The birth of a word - Deb Roy
[Music]
[Music]
imagine<00:00:16.860> if<00:00:17.010> you<00:00:17.189> could<00:00:17.490> record<00:00:18.119> your<00:00:18.390> life
imagine if you could record your life
imagine if you could record your life
everything<00:00:19.710> you<00:00:19.800> said<00:00:20.270> everything<00:00:21.270> you<00:00:21.300> did
everything you said everything you did
everything you said everything you did
available<00:00:22.830> in<00:00:22.919> a<00:00:23.009> perfect<00:00:23.490> memory<00:00:23.640> store<00:00:24.090> at
available in a perfect memory store at
available in a perfect memory store at
your<00:00:24.570> fingertips<00:00:25.050> so<00:00:25.800> you<00:00:25.860> could<00:00:26.009> go<00:00:26.160> back<00:00:26.430> and
your fingertips so you could go back and
your fingertips so you could go back and
find<00:00:27.539> memorable<00:00:28.349> moments<00:00:28.680> and<00:00:28.800> relive<00:00:29.130> them
find memorable moments and relive them
find memorable moments and relive them
or<00:00:30.470> sift<00:00:31.470> through<00:00:31.740> traces<00:00:32.430> of<00:00:32.550> time<00:00:32.790> and
or sift through traces of time and
or sift through traces of time and
discover<00:00:33.540> patterns<00:00:34.110> in<00:00:34.350> your<00:00:34.440> own<00:00:34.620> life<00:00:34.860> that
discover patterns in your own life that
discover patterns in your own life that
previously<00:00:36.330> had<00:00:36.480> gone<00:00:36.660> undiscovered<00:00:37.489> well
previously had gone undiscovered well
previously had gone undiscovered well
that's<00:00:38.640> exactly<00:00:38.790> the<00:00:39.480> journey<00:00:40.280> that<00:00:41.280> my
that's exactly the journey that my
that's exactly the journey that my
family<00:00:42.269> began<00:00:42.540> five<00:00:43.019> and<00:00:43.229> a<00:00:43.260> half<00:00:43.290> years<00:00:43.650> ago
family began five and a half years ago
family began five and a half years ago
this<00:00:44.580> is<00:00:44.729> my<00:00:44.909> wife<00:00:45.299> and<00:00:45.690> collaborator<00:00:46.470> rupal
this is my wife and collaborator rupal
this is my wife and collaborator rupal
and<00:00:47.190> on<00:00:47.879> this<00:00:48.150> day<00:00:48.390> at<00:00:48.570> this<00:00:48.750> moment<00:00:48.989> we<00:00:49.260> walked
and on this day at this moment we walked
and on this day at this moment we walked
into<00:00:49.650> the<00:00:49.739> house<00:00:49.920> with<00:00:50.790> their<00:00:50.940> first<00:00:51.119> child
into the house with their first child
into the house with their first child
our<00:00:51.690> beautiful<00:00:52.559> baby<00:00:53.010> boy<00:00:53.309> and<00:00:53.720> we<00:00:54.720> walked
our beautiful baby boy and we walked
our beautiful baby boy and we walked
into<00:00:55.290> a<00:00:55.739> house<00:00:56.640> with<00:00:56.850> a<00:00:56.940> very<00:00:57.150> special<00:00:57.809> home
into a house with a very special home
into a house with a very special home
video<00:00:58.830> recording<00:00:59.699> system<00:01:09.619> this<00:01:10.619> moment<00:01:11.159> and
video recording system this moment and
video recording system this moment and
thousands<00:01:12.390> of<00:01:12.450> other<00:01:12.659> moments<00:01:13.500> special<00:01:13.979> for
thousands of other moments special for
thousands of other moments special for
us<00:01:14.250> were<00:01:15.000> captured<00:01:15.570> in<00:01:15.780> our<00:01:15.990> home<00:01:16.170> because<00:01:16.679> in
us were captured in our home because in
us were captured in our home because in
every<00:01:17.130> room<00:01:17.369> in<00:01:17.609> the<00:01:17.820> house<00:01:17.969> if<00:01:18.420> you<00:01:18.570> looked<00:01:18.780> up
every room in the house if you looked up
every room in the house if you looked up
you'd<00:01:19.619> see<00:01:19.770> a<00:01:19.799> camera<00:01:20.100> and<00:01:20.429> a<00:01:20.640> microphone<00:01:20.759> and
you'd see a camera and a microphone and
you'd see a camera and a microphone and
if<00:01:21.840> you<00:01:21.960> look<00:01:22.109> down<00:01:22.320> you<00:01:23.219> get<00:01:23.490> this<00:01:23.820> bird's-eye
if you look down you get this bird's-eye
if you look down you get this bird's-eye
view<00:01:24.390> of<00:01:24.869> the<00:01:25.200> room<00:01:25.560> here's<00:01:26.009> our<00:01:26.219> living<00:01:26.490> room
view of the room here's our living room
view of the room here's our living room
the<00:01:29.310> baby<00:01:29.490> bedroom<00:01:30.859> kitchen<00:01:31.859> dining<00:01:32.700> room<00:01:32.899> and
the baby bedroom kitchen dining room and
the baby bedroom kitchen dining room and
the<00:01:33.960> rest<00:01:34.140> of<00:01:34.259> the<00:01:34.320> house<00:01:34.469> and<00:01:35.240> all<00:01:36.240> of<00:01:36.539> these
the rest of the house and all of these
the rest of the house and all of these
fed<00:01:37.020> into<00:01:37.380> a<00:01:37.619> disc<00:01:37.950> array<00:01:38.249> that<00:01:39.119> was<00:01:39.240> designed
fed into a disc array that was designed
fed into a disc array that was designed
for<00:01:40.229> a<00:01:40.289> continuous<00:01:40.740> capture<00:01:41.159> so<00:01:41.429> here<00:01:41.700> we<00:01:41.850> are
for a continuous capture so here we are
for a continuous capture so here we are
flying<00:01:42.539> through<00:01:42.990> a<00:01:43.020> day<00:01:43.319> in<00:01:43.649> our<00:01:44.130> home<00:01:44.520> as<00:01:44.759> we
flying through a day in our home as we
flying through a day in our home as we
move<00:01:45.659> from<00:01:46.189> sunlit<00:01:47.189> morning<00:01:47.729> through
move from sunlit morning through
move from sunlit morning through
incandescent<00:01:48.569> evening<00:01:49.200> and<00:01:49.670> finally<00:01:50.670> lights
incandescent evening and finally lights
incandescent evening and finally lights
out<00:01:51.439> for<00:01:52.439> the<00:01:52.560> day<00:01:52.939> over<00:01:53.939> the<00:01:54.149> course<00:01:54.420> of<00:01:54.689> three
out for the day over the course of three
out for the day over the course of three
years<00:01:55.639> we've<00:01:56.639> recorded<00:01:56.969> eight<00:01:57.299> to<00:01:57.450> ten<00:01:57.630> hours
years we've recorded eight to ten hours
years we've recorded eight to ten hours
a<00:01:57.929> day<00:01:58.639> amassing<00:01:59.639> roughly<00:02:00.299> a<00:02:00.329> quarter<00:02:00.569> million
a day amassing roughly a quarter million
a day amassing roughly a quarter million
hours<00:02:01.109> of<00:02:01.789> multitrack<00:02:02.789> audio<00:02:02.999> and<00:02:03.359> video<00:02:03.600> so
hours of multitrack audio and video so
hours of multitrack audio and video so
you're<00:02:04.530> looking<00:02:04.679> at<00:02:04.950> a<00:02:05.009> piece<00:02:05.340> of<00:02:05.369> what<00:02:06.240> is<00:02:06.389> by
you're looking at a piece of what is by
you're looking at a piece of what is by
far<00:02:06.869> the<00:02:06.899> largest<00:02:07.229> home<00:02:07.799> video<00:02:08.069> collection
far the largest home video collection
far the largest home video collection
ever<00:02:08.729> made
ever made
ever made
and<00:02:12.440> what<00:02:13.440> this<00:02:13.650> data<00:02:13.890> represents<00:02:14.130> for<00:02:15.090> our
and what this data represents for our
and what this data represents for our
family<00:02:15.840> at<00:02:15.930> a<00:02:15.990> personal<00:02:16.380> level<00:02:16.530> the<00:02:16.860> the
family at a personal level the the
family at a personal level the the
impact<00:02:18.270> has<00:02:18.570> already<00:02:18.990> been<00:02:19.500> immense<00:02:19.920> and
impact has already been immense and
impact has already been immense and
we're<00:02:20.340> still<00:02:20.550> learning<00:02:20.760> its<00:02:21.510> value<00:02:22.070> countless
we're still learning its value countless
we're still learning its value countless
moments<00:02:23.310> of<00:02:23.640> unsolicited<00:02:24.710> natural<00:02:25.710> moments
moments of unsolicited natural moments
moments of unsolicited natural moments
not<00:02:26.460> posed<00:02:26.850> moments<00:02:27.450> are<00:02:27.600> captured<00:02:27.930> there<00:02:28.590> and
not posed moments are captured there and
not posed moments are captured there and
we're<00:02:29.010> starting<00:02:29.340> to<00:02:29.520> learn<00:02:29.700> how<00:02:29.760> to<00:02:29.910> discover
we're starting to learn how to discover
we're starting to learn how to discover
them<00:02:30.600> and<00:02:30.780> find<00:02:31.380> them<00:02:32.060> but<00:02:33.060> there's<00:02:33.240> also<00:02:33.420> a
them and find them but there's also a
them and find them but there's also a
scientific<00:02:34.170> reason<00:02:34.500> that<00:02:34.800> drove<00:02:35.070> this
scientific reason that drove this
scientific reason that drove this
project<00:02:35.970> which<00:02:36.210> was<00:02:36.420> to<00:02:37.200> use<00:02:37.440> this<00:02:37.680> kind<00:02:37.980> of
project which was to use this kind of
project which was to use this kind of
natural<00:02:38.430> longitudinal<00:02:39.360> data<00:02:39.510> to<00:02:40.170> understand
natural longitudinal data to understand
natural longitudinal data to understand
the<00:02:41.160> process<00:02:41.610> of<00:02:41.970> how<00:02:42.240> a<00:02:42.270> child<00:02:42.660> learns
the process of how a child learns
the process of how a child learns
language<00:02:43.500> that<00:02:43.920> child<00:02:44.160> being<00:02:44.400> my<00:02:44.610> son<00:02:44.670> and<00:02:45.120> so
language that child being my son and so
language that child being my son and so
with<00:02:46.560> many<00:02:46.950> privacy<00:02:48.050> provisions<00:02:49.050> put<00:02:49.200> in
with many privacy provisions put in
with many privacy provisions put in
place<00:02:49.650> to<00:02:49.920> protect<00:02:50.100> everyone<00:02:51.000> who's<00:02:51.180> recorded
place to protect everyone who's recorded
place to protect everyone who's recorded
in<00:02:51.900> the<00:02:52.080> data<00:02:52.290> we<00:02:53.070> made<00:02:53.400> elements<00:02:54.180> of<00:02:54.240> the<00:02:54.330> data
in the data we made elements of the data
in the data we made elements of the data
available<00:02:55.080> to<00:02:55.710> my<00:02:56.310> trusted<00:02:56.760> research<00:02:57.060> team<00:02:57.420> at
available to my trusted research team at
available to my trusted research team at
MIT<00:02:57.950> so<00:02:58.950> we<00:02:59.070> could<00:02:59.220> start<00:02:59.460> teasing<00:03:00.180> apart
MIT so we could start teasing apart
MIT so we could start teasing apart
patterns<00:03:01.320> in<00:03:01.560> this<00:03:02.250> massive<00:03:02.670> data<00:03:03.030> set<00:03:03.330> trying
patterns in this massive data set trying
patterns in this massive data set trying
to<00:03:04.350> understand<00:03:04.770> the<00:03:05.670> influence<00:03:05.880> of<00:03:06.120> social
to understand the influence of social
to understand the influence of social
environments<00:03:07.920> on<00:03:08.070> language<00:03:08.430> acquisition<00:03:08.690> so
environments on language acquisition so
environments on language acquisition so
we're<00:03:09.870> looking<00:03:10.140> here<00:03:10.350> at<00:03:10.410> one<00:03:11.010> of<00:03:11.100> the<00:03:11.160> first
we're looking here at one of the first
we're looking here at one of the first
things<00:03:11.640> we<00:03:11.850> started<00:03:12.180> to<00:03:12.330> do<00:03:12.560> this<00:03:13.560> is<00:03:13.709> my<00:03:14.010> wife
things we started to do this is my wife
things we started to do this is my wife
and<00:03:14.490> I<00:03:14.550> cooking<00:03:15.770> breakfast<00:03:16.770> in<00:03:16.890> the<00:03:16.980> kitchen
and I cooking breakfast in the kitchen
and I cooking breakfast in the kitchen
and<00:03:17.730> as<00:03:18.390> we<00:03:18.720> move<00:03:19.020> through<00:03:19.350> space<00:03:19.650> and<00:03:19.860> through
and as we move through space and through
and as we move through space and through
time<00:03:20.280> a<00:03:20.580> very<00:03:21.060> everyday<00:03:21.510> pattern<00:03:22.110> of<00:03:22.260> life<00:03:22.440> in
time a very everyday pattern of life in
time a very everyday pattern of life in
the<00:03:22.740> kitchen<00:03:23.100> in<00:03:23.970> order<00:03:24.480> to<00:03:24.740> convert<00:03:25.850> this
the kitchen in order to convert this
the kitchen in order to convert this
opaque<00:03:27.300> 90<00:03:27.959> thousand<00:03:28.380> hours<00:03:28.590> of<00:03:28.740> video<00:03:29.010> into
opaque 90 thousand hours of video into
opaque 90 thousand hours of video into
something<00:03:29.490> we<00:03:29.610> can<00:03:29.730> start<00:03:29.940> to<00:03:30.060> see<00:03:30.300> we<00:03:30.959> use
something we can start to see we use
something we can start to see we use
motion<00:03:31.590> analysis<00:03:32.130> to<00:03:32.310> pull<00:03:32.490> out<00:03:32.670> as<00:03:32.820> we<00:03:33.480> move
motion analysis to pull out as we move
motion analysis to pull out as we move
through<00:03:33.870> space<00:03:34.110> and<00:03:34.380> through<00:03:34.440> time<00:03:34.740> what<00:03:35.010> we
through space and through time what we
through space and through time what we
call<00:03:35.310> space-time<00:03:36.060> worms<00:03:36.360> and<00:03:36.720> this<00:03:37.650> has
call space-time worms and this has
call space-time worms and this has
become<00:03:38.010> a<00:03:38.550> part<00:03:39.209> of<00:03:39.270> our<00:03:39.450> toolkit<00:03:40.020> for<00:03:40.830> being
become a part of our toolkit for being
become a part of our toolkit for being
able<00:03:41.220> to<00:03:41.400> look<00:03:42.360> and<00:03:42.570> see<00:03:43.380> where<00:03:43.680> the
able to look and see where the
able to look and see where the
activities<00:03:44.220> are<00:03:44.459> in<00:03:44.730> the<00:03:44.880> data<00:03:45.120> and<00:03:45.450> with<00:03:46.260> it
activities are in the data and with it
activities are in the data and with it
trace<00:03:46.950> the<00:03:47.160> patterns<00:03:47.520> of<00:03:47.730> in<00:03:47.910> particular
trace the patterns of in particular
trace the patterns of in particular
where<00:03:48.480> my<00:03:48.600> son<00:03:48.900> moved<00:03:49.800> throughout<00:03:50.190> the<00:03:50.340> home
where my son moved throughout the home
where my son moved throughout the home
so<00:03:51.150> we<00:03:51.300> could<00:03:51.450> focus<00:03:51.690> our<00:03:52.340> transcription
so we could focus our transcription
so we could focus our transcription
efforts<00:03:53.700> all<00:03:53.970> the<00:03:54.480> speech<00:03:54.750> environment
efforts all the speech environment
efforts all the speech environment
around<00:03:55.920> my<00:03:56.370> son<00:03:56.640> all<00:03:56.910> the<00:03:57.180> words<00:03:57.360> that<00:03:57.570> he
around my son all the words that he
around my son all the words that he
heard<00:03:57.990> for<00:03:58.350> myself<00:03:58.740> my<00:03:59.010> wife<00:03:59.040> our<00:03:59.490> nanny<00:03:59.730> and
heard for myself my wife our nanny and
heard for myself my wife our nanny and
over<00:04:00.510> time<00:04:00.720> the<00:04:00.900> words<00:04:01.080> he<00:04:01.380> began<00:04:01.680> to<00:04:01.830> produce
over time the words he began to produce
over time the words he began to produce
so<00:04:03.180> with<00:04:03.360> that<00:04:03.600> technology<00:04:04.350> and<00:04:04.860> that<00:04:05.280> data
so with that technology and that data
so with that technology and that data
and<00:04:05.910> the<00:04:06.239> ability<00:04:06.300> to<00:04:06.690> with<00:04:07.260> machine
and the ability to with machine
and the ability to with machine
assistants<00:04:08.310> transcribe<00:04:08.910> speech<00:04:09.239> we've<00:04:09.510> now
assistants transcribe speech we've now
assistants transcribe speech we've now
transcribed<00:04:10.350> well<00:04:11.040> over<00:04:11.489> seven<00:04:12.300> million
transcribed well over seven million
transcribed well over seven million
words<00:04:12.840> of<00:04:13.140> our<00:04:13.410> home<00:04:13.620> transcripts<00:04:14.610> and<00:04:14.820> with
words of our home transcripts and with
words of our home transcripts and with
that<00:04:15.630> let<00:04:15.810> me<00:04:15.840> take<00:04:16.080> you<00:04:16.230> now<00:04:16.440> for<00:04:17.100> a<00:04:17.160> first
that let me take you now for a first
that let me take you now for a first
tour<00:04:18.180> into<00:04:18.720> the<00:04:18.960> data<00:04:19.169> so<00:04:19.890> you've<00:04:20.250> all<00:04:20.489> I'm
tour into the data so you've all I'm
tour into the data so you've all I'm
sure<00:04:21.090> see
sure see
sure see
time-lapse<00:04:22.370> videos<00:04:22.820> where<00:04:23.690> a<00:04:23.720> flower<00:04:24.199> will
time-lapse videos where a flower will
time-lapse videos where a flower will
blossom<00:04:24.650> as<00:04:25.039> you<00:04:25.340> accelerate<00:04:25.610> time<00:04:26.030> I'd<00:04:26.330> like
blossom as you accelerate time I'd like
blossom as you accelerate time I'd like
you<00:04:26.990> to<00:04:27.139> now<00:04:27.289> experience<00:04:27.919> the<00:04:28.120> blossoming<00:04:29.120> of
you to now experience the blossoming of
you to now experience the blossoming of
a<00:04:29.479> speech<00:04:29.720> form<00:04:30.050> my<00:04:30.680> son<00:04:30.979> soon<00:04:31.340> after<00:04:31.639> his
a speech form my son soon after his
a speech form my son soon after his
first<00:04:31.910> birthday<00:04:32.180> would<00:04:33.080> say<00:04:33.259> Gaga<00:04:33.759> to<00:04:34.759> mean
first birthday would say Gaga to mean
first birthday would say Gaga to mean
water<00:04:35.150> and<00:04:35.800> over<00:04:36.800> the<00:04:37.039> course<00:04:37.310> the<00:04:37.370> next<00:04:37.880> half
water and over the course the next half
water and over the course the next half
year<00:04:38.270> he<00:04:39.139> slowly<00:04:39.470> learned<00:04:39.830> to<00:04:39.979> approximate
year he slowly learned to approximate
year he slowly learned to approximate
the<00:04:40.940> proper<00:04:41.330> adult<00:04:41.600> form<00:04:41.900> water<00:04:42.520> so<00:04:43.520> we're
the proper adult form water so we're
the proper adult form water so we're
going<00:04:43.820> to<00:04:43.970> cruise<00:04:44.270> through<00:04:44.300> half<00:04:44.960> a<00:04:45.139> year<00:04:45.410> in
going to cruise through half a year in
going to cruise through half a year in
about<00:04:46.520> 40<00:04:46.850> seconds
about 40 seconds
about 40 seconds
no<00:04:48.050> video<00:04:48.259> here<00:04:48.680> so<00:04:49.490> you<00:04:49.550> can<00:04:49.759> focus<00:04:50.000> on<00:04:50.360> the
no video here so you can focus on the
no video here so you can focus on the
sound<00:04:51.229> the<00:04:51.530> acoustics<00:04:52.009> of<00:04:52.190> a<00:04:52.820> new<00:04:53.000> kind<00:04:53.270> of
sound the acoustics of a new kind of
sound the acoustics of a new kind of
trajectory
[Music]
so<00:05:51.270> he<00:05:51.390> didn't<00:05:51.630> just<00:05:51.750> learn<00:05:51.930> water<00:05:52.290> over<00:05:52.920> the
so he didn't just learn water over the
so he didn't just learn water over the
course<00:05:53.310> of<00:05:53.610> the<00:05:53.850> 24<00:05:54.360> months<00:05:54.720> the<00:05:54.930> first<00:05:55.500> two
course of the 24 months the first two
course of the 24 months the first two
years<00:05:56.040> that<00:05:56.160> we<00:05:56.400> really<00:05:56.670> focused<00:05:57.090> on<00:05:57.240> this<00:05:57.780> is
years that we really focused on this is
years that we really focused on this is
a<00:05:58.020> map<00:05:58.740> of<00:05:59.010> every<00:05:59.490> word<00:05:59.670> he<00:05:59.880> learned<00:06:00.150> in
a map of every word he learned in
a map of every word he learned in
chronological<00:06:01.260> order<00:06:01.560> and<00:06:01.710> because<00:06:02.310> we<00:06:02.460> have
chronological order and because we have
chronological order and because we have
full<00:06:03.210> transcripts<00:06:03.930> we've<00:06:04.500> identified<00:06:04.680> each
full transcripts we've identified each
full transcripts we've identified each
of<00:06:05.910> the<00:06:06.000> 503<00:06:06.720> words<00:06:06.990> that<00:06:07.230> he<00:06:07.320> learned<00:06:07.530> to
of the 503 words that he learned to
of the 503 words that he learned to
produce<00:06:07.770> by<00:06:08.190> his<00:06:08.370> second<00:06:08.670> birthday<00:06:08.820> he<00:06:09.090> was<00:06:09.180> an
produce by his second birthday he was an
produce by his second birthday he was an
early<00:06:09.360> talker
early talker
early talker
and<00:06:10.280> so<00:06:11.280> we<00:06:11.490> started<00:06:11.760> to<00:06:11.880> analyze<00:06:12.030> why<00:06:12.930> why
and so we started to analyze why why
and so we started to analyze why why
were<00:06:13.920> certain<00:06:14.280> words<00:06:14.460> born<00:06:15.210> before<00:06:15.570> others
were certain words born before others
were certain words born before others
this<00:06:16.560> is<00:06:16.620> one<00:06:16.860> of<00:06:16.950> the<00:06:17.010> first<00:06:17.310> results<00:06:17.760> that
this is one of the first results that
this is one of the first results that
came<00:06:18.390> out<00:06:18.540> of<00:06:18.660> our<00:06:18.780> study<00:06:19.080> a<00:06:19.710> little<00:06:20.220> over<00:06:20.430> a
came out of our study a little over a
came out of our study a little over a
year<00:06:20.700> ago<00:06:20.820> that<00:06:21.150> really<00:06:21.660> surprised<00:06:22.110> us<00:06:22.410> the
year ago that really surprised us the
year ago that really surprised us the
way<00:06:22.950> to<00:06:23.010> interpret<00:06:23.340> this<00:06:23.690> apparently<00:06:24.690> simple
way to interpret this apparently simple
way to interpret this apparently simple
graph<00:06:25.410> is<00:06:25.740> on<00:06:25.890> the<00:06:25.980> vertical<00:06:26.460> is<00:06:26.640> an
graph is on the vertical is an
graph is on the vertical is an
indication<00:06:27.720> of<00:06:27.960> how<00:06:28.110> complex<00:06:28.760> caregiver
indication of how complex caregiver
indication of how complex caregiver
utterances<00:06:30.240> are<00:06:30.420> based<00:06:30.870> on<00:06:31.080> the<00:06:31.200> length<00:06:31.470> of
utterances are based on the length of
utterances are based on the length of
utterances<00:06:32.190> and<00:06:32.400> the<00:06:33.060> vertical<00:06:33.480> axis<00:06:33.930> is<00:06:34.080> time
utterances and the vertical axis is time
utterances and the vertical axis is time
and<00:06:35.360> all<00:06:36.360> of<00:06:36.660> the<00:06:37.080> data<00:06:37.350> we<00:06:37.740> aligned<00:06:38.310> based<00:06:39.030> on
and all of the data we aligned based on
and all of the data we aligned based on
the<00:06:40.020> following<00:06:40.440> idea<00:06:40.920> every<00:06:41.340> time<00:06:41.900> my<00:06:42.900> son
the following idea every time my son
the following idea every time my son
would<00:06:43.350> learn<00:06:43.500> a<00:06:43.530> word<00:06:43.830> we<00:06:44.130> would<00:06:44.280> trace<00:06:44.580> back
would learn a word we would trace back
would learn a word we would trace back
and<00:06:45.120> look<00:06:45.270> at<00:06:45.390> all<00:06:45.600> of<00:06:45.630> the<00:06:45.900> language<00:06:46.290> he<00:06:46.470> heard
and look at all of the language he heard
and look at all of the language he heard
that<00:06:47.280> contain<00:06:47.670> that<00:06:47.880> word<00:06:48.090> and<00:06:48.390> we<00:06:48.960> would<00:06:49.080> plot
that contain that word and we would plot
that contain that word and we would plot
the<00:06:50.370> relative<00:06:50.910> length<00:06:51.240> of<00:06:51.510> the<00:06:51.690> utterances
the relative length of the utterances
the relative length of the utterances
and<00:06:52.380> what<00:06:52.500> we<00:06:52.590> found<00:06:52.830> was<00:06:53.460> this<00:06:53.580> curious
and what we found was this curious
and what we found was this curious
phenomena<00:06:54.630> that<00:06:55.230> caregiver<00:06:55.950> speech<00:06:56.190> would
phenomena that caregiver speech would
phenomena that caregiver speech would
systematically<00:06:56.840> dip<00:06:57.840> to<00:06:58.260> a<00:06:58.290> minimum<00:06:58.830> making
systematically dip to a minimum making
systematically dip to a minimum making
language<00:07:00.090> as<00:07:00.270> simple<00:07:00.660> as<00:07:00.780> possible<00:07:01.020> and<00:07:01.470> then
language as simple as possible and then
language as simple as possible and then
slowly<00:07:02.250> ascend<00:07:03.090> back<00:07:03.240> up<00:07:03.510> in<00:07:03.690> complexity<00:07:04.200> and
slowly ascend back up in complexity and
slowly ascend back up in complexity and
the<00:07:05.100> amazing<00:07:05.520> thing<00:07:05.700> was<00:07:05.730> that<00:07:05.940> the<00:07:06.270> that
the amazing thing was that the that
the amazing thing was that the that
bounce<00:07:07.290> that<00:07:07.620> dip<00:07:07.920> lined<00:07:08.610> up<00:07:08.790> almost
bounce that dip lined up almost
bounce that dip lined up almost
precisely<00:07:09.930> with<00:07:10.350> when<00:07:10.620> each<00:07:11.220> word<00:07:11.580> was<00:07:11.790> born
precisely with when each word was born
precisely with when each word was born
word<00:07:12.630> after<00:07:12.900> word<00:07:13.190> systematically<00:07:14.220> so<00:07:14.760> it
word after word systematically so it
word after word systematically so it
appears<00:07:15.270> that<00:07:15.600> all<00:07:15.930> three<00:07:16.440> primary
appears that all three primary
appears that all three primary
caregivers<00:07:17.310> myself<00:07:17.700> my<00:07:17.940> wife<00:07:18.090> and<00:07:18.420> our<00:07:18.960> nanny
caregivers myself my wife and our nanny
caregivers myself my wife and our nanny
were<00:07:20.100> systematically<00:07:20.940> and<00:07:21.240> I<00:07:21.420> would<00:07:21.600> think
were systematically and I would think
were systematically and I would think
subconsciously<00:07:23.120> restructuring<00:07:24.120> our
subconsciously restructuring our
subconsciously restructuring our
language<00:07:24.660> to<00:07:25.200> meet<00:07:25.470> him<00:07:25.710> at<00:07:25.920> the<00:07:26.400> moment<00:07:26.760> of
language to meet him at the moment of
language to meet him at the moment of
the<00:07:27.150> birth<00:07:27.330> of<00:07:27.510> a<00:07:27.630> word<00:07:27.810> and<00:07:28.020> bring<00:07:28.500> him<00:07:28.650> gently
the birth of a word and bring him gently
the birth of a word and bring him gently
into<00:07:29.910> more<00:07:30.600> complex<00:07:30.990> language<00:07:31.500> and<00:07:31.710> the
into more complex language and the
into more complex language and the
implications<00:07:32.700> of<00:07:32.850> this<00:07:33.060> there<00:07:33.510> are<00:07:33.600> many<00:07:33.720> but
implications of this there are many but
implications of this there are many but
one<00:07:34.260> I<00:07:34.290> just<00:07:34.620> want<00:07:34.770> to<00:07:34.860> point<00:07:35.040> out<00:07:35.190> is<00:07:35.490> that
one I just want to point out is that
one I just want to point out is that
there<00:07:36.120> must<00:07:36.300> be<00:07:36.680> amazing<00:07:37.680> feedback<00:07:38.490> loops
there must be amazing feedback loops
there must be amazing feedback loops
it's<00:07:39.150> not<00:07:39.390> of<00:07:39.720> course<00:07:40.020> my<00:07:40.500> son<00:07:40.560> is<00:07:40.860> learning
it's not of course my son is learning
it's not of course my son is learning
from<00:07:41.310> his<00:07:41.700> linguistic<00:07:42.120> environment<00:07:42.870> but<00:07:43.230> the
from his linguistic environment but the
from his linguistic environment but the
environment<00:07:43.410> is<00:07:44.040> learning<00:07:44.460> from<00:07:44.610> him<00:07:44.940> that
environment is learning from him that
environment is learning from him that
environment<00:07:45.990> people<00:07:46.260> are<00:07:46.980> in<00:07:47.160> these<00:07:47.370> type
environment people are in these type
environment people are in these type
feedback<00:07:48.120> loops<00:07:48.420> and<00:07:48.570> creating<00:07:49.530> a<00:07:49.560> kind<00:07:49.710> of
feedback loops and creating a kind of
feedback loops and creating a kind of
scaffolding<00:07:50.070> that<00:07:50.640> has<00:07:51.120> not<00:07:51.300> been<00:07:51.510> noticed
scaffolding that has not been noticed
scaffolding that has not been noticed
until<00:07:52.440> now<00:07:53.240> but<00:07:54.240> that's<00:07:55.080> looking<00:07:55.530> at<00:07:55.650> the
until now but that's looking at the
until now but that's looking at the
speech<00:07:55.950> context<00:07:56.700> what<00:07:56.940> about<00:07:57.120> the<00:07:57.270> visual
speech context what about the visual
speech context what about the visual
context<00:07:58.110> we're<00:07:58.500> now<00:07:58.620> looking<00:07:58.800> at<00:07:59.100> think<00:08:00.030> of
context we're now looking at think of
context we're now looking at think of
this<00:08:00.210> as<00:08:00.390> a<00:08:00.419> dollhouse<00:08:00.780> cutaway<00:08:01.530> of<00:08:01.680> the<00:08:01.770> of
this as a dollhouse cutaway of the of
this as a dollhouse cutaway of the of
our
our
our
we've<00:08:03.080> taken<00:08:03.350> those<00:08:03.620> circular<00:08:03.920> fisheye<00:08:04.340> lens
we've taken those circular fisheye lens
we've taken those circular fisheye lens
cameras<00:08:05.300> and<00:08:05.570> we've<00:08:05.930> done<00:08:06.110> some<00:08:06.350> optical
cameras and we've done some optical
cameras and we've done some optical
correction<00:08:07.160> and<00:08:07.580> then<00:08:08.240> we<00:08:08.840> can<00:08:08.990> bring<00:08:09.170> it<00:08:09.230> into
correction and then we can bring it into
correction and then we can bring it into
a<00:08:09.830> three<00:08:10.010> dimensional<00:08:10.040> life<00:08:10.580> so<00:08:11.480> welcome<00:08:11.810> to
a three dimensional life so welcome to
a three dimensional life so welcome to
my<00:08:12.080> home<00:08:13.210> this<00:08:14.210> is<00:08:14.420> a<00:08:14.450> moment<00:08:14.720> one<00:08:15.500> moment
my home this is a moment one moment
my home this is a moment one moment
captured<00:08:16.640> across<00:08:16.970> multiple<00:08:17.330> cameras<00:08:17.900> the
captured across multiple cameras the
captured across multiple cameras the
reason<00:08:18.770> we<00:08:18.890> did<00:08:19.070> this<00:08:19.220> is<00:08:19.430> to<00:08:19.550> create<00:08:19.820> the
reason we did this is to create the
reason we did this is to create the
ultimate<00:08:20.530> memory<00:08:21.530> machine<00:08:21.890> where<00:08:22.130> you<00:08:22.220> can<00:08:22.430> go
ultimate memory machine where you can go
ultimate memory machine where you can go
back<00:08:22.880> and<00:08:23.120> interactively<00:08:23.780> fly<00:08:24.170> around<00:08:24.320> and
back and interactively fly around and
back and interactively fly around and
then<00:08:25.220> breathe<00:08:25.610> video<00:08:26.060> life<00:08:26.330> into<00:08:27.050> this<00:08:27.200> system
then breathe video life into this system
then breathe video life into this system
what<00:08:28.460> I'm<00:08:28.580> going<00:08:28.790> to<00:08:28.850> do<00:08:29.120> is<00:08:29.330> give<00:08:30.170> you<00:08:30.290> an
what I'm going to do is give you an
what I'm going to do is give you an
accelerated<00:08:31.070> view<00:08:31.250> of<00:08:31.430> 30<00:08:31.760> minutes<00:08:32.150> again<00:08:32.480> of
accelerated view of 30 minutes again of
accelerated view of 30 minutes again of
just<00:08:32.870> life<00:08:33.860> in<00:08:34.040> the<00:08:34.130> living<00:08:34.430> room<00:08:34.610> that's<00:08:35.180> me
just life in the living room that's me
just life in the living room that's me
and<00:08:35.780> my<00:08:36.590> son<00:08:36.860> on<00:08:37.070> the<00:08:37.190> floor<00:08:37.370> and<00:08:37.730> there's
and my son on the floor and there's
and my son on the floor and there's
video<00:08:38.870> analytics<00:08:39.470> that<00:08:39.560> are<00:08:39.800> tracking<00:08:40.160> our
video analytics that are tracking our
video analytics that are tracking our
movements<00:08:41.140> my<00:08:42.140> son<00:08:42.410> is<00:08:42.560> leaving<00:08:42.710> red<00:08:43.250> ink<00:08:43.610> I'm
movements my son is leaving red ink I'm
movements my son is leaving red ink I'm
leaving<00:08:44.210> green<00:08:44.450> ink<00:08:44.660> we're<00:08:45.140> now<00:08:45.290> on<00:08:45.470> the<00:08:45.560> couch
leaving green ink we're now on the couch
leaving green ink we're now on the couch
looking<00:08:46.460> out<00:08:46.580> through<00:08:46.820> the<00:08:46.910> window<00:08:47.270> at<00:08:47.870> cars
looking out through the window at cars
looking out through the window at cars
passing<00:08:48.770> by<00:08:48.800> and<00:08:49.220> finally<00:08:49.880> my<00:08:50.030> son<00:08:50.090> playing<00:08:50.630> in
passing by and finally my son playing in
passing by and finally my son playing in
a<00:08:50.960> walking<00:08:51.320> toy<00:08:51.500> by<00:08:51.770> himself
a walking toy by himself
a walking toy by himself
now<00:08:52.850> we<00:08:52.910> freeze<00:08:53.480> the<00:08:53.870> action<00:08:54.020> 30<00:08:54.650> minutes<00:08:55.070> we
now we freeze the action 30 minutes we
now we freeze the action 30 minutes we
turn<00:08:56.120> time<00:08:56.420> into<00:08:56.720> the<00:08:56.810> vertical<00:08:57.110> axis<00:08:57.650> and<00:08:57.800> we
turn time into the vertical axis and we
turn time into the vertical axis and we
open<00:08:58.790> up<00:08:58.910> for<00:08:59.180> a<00:08:59.750> view<00:09:00.080> of<00:09:00.290> these<00:09:00.560> interaction
open up for a view of these interaction
open up for a view of these interaction
traces<00:09:01.520> we've<00:09:01.670> just<00:09:01.910> left<00:09:02.030> behind<00:09:02.270> and<00:09:02.930> we<00:09:03.320> see
traces we've just left behind and we see
traces we've just left behind and we see
these<00:09:03.890> amazing<00:09:04.460> structures<00:09:05.230> these<00:09:06.230> little
these amazing structures these little
these amazing structures these little
knots<00:09:06.860> of<00:09:07.130> two<00:09:07.310> colors<00:09:07.700> of<00:09:07.940> thread<00:09:08.390> we<00:09:08.690> call
knots of two colors of thread we call
knots of two colors of thread we call
social<00:09:09.260> hotspots<00:09:10.480> the<00:09:11.480> spiral<00:09:12.050> thread<00:09:12.410> we
social hotspots the spiral thread we
social hotspots the spiral thread we
call<00:09:13.580> a<00:09:13.820> solo<00:09:14.150> hotspot<00:09:14.690> and<00:09:15.050> we<00:09:15.260> think<00:09:15.500> that
call a solo hotspot and we think that
call a solo hotspot and we think that
these<00:09:16.250> affect<00:09:16.700> the<00:09:16.880> way<00:09:17.030> language<00:09:17.420> is<00:09:17.750> learned
these affect the way language is learned
these affect the way language is learned
what<00:09:18.290> we'd<00:09:18.440> like<00:09:18.620> to<00:09:18.830> do<00:09:19.040> is<00:09:19.460> start
what we'd like to do is start
what we'd like to do is start
understanding<00:09:20.780> the<00:09:20.960> interaction<00:09:21.500> between
understanding the interaction between
understanding the interaction between
these<00:09:22.250> patterns<00:09:22.790> and<00:09:23.030> the<00:09:23.720> language<00:09:24.080> that<00:09:24.230> my
these patterns and the language that my
these patterns and the language that my
son<00:09:24.620> is<00:09:24.740> exposed<00:09:25.160> to<00:09:25.340> to<00:09:25.520> see<00:09:25.730> if<00:09:26.090> we<00:09:26.330> can
son is exposed to to see if we can
son is exposed to to see if we can
predict<00:09:26.990> how<00:09:27.680> the<00:09:27.740> structure<00:09:28.400> of<00:09:28.430> when<00:09:28.730> words
predict how the structure of when words
predict how the structure of when words
are<00:09:29.300> heard<00:09:29.510> affects<00:09:30.250> when<00:09:31.250> they're<00:09:31.430> learned
are heard affects when they're learned
are heard affects when they're learned
so<00:09:32.180> in<00:09:32.270> other<00:09:32.480> words<00:09:32.660> the<00:09:32.840> relationship
so in other words the relationship
so in other words the relationship
between<00:09:33.680> words<00:09:34.070> and<00:09:34.340> what<00:09:34.520> they're<00:09:34.670> about<00:09:35.060> in
between words and what they're about in
between words and what they're about in
the<00:09:36.080> world<00:09:36.610> so<00:09:37.610> here's<00:09:37.880> how<00:09:38.090> we're
the world so here's how we're
the world so here's how we're
approaching<00:09:38.990> this<00:09:39.620> in<00:09:39.920> this<00:09:40.430> video<00:09:40.760> again<00:09:41.180> my
approaching this in this video again my
approaching this in this video again my
son<00:09:41.660> is<00:09:41.870> being<00:09:42.770> traced<00:09:43.640> out<00:09:43.940> he's<00:09:44.270> leaving<00:09:44.630> red
son is being traced out he's leaving red
son is being traced out he's leaving red
ink<00:09:44.990> behind<00:09:45.200> and<00:09:45.740> there's<00:09:45.890> our<00:09:46.040> nanny<00:09:46.280> by<00:09:46.580> the
ink behind and there's our nanny by the
ink behind and there's our nanny by the
door
she<00:09:53.600> offers<00:09:54.050> water<00:09:54.320> and<00:09:54.680> off<00:09:55.370> go<00:09:55.670> the<00:09:55.910> two
she offers water and off go the two
she offers water and off go the two
worms<00:09:56.720> over<00:09:57.560> to<00:09:57.710> the<00:09:57.830> kitchen<00:09:58.190> to<00:09:58.430> get<00:09:58.610> water
worms over to the kitchen to get water
worms over to the kitchen to get water
and<00:09:59.060> what<00:09:59.750> we've<00:09:59.870> done<00:10:00.020> is<00:10:00.200> used<00:10:00.410> the<00:10:00.530> word
and what we've done is used the word
and what we've done is used the word
water<00:10:00.860> to<00:10:01.100> tag<00:10:01.430> that<00:10:01.670> moment<00:10:02.150> that<00:10:02.240> bit<00:10:02.510> of
water to tag that moment that bit of
water to tag that moment that bit of
activity<00:10:02.930> and<00:10:03.350> now<00:10:03.680> we<00:10:03.740> take<00:10:04.100> the<00:10:04.280> power<00:10:04.550> of
activity and now we take the power of
activity and now we take the power of
data<00:10:05.480> and<00:10:05.900> take<00:10:06.640> every<00:10:07.640> time<00:10:07.910> my<00:10:08.150> son<00:10:08.210> ever
data and take every time my son ever
data and take every time my son ever
heard<00:10:09.200> the<00:10:09.560> word<00:10:09.740> water<00:10:10.040> and<00:10:10.370> the<00:10:10.700> context<00:10:11.330> he
heard the word water and the context he
heard the word water and the context he
saw<00:10:11.690> it<00:10:11.750> in<00:10:11.960> and<00:10:12.190> we<00:10:13.190> use<00:10:13.400> it<00:10:13.430> to<00:10:13.730> penetrate
saw it in and we use it to penetrate
saw it in and we use it to penetrate
through<00:10:14.990> the<00:10:15.110> video<00:10:15.380> and<00:10:15.680> find<00:10:16.460> every
through the video and find every
through the video and find every
activity<00:10:17.870> trace<00:10:18.350> that<00:10:18.860> Co<00:10:19.070> occurred<00:10:19.460> with<00:10:20.060> the
activity trace that Co occurred with the
activity trace that Co occurred with the
instance<00:10:20.510> of<00:10:20.660> water<00:10:20.900> and<00:10:21.230> what<00:10:22.130> this<00:10:22.340> data
instance of water and what this data
instance of water and what this data
leaves<00:10:23.540> in<00:10:23.750> its<00:10:23.900> wake<00:10:23.960> is<00:10:24.410> a<00:10:24.680> landscape<00:10:25.340> we
leaves in its wake is a landscape we
leaves in its wake is a landscape we
call<00:10:26.210> these<00:10:26.390> word<00:10:26.630> scapes<00:10:27.080> this<00:10:27.410> is<00:10:27.560> the<00:10:27.680> word
call these word scapes this is the word
call these word scapes this is the word
scape<00:10:28.190> for<00:10:28.670> the<00:10:28.760> word<00:10:28.910> water<00:10:29.180> and<00:10:29.480> you<00:10:29.750> can<00:10:29.930> see
scape for the word water and you can see
scape for the word water and you can see
most<00:10:30.320> of<00:10:30.470> the<00:10:30.590> action<00:10:30.950> is<00:10:31.070> in<00:10:31.100> the<00:10:31.250> kitchen
most of the action is in the kitchen
most of the action is in the kitchen
that's<00:10:31.790> where<00:10:31.910> those<00:10:32.120> big<00:10:32.360> Peaks<00:10:33.020> are<00:10:33.260> over<00:10:33.770> to
that's where those big Peaks are over to
that's where those big Peaks are over to
the<00:10:33.980> left<00:10:34.160> and<00:10:34.400> just<00:10:34.940> for<00:10:35.150> contrast<00:10:35.690> we<00:10:36.050> can<00:10:36.230> do
the left and just for contrast we can do
the left and just for contrast we can do
this<00:10:36.470> with<00:10:36.680> any<00:10:36.860> word<00:10:37.100> we<00:10:37.910> can<00:10:38.090> take<00:10:38.270> the<00:10:38.420> word
this with any word we can take the word
this with any word we can take the word
by<00:10:39.380> as<00:10:39.740> a<00:10:40.430> goodbye
by as a goodbye
by as a goodbye
and<00:10:41.450> we're<00:10:41.600> now<00:10:41.750> sumed<00:10:42.140> in<00:10:42.320> over<00:10:42.620> the<00:10:42.740> entrance
and we're now sumed in over the entrance
and we're now sumed in over the entrance
to<00:10:43.310> the<00:10:43.400> house<00:10:43.580> and<00:10:43.850> we<00:10:44.450> look<00:10:44.660> and<00:10:44.900> we<00:10:45.320> find<00:10:45.590> as
to the house and we look and we find as
to the house and we look and we find as
you'd<00:10:45.980> expect<00:10:46.340> a<00:10:46.550> contrast<00:10:47.360> in<00:10:47.540> the<00:10:47.630> landscape
you'd expect a contrast in the landscape
you'd expect a contrast in the landscape
where<00:10:48.950> the<00:10:49.100> word<00:10:49.280> by<00:10:49.520> occurs<00:10:49.850> much<00:10:50.420> more<00:10:50.450> in<00:10:50.900> a
where the word by occurs much more in a
where the word by occurs much more in a
structured<00:10:51.380> way<00:10:51.410> so<00:10:51.980> we're<00:10:52.160> using<00:10:52.370> these
structured way so we're using these
structured way so we're using these
structures<00:10:53.150> to<00:10:53.600> start<00:10:53.870> predicting<00:10:55.240> the<00:10:56.240> order
structures to start predicting the order
structures to start predicting the order
of<00:10:56.720> language<00:10:57.110> acquisition<00:10:57.410> and<00:10:57.950> that's<00:10:58.670> your
of language acquisition and that's your
of language acquisition and that's your
ongoing<00:10:59.780> worth<00:11:00.230> now<00:11:00.470> in<00:11:00.710> my<00:11:01.070> lab<00:11:01.280> which<00:11:01.550> we're
ongoing worth now in my lab which we're
ongoing worth now in my lab which we're
peering<00:11:02.150> into<00:11:02.420> now<00:11:02.600> at<00:11:03.230> MIT<00:11:03.470> this<00:11:03.830> is<00:11:04.010> at<00:11:04.220> the
peering into now at MIT this is at the
peering into now at MIT this is at the
Media<00:11:04.610> Lab<00:11:04.640> this<00:11:05.180> has<00:11:05.330> become<00:11:05.630> my<00:11:05.750> favorite
Media Lab this has become my favorite
Media Lab this has become my favorite
way<00:11:06.290> of<00:11:06.530> video<00:11:07.190> graphing<00:11:07.640> just<00:11:08.030> about<00:11:08.180> any
way of video graphing just about any
way of video graphing just about any
space<00:11:08.690> three<00:11:09.650> of<00:11:09.770> the<00:11:09.860> key<00:11:10.010> people<00:11:10.190> in<00:11:10.520> this
space three of the key people in this
space three of the key people in this
project<00:11:10.700> Philip<00:11:11.360> the<00:11:11.480> camp<00:11:11.720> Ronny<00:11:12.290> cubot<00:11:12.710> and
project Philip the camp Ronny cubot and
project Philip the camp Ronny cubot and
Brendan<00:11:13.490> Roy<00:11:13.670> are<00:11:13.820> pictured<00:11:14.180> here<00:11:14.410> Philip<00:11:15.410> has
Brendan Roy are pictured here Philip has
Brendan Roy are pictured here Philip has
been<00:11:16.040> a<00:11:16.070> close<00:11:16.310> collaborator<00:11:16.880> and<00:11:16.940> all<00:11:17.030> the
been a close collaborator and all the
been a close collaborator and all the
visualizations<00:11:17.750> you're<00:11:18.140> seeing<00:11:18.410> and<00:11:19.180> Michael
visualizations you're seeing and Michael
visualizations you're seeing and Michael
Fleischman<00:11:20.720> was<00:11:21.500> another<00:11:22.040> PhD<00:11:22.370> student<00:11:22.910> in<00:11:23.000> my
Fleischman was another PhD student in my
Fleischman was another PhD student in my
lab<00:11:23.180> who<00:11:23.930> worked<00:11:24.170> with<00:11:24.440> me<00:11:24.800> on<00:11:25.010> this<00:11:25.400> home
lab who worked with me on this home
lab who worked with me on this home
video<00:11:25.760> analysis<00:11:26.330> and<00:11:26.480> he<00:11:26.930> made<00:11:27.200> the<00:11:27.740> following
video analysis and he made the following
video analysis and he made the following
observation<00:11:28.420> that<00:11:29.420> just<00:11:30.140> the<00:11:30.290> way<00:11:30.470> that<00:11:30.650> we're
observation that just the way that we're
observation that just the way that we're
analyzing<00:11:31.130> how<00:11:31.640> language<00:11:32.120> connects<00:11:32.810> to
analyzing how language connects to
analyzing how language connects to
events<00:11:33.950> which<00:11:34.520> provide<00:11:34.910> common<00:11:35.330> ground<00:11:35.600> for
events which provide common ground for
events which provide common ground for
language<00:11:36.230> that<00:11:36.470> same<00:11:37.220> idea<00:11:37.610> we<00:11:37.910> can<00:11:38.090> take<00:11:38.270> out
language that same idea we can take out
language that same idea we can take out
of<00:11:38.720> your<00:11:39.320> home<00:11:39.560> Deb<00:11:39.860> and<00:11:40.070> we<00:11:40.580> can<00:11:40.700> apply<00:11:41.030> it<00:11:41.090> to
of your home Deb and we can apply it to
of your home Deb and we can apply it to
the<00:11:41.810> world<00:11:41.990> of<00:11:42.110> public<00:11:42.410> media<00:11:42.560> and<00:11:42.950> so<00:11:43.490> our
the world of public media and so our
the world of public media and so our
effort<00:11:44.600> took<00:11:44.870> an<00:11:45.050> unexpected<00:11:45.350> turn
effort took an unexpected turn
effort took an unexpected turn
think<00:11:47.120> of<00:11:47.300> mass<00:11:47.630> media<00:11:48.140> as<00:11:48.380> providing<00:11:49.370> common
think of mass media as providing common
think of mass media as providing common
ground<00:11:50.060> and<00:11:50.710> you<00:11:51.710> have<00:11:51.740> the<00:11:52.070> recipe<00:11:52.490> for
ground and you have the recipe for
ground and you have the recipe for
taking<00:11:52.940> this<00:11:53.030> idea<00:11:53.240> to<00:11:53.630> a<00:11:53.660> whole<00:11:53.810> new<00:11:53.990> place
taking this idea to a whole new place
taking this idea to a whole new place
we've<00:11:55.610> started<00:11:55.880> analyzing<00:11:56.650> television
we've started analyzing television
we've started analyzing television
content<00:11:58.100> using<00:11:58.940> the<00:11:58.970> same<00:11:59.360> principles
content using the same principles
content using the same principles
analyzing<00:12:01.280> event<00:12:01.610> structure<00:12:01.940> of<00:12:02.270> a<00:12:02.420> TV<00:12:02.750> signal
analyzing event structure of a TV signal
analyzing event structure of a TV signal
episodes<00:12:04.820> of<00:12:04.970> shows<00:12:05.770> commercials<00:12:06.770> all<00:12:07.340> of<00:12:07.700> the
episodes of shows commercials all of the
episodes of shows commercials all of the
components<00:12:08.810> that<00:12:08.870> make<00:12:08.960> up<00:12:09.170> the<00:12:09.320> event
components that make up the event
components that make up the event
structure<00:12:10.010> we're<00:12:10.550> now<00:12:10.730> with<00:12:11.150> satellite
structure we're now with satellite
structure we're now with satellite
dishes<00:12:11.720> pulling<00:12:12.230> in<00:12:12.350> and<00:12:12.530> analyzing<00:12:13.100> a<00:12:13.190> good
dishes pulling in and analyzing a good
dishes pulling in and analyzing a good
part<00:12:13.640> of<00:12:13.730> all<00:12:14.120> the<00:12:14.330> TV<00:12:14.660> being<00:12:14.930> watched<00:12:15.140> in<00:12:15.380> the
part of all the TV being watched in the
part of all the TV being watched in the
United<00:12:15.680> States<00:12:15.890> and<00:12:16.160> you<00:12:16.820> don't<00:12:17.000> have<00:12:17.240> to<00:12:17.420> now
United States and you don't have to now
United States and you don't have to now
go<00:12:17.750> an<00:12:17.840> instrument<00:12:18.320> living<00:12:18.590> rooms<00:12:18.770> with
go an instrument living rooms with
go an instrument living rooms with
microphones<00:12:19.430> to<00:12:19.700> get<00:12:19.880> people's
microphones to get people's
microphones to get people's
conversations<00:12:21.320> you<00:12:22.100> just<00:12:22.310> tuned<00:12:22.490> in<00:12:22.640> to
conversations you just tuned in to
conversations you just tuned in to
publicly<00:12:23.120> available<00:12:23.360> social<00:12:23.900> media<00:12:24.320> feeds<00:12:24.590> so
publicly available social media feeds so
publicly available social media feeds so
we're<00:12:25.220> pulling<00:12:25.550> in<00:12:25.730> about<00:12:26.440> 3<00:12:27.440> billion
we're pulling in about 3 billion
we're pulling in about 3 billion
comments<00:12:28.460> a<00:12:28.550> month<00:12:28.580> and<00:12:29.030> then<00:12:29.870> the<00:12:30.050> magic
comments a month and then the magic
comments a month and then the magic
happens<00:12:30.860> you<00:12:31.280> have<00:12:31.310> the<00:12:31.610> event<00:12:31.820> structure<00:12:32.210> the
happens you have the event structure the
happens you have the event structure the
common<00:12:33.470> ground<00:12:33.770> that<00:12:33.890> the<00:12:34.070> words<00:12:34.280> are<00:12:34.490> about
common ground that the words are about
common ground that the words are about
coming<00:12:35.480> out<00:12:35.600> of<00:12:35.780> the<00:12:36.020> television<00:12:36.320> feeds
coming out of the television feeds
coming out of the television feeds
you've<00:12:37.640> got<00:12:37.850> the<00:12:38.000> conversations<00:12:38.780> that<00:12:39.080> are
you've got the conversations that are
you've got the conversations that are
about<00:12:39.830> that<00:12:40.160> those<00:12:40.790> topics<00:12:41.240> and<00:12:42.040> through
about that those topics and through
about that those topics and through
semantic<00:12:43.580> analysis<00:12:44.270> and<00:12:44.510> this<00:12:44.600> is<00:12:44.720> actually
semantic analysis and this is actually
semantic analysis and this is actually
real<00:12:45.320> data<00:12:45.590> you're<00:12:45.860> looking<00:12:45.890> at<00:12:46.310> from<00:12:46.580> our
real data you're looking at from our
real data you're looking at from our
data<00:12:46.970> our<00:12:47.480> processing<00:12:48.230> each<00:12:48.530> yellow<00:12:48.920> line<00:12:49.190> is
data our processing each yellow line is
data our processing each yellow line is
showing<00:12:49.700> a<00:12:49.880> link<00:12:50.390> being<00:12:50.630> made<00:12:50.900> between<00:12:51.620> a
showing a link being made between a
showing a link being made between a
comment<00:12:52.310> in<00:12:52.490> the<00:12:52.760> wild<00:12:53.150> and<00:12:53.440> a<00:12:54.440> piece<00:12:55.070> of<00:12:55.280> event
comment in the wild and a piece of event
comment in the wild and a piece of event
structure<00:12:56.030> coming<00:12:56.450> out<00:12:56.540> of<00:12:56.630> the<00:12:56.720> television
structure coming out of the television
structure coming out of the television
signal<00:12:57.410> and<00:12:57.970> the<00:12:58.970> same<00:12:59.240> idea<00:12:59.690> now<00:13:00.020> can<00:13:00.320> be
signal and the same idea now can be
signal and the same idea now can be
built<00:13:00.680> up<00:13:00.890> and<00:13:01.190> we<00:13:01.640> get<00:13:01.850> this<00:13:02.510> word<00:13:03.140> scape
built up and we get this word scape
built up and we get this word scape
except<00:13:04.100> now<00:13:04.280> words<00:13:04.730> are<00:13:04.910> not<00:13:05.060> assembled<00:13:05.540> in<00:13:05.630> my
except now words are not assembled in my
except now words are not assembled in my
living<00:13:06.020> room<00:13:06.170> instead<00:13:07.130> the<00:13:07.310> context<00:13:08.000> the
living room instead the context the
living room instead the context the
common<00:13:08.510> ground<00:13:08.810> the<00:13:09.170> activities<00:13:10.030> are<00:13:11.030> the
common ground the activities are the
common ground the activities are the
content<00:13:11.600> on<00:13:11.690> television<00:13:12.260> that's<00:13:12.500> driving<00:13:12.890> the
content on television that's driving the
content on television that's driving the
conversations<00:13:13.640> and<00:13:13.880> so<00:13:14.300> what<00:13:14.450> we're<00:13:14.600> seeing
conversations and so what we're seeing
conversations and so what we're seeing
here<00:13:14.870> these<00:13:15.140> skyscrapers<00:13:16.010> now<00:13:16.190> are
here these skyscrapers now are
here these skyscrapers now are
commentary<00:13:17.750> that<00:13:18.410> are<00:13:18.560> linked<00:13:18.860> to<00:13:19.580> content<00:13:20.030> on
commentary that are linked to content on
commentary that are linked to content on
television<00:13:20.380> same<00:13:21.380> concept<00:13:21.950> but<00:13:22.190> looking<00:13:22.970> at
television same concept but looking at
television same concept but looking at
communication<00:13:23.780> dynamics<00:13:24.440> in<00:13:24.530> a<00:13:24.590> different
communication dynamics in a different
communication dynamics in a different
very<00:13:25.250> different<00:13:25.580> sphere<00:13:25.850> so<00:13:26.750> fundamentally
very different sphere so fundamentally
very different sphere so fundamentally
rather<00:13:27.830> than<00:13:28.130> for<00:13:28.520> example<00:13:28.580> measuring
rather than for example measuring
rather than for example measuring
content<00:13:29.930> based<00:13:30.170> on<00:13:30.290> how<00:13:30.440> many<00:13:30.500> people<00:13:30.800> are
content based on how many people are
content based on how many people are
watching<00:13:31.130> this<00:13:32.000> gives<00:13:32.300> us<00:13:32.510> the<00:13:32.900> basic<00:13:33.290> data
watching this gives us the basic data
watching this gives us the basic data
for<00:13:34.310> looking<00:13:34.520> at<00:13:34.580> engagement<00:13:34.970> properties<00:13:35.720> of
for looking at engagement properties of
for looking at engagement properties of
content<00:13:36.470> and<00:13:36.710> just<00:13:37.400> like<00:13:37.880> we<00:13:38.030> can<00:13:38.180> look<00:13:38.360> at
content and just like we can look at
content and just like we can look at
feedback<00:13:39.050> cycles<00:13:39.560> and<00:13:39.800> dynamics<00:13:40.520> in<00:13:40.820> you<00:13:41.300> know
feedback cycles and dynamics in you know
feedback cycles and dynamics in you know
in<00:13:41.600> a<00:13:41.690> family<00:13:41.900> we<00:13:42.860> can<00:13:43.010> now<00:13:43.160> open<00:13:43.580> up<00:13:43.700> the<00:13:43.880> same
in a family we can now open up the same
in a family we can now open up the same
concepts<00:13:45.080> and<00:13:45.350> look<00:13:45.590> at<00:13:45.970> much<00:13:46.970> larger<00:13:47.210> groups
concepts and look at much larger groups
concepts and look at much larger groups
of<00:13:47.840> people<00:13:47.960> this<00:13:48.290> is<00:13:48.350> a<00:13:49.000> subset<00:13:50.000> of<00:13:50.030> data<00:13:50.510> from
of people this is a subset of data from
of people this is a subset of data from
our<00:13:51.290> database<00:13:51.710> just<00:13:52.160> 50<00:13:52.610> thousand<00:13:53.060> out<00:13:53.180> of
our database just 50 thousand out of
our database just 50 thousand out of
several<00:13:53.600> million<00:13:53.810> and<00:13:54.250> the<00:13:55.250> social<00:13:55.610> graph
several million and the social graph
several million and the social graph
that<00:13:56.300> connects<00:13:56.690> them<00:13:56.900> through<00:13:57.380> publicly
that connects them through publicly
that connects them through publicly
available<00:13:58.100> sources<00:13:58.810> and<00:13:59.810> if<00:14:00.500> you<00:14:00.620> put<00:14:00.800> them<00:14:00.920> on
available sources and if you put them on
available sources and if you put them on
one<00:14:01.280> plane<00:14:01.610> a<00:14:01.820> second<00:14:02.270> plane<00:14:02.480> is<00:14:02.660> where<00:14:02.810> the
one plane a second plane is where the
one plane a second plane is where the
content<00:14:03.290> lives<00:14:03.880> so<00:14:04.880> we<00:14:05.030> have<00:14:05.240> the<00:14:05.960> programs
content lives so we have the programs
content lives so we have the programs
and<00:14:07.780> the<00:14:08.780> the<00:14:09.230> sporting<00:14:09.830> events<00:14:10.310> and<00:14:10.460> the
and the the sporting events and the
and the the sporting events and the
commercials<00:14:10.580> and<00:14:11.300> all<00:14:11.600> of<00:14:11.900> the<00:14:11.990> link
commercials and all of the link
commercials and all of the link
structures<00:14:12.500> that<00:14:12.740> tie<00:14:12.950> them<00:14:13.460> together<00:14:13.670> make<00:14:14.570> a
structures that tie them together make a
structures that tie them together make a
Content<00:14:15.200> graph<00:14:15.410> and<00:14:15.680> then<00:14:16.190> the<00:14:17.120> important
Content graph and then the important
Content graph and then the important
that<00:14:18.170> our<00:14:18.260> dimension<00:14:19.060> each<00:14:20.060> of<00:14:20.270> the<00:14:20.390> links
that our dimension each of the links
that our dimension each of the links
that<00:14:20.720> you're<00:14:20.930> seeing<00:14:21.170> rendered<00:14:21.530> here<00:14:21.770> is<00:14:21.890> an
that you're seeing rendered here is an
that you're seeing rendered here is an
actual<00:14:22.490> connection<00:14:23.240> made<00:14:23.450> between<00:14:24.700> something
actual connection made between something
actual connection made between something
someone<00:14:26.030> said<00:14:26.270> and<00:14:26.480> a<00:14:26.900> piece<00:14:27.110> of<00:14:27.140> content<00:14:27.650> and
someone said and a piece of content and
someone said and a piece of content and
there<00:14:28.730> are<00:14:28.880> again<00:14:29.180> now<00:14:29.570> tens<00:14:29.930> of<00:14:30.140> millions<00:14:30.500> of
there are again now tens of millions of
there are again now tens of millions of
these<00:14:30.800> links<00:14:31.190> that<00:14:31.760> give<00:14:31.970> us<00:14:32.120> the<00:14:32.240> connective
these links that give us the connective
these links that give us the connective
tissue<00:14:33.020> of<00:14:33.850> social<00:14:34.850> graphs<00:14:35.060> and<00:14:35.300> how<00:14:35.420> they
tissue of social graphs and how they
tissue of social graphs and how they
relate<00:14:35.840> to<00:14:36.310> content<00:14:37.310> and<00:14:37.550> we<00:14:38.060> can<00:14:38.240> now<00:14:38.510> start
relate to content and we can now start
relate to content and we can now start
to<00:14:38.900> probe<00:14:39.200> the<00:14:39.440> structure<00:14:39.740> in<00:14:39.950> interesting
to probe the structure in interesting
to probe the structure in interesting
ways<00:14:40.490> so<00:14:41.270> if<00:14:41.480> we<00:14:41.660> for<00:14:42.170> example<00:14:42.260> trace<00:14:43.220> the<00:14:43.580> path
ways so if we for example trace the path
ways so if we for example trace the path
of<00:14:44.300> one<00:14:44.720> piece<00:14:44.990> of<00:14:45.230> content<00:14:45.440> that<00:14:46.010> drives
of one piece of content that drives
of one piece of content that drives
someone<00:14:47.300> to<00:14:48.200> comment<00:14:48.620> on<00:14:48.770> it<00:14:48.920> and<00:14:49.070> then<00:14:49.280> we
someone to comment on it and then we
someone to comment on it and then we
follower<00:14:49.820> that<00:14:49.910> comment<00:14:50.450> goes<00:14:50.660> and<00:14:51.020> look<00:14:51.620> at
follower that comment goes and look at
follower that comment goes and look at
the<00:14:51.860> entire<00:14:52.190> social<00:14:53.030> graph<00:14:53.330> that<00:14:53.570> becomes
the entire social graph that becomes
the entire social graph that becomes
activated<00:14:54.410> and<00:14:54.620> then<00:14:55.610> trace<00:14:55.910> back<00:14:56.210> to<00:14:56.420> see<00:14:56.570> the
activated and then trace back to see the
activated and then trace back to see the
relationship<00:14:57.260> between<00:14:57.440> that<00:14:57.800> social<00:14:58.220> graph
relationship between that social graph
relationship between that social graph
and<00:14:58.670> content<00:14:59.120> very<00:14:59.870> interesting<00:15:00.380> structure
and content very interesting structure
and content very interesting structure
becomes<00:15:01.490> visible<00:15:01.940> we<00:15:02.390> call<00:15:02.660> this<00:15:02.840> a
becomes visible we call this a
becomes visible we call this a
co-viewing<00:15:03.680> clique<00:15:04.190> a<00:15:04.340> virtual<00:15:04.790> living<00:15:05.090> room
co-viewing clique a virtual living room
co-viewing clique a virtual living room
if<00:15:05.450> you<00:15:05.600> will<00:15:05.750> and<00:15:05.990> there<00:15:06.830> are<00:15:06.980> fascinating
if you will and there are fascinating
if you will and there are fascinating
dynamics<00:15:08.300> at<00:15:08.450> play<00:15:08.480> it's<00:15:09.080> not<00:15:09.290> one-way<00:15:09.800> a
dynamics at play it's not one-way a
dynamics at play it's not one-way a
piece<00:15:10.460> of<00:15:10.670> content<00:15:11.240> an<00:15:11.420> event<00:15:11.810> causes<00:15:12.470> someone
piece of content an event causes someone
piece of content an event causes someone
to<00:15:12.890> talk<00:15:13.100> they<00:15:13.730> talk<00:15:13.760> to<00:15:14.210> other<00:15:14.360> people<00:15:14.600> that
to talk they talk to other people that
to talk they talk to other people that
drives<00:15:15.770> TuneIn<00:15:16.190> behavior<00:15:16.670> back<00:15:16.940> into<00:15:17.270> mass
drives TuneIn behavior back into mass
drives TuneIn behavior back into mass
media<00:15:17.840> and<00:15:18.080> you<00:15:18.800> have<00:15:19.010> these<00:15:19.340> cycles<00:15:19.850> that
media and you have these cycles that
media and you have these cycles that
drive<00:15:20.540> the<00:15:20.720> overall<00:15:21.290> behavior<00:15:21.680> another
drive the overall behavior another
drive the overall behavior another
example<00:15:23.240> very<00:15:23.270> different<00:15:24.070> another<00:15:25.070> actual
example very different another actual
example very different another actual
person<00:15:26.570> in<00:15:26.630> our<00:15:26.660> database<00:15:27.140> and<00:15:27.170> we're<00:15:27.500> finding
person in our database and we're finding
person in our database and we're finding
at<00:15:28.280> least<00:15:28.520> hundreds<00:15:28.910> if<00:15:29.000> not<00:15:29.030> thousands<00:15:29.690> of
at least hundreds if not thousands of
at least hundreds if not thousands of
these<00:15:29.960> we've<00:15:30.530> given<00:15:30.770> this<00:15:31.190> person<00:15:31.580> a<00:15:31.640> name
these we've given this person a name
these we've given this person a name
this<00:15:32.210> is<00:15:32.480> a<00:15:32.540> pro<00:15:32.870> amateur<00:15:33.560> or<00:15:33.680> pro<00:15:33.980> a<00:15:34.010> media
this is a pro amateur or pro a media
this is a pro amateur or pro a media
critic<00:15:34.760> who<00:15:35.720> has<00:15:35.960> this<00:15:36.290> high<00:15:37.280> fan<00:15:37.790> out<00:15:38.000> race<00:15:38.300> a
critic who has this high fan out race a
critic who has this high fan out race a
lot<00:15:38.810> of<00:15:38.930> people<00:15:39.200> are<00:15:39.290> following<00:15:39.440> this<00:15:39.680> person
lot of people are following this person
lot of people are following this person
very<00:15:39.980> influential<00:15:40.520> and<00:15:40.790> they<00:15:41.210> have<00:15:41.390> a
very influential and they have a
very influential and they have a
propensity<00:15:41.810> to<00:15:42.200> talk<00:15:42.380> about<00:15:42.530> what's<00:15:42.800> on<00:15:42.920> TV<00:15:43.280> so
propensity to talk about what's on TV so
propensity to talk about what's on TV so
this<00:15:44.390> person<00:15:44.660> is<00:15:44.960> a<00:15:45.020> key<00:15:45.560> link<00:15:45.950> in<00:15:46.120> connecting
this person is a key link in connecting
this person is a key link in connecting
mass<00:15:47.330> media<00:15:47.720> and<00:15:47.930> social<00:15:48.230> media<00:15:48.410> together<00:15:49.240> one
mass media and social media together one
mass media and social media together one
last<00:15:50.480> example<00:15:50.660> from<00:15:51.350> this<00:15:51.500> data<00:15:52.090> sometimes
last example from this data sometimes
last example from this data sometimes
it's<00:15:53.480> actually<00:15:53.870> the<00:15:53.960> piece<00:15:54.110> of<00:15:54.260> content<00:15:54.440> that
it's actually the piece of content that
it's actually the piece of content that
is<00:15:55.220> special<00:15:55.640> so<00:15:56.270> if<00:15:56.360> we<00:15:56.450> go<00:15:56.630> and<00:15:56.840> look<00:15:56.990> at<00:15:57.850> this
is special so if we go and look at this
is special so if we go and look at this
piece<00:15:59.060> of<00:15:59.240> content<00:15:59.660> President<00:16:00.320> Obama's<00:16:00.830> State
piece of content President Obama's State
piece of content President Obama's State
of<00:16:01.430> the<00:16:01.460> Union<00:16:01.550> address<00:16:02.150> from<00:16:02.390> just<00:16:02.720> a<00:16:02.810> few
of the Union address from just a few
of the Union address from just a few
weeks<00:16:03.200> ago<00:16:03.350> and<00:16:03.730> look<00:16:04.730> at<00:16:04.940> what<00:16:05.450> we<00:16:05.570> find<00:16:05.810> in<00:16:06.050> in
weeks ago and look at what we find in in
weeks ago and look at what we find in in
the<00:16:06.440> same<00:16:06.680> data<00:16:06.950> set<00:16:07.250> at<00:16:07.430> the<00:16:07.850> same<00:16:08.060> scale<00:16:09.310> the
the same data set at the same scale the
the same data set at the same scale the
engagement<00:16:10.820> properties<00:16:11.270> of<00:16:11.420> this<00:16:11.510> piece<00:16:11.690> of
engagement properties of this piece of
engagement properties of this piece of
content<00:16:12.260> are<00:16:12.440> truly<00:16:12.800> remarkable<00:16:13.100> a<00:16:14.230> nation
content are truly remarkable a nation
content are truly remarkable a nation
exploding<00:16:16.040> in<00:16:16.100> conversation<00:16:16.790> in<00:16:16.970> real<00:16:17.780> time
exploding in conversation in real time
exploding in conversation in real time
in<00:16:18.380> response<00:16:19.160> to<00:16:19.340> what's<00:16:19.550> on<00:16:19.730> on<00:16:20.150> the
in response to what's on on the
in response to what's on on the
broadcast<00:16:21.170> and<00:16:21.440> of<00:16:21.890> course<00:16:22.160> through<00:16:22.580> all<00:16:22.730> of
broadcast and of course through all of
broadcast and of course through all of
these<00:16:23.030> lines<00:16:23.270> are<00:16:23.600> flowing<00:16:24.050> unstructured
these lines are flowing unstructured
these lines are flowing unstructured
language<00:16:25.370> we<00:16:25.610> can<00:16:25.760> x-ray<00:16:26.180> and<00:16:26.570> get<00:16:27.140> a
language we can x-ray and get a
language we can x-ray and get a
real-time<00:16:27.950> pulse<00:16:28.910> of<00:16:29.210> a<00:16:29.300> nation<00:16:29.660> real-time
real-time pulse of a nation real-time
real-time pulse of a nation real-time
sand
sand
sand
of<00:16:31.030> the<00:16:31.150> social<00:16:31.540> reactions<00:16:32.080> in<00:16:32.320> the<00:16:32.410> different
of the social reactions in the different
of the social reactions in the different
circuits<00:16:33.190> in<00:16:33.490> the<00:16:34.120> social<00:16:34.390> graph<00:16:34.540> being
circuits in the social graph being
circuits in the social graph being
activated<00:16:35.530> by<00:16:35.800> content<00:16:36.250> so<00:16:37.210> to<00:16:37.990> summarize<00:16:38.470> the
activated by content so to summarize the
activated by content so to summarize the
idea<00:16:39.460> is<00:16:39.550> this<00:16:39.790> as<00:16:40.090> our<00:16:40.630> world<00:16:41.230> becomes
idea is this as our world becomes
idea is this as our world becomes
increasingly<00:16:42.490> instrumented<00:16:43.270> and<00:16:43.420> we<00:16:44.200> have
increasingly instrumented and we have
increasingly instrumented and we have
the<00:16:44.530> capabilities<00:16:45.250> to<00:16:45.280> collect<00:16:45.970> and<00:16:46.240> connect
the capabilities to collect and connect
the capabilities to collect and connect
the<00:16:47.350> dots<00:16:47.590> between<00:16:48.160> what<00:16:48.700> people<00:16:48.730> are<00:16:49.120> saying
the dots between what people are saying
the dots between what people are saying
in<00:16:49.540> the<00:16:49.630> context<00:16:50.140> they're<00:16:50.260> saying<00:16:50.500> and<00:16:51.300> what's
in the context they're saying and what's
in the context they're saying and what's
emerging<00:16:52.840> is<00:16:52.930> an<00:16:53.050> ability<00:16:53.290> to<00:16:53.590> see<00:16:53.920> new<00:16:54.400> social
emerging is an ability to see new social
emerging is an ability to see new social
structures<00:16:55.360> and<00:16:55.390> dynamics<00:16:55.750> that<00:16:56.610> have
structures and dynamics that have
structures and dynamics that have
previously<00:16:58.030> not<00:16:58.120> been<00:16:58.270> seen<00:16:58.720> it's<00:16:59.020> like
previously not been seen it's like
previously not been seen it's like
building<00:16:59.350> a<00:16:59.710> microscope<00:17:00.280> or<00:17:00.460> telescope<00:17:00.490> and
building a microscope or telescope and
building a microscope or telescope and
revealing<00:17:01.420> new<00:17:01.630> structures<00:17:02.080> about<00:17:02.710> our<00:17:02.830> own
revealing new structures about our own
revealing new structures about our own
behavior<00:17:03.300> around<00:17:04.300> communication<00:17:05.079> and<00:17:05.339> I
behavior around communication and I
behavior around communication and I
think<00:17:06.520> the<00:17:06.640> implications<00:17:07.270> here<00:17:07.420> are<00:17:07.570> profound
think the implications here are profound
think the implications here are profound
whether<00:17:09.579> it's<00:17:09.820> for<00:17:10.089> science
whether it's for science
whether it's for science
for<00:17:10.930> commerce<00:17:11.170> for<00:17:11.650> government<00:17:12.040> or<00:17:12.820> perhaps
for commerce for government or perhaps
for commerce for government or perhaps
most<00:17:13.449> of<00:17:13.600> all<00:17:14.250> for<00:17:15.250> us<00:17:15.370> as<00:17:15.550> individuals<00:17:16.120> and<00:17:16.570> so
most of all for us as individuals and so
most of all for us as individuals and so
just<00:17:17.620> to<00:17:18.190> return<00:17:18.579> to<00:17:19.150> my<00:17:19.300> son<00:17:19.570> when<00:17:19.810> I<00:17:20.650> was
just to return to my son when I was
just to return to my son when I was
preparing<00:17:21.220> this<00:17:21.430> talk<00:17:21.490> he<00:17:22.030> was<00:17:22.089> looking<00:17:22.390> over
preparing this talk he was looking over
preparing this talk he was looking over
my<00:17:22.660> shoulder<00:17:23.110> and<00:17:23.680> I<00:17:23.800> showed<00:17:24.070> him<00:17:24.130> the<00:17:24.280> clips<00:17:24.550> I
my shoulder and I showed him the clips I
my shoulder and I showed him the clips I
was<00:17:24.760> gonna<00:17:24.850> show<00:17:25.120> to<00:17:25.690> you<00:17:25.810> today<00:17:26.140> and<00:17:26.320> I<00:17:26.410> asked
was gonna show to you today and I asked
was gonna show to you today and I asked
him<00:17:26.770> for<00:17:26.890> permission<00:17:27.040> granted
him for permission granted
him for permission granted
and<00:17:28.480> and<00:17:29.440> then<00:17:29.680> I<00:17:29.710> went<00:17:29.920> on<00:17:30.070> to<00:17:30.340> reflect<00:17:30.760> isn't
and and then I went on to reflect isn't
and and then I went on to reflect isn't
it<00:17:31.210> amazing
it amazing
it amazing
this<00:17:33.090> entire<00:17:34.260> database<00:17:35.260> all<00:17:35.560> these
this entire database all these
this entire database all these
recordings<00:17:36.520> I'm<00:17:36.850> gonna<00:17:37.030> hand<00:17:37.210> up<00:17:37.300> to<00:17:37.390> you<00:17:37.510> and
recordings I'm gonna hand up to you and
recordings I'm gonna hand up to you and
to<00:17:37.870> your<00:17:38.020> sister<00:17:38.410> who<00:17:39.070> arrived<00:17:39.370> two<00:17:39.820> years
to your sister who arrived two years
to your sister who arrived two years
later<00:17:40.240> and<00:17:41.050> you<00:17:41.830> guys<00:17:42.010> are<00:17:42.160> gonna<00:17:42.280> be<00:17:42.340> able<00:17:42.430> to
later and you guys are gonna be able to
later and you guys are gonna be able to
go<00:17:42.640> back<00:17:42.850> and<00:17:43.260> re-experience<00:17:44.260> moments<00:17:44.890> that
go back and re-experience moments that
go back and re-experience moments that
you<00:17:45.100> could<00:17:45.280> never<00:17:45.490> with<00:17:45.760> your<00:17:45.910> biological
you could never with your biological
you could never with your biological
memory<00:17:47.400> possibly<00:17:48.400> remember<00:17:48.610> the<00:17:48.820> way<00:17:48.910> you<00:17:48.940> can
memory possibly remember the way you can
memory possibly remember the way you can
now<00:17:49.510> and<00:17:49.990> he<00:17:50.110> was<00:17:50.230> quiet<00:17:50.530> for<00:17:50.740> a<00:17:50.770> moment<00:17:50.860> I
now and he was quiet for a moment I
now and he was quiet for a moment I
thought<00:17:51.280> what<00:17:51.430> am<00:17:51.520> I<00:17:51.580> thinking<00:17:51.610> he's<00:17:52.060> he's
thought what am I thinking he's he's
thought what am I thinking he's he's
five<00:17:52.570> years<00:17:52.600> old<00:17:52.960> he's<00:17:53.230> not<00:17:53.620> gonna<00:17:53.740> understand
five years old he's not gonna understand
five years old he's not gonna understand
this<00:17:54.400> and<00:17:54.760> just<00:17:55.510> as<00:17:55.600> I<00:17:55.750> was<00:17:55.810> having<00:17:56.320> that
this and just as I was having that
this and just as I was having that
thought<00:17:56.620> he<00:17:56.770> looked<00:17:56.920> up<00:17:57.100> at<00:17:57.220> me<00:17:57.250> and<00:17:57.400> said<00:17:57.700> so
thought he looked up at me and said so
thought he looked up at me and said so
that<00:17:59.680> when<00:17:59.830> I<00:17:59.860> grow<00:18:00.190> up<00:18:00.220> I<00:18:00.520> can<00:18:00.730> show<00:18:00.910> this<00:18:01.060> to
that when I grow up I can show this to
that when I grow up I can show this to
my<00:18:01.330> kids<00:18:01.630> and<00:18:02.440> I<00:18:03.340> thought<00:18:03.520> wow<00:18:03.700> this<00:18:03.910> is<00:18:03.970> this
my kids and I thought wow this is this
my kids and I thought wow this is this
is<00:18:04.660> powerful<00:18:05.170> stuff<00:18:05.200> so<00:18:06.040> I<00:18:06.340> want<00:18:07.210> to<00:18:07.240> leave<00:18:07.420> you
is powerful stuff so I want to leave you
is powerful stuff so I want to leave you
with<00:18:07.750> one<00:18:07.780> last<00:18:08.880> memorable<00:18:09.880> moment<00:18:10.270> from<00:18:10.390> our
with one last memorable moment from our
with one last memorable moment from our
family<00:18:11.190> this<00:18:12.190> is<00:18:12.370> our<00:18:12.780> the<00:18:13.780> first<00:18:13.960> time<00:18:14.200> our
family this is our the first time our
family this is our the first time our
son<00:18:14.530> took<00:18:14.770> more<00:18:15.490> than<00:18:15.520> two<00:18:15.820> steps<00:18:16.090> at<00:18:16.270> once
son took more than two steps at once
son took more than two steps at once
captured<00:18:17.500> on<00:18:18.040> film<00:18:18.100> and<00:18:18.520> I<00:18:19.480> really<00:18:20.440> want<00:18:20.860> you
captured on film and I really want you
captured on film and I really want you
to<00:18:21.160> focus<00:18:21.430> on<00:18:21.700> something<00:18:22.150> as<00:18:22.270> I<00:18:22.420> take<00:18:22.930> you
to focus on something as I take you
to focus on something as I take you
through<00:18:23.110> it's<00:18:23.410> a<00:18:23.470> cluttered<00:18:23.860> environment<00:18:24.430> its
through it's a cluttered environment its
through it's a cluttered environment its
natural<00:18:25.120> life<00:18:25.380> my<00:18:26.380> mother's<00:18:26.710> in<00:18:26.860> the<00:18:26.890> kitchen
natural life my mother's in the kitchen
natural life my mother's in the kitchen
cooking<00:18:27.670> and<00:18:27.790> of<00:18:27.910> all<00:18:28.060> places<00:18:28.360> in<00:18:28.630> the<00:18:28.720> hallway
cooking and of all places in the hallway
cooking and of all places in the hallway
I<00:18:29.350> realize<00:18:29.860> he's<00:18:30.520> about<00:18:30.730> to<00:18:30.910> do<00:18:31.030> it<00:18:31.180> about<00:18:31.900> to
I realize he's about to do it about to
I realize he's about to do it about to
take<00:18:32.230> more<00:18:32.440> than<00:18:32.530> two<00:18:32.680> steps<00:18:32.950> and<00:18:33.160> so<00:18:33.310> you<00:18:33.370> hear
take more than two steps and so you hear
take more than two steps and so you hear
me<00:18:33.880> encouraging<00:18:34.540> him<00:18:35.010> realizing<00:18:36.010> what's
me encouraging him realizing what's
me encouraging him realizing what's
happening<00:18:36.610> and<00:18:36.760> then<00:18:36.940> the<00:18:37.120> magic<00:18:37.510> happens
happening and then the magic happens
happening and then the magic happens
listen<00:18:38.350> very<00:18:38.530> carefully<00:18:38.830> about<00:18:39.460> three<00:18:39.730> steps
listen very carefully about three steps
listen very carefully about three steps
in<00:18:40.290> he<00:18:41.290> realizes
in he realizes
in he realizes
something<00:18:42.770> magic<00:18:43.190> is<00:18:43.309> happening<00:18:43.460> and<00:18:43.940> the
something magic is happening and the
something magic is happening and the
most<00:18:45.080> amazing<00:18:45.820> feedback<00:18:46.820> loop<00:18:47.090> of<00:18:47.210> all<00:18:47.390> kicks
most amazing feedback loop of all kicks
most amazing feedback loop of all kicks
in<00:18:47.900> and<00:18:48.169> he<00:18:48.289> takes<00:18:48.530> a<00:18:48.650> breath<00:18:48.830> in<00:18:49.070> and<00:18:49.220> he
in and he takes a breath in and he
in and he takes a breath in and he
whispers<00:18:50.270> Wow<00:18:51.080> and<00:18:52.059> instinctively<00:18:53.059> I<00:18:53.179> echo<00:18:53.780> I
whispers Wow and instinctively I echo I
whispers Wow and instinctively I echo I
echo<00:18:55.130> back<00:18:55.309> the<00:18:55.580> same
echo back the same
echo back the same
so<00:18:57.049> let's<00:18:57.289> fly<00:18:58.100> back<00:18:58.340> in<00:18:58.549> time<00:18:58.630> to<00:18:59.630> that
so let's fly back in time to that
so let's fly back in time to that
memorable<00:19:00.440> moment<00:19:21.700> nice<00:19:22.700> walking
memorable moment nice walking
memorable moment nice walking
[Music]
[Music]
[Music]
[Applause]
when<00:19:54.809> I<00:19:54.840> think<00:19:55.140> about<00:19:55.290> succeeding<00:19:55.650> in
when I think about succeeding in
when I think about succeeding in
business<00:19:56.280> I<00:19:56.429> think<00:19:56.640> there's<00:19:56.820> a<00:19:57.030> couple<00:19:57.210> of
business I think there's a couple of
business I think there's a couple of
considerations<00:19:58.410> first<00:19:59.309> and<00:19:59.460> foremost<00:19:59.760> is
considerations first and foremost is
considerations first and foremost is
teamwork<00:20:00.150> today's<00:20:00.960> problems<00:20:01.440> are<00:20:01.620> just<00:20:01.770> too
teamwork today's problems are just too
teamwork today's problems are just too
complicated<00:20:02.670> to<00:20:03.030> be<00:20:03.150> solved<00:20:03.600> as<00:20:03.750> an
complicated to be solved as an
complicated to be solved as an
individual<00:20:04.620> and<00:20:04.830> the<00:20:04.950> opportunity<00:20:05.490> to<00:20:05.520> work
individual and the opportunity to work
individual and the opportunity to work
with<00:20:05.910> others<00:20:06.440> collaboratively<00:20:07.440> where<00:20:07.679> you
with others collaboratively where you
with others collaboratively where you
can<00:20:07.920> build<00:20:08.100> on<00:20:08.190> each<00:20:08.220> other's<00:20:08.580> ideas<00:20:08.700> I<00:20:09.090> think
can build on each other's ideas I think
can build on each other's ideas I think
is<00:20:09.390> particularly<00:20:09.750> important<00:20:10.350> I<00:20:10.470> think<00:20:10.710> a
is particularly important I think a
is particularly important I think a
second<00:20:11.250> area<00:20:11.400> that's<00:20:11.880> quite<00:20:12.120> important<00:20:12.660> is
second area that's quite important is
second area that's quite important is
the<00:20:13.260> understanding<00:20:14.040> of<00:20:14.220> different
the understanding of different
the understanding of different
disciplines<00:20:15.690> it<00:20:15.929> is<00:20:16.049> critical<00:20:16.530> that<00:20:16.559> one<00:20:17.010> be
disciplines it is critical that one be
disciplines it is critical that one be
an<00:20:17.250> expert<00:20:17.669> in<00:20:18.150> your<00:20:18.600> major<00:20:18.870> but<00:20:19.559> it<00:20:19.710> is
an expert in your major but it is
an expert in your major but it is
absolutely<00:20:20.490> essential<00:20:20.790> that<00:20:21.240> you<00:20:21.450> have<00:20:21.480> the
absolutely essential that you have the
absolutely essential that you have the
ability<00:20:21.750> to<00:20:22.610> understand<00:20:23.610> where<00:20:24.150> other
ability to understand where other
ability to understand where other
disciplines<00:20:25.080> the<00:20:25.380> input<00:20:25.679> from<00:20:25.950> other
disciplines the input from other
disciplines the input from other
disciplines<00:20:26.370> and<00:20:26.910> be<00:20:26.970> able<00:20:27.059> to<00:20:27.210> incorporate
disciplines and be able to incorporate
disciplines and be able to incorporate
that<00:20:28.140> to<00:20:28.410> make<00:20:29.070> effective<00:20:29.520> decisions<00:20:29.580> and
that to make effective decisions and
that to make effective decisions and
then<00:20:30.840> last<00:20:31.080> but<00:20:31.290> not<00:20:31.410> least<00:20:31.770> we<00:20:32.429> are<00:20:32.610> in<00:20:32.850> a
then last but not least we are in a
then last but not least we are in a
global<00:20:33.090> business<00:20:33.720> community<00:20:34.169> and<00:20:34.380> so<00:20:34.650> the
global business community and so the
global business community and so the
opportunity<00:20:35.460> to<00:20:35.840> understand<00:20:37.490> cultures
opportunity to understand cultures
opportunity to understand cultures
different<00:20:38.880> cultures<00:20:39.299> around<00:20:39.480> the<00:20:39.720> world<00:20:39.780> to
different cultures around the world to
different cultures around the world to
be<00:20:40.290> able<00:20:40.440> to<00:20:40.559> incorporate<00:20:40.919> some<00:20:41.429> of<00:20:41.790> the
be able to incorporate some of the
be able to incorporate some of the
learning<00:20:42.480> from<00:20:42.660> those<00:20:42.780> cultures<00:20:43.320> and<00:20:43.559> to
learning from those cultures and to
learning from those cultures and to
incorporate<00:20:44.130> that<00:20:44.460> into<00:20:44.669> your<00:20:44.790> business
incorporate that into your business
incorporate that into your business
decisions<00:20:45.720> is<00:20:45.900> essential<00:20:46.350> to<00:20:46.500> success<00:20:46.919> I<00:20:47.220> have
decisions is essential to success I have
decisions is essential to success I have
three<00:20:47.940> degrees<00:20:48.059> from<00:20:48.360> Cornell<00:20:48.750> so<00:20:48.870> I'd<00:20:49.020> say
three degrees from Cornell so I'd say
three degrees from Cornell so I'd say
just<00:20:49.559> about<00:20:49.679> everything<00:20:50.280> that<00:20:50.309> has<00:20:50.640> prepared
just about everything that has prepared
just about everything that has prepared
me<00:20:51.240> came<00:20:51.419> from<00:20:51.450> Cornell<00:20:52.020> and<00:20:52.200> I<00:20:52.380> am<00:20:52.559> indebted
me came from Cornell and I am indebted
me came from Cornell and I am indebted
to<00:20:53.160> the<00:20:53.580> University<00:20:54.120> for<00:20:54.240> that<00:20:54.390> experience
to the University for that experience
to the University for that experience
but<00:20:55.470> as<00:20:55.559> I<00:20:55.650> think<00:20:55.860> particularly<00:20:56.400> about<00:20:56.669> my
but as I think particularly about my
but as I think particularly about my
business<00:20:57.120> school<00:20:57.540> career<00:20:58.080> I<00:20:58.320> think<00:20:58.980> the
business school career I think the
business school career I think the
exposure<00:20:59.640> to<00:21:00.150> a<00:21:00.179> variety<00:21:00.600> of<00:21:00.870> disciplines<00:21:01.500> the
exposure to a variety of disciplines the
exposure to a variety of disciplines the
wealth<00:21:02.190> of<00:21:02.370> resources<00:21:03.000> across<00:21:03.120> the
wealth of resources across the
wealth of resources across the
university
university
university
we're<00:21:04.500> exceptionally<00:21:05.070> helpful
TEDEducation TED-Ed TED Ed, Deb, Roy, speech, MIT, language, learn, language, talk, child, talk, first, words
