An ACT-R Based Humanoid Social Robot to Manage Storytelling Activities

• Main Authors: Adriana Bono, Agnese Augello, Giovanni Pilato, Filippo Vella, Salvatore Gaglio
• Format: Article
• Language: English
• Published: MDPI AG 2020-04-01
• Series: Robotics
• Subjects: cognitive agents; interactive storytelling; social robots; ACT-R
• Online Access: https://www.mdpi.com/2218-6581/9/2/25

This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper. The main contribution consists of the interpretation of the story characters by humanoid robots, obtained through the definition of appropriate cognitive models, relying on the ACT-R cognitive architecture. The reasoning processes leading to the story evolution are based on the represented knowledge and the suggestions of the listener in critical points of the story. They are disclosed during the narration, to make clear the dynamics of the story and the feelings of the characters. We analyzed the impact of such externalization of the internal status of the characters to set the basis for future experimentation with primary school children.