Classifying Human Control Behaviour by Artificial Intelligence

Traditional analysis of human manual control behaviour is currently constrained by the linear time-invariant assumption of the state-of-the-art “cybernetic” approach. This implies that time-varying and nonlinear aspects of human behaviour are generally overlooked, while these could be critical characteristic factors in, for example, the...

Online Time-Varying Identification and Detection of Operator Adaptation with Recursive ARX Models

Identifying the time-varying, adapting human operator online could enable adaptive human-machine support systems and attention monitoring for human-in-the-loop vehicle control tasks. A validated, online identification method, including adaptation detection is missing, however.<br/><br/>In this MSc thesis project, online human operator...

Human-Operator Identification with Time-Varying ARX Models

The time-varying adaptation ability of human operators in basic manual-control tasks is barely understood. Most identification methods do not explicitly take into account any time variations. An identification procedure based on both batch and recursive autoregressive exogenous (ARX) models is presented for capturing the operator's controlled...

A Dexterous Teleoperator for Hazardous Environments