Rebecca K. West

The paper shows people use statistically grounded strategies to form confidence judgments based on sample size and variability, leading to well-calibrated confidence and accuracy.

The paper develops a common algorithm for confidence judgements across visual, auditory, and audio-visual decisions, showing scaled evidence strength models outperform others and suggest a shared algorithm for confidence.

This study shows that confidence in perceptual decisions is influenced by natural image statistics, using a novel psychophysical paradigm.

The paper investigates whether confidence judgments in visual and auditory decisions share common computational processes, finding that scaled evidence strength models best explain the data across modalities.

The paper tests the hypothesis that target detection in natural images is inversely related to spatial similarity with the background, finding that high similarity increases detectability due to phase alignment.

This study shows that temporal integration of sensory events is automatically biased toward more reliable stimuli, even when unbiased responses are possible.