Game of words: tagging places through crowdsourcing on public displays

Abstract

In this paper we present Game of Words, a crowdsourcing game for public displays that allows the creation of a keyword dictionary to describe locations. It relies on crowdsourcing and gamification to identify, filter, and rank keywords based on their relevance to the location of the public display itself. We demonstrate that crowdsourcing on public displays can leverage users' knowledge of their environment, can work with a generic gaming task, and can be deployed on displays with multiple concurrent services. Our analysis shows that our approach has important benefits, such as the ability to identify undesired input, provide words of high semantic relevance, as well as a broader scope of ke..