Supporting Introspective Human Behaviours through technologies

Almost all technology supported activities we perform today involve a device with computational power able to collect data that can give information about our activities as well as, with the appropriate sensors, about our physiological status. While recording user data is not particularly novel, in our work, we concern ourselves with methods that people can use to gather and analyze data about themselves as they go about everyday work and leisure activities in order to better support self-monitoring and self-understanding. Our aim is to enable people to detect causality relationships in their behaviours either for serving their curiosity or, as we hope, for really empowering them with a tool for self-changes. In this ?work-in-progress? paper we describe ongoing work towards these ends. We start out by a motivation and short description of our work, followed by an exemplar scenario on ?preventive healthcare? for the system we envision. Then we describe some of the most relevant and influential related work before describing the system design and the main challenges, followed by an overview of the current status and our future vision.