| dc.contributor.author | Little, Danny Greg | |
| dc.contributor.author | Chilton, Lydia B. | |
| dc.contributor.author | Goldman, Max | |
| dc.contributor.author | Miller, Robert C. | |
| dc.date.accessioned | 2012-09-13T14:50:20Z | |
| dc.date.available | 2012-09-13T14:50:20Z | |
| dc.date.issued | 2009-06 | |
| dc.identifier.isbn | 978-1-60558-672-4 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/72685 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.). (Grant number IIS-0447800) | en_US |
| dc.description.sponsorship | Quanta Computer (Firm) | en_US |
| dc.description.sponsorship | Massachusetts Institute of Technology. Center for Collective Intelligence | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Association for Computing Machinery (ACM) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1145/1600150.1600159 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike 3.0 | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | TurKit: Tools for iterative tasks on mechanical Turk | en_US |
| dc.type | Article | en_US |
| dc.identifier.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. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.approver | Miller, Robert C. | |
| dc.contributor.mitauthor | Little, Danny Greg | |
| dc.contributor.mitauthor | Chilton, Lydia B. | |
| dc.contributor.mitauthor | Goldman, Max | |
| dc.contributor.mitauthor | Miller, Robert C. | |
| dc.relation.journal | Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP '09) | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| dspace.orderedauthors | Little, Greg; Chilton, Lydia B.; Goldman, Max; Miller, Robert C. | en |
| dc.identifier.orcid | https://orcid.org/0000-0002-8885-4830 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-0442-691X | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |
