Prototyping easier living with data
Why are we after a fair data economy in the first place? We want well-being for ourselves but in a human way. It should be OK to be lazy and not be required to chase data in order to be able to make better choices based on our preferences and health, and thus live better life. Only we as individuals know what we like and how to enjoy life. Having a medical condition shouldn’t prevent us enjoying our lives! The world is full of data but who wants to chase or look for it?
With this vision in mind, Digital Living have developed a well-being concept and built the first implementation of a well-being assistant that actually knows who we are, what we like and can make helpful recommendations to us, and recommendations beyond those such as buying a pair of running shoes we have already bought. And most importantly the assistant would be able to do all this while remaining fully transparent about where the data is coming from and only if the user gives consent for it.
First target group – seasonal runners with a busy work life
As a first target for our well-being assistant, we selected a group of workers whose busy lives leave them too little time to do what they enjoy most – running. To start with we selected three data sources – open weather data, air quality data and user-consented health-record data – on which to advise the well-being assistant users when they try to fit in a run during their busy lives. Based on the standardised weather and air quality condition data, as well as seeing from the user’s health records if the user has asthma or not, the well-being assistant can recommend the best time to go running. There is no longer any need for the user to chase up all this information from data silos!