Abstract: Disclosed are systems and methods for monitoring, inter alter, administration compliance, test subject identity, and results quality of computer-administered tests. A test administration unit, an audio-visual data collection unit, and an audio-visual data processing unit are configured to detect testing anomaly events within the testing environment by analyzing audiovisual data from the test subject and environment itself. Disclosed methods include modifying or amending test results because of detected testing anomaly events within the testing environment, verifying the identity of the test subject, and monitoring for compliance with test-administration protocols. Additional methods disclosed include: user facial analysis, including gaze point analysis, for indirect detection of testing anomaly events; user verification using facial recognition, voice recognition, retinal scans, and or other audiovisual biometric protocols; and the like.

Abstract: Methods are provided for calibrating stimulus-response test systems which include a stimulus output device for delivering a stimulus to a subject; and a response input device for receiving a response from the subject.

Abstract: Method are provided for evaluating reaction time data obtained from a stimulus-response testing system. One exemplary method comprises: obtaining reaction time data, the reaction time data comprising a plurality of reaction times, each reaction time comprising an estimate of a time required for a subject to respond to a corresponding stimulus event; assigning a weight to each reaction time in the reaction time data in accordance with a weighting function, the weighting function comprising a rule that defines a mapping between reaction times and corresponding weights; and determining a weighted reaction time metric based at least in part on a sum of the weights assigned to the reaction times in the reaction time data.

Abstract: Aspects of the invention provide systems and methods for controllably adjusting the circadian pacemaker cycle of a subject using light (or other stimulus) through application of model-based predictive control techniques. This approach allows the use of closed-loop feedback to compensate for modeling errors, unknown initial conditions and disturbances. It also allows an optimal level of light (or other stimulus) to be generated based on minimization of a cost function. The cost function may incorporate a term associated with tracking errors and a term associated with the amount of light used. The tracking function may be minimized subject to one or more constraints which may include a minimum and maximum amount of light (or other stimulus).