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TurKit: tools for iterative tasks on mechanical Turk

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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the ACM SIGKDD Workshop on Human Computation table of contents

Paris, France

SESSION: Human computation in practice table of contents

Pages 29-30

Year of Publication: 2009

ISBN:978-1-60558-672-4

Authors

Greg Little	MIT CSAIL, Cambridge, MA
Lydia B. Chilton	MIT CSAIL, Cambridge, MA
Max Goldman	MIT CSAIL, Cambridge, MA
Robert C. Miller	MIT CSAIL, Cambridge, MA

Sponsors

Microsoft Research : Microsoft Research
: Carnegie Mellon

Publisher

ACM New York, NY, USA

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ABSTRACT

Mechanical Turk (MTurk) is an increasingly popular web service for paying people small rewards to do human computation tasks. Current uses of MTurk typically post independent parallel tasks. We are exploring an alternative iterative paradigm, in which workers build on or evaluate each other's work. We describe TurKit, a new toolkit for deploying iterative tasks to MTurk, with a familiar imperative programming paradigm that effectively uses MTurk workers as subroutines.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Luis von Ahn. Games With A Purpose. IEEE Computer Magazine, June 2006. Pages 96--98.
	2	Luis von Ahn, Ben Maurer, Colin McMillen, David Abraham and Manuel Blum. reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science, September 12, 2008. pp 1465--1468.
	3	Kittur, A. and Kraut, R. E. 2008. Harnessing the wisdom of crowds in wikipedia: quality through coordination. CSCW '08. ACM, New York, NY, 37--46