In the era of global digitization, data is constantly being generated in our everyday lives. Smartphones are almost always by our side, collecting information about nearly everything we do as users, as well as individual actions. Modern smartphones are capable of recording and processing large amounts of data in background processes. This includes location data, application activities, call logs, browsing histories, and even text messages. These data are often used in various contexts, primarily focusing on improving user experience, market research, and personalized advertising. Particularly in sports, whether at the recreational or professional level, more and more people are turning to so-called ‚tracking apps‘ to record movement activities systematically. This form of motion data is the focus of this work, where it is not the raw data but rat- her the recorded trace that plays a fundamental role.
How much of this data do we consciously produce, or engage with actively?
The motion data examined here all originate from cycling but are compared with recordings from ot- her sports. In this context, humans are initially vie- wed as autonomous objects in a generative system.
How do they behave, and what role do they play?
Various factors recorded during the movement activity are considered. The result of this work is a proposal for a Sports and Data Center from existing motion data through form-finding processes. This center reflects aspects and dynamics of the original movement, responds to them, and in turn, encourages the end user/observer to move and engage in activity.