A circular visualization technique for collaboration and quantifying self

People awareness in various contexts has been widely considered in the literature. A form of awareness is the quantification of self, which requires a number of conditions to be implemented. The most important are: Producing, computing and making sense of data. Sensors produce data at very high rates. A lot of research, in the field of data bases, has focused on how to store and compute data efficiently. Data presentation is still challenging, because the possibilities of producing interactive visualizations on the Web and on different devices are increasing. The contribution of this demo paper is to propose a visualization technique and a web-based tool enabling the visualization of personal data produced during the 24 hours of the day. The aim of this tool is to help people to understand their own behavior. Such data can also be compared with other people's data to improve the analysis. This demo focuses on two main contexts: visualizing working data of a group of people living in different time zones in order to improve the awareness of the behavior of the group; visualizing energy consumption data in order to provide an idea of the behavior of people in the domestic context. The data for the first example are gathered from the activity people perform with their computer (e.g. email, chat, keyboard strokes) while the data of the second context are gathered from a low-cost Arduino device capable of providing instant electricity consumption information.