Abstract. We address the problem of categorizing turn-taking interactions between individuals. Social interactions are characterized by turn-taking and arise frequently in real-world videos. Our approach is based on the use of temporal causal analysis to decompose a space-time visual word

interaction and more ‘natural ’ turn-taking were preferred by the human participants. I.

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Turn-taking interactions with humans are multimodal and reciprocal in nature. In addition, the timing of actions is of great importance, as it influences both social and task strategies. To enable the precise control and analysis of timed discrete events for a robot, we develop a system

In this paper we describe our eye-tracking data collection and preliminary experiments concerning the relation between eyegazing and turn-taking in natural human-human conversations, and how these observations can be extended to multimodal human-machine interactions. We confirm the earlier findings

in the stories: (a) they did not provide for a smooth transition of the speaking turn from one person to the next, and (b) they forced a definition of the situation that the other interactants present were not willing to accept. The nature of this conversational “turn-taking ” or “floor apportionment

Abstract: The most common kind of spoken language is conversation, when one person communicates through speaking to another or to other people. In this paper, the author tries to give an account of how turn-taking is realized in conversational interactions. Discussion is made about: (1) General

: socially evocative, socially communicative, socially responsive, and sociable. For the remainder of the paper, we explore a few key features of sociable robots that distinguishes them from the others. We use the vocal turn-taking behavior of our robot, Kismet, as a case study to highlight these points.

Prisoner’s Dilemma in which the highest total payoff is achieved not by simultaneous mutual cooperation, but by taking turns defecting (alternating temptation and sucker payoffs). The Turn-Taking Dilemma more accurately models interactions where players must take short-term losses for long-term gains

We describe a computational framework for modeling and managing turn-taking in open-world spoken dialog systems. We present a rep-resentation and methodology for tracking the conversational dynamics in multiparty interac-tions, making floor control decisions, and ren-dering these decisions