Tega Researchers in the Personal Robots Group at MIT Media Lab integrated Affectiva’s Emotion SDK for Android into Tega, a new robot platform to support educational interactions with children. This gives Tega the ability to sense and respond to the affective content of children’s facial expressions, which theresearchers combined into a reward signal, and fed into an affective reinforcement learning algorithm that guides the robot’s behavior. This integration was tested during a 2 month study with 34 children in a local preschool. Over several sessions, the robot played a game and personalized its motivational strategies (based on affective data) to each student. The researchers saw that: 1. Children learned new words from the repeated tutoring sessions, 2. The robot’s affective policy pers

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