Checking-in various venues in our surrounding environment via location-based apps like foursquare is becoming more and more popular; this behaviour makes people share some "bits" of their location with their friends. Exploiting this trend in a Human Computation fashion to collect information about urban environments is the aim of the Urbanopoly Android app -a social, mobile and location-based Game with a Purpose designed around the idea of the "monopoly" board game. In this paper, we illustrate the main design choices for Urbanopolyincluding the use of social media like Facebook in the context of a Human Computation approach -and we explain the gameplay.

Abstract.To realize the Smart Cities vision, applications can leverage the large availability of open datasets related to urban environments. Those datasets need to be integrated, but it is often hard to automatically achieve a high-quality interlinkage. Human Computation approaches can be employed to solve such a task where machines are ineffective. We argue that in this case not only people's background knowledge is useful to solve the task, but also people's physical presence and direct experience can be successfully exploited. In this paper we present UrbanMatch, a Game with a Purpose for players in mobility aimed at validating links between points of interest and their photos; we discuss the design choices and we show the high throughput and accuracy achieved in the interlinking task.