Child Robot Interaction

Child-robot interaction (CRI) research explores how children interact with robots, aiming to understand and optimize these interactions for educational, therapeutic, and social benefits. Current research focuses on designing robots that effectively teach skills (like hygiene or math), assess children's well-being, and adapt their behavior to individual needs, often employing personalized behavior models and advanced speech recognition techniques like Transformer architectures. This field is significant because it can lead to improved learning tools, early detection of mental health issues, and innovative therapeutic interventions, particularly for children with autism, while also advancing our understanding of human-robot interaction and child development.