Socially assistive robotics for personalized education for children

摘要: Socially assistive robotics (SAR) has the potential to combine the massive replication and standardization of computer technology with the benefits of learning in a social and tangible (hands-on) context. We are developing HRI methods for SAR systems designed to supplement the efforts of human teachers to personalize education in the classroom. This abstract defines and proposes solutions to the computational challenges inherent in accomplishing differentiated and personalized education utilizing SAR in real-world classrooms. We aim to design robotic systems that are compelling, assist children in achieving educational goals, and mitigate developmental challenges in a classroom context. To do so, our approach must be deeply informed by the needs of our target users, children, at all stages of development, and must adapt to a variety of special needs. In this abstract, we discuss motivation and computational methods for personalized SAR systems for general, special needs, and mixed multichild education contexts. We focus on the personalization and adaptation of curriculum, feedback, and robot character.