Human Computation and the Story of Google Image Labeller Slaves
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- Luis von Ahn
- ABSTRACT
- AUTHORS
- abstract
- REFERENCES
- CITED BY
- PUBLICATION
- Human Computation and the Story of the Google Image Labeller Slave Machine
- Google Image Labeler (i went for kitty after I tried to communicate with my partner and got shut down) stay tuned for my Google Image Labeler Slave Story)
- http://whatgetsmehot.posterous.com/google-image-labeler-i-went-for-kitty-after-i
- Welcome to Google Image Labeler Slave Machine (video at 11)
- How does it work?
ABSTRACT
Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk discusses a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game - many people play over 40 hours a week - and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it.
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abstract
REFERENCES
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CITED BY
3 Citations
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INDEX TERMS
Primary Classification:I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.m MiscellaneousINDEX TERMSPUBLICATION
| Title | K-CAP '07 Proceedings of the 4th international conference on Knowledge capture table of contents |
| Editors | Derek Sleeman University of Aberdeen, UK |
| Ken Barker University of Texas at Austin | |
| Pages | 5 - 6 |
| Sponsors | SIGART ACM Special Interest Group on Artificial Intelligence |
| ACM Association for Computing Machinery | |
| Publisher | ACM New York, NY, USA ©2007 |
| ISBN: 978-1-59593-643-1 Order Number: 607070 doi>10.1145/1298406.1298408 | |
| Paper Acceptance Rate | 20 of 60 submissions, 33% |
Google TechTalks July 26, 2006 Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship. ABSTRACT Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game -- many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it. I describe other examples of "games with a purpose": Peekaboom, which helps determine the location of objects in images, and Verbosity, which collects common-sense knowledge. I also explain a general approach for constructing games with a purpose. Google TechTalks July 26, 2006 Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship. ABSTRACT Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game -- many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image ...all » Google TechTalks
July 26, 2006
Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship.
ABSTRACT
Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human...
Google TechTalks July 26, 2006 Luis von Ahn is an assistant professor in the Computer Science Department at Carnegie Mellon University, where he also received his Ph.D. in 2005. Previously, Luis obtained a B.S. in mathematics from Duke University in 2000. He is the recipient of a Microsoft Research Fellowship. ABSTRACT Tasks like image recognition are trivial for humans, but continue to challenge even the most sophisticated computer programs. This talk introduces a paradigm for utilizing human processing power to solve problems that computers cannot yet solve. Traditional approaches to solving such problems focus on improving software. I advocate a novel approach: constructively channel human brainpower using computer games. For example, the ESP Game, described in this talk, is an enjoyable online game -- many people play over 40 hours a week -- and when people play, they help label images on the Web with descriptive keywords. These keywords can be used to significantly improve the accuracy of image search. People play the game not because they want to help, but because they enjoy it. I describe other examples of "games with a purpose": Peekaboom, which helps determine the location of objects in images, and Verbosity, which collects common-sense knowledge. I also explain a general approach for constructing games with a purpose.
Human Computation and the Story of the Google Image Labeller Slave Machine
Google Image Labeler (i went for kitty after I tried to communicate with my partner and got shut down) stay tuned for my Google Image Labeler Slave Story)
http://whatgetsmehot.posterous.com/google-image-labeler-i-went-for-kitty-after-i
Your partner has suggested 18 labels.
off-limits
cat
kitten
kitty
cute
my labels
im just wondering if you saw
the video about this process
and how we get to be unpaid
http://whatgetsmehot.posterous.com/welcome-to-google-image-labeler-slave-machine
http://www.google.com/search?q=Google+TechTalks+July+26%2C+2006&ie=utf-8&oe=utf-8&aq=t&rls=org.mozilla:en-US:official&client=firefox-a
Welcome to Google Image Labeler Slave Machine (video at 11)
What do you need to participate?
Just an interest in helping Google improve the relevance of image search for users like yourself. If you log in to your Google account, we will keep track of your points for you. You may also enter a nickname, but we do not require either a nickname or a login to use Google Image Labeler.
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