Invited Talk: Human Computation Luis von Ahn Carnegie Mellon University Pittsburgh, PA USA
[email protected] ABSTRACT algorithm—it must be proven correct, its efficiency can be Tasks like image recognition are trivial for humans, but analyzed, a more efficient version can supersede a less effi- continue to challenge even the most sophisticated computer cient one, and so on. Instead of using a silicon processor, programs. This talk discusses a paradigm for utilizing hu- these “algorithms” run on a processor consisting of ordi- man processing power to solve problems that computers nary humans interacting with computers over the Internet. cannot yet solve. Traditional approaches to solving such “Games with a purpose” have a vast range of applications problems focus on improving software. I advocate a novel in areas as diverse as security, computer vision, Internet approach: constructively channel human brainpower using accessibility, adult content filtering, and Internet search. computer games. For example, the ESP Game, described in Two such games under development at Carnegie Mellon this talk, is an enjoyable online game – many people play University, the ESP Game and Peekaboom, demonstrate over 40 hours a week – and when people play, they help how humans, as they play, can solve problems that com- label images on the Web with descriptive keywords. These puters can’t yet solve. keywords can be used to significantly improve the accuracy of image search. People play the game not because they LABELING RANDOM IMAGES want to help, but because they enjoy it. Several important online applications such as search en- gines and accessibility programs for the visually impaired Categories and Subject Descriptors require accurate image descriptions.