Interruptions Reduce Confidence Judgments: Predictions of Three Sequential Sampling Models

Abstract

The relationship between confidence and accuracy has been modeled many times. This paper compares and contrasts three decision-making mathematical models (2DSD, Poisson, RTCON2) of confidence and investigates how each model predicts the effects of interruptions on accuracy, decision response time, confidence, and confidence response time.


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