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An important decision in the design of automatic conversation understanding systems is the level at which information streams representing specific participants are merged. In the current work, we explore participant-dependence of low-level interactive aspects of conversation, namely the observed contextual preferences for talkspurt deployment. We argue that strong participant-dependence at this level gives cause for merging participant streams as early as possible. We demonstrate that our probabilistic description of talkspurt deployment preferences is strongly participant-dependent, and frequently predictive of participant identity.