Examples of using Human computation projects in English and their translations into Indonesian
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Ecclesiastic
Human computation projects take a big problem;
Galaxy Zoo is a good illustration of how many human computation projects evolve.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
Galaxy Zoo is a good illustration of how many human computation projects evolve.
In the human computation projects that I have discussed in the chapter, participants were aware of what was happening.
This comparison shows that, as with Galaxy Zoo, human computation projects can produce high-quality results.
Human computation projects are ideally suited for easy-task-big-scale problems, such as labeling a million images.
This comparison shows that, as with Galaxy Zoo, human computation projects can produce high quality results.
It is these easy-for-people yet hard-for-computers microtasks that we can turn over to human computation projects.
Human computation projects take a big problem, break it into simple pieces, send them to many workers, and then aggregate the results.
Now I can also highlight twoimportant differences between open call projects and human computation projects.
Human computation projects take a big problem, break it into simple pieces, send them to many workers, and then aggregate the results.
This table shows that, unlike Galaxy Zoo, many other human computation projects use micro-task labor markets(e.g., Amazon Mechanical Turk).
Human computation projects take a big problem, break it into simple pieces, send them to many workers, and then aggregate the results.
Given this background, you can now see how Galaxy Zoo follows the split-apply-combine recipe,the same recipe that is used for most human computation projects.
Human computation projects take a big problem, break it into simple pieces, send them to many workers, and then aggregate the results.
This table shows that, unlike Galaxy Zoo, many other human computation projects use microtask labor markets(e.g., Amazon Mechanical Turk) and rely on paid workers rather than volunteers.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems that are not easily solved by computers.
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.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems that are not easily solved by computers.
In social research, human computation projects are most likely to be used in situations where researchers want to classify, code, or label images, video, or texts.
In human computation projects, such as Galaxy Zoo, where researchers have explicit control of the tasks, the focus of attention is easiest to maintain.
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. 2008).
In human computation projects, such as Galaxy Zoo, where researchers have explicit control of the tasks, the focus of attention is easiest to maintain.
Human computation projects combine the efforts of many people working on simple microtasks in order to solve problems that are impossibly big for one person.
Human computation projects combine the efforts of many people working on simple micro-tasks in order to solve problems that are impossibly big for one person.
In human computation projects, such as Galaxy Zoo, where researchers have explicit control of the tasks, the focus of attention is easiest to maintain.
In human computation projects, researchers combine the efforts of many people working on simple microtasks in order to solve problems that are impossibly big for one person.
Galaxy Zoo, and other human computation projects, typically use a split-apply-combine strategy(Wickham 2011), and once you understand this strategy you will be able to use it to solve lots of problems.