  Social norms support coordination and cooperation in society. With social
robots becoming increasingly involved in our society, they also need to follow
the social norms of the society. This paper presents a computational framework
for learning contexts and the social norms present in a context in an online
manner on a robot. The paper utilizes a recent state-of-the-art approach for
incremental learning and adapts it for online learning of scenes (contexts).
The paper further utilizes Dempster-Schafer theory to model context-specific
norms. After learning the scenes (contexts), we use active learning to learn
related norms. We test our approach on the Pepper robot by taking it through
different scene locations. Our results show that Pepper can learn different
scenes and related norms simply by communicating with a human partner in an
online manner.
