Adaptive empathy evaluation: an intelligent social robot tutor with multimodal assessment

This research explores the merging of multimodal AI and hyperautomation to develop agentic social robot tutors for educational and enterprise use. It introduces the Empathetic Cognitive Robot (ECRobot), a hyperautomated tutoring system designed for complex problem-solving. Key innovations include an event-driven architecture that manages multimodal inputs with zero data loss and an automated validation pipeline using large language model-based student agents to simulate diverse learner behaviours. Findings show that model capacity significantly impacts learning outcomes, with minimal influence from tutoring style. The approaches provide scalable, robust frameworks for real-time data coordination and stress-testing AI systems across various applications.