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* (HC) Computerized tests. A computer generates a problem and presents it to evaluate a user. For example, [[CAPTCHA]] tells human users from computer programs by presenting a problem that is supposedly easy for a human and difficult for a computer. While CAPTCHAs are effective security measures for preventing automated abuse of online services, the human effort spent solving them is otherwise wasted. The [[reCAPTCHA]] system makes use of these human cycles to help digitize books by presenting words from scanned old books that optical character recognition cannot decipher.<ref>{{cite web |url=https://www.cs.cmu.edu/~biglou/reCAPTCHA_Science.pdf |title=reCAPTCHA: Human-Based Character Recognition via Web Security Measures |author=von Ahn, Luis; Benjamin Maurer, Colin McMillen, David Abraham, and Manuel Blum |access-date=12 May 2022}}</ref>
* (HC) Interactive online games: These are programs that extract knowledge from people in an entertaining way.<ref>{{cite web |url=http://www.20q.net/index.html |author=Burgener, Robin |title=20Q . net. Twenty Questions. The neural-net on the Internet. Play Twenty Questions |access-date=12 May 2022 |archive-url=https://web.archive.org/web/20000229091147/http://www.20q.net/index.html |archive-date=29 February 2000 |url-status=dead}}</ref><ref>{{cite web |url=https://www.cs.cmu.edu/~biglou/ESP.pdf |title=Labeling Images with a Computer Game |author=von Ahn, Luis, and Laura Dabbish |access-date=12 May 2022}}</ref><ref>{{cite web |url=https://www.cs.cmu.edu/~biglou/Verbosity.pdf |title=Verbosity: A Game for Collecting Common-Sense Facts |author=von Ahn, Luis; Mihir Kedia, and Manuel Blum |access-date=12 May 2022}}</ref><ref>{{cite web |url=https://www.cs.cmu.edu/~biglou/Phetch.pdf |title=Improving Accessibility of the Web with a Computer Game |author=von Ahn, Luis; Shiri Ginosar, Mihir Kedia, Ruoran Liu, and Manuel Blum |access-date=12 May 2022}}</ref><ref>{{cite web |url=https://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=7980953.PN.&OS=PN/7980953&RS=PN/7980953 |title=Method for labeling images through a computer game |author=von Ahn, Luis |date=19 July 2011 |access-date=12 May 2022}}{{US patent|7980953}}</ref>
* (HC) "Human Swarming" or "Social Swarming". The UNU platform for human swarming establishes real-time closed-loop systems around groups of networked users molded after biological swarms, enabling human participants to behave as a unified [[collective intelligence]].<ref>{{cite web |url=http://sites.lsa.umich.edu/collectiveintelligence/wp-content/uploads/sites/176/2015/05/Rosenberg-CI-2015-Abstract.pdf |title=Human Swarms: a real-time paradigm for Collective intelligence |author=Rosenberg, Louis B.|access-date=12 May 2021}}</ref><ref>http://sites.lsa.umich.edu/collectiveintelligence/wp-content/uploads/sites/176/2015/05/Rosenberg-CI-2015-Abstract.pdf {{Bare URL PDF |date=March 2022}}</ref><ref>{{cite web |url=https://mitpress.mit.edu/sites/default/files/titles/content/ecal2015/ch117.html |title=Swarms: a real-time paradigm for Collective intelligence |access-date=12 May 2022 |archive-url=https://web.archive.org/web/20151027132802/https://mitpress.mit.edu/sites/default/files/titles/content/ecal2015/ch117.html |archive-date=27 October 2015 |url-status=dead}}</ref><ref>{{cite web |url=https://papers.ssrn.com/sol3/papers.cfm?abstract_id=924249 |title=Infotopia: How Many Minds Produce Knowledge |author=Sunstein, Cass R. |date=August 16, 2006 |ssrn=924249 |access-date=12 May 2022}}</ref><ref>{{cite
* (NHC) Natural Human Computation involves leveraging existing human behavior to extract computationally significant work without disturbing that behavior.<ref>[https://arxiv.org/abs/1306.6376 Estrada, Daniel, and Jonathan Lawhead, "Gaming the Attention Economy" in ''The Springer Handbook of Human Computation'', Pietro Michelucci (ed.), (Springer, 2014)]</ref> NHC is distinguished from other forms of human-based computation in that rather than involving outsourcing computational work to human activity by asking humans to perform novel computational tasks, it involves taking advantage of previously unnoticed computational significance in existing behavior.
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Viewed as a form of social organization, human-based computation often surprisingly turns out to be more robust and productive than traditional organizations.<ref>{{cite web |url=http://research.3form.com/alex/pub/gecco-2002-18.pdf |title=Evolutionary Computation as a Form of Organization |author=Kosorukoff, Alexander, and David Goldberg |date=2002 |access-date=12 May 2022 |archive-url=https://web.archive.org/web/20110707063732/http://research.3form.com/alex/pub/gecco-2002-18.pdf |archive-date=7 July 2011 |url-status=dead}}</ref> The latter depend on obligations to maintain their more or less fixed structure, be functional and stable. Each of them is similar to a carefully designed mechanism with humans as its parts. However, this limits the freedom of their human employees and subjects them to various kinds of stresses. Most people, unlike mechanical parts, find it difficult to adapt to some fixed roles that best fit the organization. Evolutionary human-computation projects offer a natural solution to this problem. They adapt organizational structure to human spontaneity, accommodate human mistakes and creativity, and utilize both in a constructive way. This leaves their participants free from obligations without endangering the functionality of the whole, making people happier. There are still some challenging research problems that need to be solved before we can realize the full potential of this idea.
The algorithmic outsourcing techniques used in human-based computation are much more scalable than the manual or automated techniques used to manage outsourcing traditionally. It is this scalability that allows to easily distribute the effort among thousands of participants. It was suggested recently that this mass outsourcing is sufficiently different from traditional small-scale outsourcing to merit a new name [[crowdsourcing]].<ref>{{cite magazine |url=https://www.wired.com/2006/06/crowds/ |title=The Rise of Crowdsourcing |author=Howe, Jeff |magazine=Wired |date=June 2006|access-date=12 May 2022}}</ref> However, others have argued that crowdsourcing ought to be distinguished from true human-based computation.<ref>{{cite
Human Computation organizes workers through a task market with APIs, task prices, and software-as-a-service protocols that allow employers / requesters to receive data produced by workers directly in to IT systems. As a result, many employers attempt to manage worker automatically through algorithms rather than responding to workers on a case-by-case basis or addressing their concerns. Responding to workers is difficult to scale to the employment levels enabled by human computation microwork platforms.<ref name="mw-cw">{{cite journal | last1 = Irani | first1 = Lilly|author1-link=Lilly Irani | year = 2015 | title = The Cultural Work of Microwork | journal = New Media & Society | volume = 17 | issue = 5 | pages = 720–739 | doi = 10.1177/1461444813511926| s2cid = 377594 }}</ref> Workers in the system Mechanical Turk, for example, have reported that human computation employers can be unresponsive to their concerns and needs<ref name="to-acm">{{cite journal | last1= Irani|first1=Lilly|last2 = Silberman | first2 = Six | year=2013|title=Turkopticon:Interrupting Workers Invisibility on Amazon Mechanical Turk|journal=Proceedings of SIGCHI 2013|series=Chi '13|pages=611–620|url=http://dl.acm.org/citation.cfm?id=2470742|doi=10.1145/2470654.2470742|isbn=9781450318990|s2cid=207203679}}</ref>
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