Enhancing human understanding through intelligent explanations
conference paper
Ambient systems that explain their actions promote the user's understanding as they give the user more insight in the e®ects of their behavior on the environment. In order to provide individualized intelligent explanations, we need not only to evaluate a user's observable behavior, but we also need to make sense of the underlying beliefs, intentions and strategies. In this paper we argue for the need of intelligent explanations, identify the requirements of such explanations, propose a method
to achieve generation of intelligent explanations, and report on a prototype in the training of naval situation assessment and decision making. We discuss the implications of intelligent explanations in training and set the agenda for future research.
Key words: Explanations, simulation-based training, intelligent tutoring systems, cognitive modeling, feedback, learning
to achieve generation of intelligent explanations, and report on a prototype in the training of naval situation assessment and decision making. We discuss the implications of intelligent explanations in training and set the agenda for future research.
Key words: Explanations, simulation-based training, intelligent tutoring systems, cognitive modeling, feedback, learning
TNO Identifier
19178
Source title
Proceedings of the First International Workshop on Human Aspects in Ambient Intelligence (AmI07), Darmstadt, Germany
Editor(s)
Bosse, T.
Castelfranchi, C.
Neerincx, M.
Sadria, F.
Treur, J.
Castelfranchi, C.
Neerincx, M.
Sadria, F.
Treur, J.
Pages
73 - 83
Files
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