The paper presents a robotic architecture for managing behavior in educational settings, inspired by Applied Behavior Analysis (ABA). The system features a social robot that (1) learns a model of a child's goals, beliefs, and intentions, grounded in observations and conversations, to explain their detected behavior, and (2) responds effectively to behaviors by planning appropriate sequences of actions to implement the strategies suggested by experts. By leveraging cloud-based processing and local execution, the robot dynamically adapts to social interactions in real-time, delivering educational activities, monitoring children's behavior, and applying behavior management strategies. Results from the experimental evaluations highlight the system's replanning and cloud response times, as well as its overall effectiveness.
A Novel Approach for Behavior Management and Real-Time Adaptation during Child-Robot Interaction
Berettieri G.;Bixio A. A.;Grassi L.;Recchiuto C.;Sgorbissa A.
2025-01-01
Abstract
The paper presents a robotic architecture for managing behavior in educational settings, inspired by Applied Behavior Analysis (ABA). The system features a social robot that (1) learns a model of a child's goals, beliefs, and intentions, grounded in observations and conversations, to explain their detected behavior, and (2) responds effectively to behaviors by planning appropriate sequences of actions to implement the strategies suggested by experts. By leveraging cloud-based processing and local execution, the robot dynamically adapts to social interactions in real-time, delivering educational activities, monitoring children's behavior, and applying behavior management strategies. Results from the experimental evaluations highlight the system's replanning and cloud response times, as well as its overall effectiveness.
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