ReCaptcha: Difference between revisions

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|field_project_name=reCaptcha
|field_project_name=reCaptcha
|field_project_access_URL=http://www.google.com/recaptcha
|field_project_access_URL=http://www.google.com/recaptcha
|field_project_description=reCAPTCHA is a user-dialogue system originally developed by Luis von Ahn, Ben Maurer, Colin McMillen, David Abraham and Manuel Blum at Carnegie Mellon University's main Pittsburgh campus, and acquired by Google in September 2009. Like the CAPTCHA interface, reCAPTCHA asks users to enter words seen in distorted text images onscreen. By presenting two words it both protects websites from bots attempting to access restricted areas and helps digitize the text of books. The reCAPTCHA service supplies subscribing websites with images of words that optical character recognition (OCR) software has been unable to read. The subscribing websites (whose purposes are generally unrelated to the book digitization project) present these images for humans to decipher as CAPTCHA words, as part of their normal validation procedures. They then return the results to the reCAPTCHA service, which sends the results to the digitization projects.
|field_team_leadermm=Google
|field_project_open=Yes
|field_project_open=Yes
|field_subject_areas=humanities
|field_subject_areas=Engineering and technology
|field_cs_subject_areas=other
|field_cs_subject_areas=other
|field_project_description=reCAPTCHA is a user-dialogue system originally developed by Luis von Ahn, Ben Maurer, Colin McMillen, David Abraham and Manuel Blum at Carnegie Mellon University's main Pittsburgh campus, and acquired by Google in September 2009. Like the CAPTCHA interface, reCAPTCHA asks users to enter words seen in distorted text images onscreen. By presenting two words it both protects websites from bots attempting to access restricted areas and helps digitize the text of books. The reCAPTCHA service supplies subscribing websites with images of words that optical character recognition (OCR) software has been unable to read. The subscribing websites (whose purposes are generally unrelated to the book digitization project) present these images for humans to decipher as CAPTCHA words, as part of their normal validation procedures. They then return the results to the reCAPTCHA service, which sends the results to the digitization projects.
|field_purpose_of_project=reCAPTCHA has worked on digitizing the archives of The New York Times and books from Google Books. As of 2012, thirty years of The New York Times had been digitized and the project planned to have completed the remaining years by the end of 2013.
|field_purpose_of_project=reCAPTCHA has worked on digitizing the archives of The New York Times and books from Google Books. As of 2012, thirty years of The New York Times had been digitized and the project planned to have completed the remaining years by the end of 2013.


[http://en.wikipedia.org/wiki/ReCAPTCHA Wikipedia], retrieved July 2013
[http://en.wikipedia.org/wiki/ReCAPTCHA Wikipedia], retrieved July 2013
|field_team_leadermm=Google
|field_participant_task_description=Scanned text is subjected to analysis by two different optical character recognition programs. Their respective outputs are then aligned with each other by standard string-matching algorithms and compared both to each other and to an English dictionary. Any word that is deciphered differently by both OCR programs or that is not in the English dictionary is marked as "suspicious" and converted into a CAPTCHA. The suspicious word is displayed, out of context, along with a control word already known. The system assumes that if the human types the control word correctly, then the response to the questionable word is accepted as probably valid.  
|field_participant_task_description=Scanned text is subjected to analysis by two different optical character recognition programs. Their respective outputs are then aligned with each other by standard string-matching algorithms and compared both to each other and to an English dictionary. Any word that is deciphered differently by both OCR programs or that is not in the English dictionary is marked as "suspicious" and converted into a CAPTCHA. The suspicious word is displayed, out of context, along with a control word already known. The system assumes that if the human types the control word correctly, then the response to the questionable word is accepted as probably valid.  
 
([http://en.wikipedia.org/wiki/ReCAPTCHA Wikipedia], retrieved July 2013)
[http://en.wikipedia.org/wiki/ReCAPTCHA Wikipedia], retrieved July 2013
|field_participant_retributions=none
|field_participant_retributions=none
|field_Haklay_typology=crowdsourcing
|field_Haklay_typology=crowdsourcing
Line 33: Line 32:
|field_socialsoftware_sites=N/A
|field_socialsoftware_sites=N/A
|field_team_work=N/A
|field_team_work=N/A
|field_free_text=About 200 million CAPTCHAs are solved by humans around the world every day. In each case, roughly ten seconds of human time are being spent. Individually, that's not a lot of time, but in aggregate these little puzzles consume more than 150,000 hours of work each day. What if we could make positive use of this human effort? reCAPTCHA does exactly that by channeling the effort spent solving CAPTCHAs online into "reading" books.  
|field_completion_level=Low
|field_last_edition=2013/09/10
|field_free_text=About 200 million CAPTCHAs are solved by humans around the world every day. In each case, roughly ten seconds of human time are being spent. Individually, that's not a lot of time, but in aggregate these little puzzles consume more than 150,000 hours of work each day. What if we could make positive use of this human effort? reCAPTCHA does exactly that by channeling the effort spent solving CAPTCHAs online into "reading" books.
}}
free text test;
{{Free text}}
{{bibliography
|field_author=Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham, Manuel Blum
|field_date=2008
|field_title=reCAPTCHA: Human-Based Character Recognition via Web Security Measures
|field_reference=Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham and Manuel Blum. 2008. "reCAPTCHA: Human-Based Character Recognition via Web Security Measures" Science 12 September 2008: Vol. 321 no. 589
|field_link=http://dx.doi.org/10.1126/science.1160379
|field_publication_type=Research article
}}
{{bibliography
|field_title=High Transcription Accuracy
|field_link=http://www.google.com/recaptcha/digitizing
|field_publication_type=other
|field_additional_information=(At google)
}}
{{bibliography
|field_title=Developer's Guide
|field_link=https://developers.google.com/recaptcha/intro
|field_publication_type=other
|field_additional_information=(At Google)
}}
{{bibliography
|field_author=Luis von Ahn, Laura Dabbish
|field_date=2005
|field_title=Labeling Images with a Computer Game
|field_reference=Luis von Ahn and Laura Dabbish. Labeling Images with a Computer Game. ACM Conf. on Human Factors in Computing Systems, CHI 2004. pp 319-326.
|field_link=http://www.cs.cmu.edu/~biglou/captcha_cacm.pdf
|field_publication_type=Research article
}}
}}
* Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham and Manuel Blum. 2008. "reCAPTCHA: Human-Based Character Recognition via Web Security Measures" Science 12 September 2008: Vol. 321 no. 5895 pp. 1465–1468. http://dx.doi.org/10.1126/science.1160379
* [http://www.google.com/recaptcha/digitizing High Transcription Accuracy]  (at Google)
* [https://developers.google.com/recaptcha/intro Developer's Guide] (at Google)
|field_free_text=}}

Latest revision as of 09:42, 22 September 2015

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Cs Portal > List of citizen science projects > reCaptcha - (2013/09/10)

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THIS PAGE DESCRIBE A CITIZEN SCIENCE PROJECT

⇾ DISCUSS THIS FORM

⇾ GO TO PORTAL

IDENTIFICATION

Participant's homepage
  • Infrastructure:
  • Developed with:
Start date :
  • Beta start date : N/A
  • End date : Still open.
Subject

⇳ Description reCAPTCHA is a user-dialogue system originally developed by Luis von Ahn, Ben Maurer, Colin McMillen, David Abraham and Manuel Blum at Carnegie Mellon University's main Pittsburgh campus, and acquired by Google in September 2009. Like the CAPTCHA interface, reCAPTCHA asks users to enter words seen in distorted text images onscreen. By presenting two words it both protects websites from bots attempting to access restricted areas and helps digitize the text of books. The reCAPTCHA service supplies subscribing websites with images of words that optical character recognition (OCR) software has been unable to read. The subscribing websites (whose purposes are generally unrelated to the book digitization project) present these images for humans to decipher as CAPTCHA words, as part of their normal validation procedures. They then return the results to the reCAPTCHA service, which sends the results to the digitization projects. ➠ Purpose [[Has project purpose::reCAPTCHA has worked on digitizing the archives of The New York Times and books from Google Books. As of 2012, thirty years of The New York Times had been digitized and the project planned to have completed the remaining years by the end of 2013.

Wikipedia, retrieved July 2013]] ? Research question

TEAM

MAIN TEAM LOCATION
Loading map...

Project team page Leader: Google Institution: Partner institutions: Contact:

USER TASKS

CONTRIBUTION TYPE: data interpretation
PARTICIPATION TYPOLOGY: crowdsourcing


GAMING GENRE NONE
GAMING ELEMENTS: NONE

COMPUTING
THINKING
SENSING
GAMING

◉ Tasks description [[Has participant task description::Scanned text is subjected to analysis by two different optical character recognition programs. Their respective outputs are then aligned with each other by standard string-matching algorithms and compared both to each other and to an English dictionary. Any word that is deciphered differently by both OCR programs or that is not in the English dictionary is marked as "suspicious" and converted into a CAPTCHA. The suspicious word is displayed, out of context, along with a control word already known. The system assumes that if the human types the control word correctly, then the response to the questionable word is accepted as probably valid. (Wikipedia, retrieved July 2013)]] ⤯ Interaction with objects

▣ Interface

  • Data type to manipulate: pictures
  • interface enjoyment:
  • Interface usability:

GUIDANCE

GUIDANCE
  • Tutorial: Somewhat
  • Peer to peer guidance: Somewhat
  • Training sequence: Somewhat
FEEDBACK ON
  • Individual performance: x
  • Collective performance: x
  • Research progress: Somewhat

❂ Feedback and guidance description

COMMUNITY

COMMUNITY TOOLS
  • Communication: website
  • Social Network: N/A
  • Member profiles:: no
  • Member profile elements:
NEWS & EVENTS
  • Main news site:
  • Frequency of project news updates: N/A
  • Type of events:
  • Frequency of events :

⏣ Community description

  • Community size (volounteers based)
  • Role:
  • Interaction form:
  • Has official community manager(s): no
  • Has team work N/A
  • Other:
  • Community led additions:


Other information

PROJECT

Url:http://www.google.com/recaptcha
Start date:
End date: Still open

TEAM

Official team page:
Leader: Google

PROJECT DEFINITION

Subject

Engineering and technology > (other)

Description

reCAPTCHA is a user-dialogue system originally developed by Luis von Ahn, Ben Maurer, Colin McMillen, David Abraham and Manuel Blum at Carnegie Mellon University's main Pittsburgh campus, and acquired by Google in September 2009. Like the CAPTCHA interface, reCAPTCHA asks users to enter words seen in distorted text images onscreen. By presenting two words it both protects websites from bots attempting to access restricted areas and helps digitize the text of books. The reCAPTCHA service supplies subscribing websites with images of words that optical character recognition (OCR) software has been unable to read. The subscribing websites (whose purposes are generally unrelated to the book digitization project) present these images for humans to decipher as CAPTCHA words, as part of their normal validation procedures. They then return the results to the reCAPTCHA service, which sends the results to the digitization projects.

Purpose.

reCAPTCHA has worked on digitizing the archives of The New York Times and books from Google Books. As of 2012, thirty years of The New York Times had been digitized and the project planned to have completed the remaining years by the end of 2013. Wikipedia, retrieved July 2013

.

ABOUT PARTICIPANT TASKS

Tasks description.

Scanned text is subjected to analysis by two different optical character recognition programs. Their respective outputs are then aligned with each other by standard string-matching algorithms and compared both to each other and to an English dictionary. Any word that is deciphered differently by both OCR programs or that is not in the English dictionary is marked as "suspicious" and converted into a CAPTCHA. The suspicious word is displayed, out of context, along with a control word already known. The system assumes that if the human types the control word correctly, then the response to the questionable word is accepted as probably valid. (Wikipedia, retrieved July 2013)

.

Grey typology Participation typology Contribution type:
Computing: NO Thinking: NO
Sensing: NO Gaming: NO
Crowdsourcing ☑ Distributed intelligence ☐
Participatory science ☐ Extreme citizen science ☐
Science outreach ☐
Data collection ☐
Data analysis ☐
Data interpretation ☑--------
Gaming
Genre: Gaming elements:
Interface
Data type to manipulate: pictures interface enjoyment:
Interface usability: 		Member profiles::no
Member profile elements:


ABOUT GUIDANCE AND FEEDBACK

Guidance Feedback on
Tutorial and documentation: SOMEWHAT
Training sequence: SOMEWHAT
Peer to peer guidance: SOMEWHAT
individual performance: NO
collective performance: NO
research progress: Somewhat

.

COMMUNITY

Tools News & Events

Communication: website
Social Network: N/A

Main news site:
Frequency of project news updates: N/A
Type of events:
Frequency of events :

Community description

Community size (volounteers based):
Role: Interaction form:
Has official community manager(s): no
 Has team work N/A

Other information about community:
Community led additions:

OTHER PROJECT INFORMATION



Yes [[has completion level::Low]




Yes

Engineering and technology other [[Has project purpose::reCAPTCHA has worked on digitizing the archives of The New York Times and books from Google Books. As of 2012, thirty years of The New York Times had been digitized and the project planned to have completed the remaining years by the end of 2013.

Wikipedia, retrieved July 2013]]


reCaptcha [[Has participant task description::Scanned text is subjected to analysis by two different optical character recognition programs. Their respective outputs are then aligned with each other by standard string-matching algorithms and compared both to each other and to an English dictionary. Any word that is deciphered differently by both OCR programs or that is not in the English dictionary is marked as "suspicious" and converted into a CAPTCHA. The suspicious word is displayed, out of context, along with a control word already known. The system assumes that if the human types the control word correctly, then the response to the questionable word is accepted as probably valid. (Wikipedia, retrieved July 2013)]] data interpretation none crowdsourcing pictures, other: Thinking: no Computing: no Sensing: no Gaming: no



N/A N/A N/A no no somewhat

no

no website N/A



N/A


N/A


Low

free text test;


Bibliography

BIBLIOGRAPHY


reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham, Manuel Blum (2008)

➥ http://dx.doi.org/10.1126/science.1160379
✄   Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham and Manuel Blum. 2008. "reCAPTCHA: Human-Based Character Recognition via Web Security Measures" Science 12 September 2008: Vol. 321 no. 589

reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham, Manuel Blum (2008)

http://dx.doi.org/10.1126/science.1160379
Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham and Manuel Blum. 2008. "reCAPTCHA: Human-Based Character Recognition via Web Security Measures" Science 12 September 2008: Vol. 321 no. 589


High Transcription Accuracy.

➥ http://www.google.com/recaptcha/digitizing
💬   (At google)

High Transcription Accuracy.

http://www.google.com/recaptcha/digitizing
(At google)


Developer's Guide.

➥ https://developers.google.com/recaptcha/intro
💬   (At Google)

Developer's Guide.

https://developers.google.com/recaptcha/intro
(At Google)


Labeling Images with a Computer Game. Luis von Ahn, Laura Dabbish (2005)

➥ http://www.cs.cmu.edu/~biglou/captcha cacm.pdf
✄   Luis von Ahn and Laura Dabbish. Labeling Images with a Computer Game. ACM Conf. on Human Factors in Computing Systems, CHI 2004. pp 319-326.

Labeling Images with a Computer Game. Luis von Ahn, Laura Dabbish (2005)

http://www.cs.cmu.edu/~biglou/captcha_cacm.pdf
Luis von Ahn and Laura Dabbish. Labeling Images with a Computer Game. ACM Conf. on Human Factors in Computing Systems, CHI 2004. pp 319-326.
Retrieved from "https://edutechwiki.unige.ch/mediawiki/index.php?title=ReCaptcha&oldid=56150"