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Updated: Dec 1, 2025

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
Published on: May 2, 2019
Confidence can be automatically integrated across two visual decisions
David Aguilar-Lleyda1, Mahiko Konishi2, Jérôme Sackur2
1Centre d'Economie de la Sorbonne (CNRS and Universite Paris 1 Pantheon-Sorbonne).
Confidence judgments in humans are prone to bias, a phenomenon called confidence leak. This study reveals that confidence leak occurs automatically, even when not explicitly measured, suggesting integrated decision-making processes.
Area of Science:
- Cognitive psychology
- Neuroscience
- Decision-making research
Background:
- Human confidence judgments are known to be biased by other estimations, termed confidence leak.
- The automaticity of this confidence leak effect remains largely unexplored.
Purpose of the Study:
- To investigate whether confidence leak in decision-making is an automatic process.
- To determine if confidence is integrated across decisions even without explicit rating requirements.
Main Methods:
- Participants performed two visual decisions and provided confidence ratings for one or both decisions per trial.
- Task difficulty and response accuracy were used as proxies for confidence.
- Experimental conditions varied the requirement for confidence ratings on the second decision.
Main Results:
- Confidence leak was observed: confidence for one decision increased with the confidence associated with another decision, even if unrated.
- This effect persisted even when participants knew no rating would be required for the second decision in one task.
- Results indicate automatic integration of confidence across decisions.
Conclusions:
- Confidence leak appears to be an automatic cognitive process.
- Decision-making confidence is integrated across tasks, suggesting a fundamental mechanism in human cognition.
- Findings contribute to understanding the automaticity of metacognitive judgments.
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