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  1. KI - Künstliche Intelligenz
  2. KI - Künstliche Intelligenz : Volume 27
  3. KI - Künstliche Intelligenz : Volume 27, Issue 1, February 2013
  4. Crowd-Powered Systems
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KI - Künstliche Intelligenz : Volume 31
KI - Künstliche Intelligenz : Volume 30
KI - Künstliche Intelligenz : Volume 29
KI - Künstliche Intelligenz : Volume 28
KI - Künstliche Intelligenz : Volume 27
KI - Künstliche Intelligenz : Volume 27, Issue 4, November 2013
KI - Künstliche Intelligenz : Volume 27, Issue 3, August 2013
KI - Künstliche Intelligenz : Volume 27, Issue 2, May 2013
KI - Künstliche Intelligenz : Volume 27, Issue 1, February 2013
Editorial
Special Issue on Social Media
Social Media and Collective Intelligence—Ongoing and Future Research Streams
Learning to Discover Political Activism in the Twitterverse
Can Computers Learn from the Aesthetic Wisdom of the Crowd?
JazzFlow—Analyzing “Group Flow” Among Jazz Musicians Through “Honest Signals”
Solving Wicked Social Problems with Socio-computational Systems
A Brief Tutorial on How to Extract Information from User-Generated Content (UGC)
Interview with Jim Hendler on Social Media and Collective Intelligence
Interview with Bernado A. Huberman on Social Media and Collective Intelligence
Crowd-Powered Systems
From Texts to Networks: Detecting and Managing the Impact of Methodological Choices for Extracting Network Data from Text Data
News ( KI - Künstliche Intelligenz , Volume 27 , Issue 1 )
KI - Künstliche Intelligenz : Volume 26
KI - Künstliche Intelligenz : Volume 25
KI - Künstliche Intelligenz : Volume 24

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Crowd-Powered Systems

Content Provider Springer Nature Link
Author Bernstein, Michael S.
Copyright Year 2012
Abstract 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 first-order building blocks in software. We introduce computational techniques that decompose complex tasks into simpler, verifiable steps to improve quality, and optimize work to return results in seconds. Using these techniques, we prototype a set of interactive crowd-powered systems. The first, Soylent, is a word processor that uses paid micro-contributions to aid writing tasks such as text shortening and proofreading. Using Soylent is like having access to an entire editorial staff as you write. The second system, Adrenaline, is a camera that uses crowds to help amateur photographers capture the exact right moment for a photo. It finds the best smile and catches subjects in mid-air jumps, all in realtime. These systems point to a future where social and crowd intelligence are central elements of interaction, software, and computation.
Starting Page 69
Ending Page 73
Page Count 5
File Format PDF
ISSN 09331875
Journal KI - Künstliche Intelligenz
Volume Number 27
Issue Number 1
e-ISSN 16101987
Language English
Publisher Springer-Verlag
Publisher Date 2012-12-14
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Crowdsourcing Human-computer interaction Social computing Artificial Intelligence (incl. Robotics) Software Engineering/Programming and Operating Systems
Content Type Text
Resource Type Article
Subject Artificial Intelligence
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