Primjeri korištenja Human computation na Engleski i njihovi prijevodi na Hrvatskom
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Human computation section 5.2.
Finally, the examples in this section show that human computation can have a democratizing impact on science.
Human computation section 5.2.
This comparison shows that,as with Galaxy Zoo, human computation projects can produce high-quality results.
Human computation enables you to have a thousand research assistants.
What these“games with a purpose have in common is that they try to make the tasks involved in human computation enjoyable.
The prototypical example of a human computation project is Galaxy Zoo, which I will describe in detail below.
What these"games with a purpose" have in common is that they try to make the tasks involved in human computation enjoyable.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
Large scale problems that involve tasks that are hard for computers andeasy for humans are well-suited for human computation.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems.
However, Benoit and colleagues were able to use their human computation system to do this coding-customized to their research question-quickly and easily.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
For researchers planning to use a micro-task labor market(e.g.,Amazon Mechanical Turk) for a human computation project, Chandler, Paolacci, and Mueller(2013) and Wang, Ipeirotis, and Provost(2015) offer good advice on task design and other related issues.
In the human computation projects that I have discussed in the chapter, participants were aware of what was happening.
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 take a big problem; break it into simple pieces; send them to many workers; and then aggregate the results.
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.
A classic example of a human computation project is Galaxy Zoo, where a hundred thousand volunteers helped astronomers classify a million galaxies.
In the human computation problems described in the previous section, the researchers knew how to solve the problems given sufficient time.
In the human computation problems described in the previous section, the researchers knew how to solve the problems given sufficient time.
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.
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, 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 micro-tasks in order to solve problems that are impossibly big for one person.
Further, because the human computation was quick and cheap, it was easy for them to customize their data collection to their specific research question about immigration.
In human computation and distributed data collection projects, moreover, the best form of quality control comes through redundancy, not through a high bar for participation.
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.
The term"human computation" comes out of work done by computer scientists, and understanding the context behind this research will improve your ability to pick out problems that might be amenable to it.
