Humans can monitor their own mental lives and build representations that contain knowledge about themselves. This capacity to introspect and report one’s own mental states, or in other words knowing how much one knows, is termed metacognition.
Although metacognition is crucial to behave adequately in a complex environment, metacognitive judgments are often suboptimal. Specifically for neurological and psychiatric diseases, metacognitive failures are highly prevalent, with severe consequences in terms of quality of life.
Our research aims to explain the determining factors of metacognitive failures. We think that metacognition does not operate in a vacuum but relies on the monitoring of signals from the body, and more specifically, on motor signals involved during action execution.
We are now conducting experiments to test this idea, funded by a starting grant from the European Research Council.
Dobromir Rahnev, Tarryn Balsdon, Lucie Charles, Vincent de Gardelle, Rachel Denison, Kobe Desender, Nathan Faivre, Elisa Filevich, Stephen Fleming, Janneke Jehee, Hakwan Lau, Alan Lee, Shannon Locke, Pascal Mamassian, Brian Odegaard, Megan Peters, Gabriel Reyes, Marion Rouault, Jérôme Sackur, Jason Samaha, Claire Sergent, Maxine Sherman, Marta Siedlecka, David Soto, Alexandra Vlassova, Ariel Zylberberg
(2022).
Consensus goals for the field of visual metacognition.
Perspectives on Psychological Science.