Examples of using Human computation in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
the researcher can move to a human computation project where many people contribute classifications.
What these“games with a purpose” have in common is that they try to make the tasks involved in human computation enjoyable.
can be performed by a human computation project resulting in greater reproducibility and flexibility.
the same recipe that is used for most human computation projects.
What these“games with a purpose” have in common is that they try to make the tasks involved in human computation enjoyable.
Foldit- which I described in the section on open calls- could be considered a human computation project.
predicting movie ratings), whereas in human computation, the researcher specifies a microtask(e.g., classifying a galaxy).
predicting movie ratings), whereas in human computation, the researcher specifies a microtask(e.g., classifying a galaxy).
many other human computation projects use microtask labor markets(e.g., Amazon Mechanical Turk)
I call this a computer-assisted human computation project because, rather than having humans solve a problem,
Amazon Mechanical Turk) for a human computation project, Chandler,
Because very similar challenges arise in most human computation projects, it is helpful to briefly review the three steps that the Galaxy Zoo researchers used to produce their consensus classifications.
Because very similar challenges arise in most human computation projects, it is helpful to briefly review the three steps that the Galaxy Zoo researchers used to produce their consensus classifications.
researchers need to build a computer-assisted human computation system in which human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
Galaxy Zoo, and other human computation projects, typically use a split-apply-combine strategy(Wickham 2011),
Researchers interested in creating what I have called second generation human computation systems(e.g., systems that use human labels to train a machine learning model)
Because very similar challenges arise in most human computation projects, it is helpful to briefly review the three steps that the Galaxy Zoo researchers used to produce their consensus classifications.
At that point, researchers need to build a computer-assisted human computation system in which human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
First, one way that I distinguish between human computation and open call projects is whether the output is an average of all the solutions(human computation)
I call this a computer-assisted human computation project because, rather than having humans solve a problem,