November 25, 2002
Infants Build Knowledge of Their Visual World on Statistics
Baby's first look at the world is likely a dizzying array of shapes and motion
that are meaningless to a newborn, but researchers at the University of Rochester
have now shown that babies use relationships between objects to build an understanding
of the world. By noting how often objects appear together, infants can efficiently
take in more knowledge than if they were to simply see the same shapes individually,
says the paper published in the current issue of Proceedings of the National
Academy of Sciences.
Roughly 100 babies, all about nine months of age, watched a series of shapes such
as squares, circles, and arrows appearing together on a screen while researchers
watched the babies' attention. József Fiser postdoctoral fellow and Richard
N. Aslin, professor of brain and cognitive sciences, wanted to see if the nine-month-olds
would pay more attention to the pairs of shapes that occurred most often in a
crowded scene.
"It's long been assumed that we use relationships among parts of scenes to
learn which parts form whole objects, but the idea has never been tested, nor
was it clear how early this ability develops," says Fiser. "This research
shows that building a concept of the world by recognizing relationships among
shapes in images is possibly innate, and a very essential ability in babies."
To plumb the minds of infants, Fiser and Aslin had to first devise an experiment
that would test an infant's interest-a notoriously difficult enterprise given
that babies are poor communicators of their thoughts. Fiser and Aslin first tested
their experiment on college students, asking them to sit in a secluded room and
watch a video screen for 10 to 15 minutes. The students watched groups of six
shapes appear on the screen for a second or two before being replaced by a new
set. The students were then asked to pick out pairs of shapes that they saw together
most often in the previous series. Most students balked, saying they couldn't
remember the frequency of pairs from the hundreds of scenes they'd just watched.
But when pressed to pick out pairs, the students usually picked shapes that did
indeed occur most often together in the series. "This was strong evidence
that students had an ability to sense and automatically extract relationships
visually," says Fiser.
The next step was to see if nine-month-olds would display this same ability. The
babies sat on a parent's lap in the room while the shapes appeared three at a
time on a screen in front of them. After a pause, the shapes appeared again in
pairs, and the researchers timed how long the infant stared at each pair. Fiser
and Aslin wanted to know if they'd stare longer at the pairs that appeared more
often together in the first series, or stare for a shorter time, or whether there
was no correlation at all.
When the results of the 72 babies (the rest were dismissed because they wouldn't
cooperate with the pursuit of science) were tallied, a clear correlation emerged.
The babies paid more attention when two shapes that had been paired in the first
series were shown again together. The infants were using a sort of subconscious
statistical analysis of the shapes to pick out those that were familiar, just
as the students did.
"In order to make sense of the unknown you must be able to learn new things
and represent them to yourself in an efficient way," says Fiser. "You
don't want a mechanism that will tell you that leaves are always found on cars
just because you happened to see a leaf on a car once. You want a mechanism that
will tell you that cars can exist without leaves and vice versa, while at the
same time telling you that cars always come with wheels, for instance."
If a baby sees a leaf on a car, she would build a relationship between the two,
perhaps calling the combination a "leafcar." But she might then see
several cars without leaves on them and so the concept of leafcar is weakened
as she unconsciously realizes that statistically, the concept of leafcar is more
and more useless. Noting that every car she sees has wheels, however, becomes
statistically more and more useful as it is reinforced with every new car she
sees. This relationship-identification is important because the baby can build
her knowledge base on it. When she sees a wheelbarrow, she'll unconsciously note
that while all cars have wheels, not all wheels have cars, and a new concept of
wheels will begin to emerge. In this way, the frequency of relationships, and
the predictability between visual objects allows her to build knowledge on knowledge
in a hierarchical manner.
Fiser and Aslin are working on understanding more aspects of what innate ways
we have of dealing with the visual world, including studying the very basis of
the experiments themselves-why children pay attention at all. Fiser believes that
simpler tests essentially bore infants, so the babies pay more attention to new
stimuli. In more complex tests, however, it appears that babies tend to focus
on those events that are familiar because they are trying to make sense of the
scene and are using familiar sights to understand relationships and thus build
their knowledge. Fiser hopes to elucidate this distinction further to shed more
light on how our brain learns to encode the visual environment around us.
This research was funded by the National Science Foundation.