The taking of turns is a fundamental aspect of dialogue. Since it is difficult to speak and listen
at the same time, the participants need to coordinate who is currently speaking and when …

As interactive voice response systems become more prevalent and provide increasingly
more complex functionality, it becomes clear that the challenges facing such systems are not …

Crowd-powered conversational assistants have been shown to be more robust than
automated systems, but do so at the cost of higher response latency and monetary costs. A …

This paper introduces the Finite-State Turn-Taking Machine (FSTTM), a new model to
control the turn-taking behavior of conversational agents. Based on a non-deterministic finite …

This paper describes a fully incremental dialogue system that can engage in dialogues in a
simple domain, number dictation. Because it uses incremental speech recognition and …

We present a first step towards a model of speech generation for incremental dialogue
systems. The model allows a dialogue system to incrementally interpret spoken input, while …

Cognitive functioning that affects user behaviors is an important factor to consider when
designing interactive systems for the elderly, including emerging voice-based dialogue …

We report on an empirical study of a multiparty turn-taking model for physically situated
spoken dialog systems. We present subjective and objective performance measures that …

Learning human–robot interaction logic from example interaction data has the potential to
leverage “big data” to reduce the effort and time spent on designing interaction logic or …

As more users across the world are interacting with dialog agents in their daily life, there is a
need for better speech understanding that calls for renewed attention to the dynamics …