Human Computation: Google Tech Talk

In summary, the tech talk at Google discusses the use of humans in collecting useful information, particularly for images, through the use of games. This approach is seen as a logical and interesting way to gather data. However, there were some technical issues with the captioning, specifically with the word "CAPTCHA" being consistently misheard as "capture". Overall, the concept of human computation is not new, as it is essentially what white-collar workers do, but the amount of time people are willing to spend on a simple game for this purpose is intriguing.
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The following tech talk at google discusses using humans to collect useful information for things such as images, using games.
It's an interesting approach, which certainly makes a lot of sense.

http://video.google.com/videoplay?docid=-8246463980976635143&q=techtalk&hl=en
 
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I've only watched the first few minutes, but the captioning is really annoying. Not only does it run ahead of the speech by several seconds, it keeps saying "capture" when he's saying CAPTCHA, even though he put the word CAPTCHA on several projector slides and it's basically the topic of his talk (well, the first five minutes).

Having watched the rest of it, it is pretty interesting. The idea of human computation is not at all new--after all that's what white-collar workers spend their days doing. It is interesting though how much time people will sink into a game that simple.
 
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I completely agree, human computation is a fascinating concept that has been gaining traction in recent years. It's amazing to see how technology has advanced to the point where we can harness the power of human minds to solve complex problems and gather valuable information.

One of the most compelling aspects of human computation is the potential for it to be used in a wide range of applications. As the speaker in the tech talk mentioned, it has been successfully used for tasks such as image labeling and data verification. But it can also be applied to other areas such as language translation, data analysis, and even medical diagnosis.

What I find particularly interesting is the use of games as a means of collecting human-generated data. This not only makes the process more engaging for users, but it also allows for a larger and more diverse pool of participants. It's a win-win situation where individuals can have fun while contributing to a greater cause.

Of course, there are also ethical considerations that need to be addressed when using human computation. As mentioned in the talk, measures must be put in place to ensure the privacy and fair compensation of participants. It's important to strike a balance between utilizing human computation for its benefits while also being mindful of potential exploitation.

Overall, I believe human computation has a lot of potential and it will be interesting to see how it continues to evolve and be integrated into various industries. Thank you for sharing this insightful tech talk!
 

Related to Human Computation: Google Tech Talk

1. What is human computation?

Human computation is a method of problem-solving that combines human intelligence and computer algorithms. It involves dividing a large problem into smaller tasks that can be completed by individuals or a group of people, and then combining the results to solve the overall problem.

2. Why is human computation important?

Human computation allows for complex tasks that cannot be easily completed by computers alone to be solved efficiently. It also harnesses the power of human cognition and creativity, which can often outperform even the most advanced algorithms.

3. How is human computation used in Google Tech Talks?

In Google Tech Talks, human computation is used to improve the accuracy of search results and to train machine learning algorithms. It is also used for tasks such as image labeling, data categorization, and language translation.

4. What are some challenges of human computation?

Some challenges of human computation include ensuring the quality and accuracy of human contributions, managing the scalability of tasks, and addressing potential biases or errors introduced by human involvement.

5. What are the potential ethical concerns surrounding human computation?

There are several potential ethical concerns surrounding human computation, such as ensuring fair compensation for human workers and protecting their privacy. There is also a risk of exploitation or manipulation of human workers, especially in crowdsourcing platforms.

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