There are still quite a few tasks that computers struggle to do, image recognition is a good example. Currently there’s only one way to complete these tasks and that’s manually. This can obviously take a long time to do but there is a solution, you just need to find thousands of people to take part – this is exactly what we are seeing more and more of right now.
The internet is ideal way to get many thousands of people together, and with the right task really great things can be achieved. Of course, it’s not as easy as uploading thousands of images and expecting people to look through them for you – if we don’t find the images interesting then we are simply not going to take part. One way to keep a task interesting is to make the process into a game and compete with other like minded people.
The other problem is making sure the tasks are being performed correctly. The current preferred solution is to first train the participants and secondly to randomly test them against already checked responses. This also removes any unscrupulous individuals intent on causing problems and ultimately makes the completed task more reliable.
Some examples of human computing follow.
The first test of the idea was back in 2000, and was called Click Workers. It was run by Nasa and the idea was simply to select craters on Mars. The interface is quite basic, and reflects some of the early internet’s draw backs clearly lacking some of the enhancements in more recent projects, but the project proved that the concept could work.
The stardust project
One of the first projects to use some of the latest Web 2.0 ideas was the Stardust Project. Stardust was a sample return mission to collect interstellar particles passing through the Solar System. The particles were tiny and captured in a gel like substance (see image), it was as they put it
“…like looking for 45 ants on a football pitch.”
more information about the project here.
For the website the “gel” was imaged at a high resolution and small pieces then farmed off to an individuals. First each individual was given a test to make sure they knew what they were looking for, then they were given a really image of the “gel” and had to decide if it contained a particle or not. The whole idea was to pretty much search for the stuff stars (and everything) are made of, as if you were some intergalatic explorer, as they put it:
“The best attitude for this project is this: Have fun!”
good advice for anyone wanted to set up their own human computing experiment.
The galaxy zoo project
The next project to give this a try was the galaxy zoo project. The idea here was to try to classify galaxies into spiral (as image) or elliptical. There exists thousands and thousands of photographs of the night sky unseen by human eyes and just waiting for the next great discovery to be made – step up the next group of intergalatic explorers.
This project was in a similar vain to the previous one but executed with a slightly slicker interface. This also had a massive following, with quite quickly millions of galaxy classifications taking place. Participants were again trained and tested during their continual classification. Friendly competition was enhanced with high score tables and records of right and wrong classifications.
The foldit game
One of the more advanced software programs in human computing tasks is the FoldIt Game, it’s also one of the cleverest ideas and one of the most fun to do. The idea is you have to fold proteins so that they can have the right shape to combine with other proteins, these can then be used to cure real world diseases.
This one is attempting something slightly different from the other examples here. Rather than classification, this one actually wants you to solve some rather complex problems. Many of the puzzles have unknown solutions and there may even be some that have no solution.
It’s fairly simple to get started, the puzzles have a nice learning curve and the interface has been well designed. Just use the mouse to grab or shake parts of the protein to see what happens. You’ll have to download the program to try it yourself.
More detailed information can be found here.
This is the final one we’ll look at here, and the idea takes various human computing tasks into the mainstream. GWAP comes from “Games With A Purpose” and there are several games here to compete in. All are primarilly designed to be fun to play but are cleverly designed to help computers recognise things like images or words.
To check that it is being correctly played, couples co-operate anomonously and try to, for instance, tag a photo with the same word, or ring the same part of an image. Doing this means it effectively checks itself, and the more people that play the games the more reliable the information becomes.
Check out more info here. And for an in depth look into GWAP and similar ideas check this video out.
It seems like more and more projects are being started that utilise these unique human abilities, and with each new project becomes an ever more ingenious idea. But the question is how long will it be before computers have the abilities to do t
hese tasks themselves? Well, with more of these projects actually aimed at improving computers in the first place, maybe it’ll be sooner than we think.
One last thing I must mention though is the darker side of human computing. It’s already been shown that criminals have used this technique to bypass the CAPTCHA login systems by employing enough humans to sort through the vast outputs.
Let me know of any other human computing projects you’ve come across.