Different turn-taking strategies of an agent influence the impression that people have of it. We recorded conversations of a human with an interviewing agent, controlled by a wizard and using a particular turn-taking strategy. A questionnaire with 27 semantic differential scales concerning personality, emotion, social skills and interviewing skills was used to capture these impressions. We show...

This research focuses on the relationship between turntaking and intensity of motions (head, hand and upper body motions). We examine five spontaneous dialogues conducted in Japanese, which were collected using video and audio recording equipment, and optical motion sensing device. We show first that the motions appear more in speech duration than in pause. Next, we present some data showing th...

This study explores the empirical basis for multimodal conversation control acts. Applying conversation analysis as an exploratory approach, we attempt to illuminate the control functions of paralinguistic behaviors in managing multiparty conversation. We contrast our multiparty analysis with an earlier dyadic analysis and, to the extent permitted by our small samples of the corpus, contrast (a...

Informal verbal interaction is the core matrix for human social life. A mechanism for coordinating this basic mode of interaction is a system of turn-taking that regulates who is to speak and when. Yet relatively little is known about how this system varies across cultures. The anthropological literature reports significant cultural differences in the timing of turn-taking in ordinary conversat...

Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outputs and to hold the internal dynamics. Agents are developed to take turns on a two-dimensional arena by causing the network structures to evolve. Turn taking is established using either regular or chaotic behavior of t...

We build turn-taking models for autonomous characters in language-based interactions with small groups of children. Two models explore the use of support vector machines given the same multimodal features, but different methods for collecting turn-taking labels.

Speaker and paralinguistic properties of dialogue speech that affect the timing at turn changes are investigated by analyzing the UU Database for Paralinguistic Information Studies. The results showed a large variation among speakers and a strong interaction with partner in pause/overlap duration. In addition, perceived emotional states of utterances had significant effects on the pause/overlap...

This paper presents a study of the effects of syntax and melodic configuration on turntaking in Southern British English. Using dialogue materials, two perception experiments were carried out. In the first, subjects heard dialogue fragments in which syntactic completeness and melodic contour were systematically varied, and were asked whether they expected a subsequent turn exchange or not. In t...

RT is one of the most feared developments in CLL. In its “true” form, RT has little effective therapy and a very poor outcome. Most trials for CLL, including those that involve the novel targeted therapies that promise to revolutionize the treatment of CLL, have an exclusion criteria for RT. At the same time, the advent of more effective therapies for CLL is altering the expectations of patient...

We present a system for testing turn-taking strategies in a simulation environment, in which artificial dialogue participants exchange audio streams in real time – unlike earlier turn-taking simulations, which interchanged unambiguous symbolic messages. Dialogue participants autonomously determine their turn-taking behaviour, based on their analysis of the incoming audio. We use machine-learnin...