Soylent

Author:

Bernstein Michael S.1,Little Greg,Miller Robert C.2,Hartmann Björn3,Ackerman Mark S.4,Karger David R.2,Crowell David,Panovich Katrina5

Affiliation:

1. Stanford University, Stanford, CA

2. MIT CSAIL, Cambridge, MA

3. University of California, Berkeley, CA

4. University of Michigan, Ann Arbor, MI

5. Google, Inc., Mountain View, CA

Abstract

This paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces. We focus on writing and editing, complex endeavors that span many levels of conceptual and pragmatic activity. Authoring tools offer help with pragmatics, 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 pattern, which splits tasks into a series of generation and review stages. Evaluation studies demonstrate the feasibility of crowdsourced editing and investigate questions of reliability, cost, wait time, and work time for edits.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 82 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels;Knowledge and Information Systems;2022-09-30

2. The Eco-Technical Interface: Attuning to the Instrumental;CHI Conference on Human Factors in Computing Systems;2022-04-27

3. Hint: harnessing the wisdom of crowds for handling multi-phase tasks;Neural Computing and Applications;2022-01-17

4. Task Design for Crowdsourcing Complex Cognitive Skills;Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems;2021-05-08

5. Crowd-Scale Deliberation for Group Decision-Making;Handbook of Group Decision and Negotiation;2021

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