reCAPTCHA: Human-Based Character Recognition via Web Security Measures
By L. von Ahn, B. Maurer, Colin McMillen, David J. Abraham, Manuel Blum. Science, 2008
1,261 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/5a9bb4750818b756e68e91347fd7618cf96e019b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michael S. Bernstein
- Lydia B. Chilton
- M. Franklin
- Jiannan Wang
- Melissa A. Valentine
- José Hernandez-Orallo
- Guoliang Li
- Daniela Retelny
In Information Systems
- Lydia B. Chilton
- Michael S. Bernstein
- Melissa A. Valentine
- Daniela Retelny
- Rob Miller
- José Hernandez-Orallo
- M. Franklin
- Evgeniy Gabrilovich
In Human-Computer Interaction
- Michael S. Bernstein
- Lydia B. Chilton
- Melissa A. Valentine
- José Hernandez-Orallo
- Daniela Retelny
- Scott Clifford
- Evgeniy Gabrilovich
- Nassir Navab
Citations in the corpus
- Human computation (2009, neutral): “Design, Security, Human Factors, Theory.”
- Quizz: targeted crowdsourcing with a billion (potential) users (2014, background): “ReCAPTCHA [34] verifies that users are humans by asking them to transcribe letters from a distorted image, thus helping with the digitization of books.”
- The shape of and solutions to the MTurk quality crisis (2020, methodology): “At the end of the survey, we also utilized reCAPTCHA to weed out potential bots (von Ahn et al., 2008).”
- Quantification of YouTube QoE via Crowdsourcing (2011, background): “Finally, Section VI concludes this work, discussing the potential of the crowdsourcing method.”
- Text Detection and Recognition in Imagery: A Survey (2015, background): “Segmentation has been identified as one of the most challenging problems [66], and recent approaches often integrate”
- Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement (2017, methodology): “…properties may also be of interest: enjoyability, resilience, aggressiveness, fun, etc. Finally, there is a kind of test that is related to the Turing Test, the so-called CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) (von Ahn et al, 2004; von Ahn et al, 2008).”
- Crowdsourced Data Management: A Survey (2016, background): “digitized printed material by getting Internet users to transcribe words from scanned texts [117].”
- crowdsourcing : rating annotators and obtaining cost-effective labels (2010, neutral): “Using annotator consistency to obtain ground truth has also been used in the context of paired games and CAPTCHAs [11, 12].”