimulus manipulation. Big thanks to my advisor Doby @dobyrahnev.bsky.social and co-first author @herrickfung.bsky.social !
Importantly, ANNs trained on the same task showed folded-X patterns for both manipulations — suggesting the human double-increase pattern reflects metacognitive mechanisms beyond the statistical structure of the task. 4/4
Across 2 experiments (Gabor patches + dot motion), we found a clean dissociation: boundary distance → folded-X pattern (confidence up for correct, down for errors); stimulus reliability → double-increase pattern (confidence up for BOTH correct and errors). 3/4
Two ways to manipulate task difficulty: (1) stimulus reliability (changing contrast/coherence to make the stimulus itself unclear); (2) boundary distance change tilt offset (keeping the stimulus clear but harder to categorize). 2/4
Huge thanks to Medha Shekhar, @kaixue98.bsky.social, @manurausch.bsky.social, & @dobyrahnev.bsky.social for their guidance and collaboration on this project.
Full article: www.sciencedirect.com/science/arti...
Data and code: github.com/herrickfung/...
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My article "A comprehensive assessment of current methods for measuring metacognition" is finally out in Nature Communications 🎉 If you work on metacognition and think you know the psychometric properties of your favorite measure, you may be surprised.
www.nature.com/articles/s41...
Great to see our research, led by @johannakuci.bsky.social, covered in The Transmitter. One of the more surprising findings to have come out of the lab.