@inproceedings{He_2014_crowdsensing,
author={Jiyin He and Kai Kunze and Christoph Lofi and Sanjay K. Madria and Stephan Sigg},
title={Towards Mobile Sensor-Aware Crowdsourcing: Architecture, Opportunities and Challenges},
booktitle={UnCrowd 2014: DASFAA Workshop on Uncertain and Crowdsourced Data},
year={2014},
abstract={The recent success of general purpose crowdsourcing platforms like Amazon Mechanical Turk paved the way for a plethora of crowd-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. 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},
doi={http://dx.doi.org/10.1007/978-3-662-43984-5_31},
group = {ambience}}

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