Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship
Mike E.U. Ligthart (Vrije Universiteit Amsterdam)
Mark A. Neerincx (TU Delft - Interactive Intelligence)
Koen V. Hindriks (Vrije Universiteit Amsterdam)
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Abstract
After the novelty effect wears off children need a new motivator to keep interacting with a social robot. Enabling children to build a relationship with the robot is the key for facilitating a sustainable long-term interaction. We designed a memory-based personalization strategy that safeguards the continuity between sessions and tailors the interaction to the child's needs and interests to foster the child-robot relationship. A longitudinal (five sessions in two months) user study (N = 46, 8-10 y.o) showed that the strategy kept children interested longer in the robot, fosters more closeness, elicits more positive social cues, and adds continuity between sessions.