  In this paper, we describe a novel approach, based on Markov jump processes,
to model small group conversational dynamics and to predict small group
performance. More precisely, we estimate conversational events such as turn
taking, backchannels, turn-transitions at the micro-level (1 minute windows)
and then we bridge the micro-level behavior and the macro-level performance. We
tested our approach with a cooperative task, the Information Sharing task, and
we verified the relevance of micro- level interaction dynamics in determining a
good group performance (e.g. higher speaking turns rate and more balanced
participation among group members).
