Analyzing social networks activities to deploy entertainment services in HRI-based smart environments

Smart home systems have become increasingly widespread in the last few years. State-of-the-art smart home architectures concentrate on modeling the user physical behavior and on discovering possible behavioral pattern, while they provide very little personalization of the services based on the individual cognitive characteristics. In this direction, the analysis of the user activity on social networks offers a reliable and efficient way to obtain psychological traits of a human being in a manner that can be easily integrated with smart systems. In this paper, we outline a robot based architecture that blends ubiquitous computing and personality analysis to provide a custom-tailored system. An entertainment recommender scenario with a social robot is then analyzed as a case study.