In this paper, a turn-taking phenomenon taxonomy is introduced, organised according to the level of information conveyed. It is aimed to provide a better grasp of the behaviours used by humans while talking to each other, so that they can be methodically replicated in spoken dialogue systems. Five interesting phenomena have been implemented in a simulated environment: the system barge-in with t...

We propose a new turn-taking framework for spoken dialogue systems in which conversants bid for the turn. This differs from most current turn-taking approaches, where the turn only changes after the holder has released it. Our new framework uses Reinforcement Learning to choose appropriate turn bids, which indirectly estimates the utterance importance. We evaluate this approach in an artificial...

The “turn-taking” system, a notion referring to the dynamics of verbal exchanges in face-to-face interaction, is often presented as hallmark human language (Levinson, 2016). However, recent works have investigated turn-taking mechanisms several nonhuman taxa, thus moment-by-moment coordinated alternation actions or vocalizations, for instance primates birds. These findings been interpreted evid...