The media equation: how people treat computers, television, and new media like real people and places
Designing Sociable Robots
Universal Access in the Information Society
The iCub humanoid robot: an open platform for research in embodied cognition
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
An interactive space that learns to influence human behavior
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
EFAA: a companion emerges from integrating a layered cognitive architecture
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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Robots will be part of our society in the future. It is therefore important that they are able to interact with humans in a natural way. This requires the ability to display social competence and behavior that will promote such interactions. Here we present the details of modeling the emergence of emotional states, adaptive internal needs and motivational drives. We explain how this model is enriched by the usage of a homeostatic and allostatic control that aim at regulating its behavior. We evaluate the model during a human-robot interaction and we show how this model is able to produce meaningful and complex behaviors.