A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
User Modeling and User-Adapted Interaction
Towards perceptual intelligence: statistical modeling of human individual and interactive behaviors
Towards perceptual intelligence: statistical modeling of human individual and interactive behaviors
Task-Realization models in contextual graphs
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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Initial training, which concludes by a driving license, is insufficient because new drivers do not know how to contextualize the learned procedures into effective practices. Our goal is to improve the driver's Situation Awareness, i.e. the way in which the driver perceives events in the environment, and the projection of their status in a close future. More precisely, our concern is the way in which the driver evaluates his own competences. Our aim is to make the driver realize his drawbacks and help him to correct them. For this, first, we model drivers' behavior along two approaches, that is, local and global approaches, in order to have a driver model as exhaustive as possible. Second, we educate the driver, helping him to realize his driving's drawbacks. We present in this paper the results of a specific study on driver classification based on the two approaches.