Babies are trying their moms smiles as much as possible, while they smile as little as possible.
Why do babies smile when they interact with their parents? Could their smiles have a purpose? In the Sept. 23 issue of PLOS ONE, a team of computer scientists, roboticists and developmental psychologists confirm what most parents already suspect: when babies smile, they do so with a purpose—to make the person they interact with smile in return.
In addition, babies reach that goal by using sophisticated timing, much like comedians who time their jokes to maximize audience response. But there is a twist: babies seem to be doing this while smiling as little as possible.
Researchers detail their findings in an innovative study that combines developmental psychology, computer science and robotics—an approach that has never been tried before, to the best of the researchers’ knowledge. The study is part of an effort funded by the National Science Foundation to use robots to better understand human development. It gives developmental psychologists a tool for studying non-verbal children and adults, such as those with autism, researchers said.
To verify their findings, researchers programmed a toddler-like robot to behave like the babies they studied and had the robot interact with undergraduate students. They obtained the same results: the robot got the undergraduates to smile as much as possible, while smiling as little as possible.
“If you’ve ever interacted with babies, you suspect that they’re up to something when they’re smiling. They’re not just smiling randomly,” said Javier Movellan, a research scientist in the Machine Perception Laboratory at the University of California, San Diego, and one of the study’s authors. “But proving this is difficult.”
To find out what babies are really up to, researchers turned to optimal control theory, a tool often used in robotics. The method allows researchers to design and program robots to perform a specific behavior based on specific goals. In this study, the researchers used the method to reverse engineer what the babies’ goals were based on their behavior.
Researchers used data from a previous study that observed the face to face interactions of 13 pairs of mothers and infants under the age of four months, including when and how often the mothers and babies smiled. After running the data through their reverse-control theory algorithms, researchers were actually surprised by the findings, said Paul Ruvolo, a professor at Olin College of Engineering and an alumnus of the Jacobs School of Engineering at UC San Diego. “We thought either the babies had no goal or it was about mutual smiling,” he said. Researchers are careful to point out that they can’t determine if the babies are conscious of what they’re doing. “We are not claiming that a particular cognitive mechanism, for instance conscious deliberation, is responsible for the observed behaviors. Our methods are agnostic to this question.” Ruvolo said.
Even though the sample size was small, the findings were statistically strong, said Movellan. The control theory data analysis found that 11 out of the 13 babies in the study showed clear signs of intentional smiling. Movellan and his team have been working for several years to program a realistic humanoid robot. “Our goal was to have human development inform the development of social robots,” said Ruvolo.
Diego-san, a toddler-like robot, interacted with undergraduates during three-minute sessions.
So the researchers developed a program that mimicked the babies’ actions and transferred it onto Diego San, a toddler-like robot that Movellan’s team had used for similar studies in the past. Diego San interacted with 32 UC San Diego undergraduates individually during three-minute sessions where it displayed one of four different behaviors. For example, the robot was programmed to smile back every time the undergraduates smiled—a big favorite with the study’s subjects. When Diego San behaved like the babies in the study, the undergraduate students behaved like the babies’ mothers: they smiled a lot even while the robot didn’t have to smile that much.
Study co-author Dan Messinger from the University of Miami, received a grant to model babies’ responses to brief pauses in interaction based on the study’s data.
“What makes our study unique is that previous approaches to studying infant-parent interaction essentially describe patterns,” said Messinger. “But we couldn’t say what the mother or infant is trying to obtain in the interaction. Here we find that infants have their own goals in the interaction, even before four months of age.”
Movellan will present a demonstration of related work Oct. 30 at the Contextual Robotics Forum at the Jacobs School of Engineering at UC San Diego.