Mood in the City - Data-Driven Reflection on Mood in Relation to Public Spaces

This paper maps out the design space of urban location-related 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.