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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. ...
Human-Automation Path Planning Optimization and Decision Support
(International Journal of Human Computer Studies, 2011)
Path planning is a problem encountered in multiple domains, including unmanned vehicle control, air traffic control, and future exploration missions to the Moon and Mars. Due to the voluminous and complex nature of the ...
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. ...
Paying Attention to the Man behind the Curtain
(IEEE, 2011-03)
In the push to develop smart energy systems, designers have increasingly focused on systems that measure and predict user behavior to effect optimal energy consumption. While such focus is an important component in these ...