Learning Smooth, Human-Like Turntaking in Realtime Dialogue
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
The SEMAINE API: towards a standards-based framework for building emotion-oriented systems
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Effect of time delays on agents' interaction dynamics
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Constraint-Based Model for Synthesis of Multimodal Sequential Expressions of Emotions
IEEE Transactions on Affective Computing
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
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Psychology, robotic and virtual agents communities commonly claim that to enable natural interaction to take place within dyad of agents, the dyad must be the siege of dynamical coupling: to give to their partners a feeling of natural interaction, interactants be human, robotic or virtual, must be able to make the dynamic of their behaviour emerge both from their own internal states and from their partner's behaviours. However, most virtual agents engines for interactions model communication as a step by step phenomenon, where pre-scripted signals and corresponding feedbacks alternate. We propose here an agent architecture which generates non-verbal behaviours in live, influenced by both the internal state of the agent and the continuously incoming reaction of its partner. This architecture enables an agent facing either another agent or a human, to emphasise shared behaviours (called Snowball effect), to decrease un-shared behaviours as well as to align dynamically with its partner's behaviour.