TurKit: Tools for iterative tasks on mechanical Turk
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Miller_Turkit.pdf
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203.9 KB
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Adobe PDF
Checksum (MD5)
a421d7e3a0d4bc1e203d3f030e7f4391
Author(s)
Little, Danny Greg
Chilton, Lydia B.
Goldman, Max
Miller, Robert C.
Date Issued
June 2009
Journal
Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP '09)
Publisher
Association for Computing Machinery (ACM)
Citation
Greg Little, Lydia B. Chilton, Max Goldman, and Robert C. Miller. 2009. TurKit: tools for iterative tasks on mechanical Turk. In Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP '09), Paul Bennett, Raman Chandrasekar, Max Chickering, Panos Ipeirotis, Edith Law, Anton Mityagin, Foster Provost, and Luis von Ahn (Eds.). ACM, New York, NY, USA, 29-30.
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1600150.1600159
