Now showing items 34-36 of 69

    • Supervised vs. Unsupervised Learning for Operator State Modeling in Unmanned Vehicle Settings 

      Boussemart, Y.; Cummings, M.L.; Las Fargeas, J.; Roy, N. (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. ...
    • Operator Choice Modeling for UAV Visual Search Tasks 

      Bertuccelli, L.F.; Cummings, M.L. (IEEE Transactions, 2012-09)
      Unmanned aerial vehicles (UAVs) provide unprecedented access to imagery of possible ground targets of interest in real time. The availability of this imagery is expected to increase with envisaged future missions of one ...
    • Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models 

      Boussemart, Y.; Cummings, M.L. (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. ...