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An approach to processing of user’s commands in human-machine interaction

In spoken human-machine interaction users often produce ”irregular” (e.g., elliptical or minor, etc.) utterances. Forcing them to always produce complete utterances would be too restrictive. Thus, there is a need to develop structures and algorithms that support system’s decision making processes when it is confronted with such user inputs. This paper proposes an approach to processing of user’s commands in human-machine interaction. Attentional information is already recognized as crucial for processing of utterances in discourse. We model attentional information on the level of a user’s command and introduce rules for transition of the focus of attention. Although we also report an implementation for a task-specific scenario, the described modeling method and the introduced rules are intended to be task-independent.

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