Quality control for real-time ubiquitous crowdsourcing

Abstract

Crowdsourcing has become a successful paradigm in the past decade, as Web 2.0 users have taken a more active role in producing content as well as consuming it. Recently this paradigm has broadened to incorporate ubiquitous applications, in which the smart-phone users contribute information about their surrounding, thus providing a collective knowledge about the physical world. However the acceptance and openness of such applications has made it easy to contribute poor quality content. Various solutions have been proposed for the Web-based domain, to assist with monitoring and filtering poor quality content, but these methods fall short when applied to ubiquitous crowdsourcing, where the task of collecting information has to be performed continuously and in real-time, by an always changing crowd. In this paper we discuss the challenges for quality control in ubiquitous crowdsorucing and propose a novel technique that reasons on users mobility patterns and quality of their past contributions to estimate user's credibility.