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  4. Soylent: A Word Processor with a Crowd Inside

Soylent: A Word Processor with a Crowd Inside

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Author(s)
Bernstein, Michael S.
•
Little, Danny Greg
•
Miller, Robert C.
•
Hartmann, Bjorn
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Ackerman, Mark S.
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Karger, David R.
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Crowell, David L.
•
Panovich, Katrina Marie
Date Issued
October 2010
Journal
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Publisher
Association for Computing Machinery
Citation
Michael S. Bernstein, Greg Little, Robert C. Miller, Bjorn Hartmann, Mark S. Ackerman, David R. Karger, David Crowell, and Katrina Panovich. 2010. Soylent: a word processor with a crowd inside. In Proceedings of the 23nd annual ACM symposium on User interface software and technology (UIST '10). ACM, New York, NY, USA, 313-322.
Version
Author's final manuscript
Abstract
This paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces. We focus on writing and editing, com-plex endeavors that span many levels of conceptual and pragmatic activity. Authoring tools offer help with prag-matics, but for higher-level help, writers commonly turn to other people. We thus present Soylent, a word processing interface that enables writers to call on Mechanical Turk workers to shorten, proofread, and otherwise edit parts of their documents on demand. To improve worker quality, we introduce the Find-Fix-Verify crowd programming pat-tern, which splits tasks into a series of generation and re-view stages. Evaluation studies demonstrate the feasibility of crowdsourced editing and investigate questions of relia-bility, cost, wait time, and work time for edits.
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
Attribution-Noncommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/3.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/60947
DOI of Published Version
https://doi.org/10.1145/1866029.1866078
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