In this paper we propose a model of a robotic storyteller, focusing on its abilities to select the most appropriate gestures to accompany the story, trying to manifest also emotions related to the sentence that is being told. The robot is endowed with a repository of stories together with a set of gestures, inspired by those typically used by humans, that the robot learns by observation. The gestures are annotated by a number N of subjects, according to their particular meaning and considering a specific typology. They are exploited by the robot according to the story content to provide an engaging representation of the tale.

NarRob: A Humanoid Social Storyteller with Emotional Expression Capabilities

Agnese Augello;Ignazio Infantino;Umberto Maniscalco;Giovanni Pilato;Filippo Vella
2019

Abstract

In this paper we propose a model of a robotic storyteller, focusing on its abilities to select the most appropriate gestures to accompany the story, trying to manifest also emotions related to the sentence that is being told. The robot is endowed with a repository of stories together with a set of gestures, inspired by those typically used by humans, that the robot learns by observation. The gestures are annotated by a number N of subjects, according to their particular meaning and considering a specific typology. They are exploited by the robot according to the story content to provide an engaging representation of the tale.
2019
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Storytelling
Gestures acquisition Robot expressiveness
Emotions detection from text
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/348336
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