David K. Sewell

Confidence Judgments Reflect the Standard Error of Noisy Evidence Samples Across Domains

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.

A common algorithm for confidence judgements across visual, auditory and audio-visual decisions

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.

Priors for natural image statistics inform confidence in perceptual decisions

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

Dopamine alters the effect of brain stimulation on decision-making

This study shows dopamine interacts with tDCS to impair decision accuracy and discriminability in a speed-accuracy trade-off task.

Modality Independent or Modality Specific? Common Computations Underlie Confidence Judgements in Visual and Auditory Decisions

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.