Mood in the city - data-driven reflection on mood in relation to public spaces

This paper maps out the design space of urban locationrelated mood self-tracking as starting point for individual and urban reflection: What are the benefits for key stakeholders, and what are system design options? Data-driven reflection here means that reflection is based on data; in this instance taking mood related to public spaces as starting point for reflection, but “attaching” to mood additional data that contains information about context such as comments, tags or pictures. We argue that individual citizens could become aware of own mood and act on this knowledge, e.g., intentionally seeking relaxing or stimulating places. Urban reflection means both discourse on the liveability of public spaces amongst citizens and by stakeholders who manage or decide on the design of public spaces in cities, the most obvious of whom are city government or building project organizers.