Your brain on video games - Daphne Bavelier
[Music]
[Music]
I'm<00:00:16.440> a<00:00:16.560> brain<00:00:16.800> scientist<00:00:17.720> and<00:00:18.080> as<00:00:18.199> a<00:00:18.320> brain
I'm a brain scientist and as a brain
I'm a brain scientist and as a brain
scientist<00:00:19.240> I'm<00:00:19.439> actually<00:00:19.680> interested<00:00:20.199> in<00:00:20.560> how
scientist I'm actually interested in how
scientist I'm actually interested in how
the<00:00:21.000> brain<00:00:21.720> learns<00:00:22.720> and<00:00:22.880> I'm<00:00:23.080> especially
the brain learns and I'm especially
the brain learns and I'm especially
interested<00:00:23.800> in<00:00:23.920> the<00:00:24.199> possibility<00:00:25.119> of<00:00:25.400> making
interested in the possibility of making
interested in the possibility of making
our<00:00:26.160> brains<00:00:26.920> smarter<00:00:27.840> better<00:00:28.480> and<00:00:28.960> faster
our brains smarter better and faster
our brains smarter better and faster
this<00:00:30.599> is<00:00:30.720> in<00:00:30.920> this<00:00:31.160> context<00:00:31.800> I'm<00:00:31.960> going<00:00:32.119> to
this is in this context I'm going to
this is in this context I'm going to
tell<00:00:32.559> you<00:00:32.880> about<00:00:33.320> video<00:00:33.719> games<00:00:34.520> when<00:00:34.680> we<00:00:34.800> say
tell you about video games when we say
tell you about video games when we say
video<00:00:35.360> game<00:00:35.640> most<00:00:35.840> of<00:00:36.000> you<00:00:36.280> think<00:00:36.760> about
video game most of you think about
video game most of you think about
children<00:00:38.280> it's<00:00:38.520> true<00:00:39.399> 90%<00:00:40.079> of<00:00:40.239> children<00:00:40.640> do
children it's true 90% of children do
children it's true 90% of children do
play<00:00:41.160> video<00:00:41.760> games<00:00:42.760> but<00:00:43.640> let's<00:00:43.879> be<00:00:44.399> frank<00:00:45.399> when
play video games but let's be frank when
play video games but let's be frank when
the<00:00:45.800> kids<00:00:46.079> are<00:00:46.239> in<00:00:46.520> bed<00:00:47.520> who<00:00:47.840> is<00:00:48.079> in<00:00:48.239> front<00:00:48.480> of
the kids are in bed who is in front of
the kids are in bed who is in front of
the
the
the
PlayStation<00:00:50.600> most<00:00:50.960> of<00:00:51.239> you<00:00:52.120> the<00:00:52.520> average<00:00:53.280> age
PlayStation most of you the average age
PlayStation most of you the average age
of<00:00:53.800> a<00:00:54.120> gamer<00:00:54.719> is<00:00:55.000> 33<00:00:55.879> years<00:00:56.160> old<00:00:56.520> not<00:00:56.800> eight
of a gamer is 33 years old not eight
of a gamer is 33 years old not eight
years<00:00:57.440> old<00:00:58.399> and<00:00:58.600> in<00:00:58.800> fact<00:00:59.079> if<00:00:59.199> we<00:00:59.320> look<00:00:59.440> at<00:00:59.559> the
years old and in fact if we look at the
years old and in fact if we look at the
rejected<00:01:00.359> demographics<00:01:01.280> of<00:01:01.519> video<00:01:01.840> game<00:01:02.160> play
rejected demographics of video game play
rejected demographics of video game play
the<00:01:03.160> video<00:01:03.440> game<00:01:03.680> players<00:01:04.040> of<00:01:04.280> Tomorrow<00:01:05.479> are
the video game players of Tomorrow are
the video game players of Tomorrow are
older
older
older
adults<00:01:09.000> so<00:01:09.320> video<00:01:09.680> games<00:01:09.920> is<00:01:10.400> pervasive
adults so video games is pervasive
adults so video games is pervasive
throughout<00:01:11.880> our<00:01:12.360> society<00:01:13.360> it<00:01:13.520> is<00:01:13.880> clearly
throughout our society it is clearly
throughout our society it is clearly
here<00:01:14.640> to<00:01:15.000> stay<00:01:16.000> it<00:01:16.119> has<00:01:16.280> an<00:01:16.520> amazing<00:01:17.320> impact<00:01:18.080> on
here to stay it has an amazing impact on
here to stay it has an amazing impact on
our<00:01:18.439> everyday<00:01:18.920> life<00:01:19.600> consider<00:01:20.119> these
our everyday life consider these
our everyday life consider these
statistics<00:01:21.240> released<00:01:22.079> by<00:01:22.640> activ<00:01:23.400> Vision
statistics released by activ Vision
statistics released by activ Vision
after<00:01:24.960> one<00:01:25.400> month<00:01:26.200> of<00:01:26.560> release<00:01:27.040> of<00:01:27.240> the<00:01:27.680> game
after one month of release of the game
after one month of release of the game
Call<00:01:28.240> of<00:01:28.439> Duty<00:01:28.920> Black<00:01:29.240> Ops<00:01:30.159> it<00:01:30.360> had<00:01:30.560> been
Call of Duty Black Ops it had been
Call of Duty Black Ops it had been
played<00:01:31.280> for
played for
played for
68,000<00:01:33.560> years<00:01:34.560> worldwide
68,000 years worldwide
68,000 years worldwide
right<00:01:37.200> would<00:01:37.479> any<00:01:37.680> of<00:01:37.880> you<00:01:38.119> complain<00:01:38.640> if<00:01:38.840> this
right would any of you complain if this
right would any of you complain if this
was<00:01:39.159> a<00:01:39.360> case<00:01:39.640> about<00:01:39.880> doing<00:01:40.119> linear
was a case about doing linear
was a case about doing linear
algebra<00:01:42.880> so<00:01:43.079> what<00:01:43.240> are<00:01:43.360> we<00:01:43.560> asking<00:01:43.799> in<00:01:43.920> the<00:01:44.040> lab
algebra so what are we asking in the lab
algebra so what are we asking in the lab
is<00:01:44.520> how<00:01:44.719> can<00:01:44.920> we<00:01:45.119> leverage<00:01:45.680> that<00:01:46.280> power<00:01:47.280> now<00:01:47.399> I
is how can we leverage that power now I
is how can we leverage that power now I
want<00:01:47.640> to<00:01:47.759> step<00:01:48.040> back<00:01:48.200> a<00:01:48.360> bit<00:01:49.159> I<00:01:49.240> know<00:01:49.600> most<00:01:49.840> of
want to step back a bit I know most of
want to step back a bit I know most of
you<00:01:50.200> have<00:01:50.399> had<00:01:50.560> the<00:01:50.719> experience<00:01:51.360> of<00:01:51.560> coming
you have had the experience of coming
you have had the experience of coming
back<00:01:52.320> home<00:01:52.840> and<00:01:53.000> finding<00:01:53.439> your<00:01:53.680> kids<00:01:54.200> playing
back home and finding your kids playing
back home and finding your kids playing
these<00:01:54.840> kind<00:01:55.000> of
these kind of
these kind of
games<00:01:57.119> the<00:01:57.240> name<00:01:57.479> of<00:01:57.600> the<00:01:57.799> game<00:01:58.159> is<00:01:58.320> to<00:01:58.560> get
games the name of the game is to get
games the name of the game is to get
after<00:01:59.479> your<00:01:59.960> enemy<00:02:00.560> zombie<00:02:01.159> bad<00:02:01.479> guys<00:02:02.000> before
after your enemy zombie bad guys before
after your enemy zombie bad guys before
they<00:02:02.560> get<00:02:02.719> to<00:02:02.920> you
they get to you
they get to you
right<00:02:06.000> and<00:02:06.719> I'm<00:02:06.920> almost<00:02:07.200> sure<00:02:07.520> most<00:02:07.719> of<00:02:07.920> you
right and I'm almost sure most of you
right and I'm almost sure most of you
have<00:02:08.239> thought<00:02:08.720> oh<00:02:09.039> come<00:02:09.200> on<00:02:09.679> can't<00:02:09.920> you<00:02:10.039> do
have thought oh come on can't you do
have thought oh come on can't you do
something<00:02:10.560> more<00:02:11.239> intelligent<00:02:12.239> than<00:02:12.440> shooting
something more intelligent than shooting
something more intelligent than shooting
at
at
at
zombies<00:02:15.720> I'd<00:02:15.920> like<00:02:16.120> you<00:02:16.239> to<00:02:16.480> put<00:02:16.720> this<00:02:17.040> kind<00:02:17.200> of
zombies I'd like you to put this kind of
zombies I'd like you to put this kind of
knee-jerk<00:02:17.879> reaction<00:02:18.680> in<00:02:18.800> the<00:02:19.080> context<00:02:19.560> of
knee-jerk reaction in the context of
knee-jerk reaction in the context of
what<00:02:19.920> you<00:02:20.040> would<00:02:20.239> have<00:02:20.480> thought<00:02:21.040> if<00:02:21.120> you<00:02:21.280> had
what you would have thought if you had
what you would have thought if you had
found<00:02:21.920> your<00:02:22.160> girl<00:02:22.720> playing
found your girl playing
found your girl playing
sudoku<00:02:24.959> or<00:02:25.239> your<00:02:25.519> boy<00:02:26.000> reading<00:02:26.760> Shakespeare
sudoku or your boy reading Shakespeare
sudoku or your boy reading Shakespeare
right<00:02:29.080> most<00:02:29.360> parents<00:02:29.599> would<00:02:29.959> find<00:02:30.160> that<00:02:30.920> great
right most parents would find that great
right most parents would find that great
well<00:02:32.120> I'm<00:02:32.239> not<00:02:32.480> going<00:02:32.640> to<00:02:32.920> tell<00:02:33.200> you<00:02:33.840> that
well I'm not going to tell you that
well I'm not going to tell you that
playing<00:02:34.720> video<00:02:35.080> games<00:02:35.519> days<00:02:35.840> in<00:02:36.120> and<00:02:36.319> days<00:02:36.599> out
playing video games days in and days out
playing video games days in and days out
is<00:02:37.239> actually<00:02:37.560> good<00:02:37.720> for<00:02:37.920> your<00:02:38.080> health<00:02:38.879> it's
is actually good for your health it's
is actually good for your health it's
not<00:02:39.560> and<00:02:39.720> binging<00:02:40.319> is<00:02:40.480> never<00:02:40.840> good<00:02:41.640> but<00:02:41.879> I'm
not and binging is never good but I'm
not and binging is never good but I'm
going<00:02:42.319> to<00:02:42.599> argue<00:02:43.319> that<00:02:43.560> in<00:02:43.800> reasonable<00:02:44.480> doses
going to argue that in reasonable doses
going to argue that in reasonable doses
actually<00:02:45.640> the<00:02:45.879> very<00:02:46.319> game<00:02:46.840> I<00:02:46.959> showed<00:02:47.319> you<00:02:47.480> at
actually the very game I showed you at
actually the very game I showed you at
the<00:02:47.760> beginning<00:02:48.239> those<00:02:48.680> action-packed
the beginning those action-packed
the beginning those action-packed
shooter<00:02:50.040> games<00:02:51.040> have<00:02:51.640> quite<00:02:52.519> powerful
shooter games have quite powerful
shooter games have quite powerful
effects<00:02:53.599> and<00:02:54.000> positive<00:02:54.480> effects<00:02:55.040> on<00:02:55.280> many
effects and positive effects on many
effects and positive effects on many
different<00:02:56.000> aspects<00:02:56.519> of<00:02:56.640> our
different aspects of our
different aspects of our
Behavior<00:02:59.360> there's<00:02:59.560> not<00:02:59.920> one<00:03:00.120> week<00:03:00.400> that<00:03:00.680> goes
Behavior there's not one week that goes
Behavior there's not one week that goes
without<00:03:01.599> some<00:03:01.920> major<00:03:02.360> headlines<00:03:02.959> in<00:03:03.080> the
without some major headlines in the
without some major headlines in the
media<00:03:03.840> about<00:03:04.120> whether<00:03:04.440> video<00:03:04.760> games<00:03:05.040> are<00:03:05.360> good
media about whether video games are good
media about whether video games are good
or<00:03:05.920> bad<00:03:06.200> for<00:03:06.400> you<00:03:06.920> right<00:03:07.799> you're<00:03:07.920> all
or bad for you right you're all
or bad for you right you're all
bombarded<00:03:08.799> with<00:03:09.239> that<00:03:10.239> I'd<00:03:10.440> like<00:03:10.680> to<00:03:10.920> put<00:03:11.239> this
bombarded with that I'd like to put this
bombarded with that I'd like to put this
kind<00:03:11.720> of<00:03:12.000> Friday<00:03:12.560> night<00:03:13.000> bar<00:03:13.720> discussion
kind of Friday night bar discussion
kind of Friday night bar discussion
aside<00:03:15.640> and<00:03:15.879> get<00:03:16.040> you<00:03:16.159> to<00:03:16.360> actually<00:03:16.599> step<00:03:17.040> into
aside and get you to actually step into
aside and get you to actually step into
the<00:03:17.519> lab<00:03:18.360> what<00:03:18.519> we<00:03:18.640> do<00:03:18.799> in<00:03:18.920> the<00:03:19.040> lab<00:03:19.280> is
the lab what we do in the lab is
the lab what we do in the lab is
actually<00:03:19.799> measure<00:03:20.599> directly<00:03:21.319> in<00:03:21.440> a
actually measure directly in a
actually measure directly in a
quantitative<00:03:22.360> fashion<00:03:22.959> what<00:03:23.120> is<00:03:23.280> the<00:03:23.599> impact
quantitative fashion what is the impact
quantitative fashion what is the impact
of<00:03:24.720> video<00:03:25.120> games<00:03:25.519> on<00:03:25.680> the<00:03:26.280> brain<00:03:27.280> and<00:03:27.400> so<00:03:27.560> I'm
of video games on the brain and so I'm
of video games on the brain and so I'm
going<00:03:27.840> to<00:03:27.959> take<00:03:28.080> a<00:03:28.200> few<00:03:28.439> examples<00:03:28.959> from<00:03:29.159> our
going to take a few examples from our
going to take a few examples from our
work
work
work
one<00:03:30.640> first<00:03:31.040> saying<00:03:31.519> that<00:03:31.720> I'm<00:03:31.840> sure<00:03:32.080> you<00:03:32.280> all
one first saying that I'm sure you all
one first saying that I'm sure you all
have<00:03:32.720> heard<00:03:33.200> is<00:03:33.319> the<00:03:33.560> fact<00:03:33.799> that<00:03:34.000> too<00:03:34.200> much
have heard is the fact that too much
have heard is the fact that too much
screen<00:03:34.920> time<00:03:35.480> makes<00:03:35.760> your<00:03:36.000> eyesight
screen time makes your eyesight
screen time makes your eyesight
worse<00:03:38.280> that's<00:03:38.439> a<00:03:38.640> statement<00:03:39.120> about<00:03:39.519> Vision
worse that's a statement about Vision
worse that's a statement about Vision
there<00:03:40.599> may<00:03:40.760> be<00:03:40.920> Vision<00:03:41.239> scientists<00:03:41.799> among<00:03:42.120> you
there may be Vision scientists among you
there may be Vision scientists among you
we<00:03:43.080> actually<00:03:43.360> know<00:03:43.680> how<00:03:43.840> to<00:03:44.080> test<00:03:44.360> that
we actually know how to test that
we actually know how to test that
statement<00:03:45.439> we<00:03:45.560> can<00:03:45.799> step<00:03:46.000> in<00:03:46.159> into<00:03:46.360> the<00:03:46.480> lab
statement we can step in into the lab
statement we can step in into the lab
and<00:03:46.879> measure<00:03:47.239> how<00:03:47.400> good<00:03:47.560> your<00:03:47.720> vision<00:03:48.480> is<00:03:49.480> well
and measure how good your vision is well
and measure how good your vision is well
guess<00:03:50.200> what<00:03:51.200> people<00:03:51.599> that<00:03:51.879> don't<00:03:52.239> play<00:03:52.519> a<00:03:52.640> lot
guess what people that don't play a lot
guess what people that don't play a lot
of<00:03:52.959> action<00:03:53.319> games<00:03:53.680> that<00:03:53.840> don't<00:03:54.200> actually
of action games that don't actually
of action games that don't actually
spend<00:03:55.040> a<00:03:55.159> lot<00:03:55.319> of<00:03:55.480> time<00:03:55.680> in<00:03:55.840> front<00:03:56.239> of<00:03:56.840> screens
spend a lot of time in front of screens
spend a lot of time in front of screens
have<00:03:58.200> normal<00:03:58.680> or<00:03:58.840> what<00:03:58.959> we<00:03:59.079> call<00:03:59.239> corrected<00:03:59.760> to
have normal or what we call corrected to
have normal or what we call corrected to
normal<00:04:00.239> vision<00:04:00.879> that's<00:04:01.239> okay<00:04:01.959> the<00:04:02.079> issue<00:04:02.360> is
normal vision that's okay the issue is
normal vision that's okay the issue is
what<00:04:02.760> happens<00:04:03.120> with<00:04:03.280> these<00:04:03.599> guys<00:04:03.879> that
what happens with these guys that
what happens with these guys that
actually<00:04:04.400> indulge<00:04:05.000> into<00:04:05.360> playing<00:04:05.720> video
actually indulge into playing video
actually indulge into playing video
games<00:04:06.400> like<00:04:06.640> 5<00:04:06.879> hours<00:04:07.200> per<00:04:07.400> week<00:04:07.760> 10<00:04:07.920> hours<00:04:08.239> per
games like 5 hours per week 10 hours per
games like 5 hours per week 10 hours per
week<00:04:08.640> 15<00:04:09.000> hours<00:04:09.280> per<00:04:09.439> week<00:04:09.720> by<00:04:09.840> that<00:04:10.040> statement
week 15 hours per week by that statement
week 15 hours per week by that statement
their<00:04:10.599> Vision<00:04:10.840> should<00:04:11.000> be<00:04:11.200> really<00:04:11.439> bad<00:04:11.840> right
their Vision should be really bad right
their Vision should be really bad right
guess<00:04:13.040> what<00:04:13.200> their<00:04:13.360> vision<00:04:13.599> is<00:04:13.920> really<00:04:14.280> really
guess what their vision is really really
guess what their vision is really really
good<00:04:15.239> it's<00:04:15.480> better<00:04:15.959> than<00:04:16.199> those<00:04:16.359> that<00:04:16.519> don't
good it's better than those that don't
good it's better than those that don't
play<00:04:17.759> and<00:04:17.880> it's<00:04:18.079> better<00:04:18.359> in<00:04:18.519> two<00:04:18.759> different
play and it's better in two different
play and it's better in two different
ways<00:04:20.239> the<00:04:20.440> first<00:04:20.799> way<00:04:20.959> is<00:04:21.079> that<00:04:21.239> they're
ways the first way is that they're
ways the first way is that they're
actually<00:04:21.680> able<00:04:21.919> to<00:04:22.120> resolve<00:04:22.560> small<00:04:23.000> detail<00:04:23.560> in
actually able to resolve small detail in
actually able to resolve small detail in
the<00:04:23.880> context<00:04:24.240> of<00:04:24.400> clutter<00:04:25.320> so<00:04:25.600> that<00:04:25.720> means
the context of clutter so that means
the context of clutter so that means
being<00:04:26.400> able<00:04:26.680> to<00:04:27.080> read<00:04:27.400> the<00:04:27.520> fine<00:04:27.919> print<00:04:28.320> on
being able to read the fine print on
being able to read the fine print on
prescription<00:04:30.199> um<00:04:30.919> rather<00:04:31.160> than<00:04:31.320> using
prescription um rather than using
prescription um rather than using
magnifier<00:04:32.320> glasses<00:04:33.080> you<00:04:33.199> can<00:04:33.400> actually<00:04:33.720> do<00:04:33.960> it
magnifier glasses you can actually do it
magnifier glasses you can actually do it
with<00:04:34.600> just<00:04:34.759> your<00:04:35.120> eyesight<00:04:36.120> the<00:04:36.280> other<00:04:36.520> way
with just your eyesight the other way
with just your eyesight the other way
that<00:04:36.840> they<00:04:36.960> are<00:04:37.160> better<00:04:37.560> is<00:04:37.800> actually<00:04:38.039> being
that they are better is actually being
that they are better is actually being
able<00:04:38.520> to<00:04:38.759> resolve<00:04:39.759> um<00:04:40.039> different<00:04:40.320> levels<00:04:40.680> of
able to resolve um different levels of
able to resolve um different levels of
gray<00:04:41.479> imagine<00:04:41.840> you're<00:04:42.039> driving<00:04:42.440> in<00:04:42.560> a<00:04:42.919> fog
gray imagine you're driving in a fog
gray imagine you're driving in a fog
that<00:04:44.080> makes<00:04:44.280> a<00:04:44.479> difference<00:04:45.160> between<00:04:45.680> seeing
that makes a difference between seeing
that makes a difference between seeing
the<00:04:46.080> car<00:04:46.240> in<00:04:46.360> front<00:04:46.520> of<00:04:46.720> you<00:04:47.360> and<00:04:47.600> avoiding<00:04:48.000> the
the car in front of you and avoiding the
the car in front of you and avoiding the
accident<00:04:48.680> or<00:04:48.880> getting<00:04:49.199> into<00:04:49.440> an<00:04:49.960> accident<00:04:50.960> so
accident or getting into an accident so
accident or getting into an accident so
we're<00:04:51.280> actually<00:04:51.520> leveraging<00:04:52.080> that<00:04:52.280> work<00:04:52.680> to
we're actually leveraging that work to
we're actually leveraging that work to
develop<00:04:53.479> games<00:04:54.080> for<00:04:54.880> patients<00:04:55.600> with<00:04:56.120> low
develop games for patients with low
develop games for patients with low
vision<00:04:57.479> and<00:04:57.639> to<00:04:57.840> have<00:04:57.960> an<00:04:58.199> impact<00:04:58.600> on
vision and to have an impact on
vision and to have an impact on
retraining<00:04:59.840> brain<00:05:00.199> to<00:05:00.360> see
retraining brain to see
retraining brain to see
better<00:05:02.759> clearly<00:05:03.400> when<00:05:03.560> it<00:05:03.759> comes<00:05:04.080> to<00:05:04.440> action
better clearly when it comes to action
better clearly when it comes to action
video<00:05:05.039> gam<00:05:05.400> screen<00:05:05.800> time<00:05:06.320> doesn't<00:05:06.639> make<00:05:06.800> your
video gam screen time doesn't make your
video gam screen time doesn't make your
eyesight<00:05:07.560> worse<00:05:08.560> another<00:05:09.000> saying<00:05:09.440> that<00:05:09.560> I'm
eyesight worse another saying that I'm
eyesight worse another saying that I'm
sure<00:05:09.919> you<00:05:10.039> have<00:05:10.400> all<00:05:10.639> Heard<00:05:11.479> Around<00:05:12.479> video
sure you have all Heard Around video
sure you have all Heard Around video
games<00:05:13.120> lead<00:05:13.360> to<00:05:13.520> attention<00:05:14.199> problem<00:05:14.720> and
games lead to attention problem and
games lead to attention problem and
greater<00:05:15.320> distractability
greater distractability
greater distractability
okay<00:05:18.000> we<00:05:18.120> know<00:05:18.440> how<00:05:18.600> to<00:05:18.759> measure<00:05:19.120> attention<00:05:19.720> in
okay we know how to measure attention in
okay we know how to measure attention in
the<00:05:20.039> lab<00:05:20.880> I'm<00:05:21.080> actually<00:05:21.280> going<00:05:21.479> to<00:05:21.759> give<00:05:21.880> you
the lab I'm actually going to give you
the lab I'm actually going to give you
an<00:05:22.240> example<00:05:22.800> of<00:05:23.039> how<00:05:23.199> we<00:05:23.360> do<00:05:23.520> so<00:05:24.360> I'm<00:05:24.520> going<00:05:24.680> to
an example of how we do so I'm going to
an example of how we do so I'm going to
ask<00:05:25.080> you<00:05:25.240> to<00:05:25.479> participate<00:05:26.080> so<00:05:26.240> you're<00:05:26.400> going
ask you to participate so you're going
ask you to participate so you're going
to<00:05:26.880> have<00:05:27.039> to<00:05:27.319> actually<00:05:27.759> play<00:05:27.960> the<00:05:28.120> game<00:05:28.360> with
to have to actually play the game with
to have to actually play the game with
me<00:05:29.199> going<00:05:29.360> to<00:05:29.720> show<00:05:29.919> you<00:05:30.160> colored<00:05:30.680> words<00:05:31.680> I
me going to show you colored words I
me going to show you colored words I
want<00:05:32.039> you<00:05:32.240> to<00:05:32.440> shout<00:05:32.880> out<00:05:33.360> the<00:05:33.560> color<00:05:33.880> of<00:05:34.080> the
want you to shout out the color of the
want you to shout out the color of the
ink<00:05:35.560> right<00:05:35.880> so<00:05:36.160> this<00:05:36.280> is<00:05:36.400> the<00:05:36.600> first
example<00:05:40.440> orange<00:05:41.199> good
example orange good
example orange good
green<00:05:43.919> red
green red
green red
yellow<00:05:46.520> red<00:05:47.759> yellow
yellow red yellow
yellow red yellow
green<00:05:50.400> you<00:05:50.600> got<00:05:50.840> my<00:05:51.120> point
right<00:05:55.440> you're<00:05:55.720> getting<00:05:56.000> better<00:05:56.360> but<00:05:56.479> it's
right you're getting better but it's
right you're getting better but it's
hard<00:05:57.400> why<00:05:57.600> is<00:05:57.759> it<00:05:58.000> hard<00:05:58.560> because<00:05:58.800> I<00:05:58.960> introduced
hard why is it hard because I introduced
hard why is it hard because I introduced
a<00:05:59.680> a<00:06:00.280> conflict<00:06:01.280> between<00:06:02.199> the<00:06:02.360> word<00:06:02.759> itself<00:06:03.360> and
a a conflict between the word itself and
a a conflict between the word itself and
its<00:06:04.080> color<00:06:05.080> how<00:06:05.319> good<00:06:05.479> your<00:06:05.720> attention<00:06:06.319> is
its color how good your attention is
its color how good your attention is
determines<00:06:07.319> actually<00:06:07.599> how<00:06:07.800> fast<00:06:08.039> you<00:06:08.160> resolve
determines actually how fast you resolve
determines actually how fast you resolve
that<00:06:08.720> conflict<00:06:09.319> so<00:06:09.520> the<00:06:09.680> young<00:06:10.000> guys<00:06:10.360> here<00:06:10.639> at
that conflict so the young guys here at
that conflict so the young guys here at
the<00:06:10.919> top<00:06:11.120> of<00:06:11.240> their<00:06:11.440> game<00:06:11.800> probably<00:06:12.120> like<00:06:12.479> it<00:06:12.639> a
the top of their game probably like it a
the top of their game probably like it a
little<00:06:12.919> better<00:06:13.199> than<00:06:13.360> some<00:06:13.520> of<00:06:13.639> us<00:06:13.759> that<00:06:13.880> are
little better than some of us that are
little better than some of us that are
older<00:06:15.360> uh<00:06:15.599> what<00:06:15.759> we<00:06:15.880> can<00:06:16.000> show<00:06:16.280> is<00:06:16.400> that<00:06:16.599> when
older uh what we can show is that when
older uh what we can show is that when
you<00:06:16.919> do<00:06:17.120> this<00:06:17.319> kind<00:06:17.479> of<00:06:17.720> task<00:06:18.199> with<00:06:18.400> people
you do this kind of task with people
you do this kind of task with people
that<00:06:18.800> play<00:06:18.960> a<00:06:19.080> lot<00:06:19.199> of<00:06:19.319> action<00:06:19.599> games<00:06:19.880> they
that play a lot of action games they
that play a lot of action games they
actually<00:06:20.240> resolve<00:06:20.599> the<00:06:20.840> conflict
actually resolve the conflict
actually resolve the conflict
faster<00:06:23.599> so<00:06:23.919> clearly<00:06:24.599> playing<00:06:24.919> those<00:06:25.240> action
faster so clearly playing those action
faster so clearly playing those action
games<00:06:25.919> doesn't<00:06:26.240> lead<00:06:26.560> to<00:06:27.080> attentional
games doesn't lead to attentional
games doesn't lead to attentional
problems<00:06:28.800> actually<00:06:29.120> those<00:06:29.599> action<00:06:29.840> video
problems actually those action video
problems actually those action video
game<00:06:30.280> players<00:06:30.720> have<00:06:30.919> many<00:06:31.160> other<00:06:31.360> advantag<00:06:31.880> in
game players have many other advantag in
game players have many other advantag in
terms<00:06:32.199> of<00:06:32.360> attention<00:06:32.800> and<00:06:33.000> one<00:06:33.240> aspect<00:06:33.479> of
terms of attention and one aspect of
terms of attention and one aspect of
attention<00:06:34.080> which<00:06:34.199> is<00:06:34.400> also<00:06:34.759> improved<00:06:35.160> for<00:06:35.319> the
attention which is also improved for the
attention which is also improved for the
better<00:06:36.160> is<00:06:36.319> our<00:06:36.599> ability<00:06:37.039> to<00:06:37.360> track<00:06:38.199> objects
better is our ability to track objects
better is our ability to track objects
around<00:06:39.639> in<00:06:39.800> the<00:06:39.960> world<00:06:40.840> this<00:06:41.000> is<00:06:41.120> something<00:06:41.440> we
around in the world this is something we
around in the world this is something we
use<00:06:41.800> all<00:06:42.000> the<00:06:42.160> time<00:06:42.400> when<00:06:42.520> you're<00:06:42.720> driving
use all the time when you're driving
use all the time when you're driving
you're<00:06:43.960> tracking<00:06:44.599> keeping<00:06:44.919> track<00:06:45.199> of<00:06:45.319> the
you're tracking keeping track of the
you're tracking keeping track of the
cars<00:06:45.840> around<00:06:46.160> you<00:06:46.400> you're<00:06:46.599> also<00:06:46.840> keeping
cars around you you're also keeping
cars around you you're also keeping
track<00:06:47.400> of<00:06:47.520> The<00:06:47.720> Pedestrian<00:06:48.639> the<00:06:48.759> Running<00:06:49.199> Dog
track of The Pedestrian the Running Dog
track of The Pedestrian the Running Dog
and<00:06:49.840> that's<00:06:50.080> how<00:06:50.319> you<00:06:50.440> can<00:06:50.639> actually<00:06:50.840> be<00:06:51.000> safe
and that's how you can actually be safe
and that's how you can actually be safe
driving<00:06:52.039> right<00:06:52.680> in<00:06:52.800> the<00:06:53.039> lab<00:06:53.680> uh<00:06:53.800> we<00:06:53.919> get
driving right in the lab uh we get
driving right in the lab uh we get
people<00:06:54.520> to<00:06:54.960> come<00:06:55.120> to<00:06:55.280> the<00:06:55.400> lab<00:06:55.720> sit<00:06:56.000> in<00:06:56.120> front
people to come to the lab sit in front
people to come to the lab sit in front
of<00:06:56.360> a<00:06:56.520> computer<00:06:56.840> screen<00:06:57.280> and<00:06:57.440> we<00:06:57.599> give<00:06:57.800> them
of a computer screen and we give them
of a computer screen and we give them
the<00:06:58.120> little<00:06:58.360> task<00:06:58.720> that<00:06:58.879> I'm<00:06:59.000> going<00:06:59.160> to<00:06:59.280> get
the little task that I'm going to get
the little task that I'm going to get
you<00:06:59.680> to<00:06:59.800> do<00:07:00.039> again<00:07:01.000> you're<00:07:01.240> going<00:07:01.440> to<00:07:01.599> see
you to do again you're going to see
you to do again you're going to see
yellow<00:07:02.759> happy<00:07:03.160> faces<00:07:03.919> and<00:07:04.080> a<00:07:04.280> few<00:07:04.800> sad<00:07:05.199> blue
yellow happy faces and a few sad blue
yellow happy faces and a few sad blue
faces<00:07:06.400> these<00:07:06.599> are<00:07:07.039> children<00:07:07.840> in<00:07:08.360> uh<00:07:08.479> the
faces these are children in uh the
faces these are children in uh the
schoolyard<00:07:09.680> in<00:07:09.879> Geneva<00:07:10.560> during<00:07:10.960> recess
schoolyard in Geneva during recess
schoolyard in Geneva during recess
during<00:07:11.720> the<00:07:11.879> winter<00:07:12.840> most<00:07:13.080> kids<00:07:13.280> are<00:07:13.520> happy
during the winter most kids are happy
during the winter most kids are happy
it's<00:07:14.280> actually<00:07:14.720> recess<00:07:15.560> but<00:07:15.680> a<00:07:15.759> few<00:07:16.000> kids<00:07:16.160> are
it's actually recess but a few kids are
it's actually recess but a few kids are
sad<00:07:16.599> in<00:07:16.759> blue<00:07:17.039> because<00:07:17.160> they<00:07:17.319> forgotten<00:07:17.720> their
sad in blue because they forgotten their
sad in blue because they forgotten their
coat<00:07:19.000> everybody<00:07:19.440> begins<00:07:19.759> to<00:07:19.919> move<00:07:20.199> around<00:07:21.199> and
coat everybody begins to move around and
coat everybody begins to move around and
your<00:07:21.720> task<00:07:22.080> is<00:07:22.199> to<00:07:22.400> keep<00:07:22.720> track<00:07:23.039> of<00:07:23.280> who<00:07:23.599> had<00:07:23.759> a
your task is to keep track of who had a
your task is to keep track of who had a
coat<00:07:24.240> at<00:07:24.360> the<00:07:24.520> beginning<00:07:25.120> and<00:07:25.319> who<00:07:25.599> didn't<00:07:26.599> so
coat at the beginning and who didn't so
coat at the beginning and who didn't so
I'm<00:07:26.960> just<00:07:27.160> going<00:07:27.319> to<00:07:27.400> show<00:07:27.520> you<00:07:27.639> an<00:07:27.759> example
I'm just going to show you an example
I'm just going to show you an example
where<00:07:28.160> there<00:07:28.280> is<00:07:28.400> only<00:07:28.720> one<00:07:28.960> s<00:07:29.319> kid<00:07:29.759> it's<00:07:30.000> easy
where there is only one s kid it's easy
where there is only one s kid it's easy
because<00:07:30.520> you<00:07:30.599> can<00:07:30.800> actually<00:07:31.080> track<00:07:31.400> it<00:07:31.720> with
because you can actually track it with
because you can actually track it with
your<00:07:32.080> eyes<00:07:32.400> you<00:07:32.520> can<00:07:32.720> track<00:07:33.000> you<00:07:33.120> can<00:07:33.319> track
your eyes you can track you can track
your eyes you can track you can track
and<00:07:33.759> then<00:07:33.919> when<00:07:34.080> it<00:07:34.280> stops<00:07:34.680> and<00:07:34.800> there's<00:07:35.000> a
and then when it stops and there's a
and then when it stops and there's a
question<00:07:35.440> mark<00:07:35.720> and<00:07:35.840> I<00:07:36.000> ask<00:07:36.240> you<00:07:36.879> did<00:07:37.080> this<00:07:37.280> kid
question mark and I ask you did this kid
question mark and I ask you did this kid
had<00:07:37.680> a<00:07:37.879> coat<00:07:38.199> or<00:07:38.440> not<00:07:39.000> was<00:07:39.160> it<00:07:39.360> yellow
had a coat or not was it yellow
had a coat or not was it yellow
initially<00:07:40.199> or
initially or
initially or
blue<00:07:42.240> I<00:07:42.400> hear<00:07:42.560> a<00:07:42.720> few<00:07:42.919> yellow<00:07:43.360> good<00:07:43.960> most<00:07:44.159> of
blue I hear a few yellow good most of
blue I hear a few yellow good most of
you<00:07:44.440> have<00:07:44.560> a<00:07:44.800> brain<00:07:45.800> um<00:07:46.080> I'm<00:07:46.319> now<00:07:46.639> going<00:07:46.840> to<00:07:47.199> ask
you have a brain um I'm now going to ask
you have a brain um I'm now going to ask
you<00:07:48.599> to<00:07:48.919> do<00:07:49.159> the<00:07:49.440> task<00:07:50.000> but<00:07:50.199> now<00:07:50.599> with<00:07:50.919> a<00:07:51.039> little
you to do the task but now with a little
you to do the task but now with a little
more<00:07:51.440> challenging<00:07:51.879> task<00:07:52.120> there<00:07:52.199> are<00:07:52.319> going<00:07:52.440> to
more challenging task there are going to
more challenging task there are going to
be<00:07:52.879> three<00:07:53.159> of<00:07:53.319> them<00:07:53.639> that<00:07:53.759> are<00:07:53.960> blue<00:07:54.879> don't
be three of them that are blue don't
be three of them that are blue don't
move<00:07:55.319> your<00:07:55.479> eyes<00:07:55.759> please<00:07:55.960> don't<00:07:56.120> move<00:07:56.319> your
move your eyes please don't move your
move your eyes please don't move your
eyes<00:07:56.879> keep<00:07:57.080> your<00:07:57.240> eyes<00:07:57.560> fixated<00:07:58.240> and<00:07:58.479> expand
eyes keep your eyes fixated and expand
eyes keep your eyes fixated and expand
pull<00:07:59.560> your<00:07:59.680> attention<00:08:00.120> that's<00:08:00.240> the<00:08:00.360> only<00:08:00.560> way
pull your attention that's the only way
pull your attention that's the only way
you<00:08:00.800> can<00:08:01.000> actually<00:08:01.280> do<00:08:01.440> it<00:08:01.639> if<00:08:01.720> you<00:08:01.840> move<00:08:02.039> your
you can actually do it if you move your
you can actually do it if you move your
eyes<00:08:02.360> you're<00:08:02.840> doomed<00:08:03.840> yellow<00:08:04.159> or
eyes you're doomed yellow or
eyes you're doomed yellow or
blue<00:08:05.840> good<00:08:06.639> so<00:08:06.919> your<00:08:07.159> typical<00:08:07.759> normal<00:08:08.560> young
blue good so your typical normal young
blue good so your typical normal young
adult<00:08:09.440> can<00:08:09.800> have<00:08:09.960> a<00:08:10.159> span<00:08:10.479> of<00:08:10.680> about<00:08:11.080> three<00:08:11.280> or
adult can have a span of about three or
adult can have a span of about three or
four<00:08:11.720> objects<00:08:12.039> of<00:08:12.199> attention<00:08:12.680> that's<00:08:12.879> what<00:08:13.039> we
four objects of attention that's what we
four objects of attention that's what we
just<00:08:13.440> did<00:08:14.159> your<00:08:14.400> action<00:08:14.720> video<00:08:15.039> game<00:08:15.240> player
just did your action video game player
just did your action video game player
has<00:08:15.720> a<00:08:15.840> span<00:08:16.120> of<00:08:16.240> about<00:08:16.520> six<00:08:16.800> to<00:08:17.000> seven<00:08:17.520> objects
has a span of about six to seven objects
has a span of about six to seven objects
of<00:08:18.039> attention<00:08:18.759> which<00:08:19.159> is<00:08:20.159> what<00:08:20.280> is<00:08:20.440> shown<00:08:20.680> in
of attention which is what is shown in
of attention which is what is shown in
this<00:08:21.080> video<00:08:21.520> here<00:08:22.159> that's<00:08:22.319> for<00:08:22.560> you<00:08:22.879> guys
this video here that's for you guys
this video here that's for you guys
action<00:08:23.879> video<00:08:24.199> game<00:08:24.440> player<00:08:25.319> they<00:08:25.599> more
action video game player they more
action video game player they more
challenging<00:08:26.520> right<00:08:27.520> yellow<00:08:27.840> or<00:08:28.159> blue<00:08:29.159> blue<00:08:29.800> we
challenging right yellow or blue blue we
challenging right yellow or blue blue we
have<00:08:30.240> some<00:08:30.520> people<00:08:30.840> that<00:08:31.000> are<00:08:31.240> serious<00:08:31.919> out
have some people that are serious out
have some people that are serious out
there<00:08:33.080> yeah<00:08:34.360> good<00:08:35.360> so<00:08:35.800> in<00:08:35.959> the<00:08:36.080> same<00:08:36.320> way<00:08:36.479> that
there yeah good so in the same way that
there yeah good so in the same way that
we<00:08:36.800> actually<00:08:37.240> see<00:08:37.919> the<00:08:38.120> effects<00:08:38.800> of<00:08:39.080> video
we actually see the effects of video
we actually see the effects of video
games<00:08:39.800> on<00:08:40.399> people's<00:08:40.880> behavior<00:08:41.719> we<00:08:41.880> can<00:08:42.000> use
games on people's behavior we can use
games on people's behavior we can use
brain<00:08:42.519> Imaging<00:08:43.000> and<00:08:43.159> look<00:08:43.320> at<00:08:43.519> the<00:08:43.719> impact<00:08:44.159> of
brain Imaging and look at the impact of
brain Imaging and look at the impact of
video<00:08:44.760> game<00:08:45.040> on<00:08:45.200> the<00:08:45.320> brain<00:08:45.839> and<00:08:46.000> we<00:08:46.160> do<00:08:46.399> find
video game on the brain and we do find
video game on the brain and we do find
many<00:08:47.480> changes<00:08:48.000> but<00:08:48.160> the<00:08:48.279> main<00:08:48.519> changes<00:08:48.880> are
many changes but the main changes are
many changes but the main changes are
actually<00:08:49.640> to<00:08:50.000> the<00:08:50.200> brain<00:08:50.880> networks<00:08:51.720> that
actually to the brain networks that
actually to the brain networks that
control<00:08:52.640> attention<00:08:53.640> so<00:08:53.959> one<00:08:54.320> part<00:08:54.640> is<00:08:54.760> a
control attention so one part is a
control attention so one part is a
parial<00:08:55.519> cortex<00:08:56.120> which<00:08:56.240> is<00:08:56.399> very<00:08:56.600> well<00:08:56.760> known
parial cortex which is very well known
parial cortex which is very well known
to<00:08:57.279> control<00:08:57.680> the<00:08:57.839> orientation<00:08:58.440> of<00:08:58.600> attention
to control the orientation of attention
to control the orientation of attention
the<00:08:59.920> other<00:09:00.160> one<00:09:00.320> is<00:09:00.399> the<00:09:00.560> frontal<00:09:00.920> lobe<00:09:01.360> which
the other one is the frontal lobe which
the other one is the frontal lobe which
controls<00:09:02.040> how<00:09:02.200> we<00:09:02.360> sustain<00:09:03.040> attention<00:09:04.040> and
controls how we sustain attention and
controls how we sustain attention and
another<00:09:04.519> one<00:09:04.680> is<00:09:04.800> the<00:09:04.920> interior<00:09:05.279> single<00:09:05.600> AG
another one is the interior single AG
another one is the interior single AG
which<00:09:05.959> controls<00:09:06.480> how<00:09:06.640> we<00:09:06.800> allocate<00:09:07.399> and
which controls how we allocate and
which controls how we allocate and
regulate<00:09:08.240> attension<00:09:08.800> and<00:09:09.000> resolve<00:09:09.800> conflict
regulate attension and resolve conflict
regulate attension and resolve conflict
now<00:09:10.920> when<00:09:11.079> we<00:09:11.200> do<00:09:11.360> brain<00:09:11.600> Imaging<00:09:12.040> we<00:09:12.200> find
now when we do brain Imaging we find
now when we do brain Imaging we find
that<00:09:12.720> all<00:09:13.160> three<00:09:13.519> of<00:09:13.800> these<00:09:14.200> networks<00:09:14.920> are
that all three of these networks are
that all three of these networks are
actually<00:09:15.560> much<00:09:15.760> more<00:09:16.120> efficient<00:09:16.760> in<00:09:17.000> people
actually much more efficient in people
actually much more efficient in people
that<00:09:17.519> play<00:09:17.959> action
that play action
that play action
games<00:09:20.519> this<00:09:21.120> actually<00:09:21.720> leads<00:09:22.079> me<00:09:22.279> to<00:09:22.640> rather
games this actually leads me to rather
games this actually leads me to rather
counterintuitive<00:09:23.880> finding<00:09:24.200> in<00:09:24.440> literature
counterintuitive finding in literature
counterintuitive finding in literature
about<00:09:25.600> technology<00:09:26.160> in<00:09:26.279> the<00:09:26.839> brain<00:09:27.839> you<00:09:28.000> all
about technology in the brain you all
about technology in the brain you all
know<00:09:28.640> about<00:09:28.880> multi<00:09:29.440> asking<00:09:30.440> you<00:09:30.600> all<00:09:30.880> have
know about multi asking you all have
know about multi asking you all have
been<00:09:31.320> faulty<00:09:32.079> of<00:09:32.360> multitasking<00:09:33.360> when<00:09:33.519> you're
been faulty of multitasking when you're
been faulty of multitasking when you're
driving<00:09:34.640> and<00:09:34.800> you<00:09:34.959> pick<00:09:35.160> up<00:09:35.320> your<00:09:35.519> cell<00:09:35.959> phone
driving and you pick up your cell phone
driving and you pick up your cell phone
bad<00:09:37.440> idea<00:09:38.000> very<00:09:38.279> bad<00:09:38.600> idea<00:09:39.279> why<00:09:40.279> because<00:09:40.800> as
bad idea very bad idea why because as
bad idea very bad idea why because as
your<00:09:41.160> attention<00:09:41.519> shift<00:09:41.959> to<00:09:42.079> your<00:09:42.279> cell<00:09:42.680> phone
your attention shift to your cell phone
your attention shift to your cell phone
you<00:09:43.839> are<00:09:44.120> actually<00:09:44.720> losing<00:09:45.200> the<00:09:45.440> capacity<00:09:45.880> to
you are actually losing the capacity to
you are actually losing the capacity to
react<00:09:46.600> swiftly<00:09:47.120> to<00:09:47.279> the<00:09:47.440> car<00:09:47.640> breaking<00:09:48.079> in
react swiftly to the car breaking in
react swiftly to the car breaking in
front<00:09:48.440> of<00:09:48.600> you<00:09:49.000> and<00:09:49.120> so<00:09:49.240> you're<00:09:49.640> much<00:09:49.920> more
front of you and so you're much more
front of you and so you're much more
likely<00:09:50.920> to<00:09:51.200> get<00:09:51.920> uh<00:09:52.120> engaged<00:09:52.600> into<00:09:52.880> a<00:09:53.000> car
likely to get uh engaged into a car
likely to get uh engaged into a car
accident<00:09:55.360> now<00:09:55.560> we<00:09:55.680> can<00:09:55.839> measure<00:09:56.240> that<00:09:56.440> kind<00:09:56.560> of
accident now we can measure that kind of
accident now we can measure that kind of
skills<00:09:57.040> in<00:09:57.160> the<00:09:57.320> lab<00:09:58.079> we<00:09:58.240> obviously<00:09:58.600> don't<00:09:58.880> ask
skills in the lab we obviously don't ask
skills in the lab we obviously don't ask
people<00:09:59.519> to<00:09:59.600> drive<00:09:59.839> around<00:10:00.160> and<00:10:00.279> see<00:10:00.480> how<00:10:00.600> many
people to drive around and see how many
people to drive around and see how many
car<00:10:01.040> accidents<00:10:01.440> they<00:10:01.640> have<00:10:01.920> that<00:10:02.040> would<00:10:02.200> be<00:10:02.279> a
car accidents they have that would be a
car accidents they have that would be a
little<00:10:02.640> costly<00:10:03.079> proposition<00:10:03.959> but<00:10:04.120> we
little costly proposition but we
little costly proposition but we
designed<00:10:04.800> task<00:10:05.279> on<00:10:05.399> the<00:10:05.600> computer<00:10:06.560> where<00:10:06.720> we
designed task on the computer where we
designed task on the computer where we
can<00:10:07.079> measure<00:10:07.519> to<00:10:07.640> the<00:10:07.800> millisecond<00:10:08.680> accuracy
can measure to the millisecond accuracy
can measure to the millisecond accuracy
how<00:10:10.040> good<00:10:10.519> they<00:10:10.680> are<00:10:11.120> at<00:10:11.320> switching<00:10:11.880> from<00:10:12.120> one
how good they are at switching from one
how good they are at switching from one
task<00:10:12.720> to<00:10:13.360> another<00:10:14.360> when<00:10:14.519> we<00:10:14.640> do<00:10:14.880> that<00:10:15.120> we
task to another when we do that we
task to another when we do that we
actually<00:10:15.560> find<00:10:15.880> that<00:10:16.160> people<00:10:16.640> that<00:10:16.880> play<00:10:17.160> a
actually find that people that play a
actually find that people that play a
lot<00:10:17.399> of<00:10:17.560> action<00:10:17.959> games<00:10:18.680> are<00:10:18.959> really<00:10:19.200> really
lot of action games are really really
lot of action games are really really
good<00:10:19.880> they<00:10:20.040> switch<00:10:20.519> really<00:10:20.839> fast<00:10:21.200> very
good they switch really fast very
good they switch really fast very
swiftly<00:10:22.000> they<00:10:22.160> pay<00:10:22.360> a<00:10:22.519> very<00:10:22.720> small<00:10:23.160> cost<00:10:24.160> now
swiftly they pay a very small cost now
swiftly they pay a very small cost now
I'd<00:10:24.440> like<00:10:24.560> you<00:10:24.680> to<00:10:24.839> remember<00:10:25.240> that<00:10:25.480> result<00:10:26.120> and
I'd like you to remember that result and
I'd like you to remember that result and
put<00:10:26.560> it<00:10:26.839> in<00:10:26.959> the<00:10:27.240> context<00:10:27.839> of<00:10:28.040> another<00:10:28.440> group
put it in the context of another group
put it in the context of another group
of<00:10:28.920> techn<00:10:29.279> techology<00:10:29.680> users<00:10:30.519> a<00:10:30.680> group<00:10:30.920> which
of techn techology users a group which
of techn techology users a group which
is<00:10:31.200> actually<00:10:31.440> much<00:10:31.640> reverred<00:10:32.160> by<00:10:32.399> society
is actually much reverred by society
is actually much reverred by society
which<00:10:33.360> are<00:10:33.680> people<00:10:34.040> that<00:10:34.320> engage<00:10:35.000> in
which are people that engage in
which are people that engage in
multimedia<00:10:36.720> tasking<00:10:37.720> what<00:10:37.839> is<00:10:37.959> multimedia
multimedia tasking what is multimedia
multimedia tasking what is multimedia
tasking<00:10:39.160> is<00:10:39.279> the<00:10:39.600> fact<00:10:40.000> that<00:10:40.360> most<00:10:40.600> of<00:10:40.760> us<00:10:41.120> most
tasking is the fact that most of us most
tasking is the fact that most of us most
of<00:10:41.440> our<00:10:41.639> children<00:10:42.320> are<00:10:42.600> engaged<00:10:43.079> into
of our children are engaged into
of our children are engaged into
listening<00:10:43.959> to<00:10:44.200> music<00:10:44.720> at<00:10:44.839> the<00:10:44.959> same<00:10:45.200> time<00:10:45.440> as
listening to music at the same time as
listening to music at the same time as
they<00:10:45.760> doing<00:10:46.040> search<00:10:46.399> on<00:10:46.600> the<00:10:46.760> web<00:10:47.079> at<00:10:47.200> the<00:10:47.320> same
they doing search on the web at the same
they doing search on the web at the same
time<00:10:47.720> as<00:10:47.839> they're<00:10:48.040> chatting<00:10:48.519> on<00:10:48.760> Facebook
time as they're chatting on Facebook
time as they're chatting on Facebook
with<00:10:49.320> their<00:10:49.720> friends<00:10:50.720> that's<00:10:50.920> a<00:10:51.160> multimedia
with their friends that's a multimedia
with their friends that's a multimedia
Tasker<00:10:53.200> there<00:10:53.360> was<00:10:53.480> a<00:10:53.600> first<00:10:53.839> study<00:10:54.200> done<00:10:54.600> by
Tasker there was a first study done by
Tasker there was a first study done by
colleagues<00:10:55.680> at<00:10:55.839> Stanford<00:10:56.760> and<00:10:56.880> that<00:10:57.040> we
colleagues at Stanford and that we
colleagues at Stanford and that we
replicated<00:10:57.920> that<00:10:58.040> showed<00:10:58.560> that<00:10:59.360> those<00:10:59.680> people
replicated that showed that those people
replicated that showed that those people
that<00:11:00.279> identify<00:11:01.040> as<00:11:01.240> being<00:11:01.680> high<00:11:02.040> multimedia
that identify as being high multimedia
that identify as being high multimedia
Tasker<00:11:03.760> are<00:11:04.160> absolutely<00:11:04.920> abysmal<00:11:05.920> and
Tasker are absolutely abysmal and
Tasker are absolutely abysmal and
multitasking<00:11:07.320> when<00:11:07.440> we<00:11:07.560> measure<00:11:07.959> them<00:11:08.120> in<00:11:08.240> the
multitasking when we measure them in the
multitasking when we measure them in the
lab<00:11:08.639> they're<00:11:08.880> really<00:11:09.480> bad<00:11:10.480> right<00:11:11.160> so<00:11:11.560> this
lab they're really bad right so this
lab they're really bad right so this
kind<00:11:11.920> of<00:11:12.120> results<00:11:12.800> really<00:11:13.600> makes<00:11:13.920> two<00:11:14.160> main
kind of results really makes two main
kind of results really makes two main
point<00:11:15.480> the<00:11:15.639> first<00:11:15.880> one<00:11:16.079> is<00:11:16.200> that<00:11:16.399> not<00:11:16.560> all
point the first one is that not all
point the first one is that not all
media<00:11:17.079> are<00:11:17.240> created<00:11:17.920> equal<00:11:18.920> you<00:11:19.160> can't
media are created equal you can't
media are created equal you can't
compare<00:11:20.880> the<00:11:21.120> effect<00:11:21.760> of<00:11:22.360> multimedia<00:11:23.040> tasking
compare the effect of multimedia tasking
compare the effect of multimedia tasking
and<00:11:23.600> the<00:11:23.720> effect<00:11:23.920> of<00:11:24.079> playing<00:11:24.320> action<00:11:24.600> games
and the effect of playing action games
and the effect of playing action games
they<00:11:24.959> have<00:11:25.399> totally<00:11:25.800> different<00:11:26.120> effects<00:11:26.800> on
they have totally different effects on
they have totally different effects on
different<00:11:27.480> aspects<00:11:27.880> of<00:11:28.160> cognition
different aspects of cognition
different aspects of cognition
perception
perception
perception
and<00:11:30.680> attention<00:11:31.680> even<00:11:31.959> within<00:11:32.320> video<00:11:32.639> games
and attention even within video games
and attention even within video games
I'm<00:11:33.160> telling<00:11:33.440> you<00:11:33.720> right<00:11:34.000> now<00:11:34.560> about<00:11:34.839> these
I'm telling you right now about these
I'm telling you right now about these
action-packed<00:11:35.800> video<00:11:36.240> games<00:11:36.680> different
action-packed video games different
action-packed video games different
video<00:11:37.320> games<00:11:37.560> have<00:11:37.720> a<00:11:37.880> different<00:11:38.240> effect<00:11:38.440> on
video games have a different effect on
video games have a different effect on
your<00:11:38.720> brains<00:11:39.560> so<00:11:39.760> we<00:11:39.920> actually<00:11:40.120> need<00:11:40.279> to<00:11:40.440> step
your brains so we actually need to step
your brains so we actually need to step
into<00:11:40.880> the<00:11:41.040> lab<00:11:41.360> and<00:11:41.560> really<00:11:41.880> measure<00:11:42.480> what<00:11:42.639> is
into the lab and really measure what is
into the lab and really measure what is
the<00:11:42.959> effect<00:11:43.200> of<00:11:43.360> each<00:11:43.600> video<00:11:44.040> game<00:11:45.040> the<00:11:45.279> other
the effect of each video game the other
the effect of each video game the other
lesson<00:11:46.320> is<00:11:46.560> that<00:11:46.959> General<00:11:47.360> wisdom<00:11:47.760> carries<00:11:48.120> no
lesson is that General wisdom carries no
lesson is that General wisdom carries no
weight<00:11:49.160> I<00:11:49.279> showed<00:11:49.600> that<00:11:49.760> to<00:11:49.880> you<00:11:50.040> already<00:11:50.440> like
weight I showed that to you already like
weight I showed that to you already like
we<00:11:50.720> looked<00:11:50.959> at<00:11:51.240> the<00:11:51.440> fact<00:11:51.800> that<00:11:52.240> despite<00:11:52.639> a<00:11:52.760> lot
we looked at the fact that despite a lot
we looked at the fact that despite a lot
of<00:11:53.000> screen<00:11:53.440> times<00:11:53.720> those<00:11:53.920> action<00:11:54.240> Gamers<00:11:54.920> have
of screen times those action Gamers have
of screen times those action Gamers have
a<00:11:55.440> lot<00:11:56.120> of<00:11:56.399> very<00:11:56.639> good<00:11:56.880> Vision<00:11:57.800> Etc<00:11:58.800> here<00:11:59.279> what
a lot of very good Vision Etc here what
a lot of very good Vision Etc here what
was<00:11:59.560> really<00:11:59.800> striking<00:12:00.480> is<00:12:00.639> that<00:12:00.800> these
was really striking is that these
was really striking is that these
undergraduates<00:12:02.040> that<00:12:02.240> actually<00:12:02.600> report
undergraduates that actually report
undergraduates that actually report
engaging<00:12:04.160> a<00:12:04.360> lot<00:12:04.639> of<00:12:04.959> high<00:12:05.240> multimedia
engaging a lot of high multimedia
engaging a lot of high multimedia
tasking<00:12:07.200> are<00:12:07.600> convinced<00:12:08.600> they<00:12:08.800> a<00:12:09.079> to<00:12:09.360> test<00:12:10.240> so
tasking are convinced they a to test so
tasking are convinced they a to test so
you<00:12:10.480> show<00:12:10.720> them<00:12:10.880> their<00:12:11.120> data<00:12:11.399> you<00:12:11.519> show<00:12:11.720> them
you show them their data you show them
you show them their data you show them
their<00:12:12.120> bad<00:12:12.360> and<00:12:12.600> like<00:12:13.199> not<00:12:13.560> possible<00:12:14.399> you<00:12:14.519> know
their bad and like not possible you know
their bad and like not possible you know
they<00:12:14.920> have<00:12:15.120> this<00:12:15.279> sort<00:12:15.480> of<00:12:15.639> gut<00:12:15.920> feeling<00:12:16.560> that
they have this sort of gut feeling that
they have this sort of gut feeling that
really<00:12:17.240> they're<00:12:17.480> doing<00:12:17.800> really<00:12:18.040> really<00:12:18.240> good
really they're doing really really good
really they're doing really really good
that's<00:12:19.440> another<00:12:19.760> argument<00:12:20.160> for<00:12:20.440> why<00:12:20.680> we<00:12:20.800> need
that's another argument for why we need
that's another argument for why we need
to<00:12:21.079> step<00:12:21.320> into<00:12:21.560> the<00:12:21.680> lab<00:12:21.920> and<00:12:22.079> really<00:12:22.360> measure
to step into the lab and really measure
to step into the lab and really measure
the<00:12:23.399> impact<00:12:23.720> of<00:12:23.920> technology<00:12:24.399> on<00:12:24.519> the<00:12:25.079> brain
the impact of technology on the brain
the impact of technology on the brain
now<00:12:26.279> in<00:12:26.360> a<00:12:26.600> sense<00:12:27.320> when<00:12:27.519> we<00:12:27.720> think<00:12:28.000> about<00:12:28.839> um
now in a sense when we think about um
now in a sense when we think about um
the<00:12:29.800> effect<00:12:30.320> of<00:12:30.600> video<00:12:30.959> games<00:12:31.279> on<00:12:31.440> the<00:12:31.560> brain
the effect of video games on the brain
the effect of video games on the brain
it's<00:12:32.079> very<00:12:32.320> similar<00:12:32.959> but<00:12:33.120> to<00:12:33.360> the<00:12:33.560> effect<00:12:34.000> of
it's very similar but to the effect of
it's very similar but to the effect of
wine<00:12:35.040> on<00:12:35.519> health<00:12:36.519> there<00:12:36.639> are<00:12:36.800> some<00:12:37.160> very<00:12:37.440> poor
wine on health there are some very poor
wine on health there are some very poor
use<00:12:38.199> of<00:12:38.440> wine<00:12:39.120> there<00:12:39.240> are<00:12:39.399> some<00:12:39.639> very<00:12:39.880> poor<00:12:40.120> use
use of wine there are some very poor use
use of wine there are some very poor use
of<00:12:40.760> video<00:12:41.360> games<00:12:42.360> but<00:12:42.800> when<00:12:43.360> consumed<00:12:44.000> in
of video games but when consumed in
of video games but when consumed in
reasonable<00:12:44.800> Doses<00:12:45.600> and<00:12:45.760> at<00:12:45.880> the<00:12:46.040> right<00:12:46.360> age
reasonable Doses and at the right age
reasonable Doses and at the right age
wine<00:12:47.680> can<00:12:47.920> be<00:12:48.240> very<00:12:48.839> good<00:12:49.079> for<00:12:49.399> health<00:12:49.720> there
wine can be very good for health there
wine can be very good for health there
are<00:12:50.040> actually<00:12:50.920> specific<00:12:51.440> molecules<00:12:52.079> that
are actually specific molecules that
are actually specific molecules that
have<00:12:52.399> been<00:12:52.880> identified<00:12:53.880> in<00:12:54.199> red<00:12:54.480> wine<00:12:55.320> as
have been identified in red wine as
have been identified in red wine as
leading<00:12:56.279> to<00:12:56.720> Greater<00:12:57.720> life<00:12:58.120> expectancy
leading to Greater life expectancy
leading to Greater life expectancy
so<00:13:00.120> it's<00:13:00.320> the<00:13:00.519> same<00:13:00.839> way<00:13:01.160> like<00:13:01.360> those<00:13:01.680> action
so it's the same way like those action
so it's the same way like those action
video<00:13:02.360> games<00:13:02.639> have<00:13:02.760> a<00:13:02.880> number<00:13:03.079> of<00:13:03.240> ingredients
video games have a number of ingredients
video games have a number of ingredients
that<00:13:03.920> are<00:13:04.079> actually<00:13:04.399> really<00:13:04.760> powerful<00:13:05.480> for
that are actually really powerful for
that are actually really powerful for
brain<00:13:06.079> plasticity<00:13:06.839> learning<00:13:07.760> attention
brain plasticity learning attention
brain plasticity learning attention
Vision<00:13:09.399> Etc<00:13:10.279> and<00:13:10.480> so<00:13:10.680> we<00:13:10.839> need<00:13:11.160> and<00:13:11.279> we're
Vision Etc and so we need and we're
Vision Etc and so we need and we're
working<00:13:12.000> on<00:13:12.480> understanding<00:13:12.839> what<00:13:13.040> are<00:13:13.360> those
working on understanding what are those
working on understanding what are those
active<00:13:13.920> ingredients<00:13:14.480> so<00:13:14.680> that<00:13:14.839> we<00:13:15.000> can<00:13:15.279> really
active ingredients so that we can really
active ingredients so that we can really
then<00:13:16.160> leverage<00:13:16.680> them<00:13:17.240> to<00:13:17.440> deliver<00:13:17.959> better
then leverage them to deliver better
then leverage them to deliver better
games<00:13:18.720> either<00:13:18.920> for<00:13:19.160> education<00:13:19.959> or<00:13:20.079> for
games either for education or for
games either for education or for
rehabilitation<00:13:20.959> of
rehabilitation of
rehabilitation of
patients<00:13:23.160> now<00:13:23.440> because<00:13:23.720> we're<00:13:24.000> interested<00:13:24.720> in
patients now because we're interested in
patients now because we're interested in
um<00:13:25.800> having<00:13:26.079> an<00:13:26.279> impact<00:13:26.760> for<00:13:26.959> education<00:13:27.399> or
um having an impact for education or
um having an impact for education or
Rehabilitation<00:13:28.120> of<00:13:28.279> patients<00:13:28.680> we<00:13:28.839> actually
Rehabilitation of patients we actually
Rehabilitation of patients we actually
not<00:13:29.440> that<00:13:29.600> interested<00:13:30.199> in<00:13:30.920> how<00:13:31.279> those<00:13:31.519> of<00:13:31.760> you
not that interested in how those of you
not that interested in how those of you
that<00:13:32.320> choose<00:13:32.800> to<00:13:33.000> play<00:13:33.320> video<00:13:33.680> games<00:13:34.000> for<00:13:34.279> many
that choose to play video games for many
that choose to play video games for many
hours<00:13:34.800> on<00:13:35.079> hand<00:13:35.680> perform<00:13:36.680> I'm<00:13:36.880> much<00:13:37.160> more
hours on hand perform I'm much more
hours on hand perform I'm much more
interested<00:13:38.079> in<00:13:38.800> taking<00:13:39.360> any<00:13:39.639> of<00:13:39.880> you<00:13:40.600> and
interested in taking any of you and
interested in taking any of you and
showing<00:13:41.279> that<00:13:41.959> by<00:13:42.120> forcing<00:13:42.560> you<00:13:42.680> to<00:13:42.880> play<00:13:43.079> an
showing that by forcing you to play an
showing that by forcing you to play an
action<00:13:43.600> game<00:13:44.000> I<00:13:44.120> can<00:13:44.360> actually<00:13:44.639> change<00:13:45.120> your
action game I can actually change your
action game I can actually change your
vision<00:13:45.639> for<00:13:45.880> the<00:13:46.040> better<00:13:47.040> whether<00:13:47.279> you<00:13:47.399> want
vision for the better whether you want
vision for the better whether you want
to<00:13:47.800> play<00:13:48.040> that<00:13:48.240> action<00:13:48.600> game<00:13:48.800> or<00:13:48.959> not<00:13:49.320> right
to play that action game or not right
to play that action game or not right
that's<00:13:49.639> a<00:13:49.800> point<00:13:50.040> of<00:13:50.199> Rehabilitation<00:13:50.920> or
that's a point of Rehabilitation or
that's a point of Rehabilitation or
education<00:13:51.759> most<00:13:51.920> of<00:13:52.040> the<00:13:52.199> kids<00:13:52.440> don't<00:13:52.639> go<00:13:52.800> to
education most of the kids don't go to
education most of the kids don't go to
school<00:13:53.240> saying<00:13:53.639> great<00:13:54.320> you<00:13:54.480> know<00:13:54.920> two<00:13:55.160> hours
school saying great you know two hours
school saying great you know two hours
of<00:13:55.600> math<00:13:56.560> um<00:13:57.199> so<00:13:57.639> that's<00:13:58.000> really<00:13:58.839> the<00:13:59.160> cracks
of math um so that's really the cracks
of math um so that's really the cracks
of<00:13:59.959> the<00:14:00.120> research<00:14:00.560> and<00:14:00.720> to<00:14:00.839> do<00:14:01.040> that<00:14:01.240> we<00:14:01.360> need
of the research and to do that we need
of the research and to do that we need
to<00:14:01.639> go<00:14:01.920> one<00:14:02.079> more<00:14:02.399> step<00:14:03.199> the<00:14:03.360> one<00:14:03.519> more<00:14:03.800> step<00:14:04.120> is
to go one more step the one more step is
to go one more step the one more step is
to<00:14:04.360> do<00:14:04.639> training
to do training
to do training
studies<00:14:06.880> so<00:14:07.160> let<00:14:07.279> me<00:14:07.440> illustrate<00:14:08.279> that<00:14:08.560> step
studies so let me illustrate that step
studies so let me illustrate that step
with<00:14:09.600> a<00:14:10.240> task<00:14:10.639> which<00:14:10.759> is<00:14:10.880> called<00:14:11.120> mental
with a task which is called mental
with a task which is called mental
rotation<00:14:13.279> mental<00:14:13.720> rotation<00:14:14.720> is<00:14:15.440> um<00:14:15.680> a<00:14:15.880> task
rotation mental rotation is um a task
rotation mental rotation is um a task
where<00:14:16.279> I'm<00:14:16.440> going<00:14:16.600> to<00:14:16.839> ask<00:14:17.040> you<00:14:17.279> and<00:14:17.440> again
where I'm going to ask you and again
where I'm going to ask you and again
you're<00:14:17.800> going<00:14:17.959> to<00:14:18.079> do<00:14:18.240> the<00:14:18.480> task<00:14:19.440> to<00:14:19.959> look<00:14:20.160> at
you're going to do the task to look at
you're going to do the task to look at
this<00:14:20.560> shape<00:14:20.959> study<00:14:21.320> it<00:14:21.560> it's<00:14:21.680> a<00:14:21.839> Target<00:14:22.240> shape
this shape study it it's a Target shape
this shape study it it's a Target shape
and<00:14:23.399> I'm<00:14:23.560> going<00:14:23.720> to<00:14:23.880> present<00:14:24.160> you<00:14:24.560> four
and I'm going to present you four
and I'm going to present you four
different<00:14:25.680> shapes<00:14:26.639> one<00:14:26.800> of<00:14:27.000> these<00:14:27.160> four
different shapes one of these four
different shapes one of these four
different<00:14:27.639> shapes<00:14:27.959> is<00:14:28.120> actually<00:14:28.320> a<00:14:28.480> rotated
different shapes is actually a rotated
different shapes is actually a rotated
version<00:14:30.040> of<00:14:30.600> this<00:14:30.800> shape<00:14:31.279> I<00:14:31.360> want<00:14:31.519> you<00:14:31.639> to<00:14:31.759> tell
version of this shape I want you to tell
version of this shape I want you to tell
me<00:14:32.199> which<00:14:32.440> one<00:14:33.440> the<00:14:33.639> first<00:14:33.920> one<00:14:34.440> second<00:14:34.800> one
me which one the first one second one
me which one the first one second one
third<00:14:35.560> one<00:14:35.800> or<00:14:36.120> fourth
third one or fourth
third one or fourth
one<00:14:38.959> okay<00:14:39.079> I'll<00:14:39.279> help<00:14:39.560> you<00:14:39.800> fourth<00:14:40.199> one<00:14:41.160> one
one okay I'll help you fourth one one
one okay I'll help you fourth one one
more<00:14:42.279> get<00:14:42.440> those<00:14:42.639> brains<00:14:43.000> working<00:14:43.440> come
more get those brains working come
more get those brains working come
on<00:14:45.199> that's<00:14:45.759> our<00:14:46.079> Target
shape<00:14:50.720> third<00:14:51.519> good<00:14:52.519> um<00:14:52.920> this<00:14:53.120> is<00:14:53.320> hard<00:14:53.680> right
shape third good um this is hard right
shape third good um this is hard right
like<00:14:54.040> the<00:14:54.160> reason<00:14:54.399> I<00:14:54.519> ask<00:14:54.720> you<00:14:54.800> to<00:14:54.959> do<00:14:55.160> that<00:14:55.320> is
like the reason I ask you to do that is
like the reason I ask you to do that is
because<00:14:55.720> you<00:14:56.000> really<00:14:56.320> feel<00:14:56.759> your<00:14:56.959> brain
because you really feel your brain
because you really feel your brain
cringing<00:14:57.920> right<00:14:58.279> doesn't<00:14:58.560> really<00:14:58.720> feel<00:14:59.160> like
cringing right doesn't really feel like
cringing right doesn't really feel like
playing<00:14:59.600> a<00:14:59.720> Mindless<00:15:00.399> action<00:15:00.759> video<00:15:01.120> games
playing a Mindless action video games
playing a Mindless action video games
well<00:15:02.519> what<00:15:02.639> we<00:15:02.759> do<00:15:02.920> in<00:15:03.040> these<00:15:03.199> training
well what we do in these training
well what we do in these training
studies<00:15:03.839> is<00:15:04.040> people<00:15:04.240> come<00:15:04.360> to<00:15:04.519> the<00:15:04.639> lab<00:15:04.880> they
studies is people come to the lab they
studies is people come to the lab they
do<00:15:05.240> tasks<00:15:05.600> like<00:15:05.800> this<00:15:06.040> one<00:15:07.040> we<00:15:07.240> then<00:15:07.440> force
do tasks like this one we then force
do tasks like this one we then force
them<00:15:07.959> to<00:15:08.160> play<00:15:08.560> 10<00:15:09.000> hours<00:15:09.519> of<00:15:09.800> action<00:15:10.320> games
them to play 10 hours of action games
them to play 10 hours of action games
they<00:15:11.440> don't<00:15:11.680> play<00:15:11.959> 10<00:15:12.199> hours<00:15:12.440> of<00:15:12.600> action<00:15:12.839> game
they don't play 10 hours of action game
they don't play 10 hours of action game
in<00:15:13.120> a<00:15:13.279> row<00:15:13.720> they<00:15:13.880> do<00:15:14.240> distributed<00:15:15.000> practice<00:15:15.399> so
in a row they do distributed practice so
in a row they do distributed practice so
little<00:15:15.800> shots<00:15:16.199> of<00:15:16.360> 40<00:15:16.720> minutes<00:15:17.560> um<00:15:18.480> several
little shots of 40 minutes um several
little shots of 40 minutes um several
days<00:15:19.399> over<00:15:19.639> a<00:15:19.800> period<00:15:20.079> of<00:15:20.199> two<00:15:20.480> weeks<00:15:21.480> then
days over a period of two weeks then
days over a period of two weeks then
once<00:15:21.880> they're<00:15:22.079> done<00:15:22.279> with<00:15:22.399> their<00:15:22.560> training
once they're done with their training
once they're done with their training
they<00:15:23.079> come<00:15:23.279> back<00:15:23.399> a<00:15:23.519> few<00:15:23.800> days<00:15:24.120> later<00:15:24.759> and<00:15:24.880> they
they come back a few days later and they
they come back a few days later and they
are<00:15:25.199> tested<00:15:25.639> again<00:15:26.000> on<00:15:26.160> a<00:15:26.320> similar<00:15:26.839> type<00:15:27.279> of
are tested again on a similar type of
are tested again on a similar type of
mental<00:15:27.800> rotation<00:15:28.360> task<00:15:29.360> so<00:15:29.560> this<00:15:29.720> is<00:15:29.880> work
mental rotation task so this is work
mental rotation task so this is work
from<00:15:30.360> colleague<00:15:30.680> in<00:15:30.839> Toronto<00:15:31.319> what<00:15:31.480> they
from colleague in Toronto what they
from colleague in Toronto what they
showed<00:15:31.880> is<00:15:32.000> that<00:15:32.440> initially<00:15:33.440> you<00:15:33.560> know
showed is that initially you know
showed is that initially you know
subjects<00:15:34.240> perform<00:15:34.639> where<00:15:34.800> they're<00:15:35.079> expected
subjects perform where they're expected
subjects perform where they're expected
to<00:15:35.600> perform<00:15:36.000> given<00:15:36.240> their<00:15:36.880> age<00:15:37.880> after<00:15:38.399> two
to perform given their age after two
to perform given their age after two
weeks<00:15:39.360> of<00:15:39.880> uh<00:15:40.000> training<00:15:40.480> on<00:15:40.759> action<00:15:41.079> video
weeks of uh training on action video
weeks of uh training on action video
games<00:15:42.279> um<00:15:42.440> they<00:15:42.639> actually<00:15:42.920> perform<00:15:43.759> better
games um they actually perform better
games um they actually perform better
and<00:15:46.040> the<00:15:46.199> Improvement<00:15:46.800> is<00:15:47.000> still<00:15:47.399> there<00:15:47.880> five
and the Improvement is still there five
and the Improvement is still there five
months<00:15:49.319> after<00:15:49.959> having<00:15:50.240> done<00:15:50.440> the<00:15:50.600> training
months after having done the training
months after having done the training
that's<00:15:51.759> really<00:15:52.000> really<00:15:52.240> important<00:15:53.079> why
that's really really important why
that's really really important why
because<00:15:53.600> I<00:15:53.720> told<00:15:53.880> you<00:15:54.000> we<00:15:54.120> want<00:15:54.240> to<00:15:54.399> use<00:15:54.639> these
because I told you we want to use these
because I told you we want to use these
games<00:15:55.120> for<00:15:55.360> education<00:15:56.000> or<00:15:56.120> for
games for education or for
games for education or for
rehabilitation<00:15:57.040> we<00:15:57.199> need<00:15:57.360> to<00:15:57.600> have<00:15:57.880> effects
rehabilitation we need to have effects
rehabilitation we need to have effects
that<00:15:58.399> are<00:15:58.560> going<00:15:58.720> to<00:15:58.959> to<00:15:59.079> be<00:15:59.199> longlasting
that are going to to be longlasting
that are going to to be longlasting
now<00:16:01.680> at<00:16:01.839> this<00:16:02.000> point<00:16:02.560> a<00:16:02.680> number<00:16:02.920> of<00:16:03.040> you<00:16:03.199> are
now at this point a number of you are
now at this point a number of you are
probably<00:16:03.720> wondering<00:16:04.240> well<00:16:04.560> what<00:16:04.720> are<00:16:04.880> you
probably wondering well what are you
probably wondering well what are you
waiting<00:16:06.319> for<00:16:06.959> putting<00:16:07.279> on<00:16:07.440> the<00:16:07.639> market<00:16:08.480> a<00:16:08.720> game
waiting for putting on the market a game
waiting for putting on the market a game
that<00:16:09.079> would<00:16:09.279> be<00:16:09.440> good<00:16:09.639> for<00:16:09.880> the<00:16:10.040> attention<00:16:10.480> of
that would be good for the attention of
that would be good for the attention of
my<00:16:10.920> grandmother<00:16:11.880> and<00:16:12.040> that<00:16:12.240> she<00:16:12.440> would
my grandmother and that she would
my grandmother and that she would
actually<00:16:13.000> enjoy<00:16:13.959> or<00:16:14.120> a<00:16:14.279> game<00:16:14.480> that<00:16:14.600> would<00:16:14.759> be
actually enjoy or a game that would be
actually enjoy or a game that would be
great<00:16:15.199> to<00:16:15.399> rehabilitate<00:16:16.000> the<00:16:16.120> vision<00:16:16.399> of<00:16:16.600> my
great to rehabilitate the vision of my
great to rehabilitate the vision of my
grandson<00:16:17.639> who<00:16:17.959> has<00:16:18.360> ellopia<00:16:18.959> for<00:16:19.440> example
grandson who has ellopia for example
grandson who has ellopia for example
well<00:16:20.639> we're<00:16:20.839> working<00:16:21.199> on<00:16:21.360> it<00:16:22.240> but<00:16:22.680> here<00:16:23.240> is<00:16:23.399> a
well we're working on it but here is a
well we're working on it but here is a
challenge<00:16:24.639> there<00:16:24.759> are<00:16:24.880> brain<00:16:25.160> scientists
challenge there are brain scientists
challenge there are brain scientists
like<00:16:25.880> me<00:16:26.160> that<00:16:26.279> are<00:16:26.480> beginning<00:16:26.800> to<00:16:27.279> understand
like me that are beginning to understand
like me that are beginning to understand
what<00:16:27.720> are<00:16:28.000> the<00:16:28.160> good<00:16:28.399> ingredients<00:16:29.240> in<00:16:29.440> games
what are the good ingredients in games
what are the good ingredients in games
to<00:16:30.040> promote<00:16:30.839> uh<00:16:31.040> positive<00:16:31.519> effects<00:16:32.519> that's
to promote uh positive effects that's
to promote uh positive effects that's
what<00:16:32.839> I'm<00:16:32.959> going<00:16:33.120> to<00:16:33.319> call<00:16:33.560> the<00:16:33.759> broccoli<00:16:34.480> side
what I'm going to call the broccoli side
what I'm going to call the broccoli side
of<00:16:34.959> the
of the
of the
equation<00:16:37.360> there<00:16:37.600> is<00:16:38.079> an<00:16:38.240> entertainment
equation there is an entertainment
equation there is an entertainment
software<00:16:39.519> industry<00:16:40.440> which<00:16:40.560> is<00:16:40.839> extremely
software industry which is extremely
software industry which is extremely
deaf<00:16:42.160> at<00:16:42.440> coming<00:16:42.839> up<00:16:43.399> with<00:16:44.440> aing<00:16:45.440> products
deaf at coming up with aing products
deaf at coming up with aing products
that<00:16:46.160> you<00:16:46.399> can't<00:16:47.040> resist<00:16:48.040> that's<00:16:48.199> a<00:16:48.440> chocolate
that you can't resist that's a chocolate
that you can't resist that's a chocolate
side<00:16:49.600> of<00:16:49.759> the
side of the
side of the
equation<00:16:51.920> the<00:16:52.079> issue<00:16:52.319> is<00:16:52.440> we<00:16:52.560> need<00:16:52.720> to<00:16:52.920> put<00:16:53.120> the
equation the issue is we need to put the
equation the issue is we need to put the
two<00:16:53.800> together<00:16:54.560> and<00:16:54.720> it's<00:16:54.839> a<00:16:54.959> little<00:16:55.160> bit<00:16:55.360> like
two together and it's a little bit like
two together and it's a little bit like
with<00:16:55.920> food<00:16:56.560> who<00:16:56.880> really<00:16:57.199> wants<00:16:57.519> to<00:16:57.759> eat<00:16:58.519> ch
with food who really wants to eat ch
with food who really wants to eat ch
call<00:16:59.120> it<00:16:59.319> covered<00:16:59.800> broccoli<00:17:00.720> none<00:17:00.959> of<00:17:01.160> you<00:17:01.800> and
call it covered broccoli none of you and
call it covered broccoli none of you and
you<00:17:02.120> probably<00:17:02.399> have<00:17:02.560> had<00:17:02.759> that<00:17:02.920> feeling<00:17:03.480> right
you probably have had that feeling right
you probably have had that feeling right
picking<00:17:03.920> up<00:17:04.079> an<00:17:04.240> education<00:17:04.839> game<00:17:05.079> and<00:17:06.240> feeling
picking up an education game and feeling
picking up an education game and feeling
you<00:17:07.439> it's<00:17:07.600> not<00:17:07.799> really<00:17:08.039> fun<00:17:08.319> it's<00:17:08.480> not<00:17:08.640> really
you it's not really fun it's not really
you it's not really fun it's not really
engaging<00:17:09.720> so<00:17:09.959> what<00:17:10.120> we<00:17:10.319> need<00:17:10.760> is<00:17:10.959> really<00:17:11.199> a<00:17:11.360> new
engaging so what we need is really a new
engaging so what we need is really a new
brand<00:17:11.919> of<00:17:12.280> chocolate<00:17:13.280> a<00:17:13.439> brand<00:17:13.679> of<00:17:13.839> chocolate
brand of chocolate a brand of chocolate
brand of chocolate a brand of chocolate
that<00:17:14.880> is<00:17:15.160> irresistible<00:17:16.079> that<00:17:16.199> you<00:17:16.439> really
that is irresistible that you really
that is irresistible that you really
want<00:17:16.959> to<00:17:17.319> play<00:17:18.319> but<00:17:18.480> that<00:17:18.720> has<00:17:19.079> all<00:17:19.439> the
want to play but that has all the
want to play but that has all the
ingredients<00:17:20.199> the<00:17:20.360> good<00:17:20.559> ingredients<00:17:21.039> that
ingredients the good ingredients that
ingredients the good ingredients that
are<00:17:21.400> extracted<00:17:21.919> from<00:17:22.079> the<00:17:22.199> broccoli<00:17:23.039> that<00:17:23.199> you
are extracted from the broccoli that you
are extracted from the broccoli that you
can't<00:17:23.640> recognize<00:17:24.319> but<00:17:24.439> are<00:17:24.640> still<00:17:24.959> working<00:17:25.319> on
can't recognize but are still working on
can't recognize but are still working on
your<00:17:25.640> brains<00:17:26.559> and<00:17:26.679> we're<00:17:26.880> working<00:17:27.160> on<00:17:27.319> it<00:17:27.559> but
your brains and we're working on it but
your brains and we're working on it but
it<00:17:27.880> takes<00:17:28.160> to<00:17:28.520> come<00:17:29.120> and<00:17:29.240> to<00:17:29.400> get<00:17:29.720> together
it takes to come and to get together
it takes to come and to get together
brain<00:17:31.000> scientists<00:17:32.000> people<00:17:32.320> that<00:17:32.480> work<00:17:32.720> in<00:17:32.840> the
brain scientists people that work in the
brain scientists people that work in the
entertainment<00:17:33.559> software<00:17:34.160> industry<00:17:34.880> and
entertainment software industry and
entertainment software industry and
Publishers<00:17:35.880> so<00:17:36.080> these<00:17:36.240> are<00:17:36.400> not<00:17:36.600> people<00:17:36.840> that
Publishers so these are not people that
Publishers so these are not people that
usually<00:17:37.320> meet<00:17:37.720> every<00:17:38.000> day<00:17:38.280> but<00:17:38.440> it's<00:17:38.720> actually
usually meet every day but it's actually
usually meet every day but it's actually
doable<00:17:39.760> and<00:17:40.240> uh<00:17:40.360> we<00:17:40.480> are<00:17:41.120> on<00:17:41.280> the<00:17:41.480> right<00:17:41.679> track
doable and uh we are on the right track
doable and uh we are on the right track
I'd<00:17:42.600> like<00:17:42.760> to<00:17:43.000> leave<00:17:43.240> you<00:17:43.400> with<00:17:43.559> that<00:17:43.799> thought
I'd like to leave you with that thought
I'd like to leave you with that thought
and<00:17:44.520> thank<00:17:44.720> you<00:17:44.880> for<00:17:45.039> your
and thank you for your
and thank you for your
[Applause]
attention
Daphne Bavelier, video, games, games, cognition, brain
