Baby Meets Big Brother For Science
dylanduck writes "A baby is to be monitored by a network of microphones and video cameras for 14 hours a day, 365 days a year, in an effort to unravel the seemingly miraculous process by which children acquire language. I guess that's what happens when your pop works at MIT's Media Lab. Thankfully his parents can switch off the surveillance for 'private' moments and delete short scenes. All the footage is being classified by algorithms."
Meanwhile, the baby's mother (a hot Brazillian model) is not told about the cameras. The baby's father (the rich MIT geek) is clueless why his buddies picked HIS house to do the experiment.
Funnypics
I wonder if the baby's name is Truman?
I Am My Own Worst Enemy
If you can't see them, there are 9 fish eye cameras mounted at certain points of the house and a day passes in 30 seconds (a la National Geographic plant blooming or Requiem for a Dream old lady on crack).
Each camera seems to have a round piece of paper ready to flip up and down to cover it (possibly via light switch in the room/area) should the family choose it to be necessary.
I think this is a wonderful and innovative idea, my only concern resides in the child's rights. I'm going to say I don't agree with even releasing these short clips to the public. I believe that this footage should be collected, protected & anonymity of the child enforced until the child is 18--at which point they will be capable of releasing the footage under whatever license (GPL even, lol) they deem appropriate. I understand that the parents have full custody, I only hope this child is in no way taken advantage of like so many prodigious children are by their parents.
My work here is dung.
Suprisingly, the Baby's first words mimick the sounds made by the recording equipment:
"beep"
"zzzzZZZZZZzzz"
"click click click click"
"Can of worms? The can is open... the worms are everywhere."
4% Pooping
26% Fussiness
8% Crying
18% Eating
21% Drooling
22% Peek a Boo
1% Language Acquisition
There are 01 kinds of cars in the world. The General Lee, and everything else.
Just wait until some pranksters teach the kid to say "Caltech."
This tagline is copyrighted material. Please send $10 for an affordable replacement.
There is not much more for a camera to record here (of the baby).
The baby will make sounds constantly. More and more sounds as time progresses.
The parents (video camera operators?) will from time to time notice sounds that sound like sounds they understand and respond very positively to these sounds.
OH MY!!!!! I just heard the baby say XX OR XX OR XX OR XX (all references to daddy).
All these will be thought to be something profound concerning the babies actions.
But not due to the baby saying them, but because the baby's reaction to the parent who understands them and makes a HUGE ordeal of them.
My daughter had 3 such moments. The first time she said the baby sounds for daddy each of the 3 languages my wife and I speak.
We noticed and more importantly, the baby (our daughter) noticed we noticed.
Babies make sounds all the time (some say of all languages), but parents largely define the importance of those sounds for the babies. The babies merely respond because they like the attention, especially positive, of parents who's faces they see all the time.
I cant help but think this will teach these researchers more about how babies learn to accept new faces or events or actions as normal rather than how they learn languages.
My major is in Computational Linguistics. This sounds like a good idea as far a research goes, but the sad fact is that this will not be enough. We already know a LOT about the developmental stages in which children begin to acquire language and the relationships between the mental dictionary lookup and the rule applying mechanisms that compete with one another to produce the fastest possible production of intelligible sentences. What we don't understand is how it happens. This study will not let us know that.
What would be better is to develop algorithms that try and mimic the learning process we already have observed in native language acquisition and then continue to refine our algorithms until we have perfected that process. We will only know we have it right when you can take those same algorithms, put them to use by exposing it to a different language and have it still learn it right.
Let's play video games with mailmanZERO
It worked out well for Ender
when my own child was born. Back then I was working in artificial intelligence (for a commercial application, and I'm no MIT graduate) and I spend the first couple years taking meticulous notes, video, audio recordings and similar. I also worked with a few other children but not as deeply.
What I found is that the sample size was way too small. Almost every child has vastly different development patterns and to see the big picture you need a bigger sample than one kid. We're talking about a huge effort to collect that much data on many children but I think that is what will be required to even begin to understand how it works.
The ratio of people to cake is too big
This is really kind of funny but the vast majority of people teach their children how to speak yet we don't know how they they teach their children how to speak?
Just like it is easy to write a program that can calculate sin but really hard to write one that can follow verbal directions as well as a a four year old?
In other words it is easy to teach a machine what is taught in school.
It is very hard to teach a machine what is taught by parents.
See my blog http://ilovecookes.blogspot.com/ for light hearted technical information.
I hope the kid's first words are something to be proud of.
I once saw a Mother eating some take-out fast food with her gurgling offspring. The kid was very vocal but couldn't say anything more than "goo" and "ga ga." The mother was doing the traditional "say Mommy, say Mommmmeeeee" thing when the kid pointed at the logo on the paper cup and said, very clearly, "McDonalds."
The mother did not look pleased.
Life is like a web application. Sometime you need cookies just to get by.
The point is that, though the infant may not be able to "say" anything in its defense, the kid or adult that eventually emerges from said infant may feel weird about its early childhood having been exposed to the world. A society's supposed to take care of those who can't take care of themselves, not take advantage of them.
Think of the children!
(Someone had to say it...)
--GrouchoMarx
Card-carrying member of the EFF, FSF, and ACLU. Are you?
Ha! Just imagine what an algorithm would say when it fills its nappy: "Core dump - segfault at location @r$e."
bang goes my karma... again...
First baby thows out an early prototype. eg "Ga-ga". This is praised
however some constructive critism by the clients (parents) is offered - eg "Da-da". Baby then adapts the first prototype and re-demos it for the users and clients. And so on.
By the time version 3 (years) is reached baby is still in the iterative refinement design and development mode. For example: "I eated dinner". The user-clients offer "I ate dinner" as a correction that is a new feature in version 3.5.
The kid or adult that eventually emerges from said infant may feel weird about pretty much any choice the parents make for him/her. Also, "being released to the world" makes it sound like they're showing it on Fox. It's not even clear to me from the article that humans will watch significant chunks of it.
I can see how this argument can be made for a 3 or 5 year-old, since they are starting to have personality and make their own choices. But simply observing infants is pretty much all the same - they sleep, poop and eat.
What's to be embarassed about? "Oh no, the world now knows I was an infant at some point in time and could not control my bowels, I am mortified!"
I'm not really sure how this is 'taking advantage' of the baby, because I don't see how it harms him/her.
there is no need to sign your posts. this isn't usenet. your username is right there above your post. stop it.