Projects
Human Control Identification
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Time-varying human control identification
Developing methods for quantitative modeling of time-varying changes in human control behavior.
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Objective model selection for human control identification
Data-driven and assumption-free selection of the optimal human control model structure and response dynamics.
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Identification of nonlinear human motion perception thresholds
Determining motion perception thresholds from active control task data using multi-channel human control modeling.