TEDWomen 2010
Cynthia Breazeal: The rise of personal robots
Cynthia Breazeal: Uspon osobnih robota
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Kao studentica diplomskog studija, Cynthia Breazeal se pitala zašto koristimo robote na Marsu, ali ne i u našim dnevnim sobama. Ključ je, shvatila je, u treniranju robota da komuniciraju s ljudima. Sada ona mašta i gradi robote da podučavaju, uče i -- igraju se. Pazite na zapanjujuću demo snimku nove interaktivne igre za djecu.
Cynthia Breazeal - Roboticist
At MIT, Cynthia Breazeal and her team are building robots with social intelligence that communicate and learn the same way people do. Full bio
At MIT, Cynthia Breazeal and her team are building robots with social intelligence that communicate and learn the same way people do. Full bio
Double-click the English transcript below to play the video.
00:15
Ever since I was a little girl
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Još otkako sam bila djevojčica
00:18
seeing "Star Wars" for the first time,
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i gledala "Ratove zvijezda" po prvi puta,
00:20
I've been fascinated by this idea
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bila sam očarana idejom
00:22
of personal robots.
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osobnih robota.
00:24
And as a little girl,
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I kao djevojčica,
00:26
I loved the idea of a robot that interacted with us
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voljela sam ideju robota koji komunicira s nama
00:28
much more like a helpful, trusted sidekick --
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više kao drug koji nam pomaže i kojem vjerujemo --
00:31
something that would delight us, enrich our lives
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nešto što bi nas radovalo, obogatilo nam život
00:33
and help us save a galaxy or two.
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i pomoglo nam spasiti galaksiju ili dvije.
00:37
I knew robots like that didn't really exist,
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Znala sam da takvi roboti ne postoje u stvarnosti,
00:40
but I knew I wanted to build them.
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ali sam znala da ih želim izrađivati.
00:42
So 20 years pass --
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Pa prolazi 20 godina --
00:44
I am now a graduate student at MIT
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Sada sam studentica diplomskog studija na MIT-u
00:46
studying artificial intelligence,
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na studiju umjetne inteligencije,
00:48
the year is 1997,
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godina je 1997.,
00:50
and NASA has just landed the first robot on Mars.
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i NASA je upravo spustila prvog robota na Mars.
00:53
But robots are still not in our home, ironically.
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Ali roboti, ironično, još uvijek nisu u našim domovima.
00:56
And I remember thinking about
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I sjećam se da sam razmišljala
00:58
all the reasons why that was the case.
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o svim razlozima zašto je to slučaj.
01:00
But one really struck me.
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Ali jedan me doista pogodio.
01:02
Robotics had really been about interacting with things,
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Robotika se zapravo bavi interakcijom sa stvarima,
01:05
not with people --
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a ne s ljudima --
01:07
certainly not in a social way that would be natural for us
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sigurno ne na društveni način koji bi nama bio prirodan
01:09
and would really help people accept robots
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i koji bi stvarno pomogao ljudima da prihvate robote
01:11
into our daily lives.
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u naše svakodnevne živote.
01:13
For me, that was the white space; that's what robots could not do yet.
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Za mene, to je onaj bijeli prostor, nešto što roboti još ne mogu.
01:16
And so that year, I started to build this robot, Kismet,
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I tako sam te godine počela stvarati tog robota, Kismeta,
01:19
the world's first social robot.
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prvog društvenog robota na svijetu.
01:22
Three years later --
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I tri godine kasnije --
01:24
a lot of programming,
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nakon puno programiranja,
01:26
working with other graduate students in the lab --
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i posla s drugim diplomcima u laboratoriju --
01:28
Kismet was ready to start interacting with people.
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Kismet je bio spreman ostvariti interakciju s ljudima.
01:30
(Video) Scientist: I want to show you something.
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(Video) Znanstvenik: Želim ti nešto pokazati.
01:32
Kismet: (Nonsense)
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Kismet: (Glupost).
01:34
Scientist: This is a watch that my girlfriend gave me.
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Znanstvenik: Ovo je sat koji mi je djevojka poklonila.
01:37
Kismet: (Nonsense)
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Kismet: (Glupost).
01:39
Scientist: Yeah, look, it's got a little blue light in it too.
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Znanstvenik: Da, gledaj, ima i malo plavo svjetlo.
01:41
I almost lost it this week.
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Skoro sam ga izgubio ovoga tjedna.
01:44
Cynthia Breazeal: So Kismet interacted with people
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Cynthia Breazeal: Dakle, Kismet je komunicirao s ljudima
01:47
like kind of a non-verbal child or pre-verbal child,
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poput djeteta koje ne priča ili koje još nije propričalo,
01:50
which I assume was fitting because it was really the first of its kind.
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što je, pretpostavljam, prikladno jer je doista prvi svoje vrste.
01:53
It didn't speak language, but it didn't matter.
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Nije znao jezik, ali to nije važno.
01:55
This little robot was somehow able
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Ovaj mali robot je nekako bio u stanju
01:57
to tap into something deeply social within us --
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dotaknuti nešto duboko društveno u nama.
02:00
and with that, the promise of an entirely new way
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I time, obećati potpuno novi način
02:02
we could interact with robots.
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na koji bismo mogli komunicirati s robotima.
02:04
So over the past several years
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U proteklih nekoliko godina
02:06
I've been continuing to explore this interpersonal dimension of robots,
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nastavila sam istraživati tu interpersonalnu dimenziju robota,
02:08
now at the media lab
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sada u medijskom laboratoriju
02:10
with my own team of incredibly talented students.
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s vlastitim timom nevjerojatno nadarenih studenata.
02:12
And one of my favorite robots is Leonardo.
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Jedan od mojih omiljenih robota je Leonardo.
02:15
We developed Leonardo in collaboration with Stan Winston Studio.
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Razvili smo Leonarda u suradnji sa studiom Stana Winstona.
02:18
And so I want to show you a special moment for me of Leo.
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I želim vam pokazati za mene poseban trenutak s Leom.
02:21
This is Matt Berlin interacting with Leo,
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Ovdje Matt Berlin komunicira s Leom,
02:23
introducing Leo to a new object.
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upoznajući Lea s novim predmetom.
02:25
And because it's new, Leo doesn't really know what to make of it.
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I budući da je nov, Leo zapravo ne zna što da misli o njemu.
02:28
But sort of like us, he can actually learn about it
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Ali pomalo kao i mi, može nekako naučiti nešto o tome
02:30
from watching Matt's reaction.
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promatrajući Mattovu reakciju.
02:33
(Video) Matt Berlin: Hello, Leo.
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(Video) Matt Berlin: Zdravo, Leo.
02:38
Leo, this is Cookie Monster.
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Leo, ovo je Cookie Monster.
02:44
Can you find Cookie Monster?
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Možeš li pronaći Cookie Monstera?
02:52
Leo, Cookie Monster is very bad.
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Leo, Cookie Monster je vrlo loš.
02:56
He's very bad, Leo.
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On je vrlo loš, Leo.
03:00
Cookie Monster is very, very bad.
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Cookie Monster je vrlo, vrlo loš.
03:07
He's a scary monster.
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On je zastrašujuće čudovište.
03:09
He wants to get your cookies.
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Ono želi uzeti tvoje kolačiće.
03:12
(Laughter)
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(Smijeh)
03:14
CB: All right, so Leo and Cookie
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CB: Dobro, dakle Leo i Cookie
03:17
might have gotten off to a little bit of a rough start,
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su možda počeli pomalo neugodno,
03:19
but they get along great now.
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ali sada se odlično slažu.
03:22
So what I've learned
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Ono što sam naučila
03:24
through building these systems
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stvarajući ove sustave
03:26
is that robots are actually
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je da su roboti zapravo
03:28
a really intriguing social technology,
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doista intrigantna društvena tehnologija.
03:30
where it's actually their ability
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Gdje je, u stvari, njihova sposobnost
03:32
to push our social buttons
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da pritisnu tipke naše društvenosti
03:34
and to interact with us like a partner
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i komuniciraju s nama poput partnera
03:36
that is a core part of their functionality.
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onaj jezgreni dio njihove funkcionalnosti.
03:39
And with that shift in thinking, we can now start to imagine
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S tim pomakom u mišljenju, sada možemo početi zamišljati
03:41
new questions, new possibilities for robots
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nova pitanja, nove mogućnosti za robote
03:44
that we might not have thought about otherwise.
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o kojima inače možda ne bismo razmišljali.
03:47
But what do I mean when I say "push our social buttons?"
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No, što mislim kad kažem da „pritišću tipke naše društvenosti?“
03:49
Well, one of the things that we've learned
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Pa, jedna od stvari koju smo naučili
03:51
is that, if we design these robots to communicate with us
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je da, ako stvorimo robote da komuniciraju s nama
03:53
using the same body language,
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rabeći isti govor tijela,
03:55
the same sort of non-verbal cues that people use --
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istu vrstu neverbalnih signala koje koriste ljudi --
03:57
like Nexi, our humanoid robot, is doing here --
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kao što Nexi, naš humanoidni robot čini ovdje --
04:00
what we find is that people respond to robots
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ono što otkrivamo je da ljudi reagiraju na robote
04:02
a lot like they respond to people.
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vrlo slično kao što reagiraju na ljude.
04:04
People use these cues to determine things like how persuasive someone is,
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Ljudi koriste te signale da odrede koliko je netko uvjerljiv,
04:07
how likable, how engaging,
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koliko je simpatičan, koliko zanimljiv,
04:09
how trustworthy.
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koliko mu se može vjerovati.
04:11
It turns out it's the same for robots.
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Ispostavlja se da je isto s robotima.
04:13
It's turning out now
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Pokazuje se sada
04:15
that robots are actually becoming a really interesting new scientific tool
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da roboti doista postaju stvarno zanimljivo novo znanstveno oruđe
04:18
to understand human behavior.
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za razumijevanje ljudskog ponašanja.
04:20
To answer questions like, how is it that, from a brief encounter,
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Za odgovaranje na pitanja poput, kako to da, na temelju kratkog susreta,
04:23
we're able to make an estimate of how trustworthy another person is?
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možemo procijeniti koliko je druga osoba vrijedna našeg povjerenja?
04:26
Mimicry's believed to play a role, but how?
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Vjeruje se da oponašanje igra ulogu, ali kako?
04:29
Is it the mimicking of particular gestures that matters?
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Da li je važno oponašanje određenih pokreta?
04:32
It turns out it's really hard
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Pokazuje se da je stvarno teško
04:34
to learn this or understand this from watching people
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ovo naučiti ili shvatiti promatrajući ljude
04:36
because when we interact we do all of these cues automatically.
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jer kad komuniciramo svi tim signalima upravljamo automatski.
04:39
We can't carefully control them because they're subconscious for us.
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Ne možemo ih pažljivo kontrolirati jer su nam podsvjesni.
04:41
But with the robot, you can.
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Ali s robotom možete.
04:43
And so in this video here --
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Pa u ovom filmu ovdje --
04:45
this is a video taken from David DeSteno's lab at Northeastern University.
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video je snimljen u laboratoriju Davida DeStenoa na sveučilištu Northeastern.
04:48
He's a psychologist we've been collaborating with.
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On je psiholog s kojim surađujemo.
04:50
There's actually a scientist carefully controlling Nexi's cues
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Postoji znanstvenik koji pažljivo kontrolira Nexijeve signale
04:53
to be able to study this question.
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kako bi mogao proučavati ovo pitanje.
04:56
And the bottom line is -- the reason why this works is
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A zaključak je – razlog zašto ovo funcionira --
04:58
because it turns out people just behave like people
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jer se pokazuje da se ljudi ponašaju kao ljudi
05:00
even when interacting with a robot.
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čak i kad komuniciraju s robotom.
05:03
So given that key insight,
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Pa s tim ključnim uvidom,
05:05
we can now start to imagine
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možemo početi zamišljati
05:07
new kinds of applications for robots.
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nove primjene za robote.
05:10
For instance, if robots do respond to our non-verbal cues,
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Na primjer, ako roboti uzvraćaju na naše neverbalne signale,
05:13
maybe they would be a cool, new communication technology.
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možda bi bili sjajna nova komunikacijska tehnologija.
05:17
So imagine this:
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Zamislite ovo:
05:19
What about a robot accessory for your cellphone?
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Što mislite o robotskom dodatku za vaš mobitel?
05:21
You call your friend, she puts her handset in a robot,
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Nazovete prijateljicu, ona stavi mobitel u robota,
05:23
and, bam! You're a MeBot --
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i, bam!, vi ste JaBot --
05:25
you can make eye contact, you can talk with your friends,
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možete ostvariti kontakt pogledom, pričati s prijateljima,
05:28
you can move around, you can gesture --
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možete se kretati uokolo, gestikulirati --
05:30
maybe the next best thing to really being there, or is it?
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možda sljedeća najbolja stvar nakon stvarne nazočnosti ondje, je li?
05:33
To explore this question,
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Da bismo ovo ispitali
05:35
my student, Siggy Adalgeirsson, did a study
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moj student, Siggy Adalgeirsson, napravio je studiju
05:38
where we brought human participants, people, into our lab
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u kojoj smo doveli ljudske sudionike, ljude, u naš laboratorij
05:41
to do a collaborative task
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da izvrše zadatak koji zahtijeva suradnju
05:43
with a remote collaborator.
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sa suradnikom na daljinu.
05:45
The task involved things
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Zadatak je uključivao stvari
05:47
like looking at a set of objects on the table,
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poput gledanja skupa predmeta na stolu,
05:49
discussing them in terms of their importance and relevance to performing a certain task --
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raspravljanja o njima u smislu njihove važnosti za obavljanje određenog zadatka --
05:52
this ended up being a survival task --
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što je završilo kao zadatak preživljavanja --
05:54
and then rating them in terms
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i zatim rangiranja predmeta prema tome
05:56
of how valuable and important they thought they were.
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koliko su ih smatrali vrijednima ili važnima.
05:58
The remote collaborator was an experimenter from our group
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Udaljeni suradnik je bio eksperimentator iz naše skupine
06:01
who used one of three different technologies
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pri čemu su koristili jednu od tri različite tehnologije
06:03
to interact with the participants.
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za interakciju sa sudionicima.
06:05
The first was just the screen.
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Prva je bila običan ekran.
06:07
This is just like video conferencing today.
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To je poput današnje video konferencije.
06:10
The next was to add mobility -- so, have the screen on a mobile base.
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Sljedeća je bila s dodanom pokretljivošću, pa smo ekran stavili na pokretnu osnovu.
06:13
This is like, if you're familiar with any of the telepresence robots today --
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To je poput, ako ste upoznati s nekim oblikom današnjih telenazočnih robota --
06:16
this is mirroring that situation.
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ovo oponaša tu situaciju.
06:19
And then the fully expressive MeBot.
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I na koncu, potpuno izažajan JaBot.
06:21
So after the interaction,
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Nakon interakcije,
06:23
we asked people to rate their quality of interaction
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tražili smo od ljudi da ocijene kvalitetu interakcije
06:26
with the technology, with a remote collaborator
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s tehnologijom, sa suradnikom na daljinu,
06:28
through this technology, in a number of different ways.
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na brojne razne načine.
06:31
We looked at psychological involvement --
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Promatrali smo psihološki moment --
06:33
how much empathy did you feel for the other person?
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koliko empatije ste osjetili za drugoga?
06:35
We looked at overall engagement.
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Promatrali smo sveukupni angažman.
06:37
We looked at their desire to cooperate.
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Promatrali smo njihovu želju za suradnjom.
06:39
And this is what we see when they use just the screen.
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Evo što vidimo kada koriste samo ekran.
06:42
It turns out, when you add mobility -- the ability to roll around the table --
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Ispada da kad dodate pokretljivost – mogućnost okretanja na stolu --
06:45
you get a little more of a boost.
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dobijete malo više poticaja.
06:47
And you get even more of a boost when you add the full expression.
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A dobijete još više poticaja kada dodate punu izražajnost.
06:50
So it seems like this physical, social embodiment
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Pa se čini da ovo fizičko društveno utjelovljenje
06:52
actually really makes a difference.
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stvarno čini razliku.
06:54
Now let's try to put this into a little bit of context.
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Pokušajmo to sada malo staviti u kontekst.
06:57
Today we know that families are living further and further apart,
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Danas znamo da članovi obitelji žive sve udaljenije jedni od drugih,
07:00
and that definitely takes a toll on family relationships
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i da to definitivno uzima danak u obiteljskim odnosima
07:02
and family bonds over distance.
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i obiteljskim vezama na daljinu.
07:04
For me, I have three young boys,
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Što se mene tiče, imam tri dječaka,
07:06
and I want them to have a really good relationship
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i želim da imaju stvarno dobar odnos
07:08
with their grandparents.
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sa svojim djedom i bakom.
07:10
But my parents live thousands of miles away,
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Ali moji roditelji žive tisućama kilometara daleko,
07:12
so they just don't get to see each other that often.
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pa se oni jednostavno ne vide baš često.
07:14
We try Skype, we try phone calls,
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Probamo pomoću Skypea, probamo telefonom,
07:16
but my boys are little -- they don't really want to talk;
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ali dečki su maleni – zapravo ne žele pričati,
07:18
they want to play.
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žele se igrati.
07:20
So I love the idea of thinking about robots
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Oni vole ideju gledanja na robote
07:22
as a new kind of distance-play technology.
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kao na novu vrstu tehnologije za igranje na daljinu.
07:25
I imagine a time not too far from now --
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Pa si ja zamišljam vrijeme ne tako daleko od danas --
07:28
my mom can go to her computer,
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kada moja mati može otići do svog računala,
07:30
open up a browser and jack into a little robot.
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otvoriti preglednik i uključiti se u malog robota.
07:32
And as grandma-bot,
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I kao baka-bot,
07:35
she can now play, really play,
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može se igrati, zaista igrati,
07:37
with my sons, with her grandsons,
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s mojim sinovima, svojim unucima,
07:39
in the real world with his real toys.
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u stvarnom svijetu s njegovim pravim igračkama.
07:42
I could imagine grandmothers being able to do social-plays
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Mogu zamisliti bake kako igraju društvene igre
07:44
with their granddaughters, with their friends,
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sa svojim unukama, prijateljicama,
07:46
and to be able to share all kinds of other activities around the house,
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kako mogu podijeliti sve ostale aktivnosti po kući,
07:48
like sharing a bedtime story.
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kao što razmjenjuju priče za laku noć.
07:50
And through this technology,
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Pomoću ove tehnologije,
07:52
being able to be an active participant
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moći će biti aktivni sudionici
07:54
in their grandchildren's lives
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u životima svoje unučadi
07:56
in a way that's not possible today.
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na način koji danas nije moguć.
07:58
Let's think about some other domains,
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Razmislimo i o nekim drugim područjima,
08:00
like maybe health.
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poput zdravlja, možda.
08:02
So in the United States today,
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U Sjedinjenim Državama danas je,
08:04
over 65 percent of people are either overweight or obese,
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preko 65 posto ljudi pretilo ili gojazno,
08:07
and now it's a big problem with our children as well.
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a sada je to velik problem i s našom djecom.
08:09
And we know that as you get older in life,
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A znamo da, kako ste stariji u životu,
08:11
if you're obese when you're younger, that can lead to chronic diseases
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ako ste gojazni kad ste mladi, to može voditi u kronične bolesti
08:14
that not only reduce your quality of life,
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koje ne samo da smanjuju kvalitetu života,
08:16
but are a tremendous economic burden on our health care system.
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već su i strahovit ekonomski teret za naš zdravstveni sustav.
08:19
But if robots can be engaging,
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Ali ako roboti mogu zainteresirati,
08:21
if we like to cooperate with robots,
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ako volimo surađivati s robotima,
08:23
if robots are persuasive,
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ako su roboti uvjerljivi,
08:25
maybe a robot can help you
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možda vam robot može pomoći
08:27
maintain a diet and exercise program,
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da poštujete program dijete i vježbanja,
08:29
maybe they can help you manage your weight.
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možda vam mogu pomoći da kontrolirate svoju težinu.
08:32
Sort of like a digital Jiminy --
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Nešto kao digitalna Jiminy --
08:34
as in the well-known fairy tale --
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dobro poznata bajka --
08:36
a kind of friendly, supportive presence that's always there
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svojevrsna prijateljska nazočnost koja pruža podršku i uvijek je tu
08:38
to be able to help you make the right decision
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da bi vam pomogla da donesete pravu odluku
08:40
in the right way at the right time
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na pravi način, u pravo vrijeme,
08:42
to help you form healthy habits.
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da vam pomogne stvoriti zdrave navike.
08:44
So we actually explored this idea in our lab.
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Mi smo zapravo ispitali ovu ideju u našem laboratoriju.
08:46
This is a robot, Autom.
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Ovo je robot, Autom.
08:48
Cory Kidd developed this robot for his doctoral work.
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Cory Kidd je razvio ovog robota za svoj doktorski rad.
08:51
And it was designed to be a robot diet-and-exercise coach.
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Oblikovan je da bude robot trener za ishranu i vježbu.
08:54
It had a couple of simple non-verbal skills it could do.
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Imao je nekoliko jednostavnih neverbalnih vještina.
08:56
It could make eye contact with you.
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Mogao je ostvariti kontakt pogledom s vama.
08:58
It could share information looking down at a screen.
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Mogao je dijeliti informacije gledajući dolje u ekran.
09:00
You'd use a screen interface to enter information,
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Informacije unosite pomoću ekranskog sučelja,
09:02
like how many calories you ate that day,
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kao, koliko kalorija ste pojeli toga dana,
09:04
how much exercise you got.
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koliko ste vježbali.
09:06
And then it could help track that for you.
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A zatim bi vam robot pomogao pratiti te informacije.
09:08
And the robot spoke with a synthetic voice
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Robot je govorio sintetičkim glasom
09:10
to engage you in a coaching dialogue
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kako bi vas uključio u trenerski dijalog
09:12
modeled after trainers
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modeliran prema trenerima
09:14
and patients and so forth.
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i pacijentima i slično.
09:16
And it would build a working alliance with you
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On bi uspostavio radno savezništvo s vama
09:18
through that dialogue.
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kroz taj dijalog.
09:20
It could help you set goals and track your progress,
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Mogao vam je pomoći postaviti ciljeve i pratiti napredak,
09:22
and it would help motivate you.
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i pomagao vam je u motivaciji.
09:24
So an interesting question is,
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Zanimljivo pitanje je, stoga,
09:26
does the social embodiment really matter? Does it matter that it's a robot?
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da li je društveno utjelovljenje doista bitno? Je li bitno što je robot?
09:29
Is it really just the quality of advice and information that matters?
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Da li je stvarno važna samo kvaliteta savjeta i informacija?
09:32
To explore that question,
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Da bismo odgovorili na to pitanje,
09:34
we did a study in the Boston area
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napravili smo studiju na području Bostona
09:36
where we put one of three interventions in people's homes
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u kojoj smo stavili jednu od tri intervencije ljudima u kuću
09:39
for a period of several weeks.
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na razdoblje od nekoliko tjedana.
09:41
One case was the robot you saw there, Autom.
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Jedan slučaj je bio robot koji ste ovdje vidjeli, Autom.
09:44
Another was a computer that ran the same touch-screen interface,
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Druga intervencija je bila računalo koje je imalo isti ekran osjetljiv na dodir,
09:47
ran exactly the same dialogues.
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i vrtjelo potpuno iste dijaloge.
09:49
The quality of advice was identical.
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Kvaliteta savjeta je bila ista.
09:51
And the third was just a pen and paper log,
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A treća je bila samo olovka i papir za vođenje bilješki,
09:53
because that's the standard intervention you typically get
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jer je to standardna intervencija koju tipično dobijete
09:55
when you start a diet-and-exercise program.
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kada započnete program dijete i vježbe.
09:58
So one of the things we really wanted to look at
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Jedna od stvari koju smo stvarno htjeli promotriti
10:01
was not how much weight people lost,
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nije bila koliko su ljudi izgubili na težini,
10:04
but really how long they interacted with the robot.
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već zapravo koliko su dugo komunicirali s robotom.
10:07
Because the challenge is not losing weight, it's actually keeping it off.
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Jer nije problem skinuti kile, problem je ne vratiti se na staro.
10:10
And the longer you could interact with one of these interventions,
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I što duže možete komunicirati s jednom od ovih intervencija,
10:13
well that's indicative, potentially, of longer-term success.
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tim je indikativnije, potencijalno, da ćete postići dugoročniji uspjeh.
10:16
So the first thing I want to look at is how long,
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Prvo što želim pogledati je koliko dugo,
10:18
how long did people interact with these systems.
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koliko su dugo ljudi bili u interakciji s tim sustavima.
10:20
It turns out that people interacted with the robot
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Pokazalo se da su ljudi komunicirali s robotom
10:22
significantly more,
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značajno više,
10:24
even though the quality of the advice was identical to the computer.
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premda je kvaliteta savjeta bila identična onoj na računalu.
10:28
When it asked people to rate it on terms of the quality of the working alliance,
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Kad ih je pitao da ga ocijene u smislu kvalitete radnog savezništva,
10:31
people rated the robot higher
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ljudi su robota ocijenili bolje
10:33
and they trusted the robot more.
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i robotu su vjerovali više.
10:35
(Laughter)
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(Smijeh)
10:37
And when you look at emotional engagement,
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A kad pogledate emocionalni angažman,
10:39
it was completely different.
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sve je bilo različito.
10:41
People would name the robots.
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Ljudi bi robotima dali imena.
10:43
They would dress the robots.
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Odijevali su ih.
10:45
(Laughter)
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(Smijeh)
10:47
And even when we would come up to pick up the robots at the end of the study,
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I čak kad bismo došli pokupiti robote pri kraju studije,
10:50
they would come out to the car and say good-bye to the robots.
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izišli bi do automobila i pozdravili se s robotom.
10:52
They didn't do this with a computer.
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Nisu to činili s računalom.
10:54
The last thing I want to talk about today
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Posljednje o čemu želim danas pričati
10:56
is the future of children's media.
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je budućnost dječjih medija.
10:58
We know that kids spend a lot of time behind screens today,
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Znamo da djeca danas provode puno vremena za ekranima,
11:01
whether it's television or computer games or whatnot.
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bilo da je riječ o televiziji ili računalnim igrama ili drugome.
11:04
My sons, they love the screen. They love the screen.
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Moji sinovi, oni vole ekran. Vole ekran.
11:07
But I want them to play; as a mom, I want them to play,
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Ali ja želim da se oni igraju; kao majka želim da se igraju,
11:10
like, real-world play.
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igraju u stvarnom svijetu.
11:12
And so I have a new project in my group I wanted to present to you today
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Pa u svojoj skupini pokrećem novi projekt koji vam želim danas predstaviti
11:15
called Playtime Computing
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koji se zove Računala u igri
11:17
that's really trying to think about how we can take
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koji zapravo pokušava razmišljati
11:19
what's so engaging about digital media
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o tome što je tako zanimljivo kod digitalnih medija
11:21
and literally bring it off the screen
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i doslovno to skinuti s ekrana,
11:23
into the real world of the child,
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u stvarni svijet djeteta,
11:25
where it can take on many of the properties of real-world play.
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gdje može poprimiti mnoga obilježja igranja u stvarnom svijetu.
11:29
So here's the first exploration of this idea,
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Evo prvog ispitivanja ove ideje,
11:33
where characters can be physical or virtual,
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u kojem likovi mogu biti fizički ili virtualni,
11:36
and where the digital content
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i gdje digitalni sadržaj
11:38
can literally come off the screen
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doslovno može sići s ekrana,
11:40
into the world and back.
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u svijet i natrag.
11:42
I like to think of this
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Volim o ovome razmišljati
11:44
as the Atari Pong
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kao o Atari Pongu
11:46
of this blended-reality play.
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ove stopljene stvarnosne igre.
11:48
But we can push this idea further.
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Ali možemo ovu ideju pogurati i dalje.
11:50
What if --
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Što ako --
11:52
(Game) Nathan: Here it comes. Yay!
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(Igra) Nathan: Stiže. Jee!
11:55
CB: -- the character itself could come into your world?
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CB: -- sam lik može doći u vaš svijet?
11:58
It turns out that kids love it
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Pokazuje se da djeca obožavaju
12:00
when the character becomes real and enters into their world.
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kad lik postaje stvaran i ulazi u njihov svijet.
12:03
And when it's in their world,
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A kad je u njihovom svijetu,
12:05
they can relate to it and play with it in a way
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mogu uspostaviti odnos i igrati se s njime na način
12:07
that's fundamentally different from how they play with it on the screen.
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koji je fundamentalno drukčiji od igranja na ekranu.
12:09
Another important idea is this notion
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Druga važna ideja je shvaćanje
12:11
of persistence of character across realities.
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opstojnosti lika u različitim realitetima.
12:14
So changes that children make in the real world
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Pa se promjene koje djeca naprave u stvarnom svijetu
12:16
need to translate to the virtual world.
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moraju prenijeti u virtualni svijet.
12:18
So here, Nathan has changed the letter A to the number 2.
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Ovdje je Nathan promijenio slovo A u broj 2.
12:21
You can imagine maybe these symbols
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Možete zamisliti da ovi simboli
12:23
give the characters special powers when it goes into the virtual world.
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daju likovima specijalne moći kad odu u virtualni svijet.
12:26
So they are now sending the character back into that world.
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Pa sada šalju lika natrag u taj svijet.
12:29
And now it's got number power.
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I on sada ima brojčanu moć.
12:32
And then finally, what I've been trying to do here
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I naposlijetku, ono što sam pokušala ovdje učiniti je
12:34
is create a really immersive experience for kids,
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stvoriti iskustvo u koje će djeca stvarno uroniti,
12:37
where they really feel like they are part of that story,
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u kojem se doista osjećaju kao da su dio priče,
12:40
a part of that experience.
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dio tog iskustva.
12:42
And I really want to spark their imaginations
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I zaista želim zapaliti njihovu maštu
12:44
the way mine was sparked as a little girl watching "Star Wars."
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onako kako se moja zapalila kad sam kao djevojčica gledala „Ratove zvijezda“.
12:47
But I want to do more than that.
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Ali želim i više od toga.
12:49
I actually want them to create those experiences.
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Zapravo želim da oni stvore svoja iskustva.
12:52
I want them to be able to literally build their imagination
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Želim da budu u stanju doslovno ugraditi svoju maštu
12:54
into these experiences and make them their own.
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u ta iskustva i učiniti ih svojima.
12:56
So we've been exploring a lot of ideas
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Dakle, istraživali smo mnoge ideje
12:58
in telepresence and mixed reality
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telenazočnosti i mješovite stvarnosti
13:00
to literally allow kids to project their ideas into this space
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kako bismo doslovno omogućili djeci da projiciraju svoje ideje u prostor
13:03
where other kids can interact with them
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gdje druga djeca mogu komunicirati s njima
13:05
and build upon them.
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i graditi na tome.
13:07
I really want to come up with new ways of children's media
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Zaista želim iznaći nove načine dječjih medija
13:10
that foster creativity and learning and innovation.
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koji hrane kreativnost i učenje i inovacije.
13:13
I think that's very, very important.
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Mislim da je to vrlo, vrlo važno.
13:16
So this is a new project.
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Pa je ovo novi projekt.
13:18
We've invited a lot of kids into this space,
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Pozvali smo mnogo djece u ovaj prostor,
13:20
and they think it's pretty cool.
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i oni misle da je prilično cool.
13:23
But I can tell you, the thing that they love the most
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Ali mogu vam reći, ono što najviše vole
13:25
is the robot.
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je robot.
13:27
What they care about is the robot.
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Ono do čega im je stalo je robot.
13:30
Robots touch something deeply human within us.
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Roboti dotiču nešto duboko ljudsko u nama.
13:33
And so whether they're helping us
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I tako, bez obzira da li nam pomažu
13:35
to become creative and innovative,
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da postanemo kreativni i inovativni,
13:37
or whether they're helping us
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ili nam pomažu
13:39
to feel more deeply connected despite distance,
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da se osjećamo bolje povezani usprkos udaljenosti,
13:41
or whether they are our trusted sidekick
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ili su naš drug kojem vjerujemo
13:43
who's helping us attain our personal goals
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i koji nam pomaže ostvariti osobne ciljeve
13:45
in becoming our highest and best selves,
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kako bismo postali najbolji što možemo,
13:47
for me, robots are all about people.
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za mene, kod robota su važni ljudi.
13:50
Thank you.
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Hvala vam.
13:52
(Applause)
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(Pljesak)
ABOUT THE SPEAKER
Cynthia Breazeal - RoboticistAt MIT, Cynthia Breazeal and her team are building robots with social intelligence that communicate and learn the same way people do.
Why you should listen
Cynthia Breazeal founded and directs the Personal Robots Group at MIT’s Media Lab. Her research focuses on developing the principles and technologies for building personal robots that are socially intelligent—that interact and communicate with people in human-centric terms, work with humans as peers, and learn from people as an apprentice.
She has developed some of the world’s most famous robotic creatures, ranging from small hexapod robots to highly expressive humanoids, including the social robot Kismet and the expressive robot Leonardo. Her recent work investigates the impact of social robots on helping people of all ages to achieve personal goals that contribute to quality of life, in domains such as physical performance, learning and education, health, and family communication and play over distance.
Cynthia Breazeal | Speaker | TED.com