Towards Mobile Sensor-Aware Crowdsourcing: Architecture, Opportunities and Challenges

TitleTowards Mobile Sensor-Aware Crowdsourcing: Architecture, Opportunities and Challenges
Publication TypeConference Paper
Year of Publication2014
AuthorsHe, J., K. Kunze, C. Lofi, S. Madria, and S. Sigg
Conference NameWorkshop on Uncertain and Crowdsourced Data (UnCrowd)
Conference LocationBali, Indonesia
Abstract

The recent success of general purpose crowdsourcing platform like Amazon Mechanical Turk paved the way for a plethora of crow-enabled applications and workflows. However, the variety of tasks which can be approached via such crowdsourcing platforms is limited by constraints of the web-based interface. Therefore, in this paper, we propose mobile user interface clients. Switching to mobile clients has the potential to radically change the way crowdsourcing is performed, and allows for a new breed of crowdsourcing tasks. Here, especially the ability to tap into the wealth of precision sensors embedded in modern mobile hardware is a game changer. In this paper, we will discuss opportunities and challenges resulting from such a platform, and discuss a reference architecture.

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hybridcrowd.pdf1.14 MB