Abstract. This paper proposes a general architecture and a classification scheme for mobile crowdsourcing systems, which are illustrated by two example applications. The aim is to gain a better understanding of typical functionalities and design aspects to be considered during development and evaluation of such collaborative systems.Keywords: crowdsourcing, crowdsourcing system, mobile crowdsourcing, crowdsourcing application, architecture, classification scheme.
IntroductionMany organizations are increasingly using crowdsourcing as a new model for value creation, where new web technologies are used to outsource tasks, which are traditionally performed by a specialist or a small group of experts, to an undefined large group of people [1]. Meanwhile, mobile devices (phones, smartphones, tablets, and in the near future glasses, watches, and so on) have become ubiquitous and a tool for crowdsourcing [2]. In mobile crowdsourcing mobile devices are used for datacollection tasks delegated to a larger number of people as well as for the coordination among the people involved. In the recent years numerous mobile crowdsourcing applications have been realized and have shown the potential for business and society [3]. As the popularity of these applications increases, our understanding of how to design and deploy successful mobile crowdsourcing systems must improve [4]. Many systems described in the scientific literature were individual, task-specific, ad-hoc implementations [5]. Without a profound theoretical foundation, the development of such mobile crowdsourcing applications is still a difficult task and costs as well as the time needed for each development can be high.The objective of this paper is to gain a better understanding of typical functionalities and design aspects to be considered during development and evaluation of such collaborative systems. Thus, the way how mobile crowdsourcing applications are developed will shift from an ad-hoc manner to a planned routine. Based upon an extensive literature review, a categorization of existing applications of mobile crowdsourcing systems, and an overview of typical design aspects of mobile crowdsourcing
The present work describes a DokuWiki based solution to automatically analyze the structural quality of wiki pages by gathering and evaluating predefined metrics. By providing immediate quality feedback, users are educated and the overall quality of the wiki is increased
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