Comparing Learning Techniques for Hidden Markov Models of Human Supervisory Control Behavior

Comparing Learning Techniques for Hidden Markov Models of Human Supervisory Control Behavior

Models of human behaviors have been built using many different frameworks. In this paper, we make use of Hidden Markov Models (HMMs) applied to human supervisory control behaviors. More specifically, we model the behavior of an operator of multiple heterogeneous unmanned vehicle systems. The HMM fra...

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Bibliographic Details
Main Authors: Cummings, M. L., Las Fargeas, Jonathan C., Roy, Nicholas, Boussemart, Yves
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: American Institute of Aeronautics and Astronautics 2010
Online Access:http://hdl.handle.net/1721.1/56295
https://orcid.org/0000-0002-8293-0492

Internet

http://hdl.handle.net/1721.1/56295
https://orcid.org/0000-0002-8293-0492

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