Turkalytics: analytics for human computation
P. Heymann, und H. Garcia-Molina.
Proceedings of the 20th international conference on World wide web, Seite 477--486. New York, NY, USA, ACM, (2011)

We present "Turkalytics," a novel analytics tool for human computation systems. Turkalytics processes and reports logging events from workers in real-time and has been shown to scale to over one hundred thousand logging events per day. We present a state model for worker interaction that covers the Mechanical Turk (the SCRAP model) and a data model that demonstrates the diversity of data collected by Turkalytics. We show that Turkalytics is effective at data collection, in spite of it being unobtrusive. Lastly, we describe worker locations, browser environments, activity information, and other examples of data collected by our tool.

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@inproceedings{heymann2011turkalytics,
  abstract = {We present "Turkalytics," a novel analytics tool for human computation systems. Turkalytics processes and reports logging events from workers in real-time and has been shown to scale to over one hundred thousand logging events per day. We present a state model for worker interaction that covers the Mechanical Turk (the SCRAP model) and a data model that demonstrates the diversity of data collected by Turkalytics. We show that Turkalytics is effective at data collection, in spite of it being unobtrusive. Lastly, we describe worker locations, browser environments, activity information, and other examples of data collected by our tool.},
  acmid = {1963473},
  added-at = {2012-06-12T16:46:24.000+0200},
  address = {New York, NY, USA},
  author = {Heymann, Paul and Garcia-Molina, Hector},
  biburl = {https://puma.uni-kassel.de/bibtex/29461e2c2c5f0a6304ad6017a56788217/jaeschke},
  booktitle = {Proceedings of the 20th international conference on World wide web},
  doi = {10.1145/1963405.1963473},
  interhash = {6d183b7917745ec2ef531e66e18f4bcd},
  intrahash = {9461e2c2c5f0a6304ad6017a56788217},
  isbn = {978-1-4503-0632-4},
  keywords = {analytics cirg collaborative computing human intelligence social},
  location = {Hyderabad, India},
  numpages = {10},
  pages = {477--486},
  publisher = {ACM},
  timestamp = {2012-06-12T16:46:25.000+0200},
  title = {Turkalytics: analytics for human computation},
  url = {http://doi.acm.org/10.1145/1963405.1963473},
  year = 2011
}

%0 Conference Paper
%1 heymann2011turkalytics
%A Heymann, Paul
%A Garcia-Molina, Hector
%B Proceedings of the 20th international conference on World wide web
%C New York, NY, USA
%D 2011
%I ACM
%K analytics cirg collaborative computing human intelligence social
%P 477--486
%R 10.1145/1963405.1963473
%T Turkalytics: analytics for human computation
%U http://doi.acm.org/10.1145/1963405.1963473
%X We present "Turkalytics," a novel analytics tool for human computation systems. Turkalytics processes and reports logging events from workers in real-time and has been shown to scale to over one hundred thousand logging events per day. We present a state model for worker interaction that covers the Mechanical Turk (the SCRAP model) and a data model that demonstrates the diversity of data collected by Turkalytics. We show that Turkalytics is effective at data collection, in spite of it being unobtrusive. Lastly, we describe worker locations, browser environments, activity information, and other examples of data collected by our tool.
%@ 978-1-4503-0632-4

PUMA

Turkalytics: analytics for human computation
P. Heymann, und H. Garcia-Molina.
Proceedings of the 20th international conference on World wide web, Seite 477--486. New York, NY, USA, ACM, (2011)

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PUMA

Turkalytics: analytics for human computationP. Heymann, und H. Garcia-Molina. Proceedings of the 20th international conference on World wide web, Seite 477--486. New York, NY, USA, ACM, (2011)

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Turkalytics: analytics for human computation
P. Heymann, und H. Garcia-Molina.
Proceedings of the 20th international conference on World wide web, Seite 477--486. New York, NY, USA, ACM, (2011)