A simple metric for turn-taking in emergent communication

Authors:
Peter A Raffensperger;Russell Y Webb;Philip J Bones;Allan I Mcinnes
Affiliations:
Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand;Apple Computer Inc., Cupertino, California, USA;Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand;Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
Venue:
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Year:
2012

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Abstract

To facilitate further research in emergent turn-taking, we propose a metric for evaluating the extent to which agents take turns using a shared resource. Our measure reports a turn-taking value for a particular time and a particular timescale, or 芒聙聹resolution,芒聙聺 in a way that matches intuition. We describe how to evaluate the results of simulations where turn-taking may or may not be present and analyze the apparent turn-taking that could be observed between random independent agents. We illustrate the use of our turn-taking metric by reinterpreting previous work on turn-taking in emergent communication and by analyzing a recorded human conversation.