Crowd-Powered Systems

Crowd-powered systems combine computation with human intelligence, drawn from large groups of people connecting and coordinating online. These hybrid systems enable applications and experiences that neither crowds nor computation could support alone. Unfortunately, crowd work is error-prone and slow, making it difficult to incorporate crowds as firstorder building blocks in software systems. I introduce computational techniques that decompose complex tasks into simpler, verifiable steps to improve quality, and optimize work to return results in seconds. These techniques advance crowdsourcing into a platform that is reliable and responsive to the point where crowds can be used in interactive systems.

Content

Author and article information

Contributors

Michael Bernstein

Conference

Publication date: May 2013

Publication date (Print): May 2013

Page: 1

Affiliations

[0001]Stanford University HCI Group

Computer Science Department

Article

DOI: 10.14236/ewic/SOHUMAN2013.1

SO-VID: 68e99e46-100b-4c2a-92a4-ad8846f5bf8a

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 2nd International Workshop on Social Media for Crowdsourcing and Human Computation (SoHuman 2013)

Conference acronym: SOHUMAN

Conference number: 2

Conference location: Paris, France

Conference date: 1 May 2013

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Social Media for Crowdsourcing and Human Computation (SoHuman 2013)

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/SOHUMAN2013.1

Self URI (journal page): https://ewic.bcs.org/

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Crowd-Powered Systems

Abstract