Examples of using Human computation in English and their translations into Danish
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Human computation section 5.2.
Galaxy Zoo shows the evolution of many human computation projects.
Human computation, open call, and distributed data collection.
Turned Galaxy Zoo into what I would call a second-generation human computation system.
Human computation enables you to have a thousand research assistants.
You might have a research problem suitable for human computation if you have ever thought.
Human computation, open call, and distributed data collection Figure 5.1.
You might have a research problem suitable for human computation if you have ever thought.
Second generation human computation systems also use machine learning in order to amplify the human effort.
By this definition FoldIt-which I described in the section on open calls-could be considered a human computation project.
Here's how Luis von Ahn(2005) described human computation when he first coined the term in his dissertation.
Large scale problems that involve tasks that are hard for computers andeasy for humans are well-suited for human computation.
The prototypical example of a human computation project is Galaxy Zoo, which I will describe in detail below.
Given this background, we can now see how Galaxy Zoo follows the split-apply-combine recipe,the same recipe that is used for most human computation projects.
Here's how Luis von Ahn(2005) described human computation when he first coined the term in his dissertation.
Human computation projects take a big problem; break it into simple pieces; send them to many workers; and then aggregate the results.
Finally, the examples in this section show that human computation can have a democratizing impact on science.
Two clever human computation projects that I did not have space to discuss are the ESP Game(Ahn and Dabbish 2004) and reCAPTCHA Ahn et al.
This comparison shows that,as with Galaxy Zoo, human computation projects can produce high quality results.
In human computation projects, such as Galaxy Zoo, where researchers have explicit control of the tasks, the focus of attention is easiest to maintain.
For an excellent book length treatment of human computation, in the most general sense of the term, see Law and Ahn 2011.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems that are not easily solved by computers.
If this approach does not scale well,the researcher can move to a human computation project where many people contribute classifications.
In other words, human computation enabled them to generate coding of political texts that agreed with expert evaluations and was reproducible.
Coding political manifestos, something typically done by experts,can be performed by a human computation project resulting in greater reproducibility and flexibility.
In addition to creating human computation and open calls, researchers can also create a distributed data collection project.
First, in open call projects the researcher specifies a goal(e.g., predicting movie ratings) whereas in human computation the research specifies a micro-task e.g., classifying a galaxy.
In addition to creating human computation and open call projects, researchers can also create distributed data collection projects.
For a book-length treatment of human computation, in the most general sense of the term, see Law and Ahn 2011.
In the human computation problems described in the previous section, the researchers knew how to solve the problems given sufficient time.