In this paper, a turn-taking phenomenon taxonomy is introduced, organised accord-ing 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 method-ically replicated in spoken dialogue sys-tems. Five interesting phenomena have been implemented in a simulated environ-ment: the system barge-in with three vari-ants (resulting from either an unclear, an incoherent or a sufficient user message), the feedback and the user barge-in. The experiments reported in the paper illus-trate that how such phenomena are imple-mented is a delicate choice as their impact on the system’s performance is variable. 1

Incrementality as a way of managing the interactions between a dialogue system and its users has been shown to have concrete advantages over the traditional turn-taking frame. Incremental systems are more reactive, more human-like, of-fer a better user experience and allow the user to correct errors faster, hence avoid-ing desynchronisations. Several incremen-tal models have been proposed, however, their core underlying architecture is dif-ferent from the classical dialogue systems. As a result, they have to be implemented from scratch. In this paper, we propose a method to transform traditional dialogue systems into incremental ones. A new module, called the Scheduler is inserted between the client and the service so that from the client’s point of view, the sys-tem behaves incrementally, even though the service does not. 1