Predictive models of human supervisory control behavioral patterns using hidden semi-Markov models
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. We propose that Hidden Semi-Markov Models (HSMMs) can be employed to model beha...
| Main Authors: | , |
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| Format: | Article |
| Language: | en_US |
| Published: |
Engineering Applications of Artificial Intelligence
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/86958 |