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

  • Jiyin He
  • Kai Kunze
  • Christoph Lofi
  • Sanjay K. Madria
  • Stephan Sigg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8505)


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.


Mobile platforms Sensor-enabled crowdsourcing Location-aware crowdsourcing 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jiyin He
    • 1
  • Kai Kunze
    • 2
  • Christoph Lofi
    • 3
  • Sanjay K. Madria
    • 4
  • Stephan Sigg
    • 5
  1. 1.Centrum Wiskunde and InformaticaAmsterdamThe Netherlands
  2. 2.Osaka Prefecture UniversityOsakaJapan
  3. 3.National Institute of InformaticsTokyoJapan
  4. 4.Missouri University of Science and TechnologyRollaUSA
  5. 5.Georg-August University GoettingenGoettingenGermany

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