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...