Interruption Control

We are also investigating the conversational context as a filter or sensor to drive other devices. Consider a wearable implementation of the system that tracks the conversational context and determines the level of 'formality'. More specifically, we train two classes: 1) formal or meeting style conversations and 2) colloquial interaction in a social atmosphere. Evidently, the choice of words in each will differ substantially allowing words counts to track the overall 'style of conversation'. Thus, we can detect if the user is in a serious meeting from his choice of words and his wearable device can restrict interruption by other devices (i.e. cellular phones, pager, email beeps, etc.).