Towards Anticipatory Mobile Computing: Challenges & Opportunities
Mobile phones are increasingly equipped with sensors, such as accelerometers, GPS receivers, proximity sensors and cameras, which can be used to sense and interpret people behaviour in real-time. Novel user-centered sensing applications can be built by exploiting the availability of these technologies. Moreover, data extracted from the sensors can also be used to model and predict people behaviour and movement patterns, providing a very rich set of multi-dimensional data, which can be extremely useful, for instance, for marketing applications and health interventions. In this talk I will discuss the scenarios that are opened by the emergence of this new paradigm of mobile anticipatory computing and I will present our ongoing work in this area.
Mirco Musolesi is a Reader in Data Science at the Department of Geography at University College London and a Turing Fellow at the Alan Turing Institute. At UCL he leads the Intelligent Social Systems Lab. His research interests include intelligent systems design, applied machine learning, human behaviour and social systems modelling, and digital health. He is interested in developing mathematical and computational models as well as implementing real-world systems based on them. More details about his research profile can be found at: http://www.ucl.ac.uk/~ucfamus/