Human Computation - Human Computation Institute Blog

Where do robots get their motives?

Who determines what values a robot has? Who determines what is right for society and what is wrong? And what does the guy who made the computer mouse have do

Conferences

What is Gamification and How Does it Affect Us? Why You're ACTUALLY Addicted to Your Phone

Gamification is all around us and I bet you'd be able to find an example of it in your own life.

hciconvergence

HCI convergence: know our calendar for citizen science month

We are happy to share with you our April activities, an itinerary that will have us traveling from different parts of the world... and you can join us too!

About

Caprarom visited us in the lab… and so can you!

Ok, so we can't invite all 40,000 catchers to meet us at the office, but we wanted to show you around. Mike Capraro, whom you may know from the

Stall Catchers

Meet the bot authors - Kirill Brodt and his bot “Clsc2”!

Onto the next! We will be interviewing another one of our “Bot Makers” in this second installment of our three part series. In the last blog post, we had the

Stall Catchers

Meet the bot authors - Laura Onac and her bot “GAIA”

And GAIA makes three! Some of you might remember Laura Onac’s bot, GAIA, as she was the first bot EVER to play Stall Catchers. Wow, time flies! GAIA was

Microsoft

Microsoft’s annual Giving Campaign - a time of year when volunteering blooms

Last month alone, the Stall Catchers community grew by 1,167 new catchers! And there’s a great reason for this - October is Microsoft’s annual Giving Campaign, during

Stall Catchers

Meet the bot authors - Roman Solovyev and his bot “ZFTurbo”!

The Bot study in Stall Catchers just ended. We have already discussed bots so much. Players constantly saw bot names on the leaderboard. And the bots analyzed so much data.

Microsoft

The human/machine partnership solving Alzheimer's disease 📹

How do we combine the best of humans and machines in Stall Catchers - the game crowdsourcing Alzheimer's disease? It took lots of exploration of the existing machine learning algorithms, calibration of crowd wisdom algorithms, and combination of the two in the best possible

Science

Science of Stall Catchers: Our new Magic Number 🔮✨

Ever wonder how we get reliable crowd answers in Stall Catchers? Well, there's a special kind of magic for that! Our goal with Stall Catchers is to use crowd power

Stall Catchers

Why aren't we using machines instead of humans to catch stalls?

Updated, 26 Dec 2018: This issue does not stand still! For most recent updates, see this forum thread. A common, and reasonable question that we are frequently asked is "