Many years ago, as a grad student attending an LSA summer institute, I took a course from Harvey Sacks and Emanuel Schegloff based on their work with Gail Jefferson, published as "A simplest systematics for the organization of turn-taking in conversation", Language 1974. That paper's abstract:
The organization of taking turns to talk is fundamental to conversation, as well as to other speech-exchange systems. A model for the turn-taking organization for conversation is proposed, and is examined for its compatibility with a list of grossly observable facts about conversation. The results of the examination suggest that, at least, a model for turn-taking in conversation will be characterized as locally-managed, party-administered, interactionally controlled, and sensitive to recipient design. Several general consequences of the model are explicated, and contrasts are sketched with turn-taking organizations for other speech-exchange systems.
At the recent IEEE ICASSP meeting in Dallas, one of the papers that caught my eye was Chi-Chun Lee and Shrikanth Narayanan, "Predicting interruptions in dyadic interactions", ICASSP 2010. Their paper starts like this:
During dyadic spontaneous human conversation, interruptions occur frequently and often correspond to breaks in the information flow between conversation partners. Accurately predicting such dialog events not only provides insights into the modeling of human interactions and conversational turntaking behaviors but can also be used as an essential module in the design of natural human-machine interface. Further, we can capture information such as the likely interruption conditions and interrupter’s signallings by incorporating both conversation agents in the prediction model (we define in this paper the interrupter as the person who takes over the speaking turn and the interruptee as the person who yields the turn). This modeling is predicated on the knowledge that conversation flow is the result of the interplay between interlocutor behaviors. The proposed prediction incorporates cues from both speakers to obtain improved prediction accuracy.
This work comes out of Shrikanth Narayanan's SAIL ("Signal Analysis and Interpretation Laboratory") at USC, where a lot of interesting work is done. But before going on to tell you a little more about this work on interruption-prediction, I want to note the curious lack of communication between the disciplinary configurations represented by these two quoted passages.
Read the rest of this entry »