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


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2014-07-11

AUTHORS

Jiyin He , Kai Kunze , Christoph Lofi , Sanjay K. Madria , Stephan Sigg

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. More... »

PAGES

403-412

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-43984-5_31

DOI

http://dx.doi.org/10.1007/978-3-662-43984-5_31

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001790014


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