How can you make sense of sleep data, include the user in the process of evaluating and visualize the outcome in a simple and integrative way? Sleep tracking is one of the most common measurement when talking about self quantification nowadays. Fitness tracker do it, smart watches do it and even your smartphone can record your sleep. But what to do with the gathered data? What does it mean to spend 20% in deep sleep? While tracking becomes more precise there is hardly any support available on how to understand the data, left alone improve your sleep. Furthermore sleep is a highly individual matter and every person has their own demands and needs. This project is a collaboration with the Nokia healthcare offices in San Francisco and Paris.
"The biggest issue with all these devices is that they rarely tell a person what to do with their data“