articleMay 7, 2011Closed access
Human computation
University of Maryland, College Park
Indexed incrossref
Abstract
The rapid growth of human computation within research and industry has produced many novel ideas aimed at organizing web users to do great things. However, the growth is not adequately supported by a framework with which to understand each new system in the context of the old. We classify human computation systems to help identify parallels between different systems and reveal "holes" in the existing work as opportunities for new research. Since human computation is often confused with "crowdsourcing" and other terms, we explore the position of human computation with respect to these related topics.
Citation impact
800
total citations
- FWCI
- 179.38
- Percentile
- 100%
- References
- 57
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Parallels
- Computation
- Computer science
- Crowdsourcing
- Context (archaeology)
- Data science
- Artificial intelligence
- World Wide Web
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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