Mobile sensing for social interaction monitoring and modelling

Abstract

Social interactions have been traditionally studied via questionnaires and participant observations, imposing high burden, low scalability and precision. The goal of my research is to explore novel techniques to detect and monitor social interactions in indoor settings. Through the development of a scalable research platform it would be possible to study social dynamics at a finer granularity. The collected data will inform models about people's behaviour and support architectural research.