Mike D. Rinderknecht

The paper introduces a framework to select and validate digital health metrics for assessing sensorimotor impairments using the Virtual Peg Insertion Test, showing its feasibility and validity in neurological patients.

The paper introduces a method to estimate and model intra-subject variability in psychometric functions using simulations and behavioral data, improving reliability estimates in psychophysical assessments.

The paper evaluates sampling procedures for psychometric function estimation using application-specific metrics to improve efficiency and accuracy in clinical settings.

This paper introduces a method to detect sustained inattention during psychophysical experiments, improving threshold estimates by reducing bias from inattentive trials.