Sensing People - Capturing social interactions through Ubicomp technologies
In this talk Christos Efstratiou will present the experiences and results from a number of projects involving the deployment of sensing technologies that can capture social behaviour.
Advances in sensing technologies in the last decade have made it possible to build systems that can detect and analyse human activities in a non intrusive manner. Through sensors available in modern smartphones, wearable sensing devices, as well as sensing technologies embedded in the environment we now have the capability to capture an accurate picture of the daily activities of people. My work focuses on the use of such technologies to capture and analyse social interactions. Using smartphones or wearables devices it is possible to detect the interactions between multiple people and explore research questions that were traditionally outside the scope of computer science. In this talk I will present the experiences and results from a number of projects involving the deployment of sensing technologies that can capture social behaviour. These projects include the use of sensor data to explore traditional social science research questions, applying social sensing in the domain of architecture, as well as experiments with novel social networking systems infused with real-world social interactions.
Christos Efstratiou is a Lecturer at the School of Engineering and Digital Arts, University of Kent. He received his Ph.D. from Lancaster University, UK. He has been a Senior Research Associate at the University of Cambridge, a Research Associate at Lancaster University and a visiting researcher at Sony Electronics Distributed Systems Lab in San Jose. His early work focused on the support for adaptive and context-aware applications in mobile environments, and novel interactions through public displays. In his current work, he is targeting the areas of social and people-centric sensing and the challenges emerging by the fusion of mobile phone sensing, with sensing technologies embedded in the environment.