A framework for human-robot interaction

This work recommends an architecture for the dialogue system of robots that serve as guides in art collections. Such robots interact with visitors providing information about the exhibits or the educational programmes of a museum. The interaction takes place in natural language in the form of a dialogue session during which, the robot provides suggestions or explanations about programmes or exhibits; furthermore the robot leads the visitors to the room of the desired exhibit. Past research projects have led us to suggest a cognitive based dialogue architecture that is based on four modules: a reactive, a delibetative, a reflective, and an affective one. The cognitive model, allows great flexibility, comprehensibility, facility to revise certain modules as desired and a high degree of naturalness in dialogue and behaviour with humans. In addition the dialogue system relies on resources such as OWL domain ontologies, user types, user interaction history and a robotic personality.

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