Heymann, Paul and Garcia-Molina, Hector (2010) Human Processing. Technical Report. Stanford InfoLab.
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Abstract
In the future, humans will work for machines. This paper proposes an environment focused on modularity and reuse that makes human programming accessible to regular programmers. We compare the environment to the two most common environments available today.
Item Type: | Techreport (Technical Report) |
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Uncontrolled Keywords: | human processing, human programming, human computation, models |
Projects: | Miscellaneous |
ID Code: | 977 |
Deposited By: | Paul Heymann |
Deposited On: | 21 Jul 2010 15:23 |
Last Modified: | 21 Jul 2010 15:23 |
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