Three Questions for Robotics Inventor Cynthia Breazeal about Social Robots
As an academic, Cynthia Breazeal pioneered research into social interaction between humans and robots, developing Kismet, a robot that used facial expressions in a meaningful way. This week a company she founded announced Jibo, a prototype robot that aims to bring some of the ideas developed through this research to market. Jibo’s body and face are simple but emotionally expressive, and the robot responds to simple voice commands. For example, it can be told to shoot videos, relay messages, or operate “smart-home” gadgets. Breazeal spoke to Will Knight, MIT Technology Review’s news and analysis editor, about the inspiration for Jibo, and the challenges of commercializing social robots.
What’s so special about Jibo?
We’ve been creating social robots for many, many years. They’ve tended to be research robots—extravagant, expensive, temperamental robots. We can now create a social robot at a mass consumer price point.
When you think about how human beings really experience the world—think, act, and behave—it’s social, it’s emotional, it’s physical. A really simple example is that you can turn on the camera app on your smartphone, you can step out of the action, and you can take a picture. But a social robot plays that role on your behalf. You can ask Jibo to take a picture, and he goes into cameraman mode. But he’s also got autonomy, so he’s able to track faces and see where people are in the environment—so you can be in those pictures.
Verbal communication is notoriously difficult for machines. How sophisticated is Jibo’s voice interface?
One of the big lessons we’ve learned from a lot of AI is that the more you can scope the task, the better the chances that you’re going to deliver a good experience. So Jibo’s speech and natural language processing capabilities are purposely designed to support the skills that Jibo has.
Jibo is a charming, enchanting little persona, but he is really trying to support you specifically with what he can do. Of course, over time the skills will expand, but we’re not saying you can say whatever you want and Jibo will do something useful.
What have you learned since developing Kismet?
That people’s interactions with social robots combine the best attributes of human relationships, companion-animal relationships, and our relationships with technology.
We did this weight-management robot a number of years ago, and one of the fascinating things we found was that the physical attributes of the robot really tapped into people’s minds in a way that they were more engaged with the robot, and did better than when just using a computer, even when the information was identical. People also formed this emotional relationship with the robot that was almost more like [the relationship with] a companion animal. The human robot relation is something very special and very different. Once you understand that, you can start to leverage it in a way that really empowers people.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.