Adaptive Behavior Generation for Child-Robot Interaction

Abstract

Social robots are increasingly applied in assistive settings where they interact with human users to support them in their daily life. There, abilities for a robust and reliable social interaction are required, especially for robots that interact autonomously with humans. Apart from challenges regarding safety and trust, the complexity and difficulty of attaining mutual understanding, engagement or assistance in social interactions that comprise spoken languages and non-verbal behaviors need to be taken into account. In addition, different users or user groups have inter-individual differences with respect to their personal preferences, skills and limitations. This makes it more difficult to develop reliable and understandable robots that work well in different situations or for different users.