Virtual Labor Lost
Academics are flocking to use virtual worlds and multiplayer games as ways to research everything from economics to epidemiology, and to turn these environments into educational tools. But one such highly anticipated effort–a multiplayer game about Shakespeare meant to teach people about the world of the bard while serving as a place for social-science experiments–is becoming its own tragedy.
The game, called Arden, the World of Shakespeare, was a project out of Indiana University funded with a $250,000 MacArthur Foundation grant. Its creator, Edward Castronova, an associate professor of telecommunications at the university, wanted to use the world to test economic theories: by manipulating the rules of the game, he hoped to find insights into the way that money works in the real world. Players can enter the game and explore a town called Ilminster, where they encounter characters from Shakespeare, along with many plots and quotations. They can answer trivia questions to improve their characters and play card games with other players. Coming from Castronova, a pioneer in the field, the game was expected by many to show the power of virtual-world-based research.
But Castronova says that there’s a problem with the game: “It’s no fun.” While focusing on including references to the bard, he says, his team ended up sidelining some of the fundamental features of a game. “You need puzzles and monsters,” he says, “or people won’t want to play … Since what I really need is a world with lots of players in it for me to run experiments on, I decided I needed a completely different approach.”
Castronova has abandoned active development of Arden; he released it last week to the public as is, rather than starting up the experiments he had planned. Part of the problem: it costs a lot to build a new multiplayer game. While his grant was large for the field of humanities, it was a drop in the bucket compared with the roughly $75 million that he says goes into developing something on the scale of the popular game World of Warcraft. “I was talking to people like it was going to be Shakespeare: World of Warcraft, but the money you need for that is so much more,” he says. Castronova also says that he was taking on too much by attempting to combine education and research. He believes that his experience should serve as a warning for other academics.
View images from the game.
Ian Bogost, a video-game researcher and assistant professor at the Georgia Institute of Technology, agrees. “It’s very, very hard to make games in the best of circumstances, and a university is never the best of circumstances,” he says. “I have serious doubts about not just the potential for success but even the appropriateness of pursuing development work of this kind in the context of the university.” If researchers are going to build games for the purposes of research, Bogost says, he thinks it’s important to look at the process realistically, and with a scientific eye. “In most disciplines, it’s okay to fess up to what worked and what didn’t. In laboratory work, you do this all the time … If this is really research and not just production, then of course there are going to be these kinds of surprises.”
Still, many academic researchers have high hopes for the potential uses of virtual worlds. Tim Lenoir, the Kimberly Jenkins chair for new technologies and society at Duke University, sees virtual worlds as powerful training tools. Lenoir is working on a world called Virtual Peace, intended to train people heading into difficult negotiation scenarios. For years, he says, the military and other organizations have used paper-based role-playing games for trainings. Virtual worlds are a natural step up from that, since they allow people to become more immersed in the scenario, and allow for richer background materials, he says.
And Nina Fefferman, an assistant research professor at Tufts University, recently published research on the Corrupted Blood plague, a virtual disease that spread through World of Warcraft in 2005. She believes that game scenarios such as this can provide certain insights into real-world epidemiology, and can be used to run experiments that would be impossible or unethical to run in any other way. “Insights from virtual worlds are like those gained from analyzing historical data,” she says. Fefferman is currently speaking with game developers with the hope of continuing her study of virtual epidemics.
Castronova is still planning to pursue experiments in virtual worlds. Social sciences need to be able to do controlled experiments, such as those done in the natural sciences, he says, and virtual worlds could be a good venue for that. In order to use them credibly, Castronova says, scientists need to test how accepted theories hold in game worlds. Political scientists should set up experiments to confirm that people in games vote in tune with their interests; sociologists should set up experiments to confirm that people’s relationship to conformity is similar; and economists should test the basic principles of supply and demand. “A virtual world is a tool like a petri dish,” he says. “We need to find out what you can do with a petri dish, and what kinds of things need a live rabbit.”
Castronova’s next step is to rebuild Arden with an eye toward making it a place where players will want to be. “What we’ve really learned is, you’ve got to start with a game first,” he says. “You just have to.” The new version is titled Arden II: London Burning.
The inside story of how ChatGPT was built from the people who made it
Exclusive conversations that take us behind the scenes of a cultural phenomenon.
Sam Altman invested $180 million into a company trying to delay death
Can anti-aging breakthroughs add 10 healthy years to the human life span? The CEO of OpenAI is paying to find out.
ChatGPT is about to revolutionize the economy. We need to decide what that looks like.
New large language models will transform many jobs. Whether they will lead to widespread prosperity or not is up to us.
GPT-4 is bigger and better than ChatGPT—but OpenAI won’t say why
We got a first look at the much-anticipated big new language model from OpenAI. But this time how it works is even more deeply under wraps.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.