Now showing items 1-3 of 3
Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models
(Engineering Applications of Artificial Intelligence, 2011)
Behavioral models of human operators engaged in complex,time-critical high-risk domains, such as those typical in Human Supervisory Control (HSC) settings, are of great value because of the high cost of operator failure. ...
Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings
(Journal of Aerospace Computing, Information, and Communication, 2011)
In this paper, we model operator states using hidden Markov models applied to human supervisory control behaviors. More specifically, we model the behavior of an operator of multiple heterogeneous unmanned vehicle systems. ...
A Model-Based Measure to Assess Operator Adherence to Procedure
Procedures play an important role in domains where humans interact with critical, complex systems. In such environments, the operator’s ability to correctly follow a given set of procedures can directly impact system safety. ...