Teacher Facilitator Function
The "teacher facilitator" function explores how artificial agents can guide users, rather than simply providing answers, fostering learning and skill development. Current research focuses on designing agents that effectively manage information flow (e.g., in multi-agent systems or human-robot interaction), personalize interactions through adaptable personas, and improve data processing for applications like medical image analysis. This research area is significant for advancing human-computer interaction, particularly in education and healthcare, by creating more effective and engaging learning environments and improving the accuracy and efficiency of complex tasks.
Papers
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