Your brain on video games | Daphne Bavelier

6,755,180 views ใƒป 2012-11-19

TED


์•„๋ž˜ ์˜๋ฌธ์ž๋ง‰์„ ๋”๋ธ”ํด๋ฆญํ•˜์‹œ๋ฉด ์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค.

00:00
Translator: Joseph Geni Reviewer: Morton Bast
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๋ฒˆ์—ญ: K Bang ๊ฒ€ํ† : Hye Won Oh
00:15
I'm a brain scientist, and as a brain scientist,
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์ €๋Š” ๋‡Œ๊ณผํ•™์ž์ž…๋‹ˆ๋‹ค. ๋‡Œ๊ณผํ•™์ž๋กœ์„œ
00:18
I'm actually interested in how the brain learns,
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์‚ฌ์‹ค ์ €๋Š” ๋‡Œ๊ฐ€ ์–ด๋–ป๊ฒŒ ํ•™์Šตํ•˜๋Š”์ง€์— ๊ด€์‹ฌ์ด ์žˆ์Šต๋‹ˆ๋‹ค.
00:22
and I'm especially interested in a possibility of
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ํŠนํžˆ ์ €๋Š”, ์ธ๊ฐ„์˜ ๋‡Œ๊ฐ€ ๋” ๋˜‘๋˜‘ํ•ด์ง€๊ณ , ๋นจ๋ผ์งˆ ์ˆ˜ ์žˆ๋Š”
00:25
making our brains smarter, better and faster.
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๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š”์ง€์— ๊ด€์‹ฌ์ด ์žˆ์–ด์š”.
00:30
This is in this context I'm going to tell you
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์ด๋Ÿฐ ๋‚ด์šฉ์— ๊ด€ํ•ด์„œ ์ €๋Š” ๋น„๋””์˜ค ๊ฒŒ์ž„์— ๋Œ€ํ•ด์„œ
00:32
about video games. When we say video games,
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๋ง์”€๋“œ๋ฆฌ๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ๊ฒŒ์ž„์„ ๋งํ•˜๋ฉด
00:35
most of you think about children.
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์—ฌ๋Ÿฌ๋ถ„๋“ค ๋Œ€๋ถ€๋ถ„์€ ์•„์ด๋“ค์„ ์ƒ๊ฐํ•˜์‹œ๊ฒ ์ฃ .
00:38
It's true. Ninety percent of children do play video games.
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๊ทธ๋ ‡์Šต๋‹ˆ๋‹ค. ์–ด๋ฆฐ ์•„์ด๋“ค์˜ 90%๊ฐ€ ๋น„๋””์˜ค ๊ฒŒ์ž„์„ ํ•˜์ฃ .
00:42
But let's be frank.
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๊ทธ๋Ÿฐ๋ฐ, ์ข€ ์†”์งํ•ด์ง€์ฃ .
00:45
When the kids are in bed, who is in front of the PlayStation?
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์•„์ด๋“ค์ด ์ž ๋“ค๋ฉด, ๋ˆ„๊ฐ€ ํ”„๋ ˆ์ด์Šคํ…Œ์ด์…˜ ์•ž์— ์•‰์•„์žˆ์ฃ ?
00:49
Most of you. The average age of a gamer is 33 years old,
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์—ฌ๋Ÿฌ๋ถ„๋“ค ๋Œ€๋ถ€๋ถ„์ด์ฃ . ๊ฒŒ์ž„ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์˜ ํ‰๊ท  ์—ฐ๋ น์€ 33์„ธ ์ž…๋‹ˆ๋‹ค.
00:56
not eight years old, and in fact, if we look
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8์‚ด์งœ๋ฆฌ๊ฐ€ ์•„๋‹ˆ๊ณ ์š”. ์‚ฌ์‹ค ๋น„๋””์˜ค ๊ฒŒ์ž„์˜
00:59
at the projected demographics of video game play,
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์˜ˆ์ƒ๋˜๋Š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋ณด๋ฉด
01:03
the video game players of tomorrow are
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๋ฏธ๋ž˜์˜ ๋น„๋””์˜ค ๊ฒŒ์ž„ ํ”Œ๋ ˆ์ด์–ด๋Š”
01:05
older adults. (Laughter)
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๋” ๋‚˜์ด๊ฐ€ ๋งŽ์€ ์„ฑ์ธ๋“ค์ž…๋‹ˆ๋‹ค. (์›ƒ์Œ)
01:09
So video [gaming] is pervasive throughout our society.
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๋น„๋””์˜ค ๊ฒŒ์ž„์€ ์šฐ๋ฆฌ ์‚ฌํšŒ์— ๋„๋ฆฌ ํผ์ ธ์žˆ์Šต๋‹ˆ๋‹ค.
01:13
It is clearly here to stay. It has an amazing impact
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๋ถ„๋ช…ํžˆ ์—ฌ๊ธฐ ์žˆ๋Š”๊ฑฐ์ฃ . ๋น„๋””์˜ค ๊ฒŒ์ž„์€ ์šฐ๋ฆฌ์˜ ์ผ์ƒ ์ƒํ™œ์—
01:17
on our everyday life. Consider these statistics
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๋†€๋ผ์šธ ์ •๋„์˜ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด์š”. Activision์ด ๋‚ด๋†“์€
01:21
released by Activision. After one month of release
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์ด ํ†ต๊ณ„ ์ž๋ฃŒ๋ฅผ ๋ณด์„ธ์š”. ์—ฌ๊ธฐ ์ด ๊ฒŒ์ž„
01:26
of the game "Call Of Duty: Black Ops," it had been played
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"Call Of Duty: Black Ops"๋ผ๋Š” ๊ฒŒ์ž„์ด ์ถœ์‹œ๋œ์ง€
01:31
for 68,000 years
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ํ•œ๋‹ฌ ๋งŒ์— ์ „์„ธ๊ณ„์ ์œผ๋กœ
01:34
worldwide, right?
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๋„ํ•ฉ 68,000๋…„์ด๋‚˜ ์‹คํ–‰๋˜์—ˆ์–ด์š”.
01:36
Would any of you complain if this was the case
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์ด ์‹œ๊ฐ„์ด ์„ ํ˜•๋Œ€์ˆ˜ํ•™์„ ํ•˜๋Š” ๊ฒฝ์šฐ๋ผ๋ฉด
01:39
about doing linear algebra?
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๋ˆ„๊ฐ€ ๋ถˆํ‰์„ ํ•˜๊ฒ ์Šต๋‹ˆ๊นŒ?
01:42
So what we are asking in the lab is, how can we leverage that power?
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๊ทธ๋ž˜์„œ ์ €ํฌ ์‹คํ—˜์‹ค์—์„œ ์˜๋ฌธ์„ ๊ฐ–๋Š” ๊ฒƒ์€ ์–ด๋–ป๊ฒŒ ๊ทธ๋Ÿฐ ํž˜์„ ์ง€๋ ›๋Œ€ ์‚ผ์„ ์ˆ˜ ์žˆ๊ฒ ๋Š”๊ฐ€ ํ•˜๋Š” ๊ฒ๋‹ˆ๋‹ค.
01:46
Now I want to step back a bit.
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์ง€๊ธˆ ํ˜„์žฌ๋Š” ํ•œ ๋ฐœ์ง ๋ฌผ๋Ÿฌ๋‚˜๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.
01:48
I know most of you have had the experience of coming back
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์ €๋Š” ์—ฌ๋Ÿฌ๋ถ„๋“ค ๋Œ€๋ถ€๋ถ„์ด ์ง‘์— ์™”์„ ๋•Œ,
01:52
home and finding your kids playing these kinds of games.
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์•„์ด๋“ค์ด ์ด๋Ÿฐ ๋ฅ˜์˜ ๊ฒŒ์ž„์„ ํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์„ ๋ณด์‹  ๊ฒฝํ—˜์ด ์žˆ๋‹ค๋Š” ๊ฑธ ์••๋‹ˆ๋‹ค
01:56
(Shooting noises) The name of the game is to get
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(์ถฉ์˜๋Š” ์†Œ๋ฆฌ) ์ด ๊ฒŒ์ž„์˜ ์ด๋ฆ„์€
01:58
after your enemy zombie bad guys
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๋‚˜์œ ๋…€์„๋“ค์ธ ์ข€๋น„๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„์„ ์žก๊ธฐ ์ „์—
02:01
before they get to you, right?
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์ ์ธ ์ข€๋น„๋ฅผ ์žก๋Š” ๊ฒƒ์„ ๋”ฐ๋ผ ์ง€์—ˆ์–ด์š”.
02:05
And I'm almost sure most of you have thought,
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์ €๋Š” ์—ฌ๋Ÿฌ๋ถ„๋“ค ๋Œ€๋ถ€๋ถ„์ด ์ด๋ž—๊ฒŒ ์ƒ๊ฐํ•˜์‹œ๋ฆฌ๋ผ๋Š” ๊ฒƒ์„ ์••๋‹ˆ๋‹ค.
02:08
"Oh, come on, can't you do something more intelligent
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"์ œ๋ฐœ, ์ข€๋น„์—๊ฒŒ ์ด ์˜๋Š” ๊ฒƒ๋ณด๋‹ค ์ข€ ๋”
02:11
than shooting at zombies?"
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์ง€์ ์ธ ๊ฒƒ์„ ํ•  ์ˆ˜๋Š” ์—†์„๊นŒ?" ๋ผ๊ณ ์š”.
02:15
I'd like you to put this kind of knee-jerk reaction
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์ €๋Š” ์ด๋Ÿฐ ์กฐ๊ฑด๋ฐ˜์‚ฌ์ ์ธ ํ–‰๋™์„
02:18
in the context of what you would have thought
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์•„์ด๋“ค์ด ์ˆ˜๋„์ฟ (sudoku)๋ฅผ ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค๋“ ๊ฐ€
02:21
if you had found your girl playing sudoku
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์…ฐ์ต์Šคํ”ผ์–ด๋ฅผ ์ฝ์—ˆ์œผ๋ฉด
02:24
or your boy reading Shakespeare. Right?
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์—ฌ๋Ÿฌ๋ถ„์ด ๊ฐ€์ง€์…จ์„ ์ƒ๊ฐ๊ณผ ๊ฐ™์€ ๋งฅ๋ฝ์œผ๋กœ ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.
02:29
Most parents would find that great.
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๋Œ€๋ถ€๋ถ„์˜ ๋ถ€๋ชจ๋“ค์€ ๊ทธ๊ฑธ ๋Œ€๋‹จํ•œ ๊ฒƒ์œผ๋กœ ๋ณด์‹œ๊ฒ ์ฃ .
02:31
Well, I'm not going to tell you that playing video games
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์Œ, ์ €๋Š” ๋น„๋””์˜ค ๊ฒŒ์ž„์„ ๋ฐค๋‚ฎ์—†์ด ํ•˜๋Š” ๊ฒƒ์ด ๊ฑด๊ฐ•์— ์ข‹๋‹ค๊ณ 
02:35
days in and days out is actually good for your health.
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๋งํ•˜๋ ค๋Š” ๊ฒƒ์ด ์•„๋‹™๋‹ˆ๋‹ค.
02:38
It's not, and binging is never good.
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์•ˆ๊ทธ๋ž˜์š”, ์ง€๋‚˜์นœ ๊ฒƒ์€ ์ ˆ๋Œ€๋กœ ์ข‹์ง€ ์•Š์•„์š”.
02:41
But I'm going to argue that in reasonable doses,
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ํ•˜์ง€๋งŒ ์ ๋‹นํžˆ ํ•˜๋ฉด,
02:45
actually the very game I showed you at the beginning,
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์ œ๊ฐ€ ์ฒ˜์Œ์— ๋ณด์—ฌ๋“œ๋ฆฐ ์ด ๊ฒŒ์ž„์€ ์‚ฌ์‹ค,
02:48
those action-packed shooter games
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๊ทธ ์•ก์…˜์œผ๋กœ ๊ฝ‰ ์ฐฌ ์ด์˜๊ธฐ ๊ฒŒ์ž„๋“ค์€
02:50
have quite powerful effects and positive effects
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์—ฌ๋Ÿฌ๊ฐ€์ง€ ์ธก๋ฉด์—์„œ ์šฐ๋ฆฌ์˜ ํ–‰๋™์—
02:54
on many different aspects of our behavior.
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๊ฐ•๋ ฅํ•˜๊ณ  ๊ธ์ •์ ์ธ ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
02:58
There's not one week that goes without some major
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๊ฑฐ์˜ ๋งค์ฃผ ๋ฏธ๋””์–ด ๋งค์ฒด์—๋Š” ๋น„๋””์˜ค ๊ฒŒ์ž„์ด ์ข‹์€์ง€
03:02
headlines in the media about whether video games are
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๋‚˜์œ์ง€์— ๋Œ€ํ•œ ์ฃผ์š” ์ œ๋ชฉ์˜ ๊ธฐ์‚ฌ๊ฐ€ ๋‚˜์˜ต๋‹ˆ๋‹ค.
03:05
good or bad for you, right? You're all bombarded with that.
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์—ฌ๋Ÿฌ๋ถ„๋“ค์€ ๋ชจ๋‘ ๊ทธ๋Ÿฐ ๊ฒƒ๋กœ ๋‘˜๋Ÿฌ์‹ธ์—ฌ ์žˆ์ฃ .
03:09
I'd like to put this kind of Friday night bar discussion aside
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์ €๋Š” ๊ธˆ์š”์ผ ๋ฐค ๋ฐ”์—์„œ ์ด๋Ÿฐ ์ข…๋ฅ˜์˜ ๋…ผ์˜๋ฅผ ํ•˜๋Š” ๊ฒƒ์€ ์ œ์ณ๋‘๊ณ 
03:15
and get you to actually step into the lab.
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์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ์‹ค์ œ๋กœ ์‹คํ—˜์‹ค๋กœ ๋“ค์–ด๊ฐ€ ๋ณด์‹œ๊ฒŒ ํ•˜๊ณ  ์‹ถ์–ด์š”.
03:18
What we do in the lab is actually measure directly,
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์ €ํฌ ์‹คํ—˜์‹ค์—์„œ ํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์€ ์‚ฌ์‹ค ์ง์ ‘์ ์ธ ์ธก์ •์ด์—์š”.
03:21
in a quantitative fashion, what is the impact
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์ˆ˜๋Ÿ‰์ ์œผ๋กœ ๋น„๋””์˜ค ๊ฒŒ์ž„์ด ๋‘๋‡Œ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„
03:24
of video games on the brain.
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์ธก์ •ํ•ฉ๋‹ˆ๋‹ค.
03:26
And so I'm going to take a few examples from our work.
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์ €ํฌ๊ฐ€ ํ•˜๊ณ  ์žˆ๋Š” ์ž‘์—… ๊ฐ€์šด๋ฐ ๋ช‡๊ฐ€์ง€ ์˜ˆ๋ฅผ ๋“ค์–ด ๋ณด์ด์ฃ .
03:30
One first saying that I'm sure you all have heard
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์—ฌ๋Ÿฌ๋ถ„ ๋ชจ๋‘๊ฐ€ ๋“ค์–ด ๋ณด์…จ์„ ์ฒซ๋ฒˆ์งธ ์ด์•ผ๊ธฐ๋Š”
03:32
is the fact that too much screen time
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ํ™”๋ฉด์„ ๋„ˆ๋ฌด ์˜ค๋ž˜ ๋ณด๋ฉด
03:35
makes your eyesight worse.
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์‹œ๋ ฅ์ด ๋‚˜๋น ์ง„๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
03:37
That's a statement about vision.
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๊ทธ๊ฑด ์‹œ๋ ฅ์— ๋Œ€ํ•œ ์ด์•ผ๊ธฐ๊ตฌ์š”.
03:40
There may be vision scientists among you.
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์—ฌ๋Ÿฌ๋ถ„๋“ค ์ค‘์—๋„ ์‹œ๊ฐ ๊ด€๋ จ ์ „๋ฌธ๊ฐ€๊ฐ€ ๋งŽ์ด ๊ณ„์‹ค ๊ฒ๋‹ˆ๋‹ค.
03:42
We actually know how to test that statement.
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์ €ํฌ๋Š” ๊ทธ๋Ÿฐ๊ฑธ ์–ด๋–ป๊ฒŒ ์‹คํ—˜ํ•˜๋Š”์ง€ ์•Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
03:45
We can step into the lab and measure how good your vision is.
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์‹คํ—˜์‹ค๋กœ ๋“ค์–ด๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„์˜ ์‹œ๋ ฅ์ด ์–ผ๋งˆ๋‚˜ ์ข‹์€์ง€ ์ธก์ •ํ•ญ ์ˆ˜ ์žˆ์–ด์š”.
03:49
Well, guess what? People that don't play a lot
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์˜ˆ์ƒํ•ด ๋ณด์‹œ๊ฒ ์–ด์š”? ์•ก์…˜ ๊ฒŒ์ž„์„ ๋งŽ์ด ํ•˜์ง€ ์•Š๋Š” ์‚ฌ๋žŒ๋“ค,
03:52
of action games, that don't actually spend a lot of time
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์ฆ‰ ์‹ค์ œ๋กœ ํ™”๋ฉด ์•ž์—์„œ ๋งŽ์€ ์‹œ๊ฐ„์„ ๋ณด๋‚ด์ง€ ์•Š๋Š”
03:55
in front of screens, have normal, or what we call
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์‚ฌ๋žŒ๋“ค์€ ์ •์ƒ์ ์ธ, ๊ทธ๋Ÿฌ๋‹ˆ๊นŒ ์šฐ๋ฆฌ๊ฐ€ ๋งํ•˜๋Š”
03:59
corrective-to-normal vision. That's okay.
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"๊ต์ • ๋˜๋Š” ์ •์ƒ"์ธ ์‹œ๊ฐ์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๊ฑด ์ข‹์•„์š”.
04:01
The issue is what happens with these guys that actually
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๋ฌธ์ œ๋Š” ๋น„๋””์˜ค ๊ฒŒ์ž„์— ๋ชฐ๋‘ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์—๊ฒŒ
04:04
indulge into playing video games like five hours per week,
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์–ด๋–ค ์ผ์ด ์ผ์–ด๋‚œ๊ฐ€ ํ•˜๋Š” ๊ฒ๋‹ˆ๋‹ค. ์ฃผ๋‹น 5์‹œ๊ฐ„,
04:07
10 hours per week, 15 hours per week.
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์ฃผ๋‹น 10์‹œ๊ฐ„, ์ฃผ๋‹น 15์‹œ๊ฐ„, ์ด๋Ÿฐ ์‹์œผ๋กœ์š”.
04:09
By that statement, their vision should be really bad, right?
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์•ž์— ๋ง์”€๋“œ๋ฆฐ ๋‚ด์šฉ์— ์˜ํ•˜๋ฉด, ์ด๋Ÿฐ ์‚ฌ๋žŒ๋“ค์˜ ์‹œ๋ ฅ์€ ์ ˆ๋ง ๋‚˜๋น ์•ผ ํ•˜๊ฑฐ๋“ ์š”. ๊ทธ๋ ‡๊ฒ ์ฃ ?
04:12
Guess what? Their vision is really, really good.
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๊ทธ๊ฑฐ ์•„์„ธ์š”? ์ด ์‚ฌ๋žŒ๋“ค์˜ ์‹œ๋ ฅ์€ ์ •๋ง๋กœ ์ข‹์Šต๋‹ˆ๋‹ค.
04:15
It's better than those that don't play.
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๊ฒŒ์ž„์„ ํ•˜์ง€ ์•Š๋Š” ์‚ฌ๋žŒ๋“ค๋ณด๋‹ค๋„ ๋” ์ข‹์Šต๋‹ˆ๋‹ค.
04:17
And it's better in two different ways.
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๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ์ธก๋ฉด์—์„œ ๋” ์ข‹์€๋ฐ์š”.
04:20
The first way is that they're actually able to resolve
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ํ•˜๋‚˜๋Š” ์ด ์‚ฌ๋žŒ๋“ค์ด ๋ณต์žกํ•˜๊ฒŒ ์ฑ„์›Œ์ง„ ๋‚ด์šฉ์—์„œ
04:22
small detail in the context of clutter, and though that means
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์•„์ฃผ ์ž‘์€ ๋ฏธ์„ธํ•œ ๊ฒƒ์„ ์ฐพ์•„ ๋‚ธ๋‹ค๋Š” ๊ฒƒ์ด๊ณ , ๋น„๋ก ๊ทธ๊ฒƒ์ด ๋‹๋ณด๊ธฐ ๋Œ€์‹ 
04:25
being able to read the fine print on a prescription
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์ฒ˜๋ฐฉ ์•ˆ๊ฒฝ์„ ์“ฐ๊ณ  ์ž‘์€ ๊ธ€์”จ๋ฅผ ์ฝ์„ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์„
04:29
rather than using magnifier glasses, you can actually do it
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๋œปํ•˜๊ธฐ๋Š” ํ•˜์ง€๋งŒ, ์‚ฌ์‹ค ์•ˆ๊ฒฝ ์—†์ด๋„
04:34
with just your eyesight.
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๋˜‘๊ฐ™์Šต๋‹ˆ๋‹ค.
04:35
The other way that they are better is actually being able
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๋‹ค๋ฅธ ์ธก๋ฉด์€ ๊ทธ๋“ค์ด ๋‹ค๋ฅธ ์ˆ˜์ค€์˜ ํšŒ์ƒ‰์„ ๊ตฌ๋ณ„ํ•ด ๋‚ด๋Š”๋ฐ
04:38
to resolve different levels of gray.
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๋” ํƒ์›”ํ•˜๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค.
04:41
Imagine you're driving in a fog. That makes a difference
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์•ˆ๊ฐœ ์†์—์„œ ์šด์ „ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ด ๋ณด์„ธ์š”.
04:44
between seeing the car in front of you
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ํšŒ์ƒ‰์„ ๊ตฌ๋ณ„ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์€ ์•ž์— ์žˆ๋Š” ์ฐจ๋ฅผ
04:47
and avoiding the accident, or getting into an accident.
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๋ณด๊ณ  ์ฐจ๋ฅผ ํ”ผํ•  ์ˆ˜ ์žˆ๊ฑฐ๋‚˜, ์‚ฌ๊ณ ๋ฅผ ๋‚ด๋Š” ์ฐจ์ด์ ์ธ ๊ฒ๋‹ˆ๋‹ค.
04:50
So we're actually leveraging that work to develop games
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๊ทธ๋ž˜์„œ ์šฐ๋ฆฌ๋Š” ์‹ค์ œ๋กœ ์•ฝํ•œ ์‹œ๋ ฅ์„ ๊ฐ–๊ณ  ์žˆ๋Š” ํ™˜์ž๋ฅผ ์œ„ํ•œ
04:53
for patients with low vision, and to have an impact
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๋น„๋””์˜ค ๊ฒŒ์ž„์„ ๊ฐœ๋ฐœํ•˜์—ฌ, ๊ทธ๋“ค์˜ ๋‘๋‡Œ๊ฐ€ ๋” ์ž˜ ๋ณผ ์ˆ˜ ์žˆ๋Š”
04:58
on retraining their brain to see better.
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์ƒํƒœ๋ฅผ ์œ ์ง€ํ•˜๋Š” ํšจ๊ณผ๋ฅผ ์–ป์–ด๋‚ด๋ ค๊ณ  ํ•˜๊ณ  ์žˆ์–ด์š”.
05:01
Clearly, when it comes to action video games,
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์•ก์…˜ ๋น„๋””์˜ค ๊ฒŒ์ž„๊ณผ ๊ด€๋ จํ•ด์„œ, ํ™”๋ฉด์„ ๋ณด๋Š” ์‹œ๊ฐ„์€
05:05
screen time doesn't make your eyesight worse.
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๋ถ„๋ช…ํžˆ ์—ฌ๋Ÿฌ๋ถ„๋“ค์˜ ์‹œ๋ ฅ์„ ์•…ํ™”์‹œํ‚ค์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
05:08
Another saying that I'm sure you have all heard around:
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์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ๋ถ„๋ช…ํžˆ ๋“ค์–ด ๋ณด์…จ์„ ์ด์•ผ๊ธฐ๊ฐ€ ๋˜ ์žˆ์ฃ :
05:12
Video games lead to attention problems and greater distractability.
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๋น„๋””์˜ค ๊ฒŒ์ž„์€ ์ง‘์ค‘๋ ฅ์— ๋ฌธ์ œ๋ฅผ ์ผ์œผ์ผœ ์‚ฐ๋งŒํ•˜๊ฒŒ ๋œ๋‹ค๋Š” ๊ฒƒ์ด์š”.
05:16
Okay, we know how to measure attention in the lab.
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์ข‹์•„์š”, ์ €ํฌ๋Š” ์‹คํ—˜์‹ค์—์„œ ์ง‘์ค‘๋ ฅ์„ ์‹คํ—˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์•Œ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
05:20
I'm actually going to give you an example of how we do so.
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์šฐ๋ฆฌ๊ฐ€ ์–ด๋–ป๊ฒŒ ํ•˜๋Š”์ง€ ์‹ค์ œ ์˜ˆ๋ฅผ ํ•˜๋‚˜ ๋ณด์—ฌ๋“œ๋ฆฌ๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.
05:24
I'm going to ask you to participate, so you're going to have
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์ œ๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ์ฐธ์—ฌํ•ด์ฃผ์‹ญ์‚ฌ๊ณ  ๋ถ€ํƒ๋“œ๋ฆด๊ฑด๋ฐ์š”, ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด
05:26
to actually play the game with me. I'm going to show you
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์‹ค์ œ๋กœ ์ €์™€ ๊ฒŒ์ž„์„ ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ œ๊ฐ€ ์ƒ‰์ด ์น ํ•ด์ง„
05:29
colored words. I want you to shout out the color of the ink.
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๊ธ€์ž๋ฅผ ๋ณด์—ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋ฉด ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ๊ทธ ์ƒ‰๊น”์„ ํฌ๊ฒŒ ์™ธ์น˜๋Š” ๊ฒ๋‹ˆ๋‹ค.
05:35
Right? So this is the first example.
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์•„์‹œ๊ฒ ์ฃ ? ์ด๊ฒƒ์ด ์ฒซ ๋ฒˆ์งธ ์˜ˆ์ž…๋‹ˆ๋‹ค.
05:38
["Chair"]
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["์˜์ž'}
05:39
Orange, good. ["Table"] Green.
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์˜ค๋ Œ์ง€, ์ข‹์Šต๋‹ˆ๋‹ค. ["ํƒ์ž"] ๋…น์ƒ‰.
05:42
["Board"] Audience: Red.Daphne Bavelier: Red.
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["์น ํŒ"] ์ฒญ์ฃผ์ด ๋นจ๊ฐ•. ๊ฐ•์—ฐ์ž : ๋นจ๊ฐ•.
05:44
["Horse"] DB: Yellow. Audience: Yellow.
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["๋ง"] ๊ฐ•์—ฐ์ž: ๋…ธ๋ž‘. ์ฒญ์ค‘: ๋…ธ๋ž‘.
05:45
["Yellow"] DB: Red. Audience: Yellow.
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["๋…ธ๋ž‘"] ๊ฐ•์—ฐ์ž: ๋นจ๊ฐ•. ์ฒญ์ค‘: ๋นจ๊ฐ•.
05:46
["Blue"] DB: Yellow.
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["ํŒŒ๋ž‘"] ๊ฐ•์—ฐ์ž: ๋…ธ๋ž‘
05:48
Okay, you get my point, right? (Laughter)
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์ข‹์Šต๋‹ˆ๋‹ค. ์ œ๊ฐ€ ๋ง์”€๋“œ๋ฆฌ๋ ค๋Š”๊ฑธ ์•„์‹œ๊ฒ ์ฃ ? (์›ƒ์Œ)
05:54
You're getting better, but it's hard. Why is it hard?
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์ ์  ๋” ์ž˜ ํ•˜์‹œ๋Š”๋ฐ์š”. ํ•˜์ง€๋งŒ ์–ด๋ ต์ฃ . ์™œ ์–ด๋ ค์šธ๊นŒ์š”?
05:58
Because I introduced a conflict between
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๊ทธ๊ฑด ์ œ๊ฐ€ ๋‹จ์–ด ์ž์ฒด์™€ ์ƒ‰ ์‚ฌ์ด์—
06:02
the word itself and its color.
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๊ฐˆ๋“ฑ ์š”์†Œ๋ฅผ ๋„ฃ์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด์—์š”.
06:04
How good your attention is determines actually how fast
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์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ์–ผ๋งˆ๋‚˜ ์ž˜ ์ง‘์ค‘ํ•˜๋Š๋ƒ๊ฐ€ ์‚ฌ์‹ค
06:07
you resolve that conflict, so the young guys here
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๊ทธ๋Ÿฐ ๊ฐˆ๋“ฑ์„ ์–ผ๋งˆ๋‚˜ ์ž˜ ํ•ด๊ฒฐํ•˜๋Š”๊ฐ€๋ฅผ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋ž˜์„œ
06:10
at the top of their game probably, like, did a little better
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์•„๋งˆ๋„, ์ž๊ธฐ๊ฐ€ ํ•˜๋Š” ๊ฒŒ์ž„์—์„œ ์ตœ๊ณ ์ ์„ ๊ธฐ๋กํ•˜๋Š” ๋‚จ์ž๋“ค์ด, ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ,
06:13
than some of us that are older.
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๋‚˜์ด๋“  ์šฐ๋ฆฌ๋“ค๋ณด๋‹ค ์กฐ๊ธˆ ๋” ์ž˜ ํ–ˆ์Šต๋‹ˆ๋‹ค.
06:15
What we can show is that when you do this kind of task
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์ €ํฌ๊ฐ€ ๋ณด์—ฌ๋“œ๋ฆด ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์€ ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ์•ก์…˜ ๊ฒŒ์ž„์„
06:18
with people that play a lot of action games,
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๋งŽ์ด ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค๊ณผ ํ•จ๊ป˜ ์ด๋Ÿฐ ์ข…๋ฅ˜์˜ ์ผ์„ ํ•˜๊ฒŒ ๋˜๋ฉด
06:19
they actually resolve the conflict faster.
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๊ทธ ์‚ฌ๋žŒ๋“ค์ด ์‹ค์ œ๋กœ ๊ฐˆ๋“ฑ์„ ๋” ๋นจ๋ฆฌ ํ•ด๊ฒฐํ•œ๋‹ค๋Š” ์  ์ž…๋‹ˆ๋‹ค.
06:23
So clearly playing those action games doesn't lead
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๊ทธ๋Ÿฌ๋‹ˆ๊นŒ ์•ก์…˜ ๊ฒŒ์ž„์„ ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์—๊ฒŒ๋Š” ๋ถ„๋ช…
06:26
to attention problems.
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์ฃผ์˜๋ ฅ ๋ฌธ์ œ๊ฐ€ ์ผ์–ด๋‚˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
06:28
Actually, those action video game players have
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์‚ฌ์‹ค, ์•ก์…˜ ๊ฒŒ์ž„์„ ํ•˜๋Š” ๊ทธ ์‚ฌ๋žŒ๋“ค์€
06:30
many other advantages in terms of attention, and one
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์ง‘์ค‘์— ๊ด€ํ•ด์„œ ๋‹ค๋ฅธ ๋งŽ์€ ์ž‡์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด์š”.
06:33
aspect of attention which is also improved for the better
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๊ฒŒ์ž„์„ ์ž˜ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด ํ–ฅ์ƒ๋œ ์ง‘์ค‘์˜ ํ•œ ์ธก๋ฉด์€
06:35
is our ability to track objects around in the world.
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์„ธ์ƒ์—์„œ ์ฃผ๋ณ€์— ์žˆ๋Š” ๋ฌผ์ฒด๋ฅผ ์ถ”์ ํ•˜๋Š” ๋Šฅ๋ ฅ์ž…๋‹ˆ๋‹ค.
06:40
This is something we use all the time. When you're driving,
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์ด๊ฑด ์šฐ๋ฆฌ๊ฐ€ ํ•ญ์ƒ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด์ฃ . ์šด์ „์„ ํ•  ๋•Œ,
06:43
you're tracking, keeping track of the cars around you.
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์ถ”์ ํ•ฉ๋‹ˆ๋‹ค. ์ฃผ๋ณ€์˜ ์ฐจ๋ฅผ ๊ณ„์†ํ•ด์„œ ์ถ”์ ํ•˜๊ณ  ์žˆ๋Š”๊ฑฐ์ฃ .
06:46
You're also keeping track of the pedestrian, the running dog,
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๊ธธ์„ ๊ฑท๋Š” ์‚ฌ๋žŒ์ด๋‚˜ ๋›ฐ์–ด๊ฐ€๋Š” ๊ฐœ๋„ ์ถ”์ ํ•ฉ๋‹ˆ๋‹ค.
06:49
and that's how you can actually be safe driving, right?
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์‚ฌ์‹ค ๊ทธ๋ž˜์•ผ ์•ˆ์ „ํ•˜๊ฒŒ ์šด์ „ํ•  ์ˆ˜ ์žˆ์ž–์•„์š”?
06:52
In the lab, we get people to come to the lab,
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์‹คํ—˜์‹ค์—์„œ ์šฐ๋ฆฌ๋Š” ์‚ฌ๋žŒ๋“ค๋กœ ํ•˜์—ฌ๊ธˆ ์‹คํ—˜์‹ค์— ์™€
06:55
sit in front of a computer screen, and we give them
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์ปดํ“จํ„ฐ ํ™”๋ฉด ์•ž์— ์•‰์•„์„œ ๋งž์ดํ•ฉ๋‹ˆ๋‹ค.
06:57
little tasks that I'm going to get you to do again.
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์ œ๊ฐ€ ์ด์ œ ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ํ•ด๋ณด์‹œ๋ผ๊ณ  ๋“œ๋ฆด ์ž‘์€ ์ž„๋ฌด๋ฅผ ๊ทธ๋“ค์—๊ฒŒ๋„ ์ฃผ์ฃ .
07:00
You're going to see yellow happy faces
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์—ฌ๋Ÿฌ๋ถ„๋“ค์€ ๋…ธ๋ž€์ƒ‰์˜ ํ–‰๋ณตํ•œ ์–ผ๊ตด๊ณผ
07:03
and a few sad blue faces. These are children
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๋ช‡๋ช‡ ์Šฌํ”„๊ฒŒ ํŒŒ๋ž€ ์–ผ๊ตด๋„ ๋ณด์‹œ๊ฒ ์ฃ . ์ด๊ฒƒ์€
07:07
in the schoolyard in Geneva during a recess
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์ œ๋„ค๋ฐ”์— ์žˆ๋Š” ํ•™๊ต์—์„œ ์‰ฌ๋Š” ์‹œ๊ฐ„ ๋™์•ˆ์˜ ์•„์ด๋“ค ๋ชจ์Šต์ž…๋‹ˆ๋‹ค.
07:11
during the winter. Most kids are happy. It's actually recess.
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๊ฒจ์šธ์ด์ฃ . ๋Œ€๋ถ€๋ถ„์˜ ์•„์ด๋“ค์€ ํ–‰๋ณตํ•ฉ๋‹ˆ๋‹ค. ์‰ฌ๋Š” ์‹œ๊ฐ„์ด๋‹ˆ๊นŒ์š”.
07:15
But a few kids are sad and blue because they've forgotten their coat.
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ํ•˜์ง€๋งŒ ๋ช‡๋ช‡ ์•„์ด๋“ค์€ ์Šฌํ”„๊ณ  ์šฐ์šธํ•ด ๋ณด์ž…๋‹ˆ๋‹ค. ์ฝ”ํŠธ์„ ์žƒ์–ด๋ฒ„๋ ธ๊ธฐ ๋•Œ๋ฌธ์ธ๋ฐ์š”,
07:18
Everybody begins to move around, and your task
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๋ชจ๋“  ์‚ฌ๋žŒ๋“ค์ด ์›€์ง์ด๊ธฐ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๋Ÿฌ๋ถ„๋“ค์˜ ์ž„๋ฌด๋Š”
07:22
is to keep track of who had a coat at the beginning
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๋ˆ„๊ฐ€ ์ฒ˜์Œ์— ์ฝ”ํŠธ๋ฅผ ์ž…๊ณ  ์žˆ์—ˆ๋Š”์ง€ ๋ˆ„๊ฐ€ ์ž…๊ณ  ์žˆ์ง€ ์•Š์•˜๋Š”์ง€
07:25
and who didn't. So I'm just going to show you an example
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์ถ”์ ํ•ฉ๋‹ˆ๋‹ค. ์Šฌํ”ˆ ์•„์ด๊ฐ€ ๋‹จ ํ•œ ๋ช…๋งŒ ์žˆ๋Š” ์˜ˆ๋ฅผ
07:27
where there is only one sad kid. It's easy because you can
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๋ณด์—ฌ๋“œ๋ฆฌ์ฃ . ์ด๊ฑด ์‰ฌ์›Œ์š”. ์™œ๋ƒํ•˜๋ฉด
07:30
actually track it with your eyes. You can track,
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์ด๊ฑด ๋ˆˆ์œผ๋กœ ๋”ฐ๋ผ๊ฐˆ ์ˆ˜ ์žˆ์œผ๋‹ˆ๊นŒ์š”. ์ถ”์ ํ•˜๊ณ ,
07:32
you can track, and then when it stops, and there is
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๋˜ ์ถ”์ ํ•˜๋‹ค, ๋ฉˆ์ถ”๊ฒŒ ๋˜๋ฉด
07:35
a question mark, and I ask you, did this kid have a coat or not?
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์˜๋ฌธ ๋ถ€ํ˜ธ๊ฐ€ ์žˆ์–ด์š”. ์ œ๊ฐ€ ๋ฌป์Šต๋‹ˆ๋‹ค, ์ด ์•„์ด์—๊ฒŒ ์ฝ”ํŠธ๊ฐ€ ์žˆ์—ˆ์„๊นŒ ์—†์—ˆ์„๊นŒ?
07:39
Was it yellow initially or blue?
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์›๋ž˜ ๋…ธ๋ž‘์ด์—ˆ๋‚˜์š”? ํŒŒ๋ž‘์ด์—ˆ๋‚˜์š”?
07:41
I hear a few yellow. Good. So most of you have a brain. (Laughter)
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๋…ธ๋ž‘์ด๋ผ๊ณ  ํ•˜์‹œ๋Š” ๋ถ„๋“ค์ด ๋ช‡๋ถ„ ๊ณ„์‹œ๊ตฐ์š”. ๊ทธ๋Ÿฌ๋‹ˆ๊นŒ, ์—ฌ๋Ÿฌ๋ถ„๋“ค ๋Œ€๋ถ€๋ถ„์€ ์ข‹์€ ๋จธ๋ฆฌ๋ฅผ ๊ฐ€์ง€๊ณ  ๊ณ„์‹ ๊ฒ๋‹ˆ๋‹ค. (์›ƒ์Œ)
07:45
I'm now going to ask you to do the task, but now with
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์ด์ œ ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ํ•˜์‹ค ์ž„๋ฌด๋ฅผ ๋“œ๋ฆดํ…๋ฐ์š”, ์ด๋ฒˆ์—๋Š”
07:50
a little more challenging task. There are going to be
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์กฐ๊ธˆ ๋” ์–ด๋ ต์Šต๋‹ˆ๋‹ค. ํŒŒ๋ž€ ๊ฒƒ์ด 3๊ฐœ ์žˆ์Šต๋‹ˆ๋‹ค.
07:52
three of them that are blue. Don't move your eyes.
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๋ˆˆ์„ ์›€์ง์ด์ง€ ๋งˆ์„ธ์š”.
07:55
Please don't move your eyes. Keep your eyes fixated
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๋ˆˆ์€ ์›€์ง์ด์ง€ ๋งˆ์‹œ๊ณ , ์‹œ์„ ์„ ๊ณ ์ •ํ•œ ์ฑ„๋กœ
07:57
and expand, pull your attention. That's the only way
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๋ˆˆ์„ ํฌ๊ฒŒ ๋–  ์ง‘์ค‘ํ•ด ๋ณด์„ธ์š”. ๊ทธ๋ ‡๊ฒŒ ํ•˜๋Š” ๊ฒƒ์ด
08:00
you can actually do it. If you move your eyes, you're doomed.
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์‚ฌ์‹ค ์œ ์ผํ•œ ๋ฐฉ๋ฒ•์ธ๋ฐ์š”. ๋ˆˆ์„ ์›€์ง์ด๋ฉด, ์ง€๋Š” ๊ฒ๋‹ˆ๋‹ค.
08:03
Yellow or blue?
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๋…ธ๋ž‘์ธ๊ฐ€์š”? ํŒŒ๋ž‘์ธ๊ฐ€์š”?
08:04
Audience: Yellow.DB: Good.
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์ฒญ์ค‘: ๋…ธ๋ž‘์ƒ‰. ๊ฐ•์—ฐ์ž: ๋งž์Šต๋‹ˆ๋‹ค.
08:06
So your typical normal young adult
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๊ทธ๋Ÿฌ๋‹ˆ๊ฐ€ ๋ณดํ†ต์˜ ์ •์ƒ์ ์ธ ์ Š์€ ์„ฑ์ธ์€
08:09
can have a span of about three or four objects of attention.
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3๊ฐœ์—์„œ 4๊ฐœ์— ๊ฑธ์นœ ๋ฌผ์ฒด์— ์ง‘์ค‘ํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
08:12
That's what we just did. Your action video game player
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์šฐ๋ฆฌ๊ฐ€ ๊ธˆ๋ฐฉ ํ–ˆ๋˜๊ฑฐ์ฃ . ์•ก์…˜ ๋น„๋””์˜ค ๊ฒŒ์ž„ ํ”Œ๋ ˆ์ด์–ด๋Š”
08:15
has a span of about six to seven objects of attention,
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6๊ฐœ์—์„œ 7๊ฐœ๊นŒ์ง€์˜ ๋ฌผ์ฒด์— ๊ฑธ์ณ ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
08:18
which is what is shown in this video here.
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์—ฌ๊ธฐ ๋น„๋””์˜ค์— ๋ณด์‹œ๋Š” ๋ฐ”์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค.
08:21
That's for you guys, action video game players.
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์ €๊ฑด ์—ฌ๋Ÿฌ๋ถ„๋“ค, ์•ก์…˜ ๋น„๋””์˜ค ๊ฒŒ์ž„ ํ”Œ๋ ˆ์ด์–ด ์šฉ์ด์—์š”.
08:25
A bit more challenging, right? (Laughter)
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์•ฝ๊ฐ„ ๋” ์–ด๋ ต์ฃ ? (์›ƒ์Œ)
08:27
Yellow or blue? Blue. We have some people
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๋…ธ๋ž‘์ธ๊ฐ€์š”? ํŒŒ๋ž‘์ธ๊ฐ€์š”? ์—ฌ๊ธฐ ์•„์ฃผ ์ง„์ง€ํ•˜์‹ 
08:30
that are serious out there. Yeah. (Laughter)
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๋ถ„๋“ค์ด ๊ณ„์‹œ๊ตฐ์š”, ๋„ค ์ข‹์Šต๋‹ˆ๋‹ค. (์›ƒ์Œ)
08:33
Good. So in the same way that we actually see
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์ข‹์•„์š”. ์‚ฌ๋žŒ๋“ค์˜ ํ–‰๋™์—์„œ ๋น„๋””์˜ค ๊ฒŒ์ž„์˜ ์˜ํ–ฅ์„
08:37
the effects of video games on people's behavior,
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๋ณผ ์ˆ˜ ์žˆ๋Š” ๊ฒƒ๊ณผ ๋˜‘๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ
08:41
we can use brain imaging and look at the impact
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์šฐ๋ฆฌ๋Š” ๋‘๋‡Œ์˜ ์ด๋ฏธ์ง•์„ ํ•ด๋ณด๊ณ , ๋‡Œ ์†์—์„œ
08:44
of video games on the brain, and we do find many changes,
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๋น„๋””์˜ค ๊ฒŒ์ž„์˜ ์˜ํ–ฅ์„ ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฐ ๋ณ€ํ™”๊ฐ€ ๋ฐœ๊ฒฌ๋์–ด์š”.
08:47
but the main changes are actually to the brain networks
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ํ•˜์ง€๋งŒ ์ค‘์š”ํ•œ ๋ณ€ํ™”๋Š” ์‚ฌ์‹ค ์ฃผ์˜๋ ฅ์„ ๊ด€์žฅํ•˜๋Š”
08:51
that control attention. So one part is the parietal cortex
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๋‡Œ์˜ ๋„คํŠธ์›Œํฌ์— ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ ํ•œ ๋ถ€๋ถ„์€ ๋Œ€๋‡Œํ”ผ์งˆ์ธ๋ฐ,
08:55
which is very well known to control the orientation of attention.
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์ฃผ์˜๋ ฅ์˜ ๋ฐฉํ–ฅ์„ ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ž˜ ์•Œ๋ ค์ ธ ์žˆ์Šต๋‹ˆ๋‹ค.
08:59
The other one is the frontal lobe, which controls
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๋˜ ํ•˜๋‚˜๋Š” ์ „๋‘์—ฝ์ธ๋ฐ์š”, ์ด๊ฒƒ์€
09:01
how we sustain attention, and another one
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์šฐ๋ฆฌ๊ฐ€ ์ฃผ์˜๋ ฅ์„ ์–ผ๋งˆ๋‚˜ ์œ ์ง€ํ•˜๋Š”์ง€๋ฅผ ๊ด€์žฅํ•˜์ฃ .
09:04
is the anterior cingulate, which controls how we allocate
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๋˜ ํ•˜๋‚˜๋Š” ์ „์ธก ๋Œ€์ƒํšŒ์ธ๋ฐ, ์ด๊ฒƒ์€ ์šฐ๋ฆฌ๊ฐ€ ์–ด๋””์— ์ฃผ์˜๋ฅผ ๊ธฐ์šธ์ด๊ณ 
09:07
and regulate attention and resolve conflict.
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์กฐ์ ˆํ•˜๋Š”์ง€, ๊ทธ๋ฆฌ๊ณ  ๊ฐˆ๋“ฑ ํ•ด๊ฒฐ์„ ๊ด€์žฅํ•ฉ๋‹ˆ๋‹ค.
09:10
Now, when we do brain imaging, we find that all three
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์ž, ์ด์ œ ๋‡Œ์˜ ์ด๋ฏธ์ง€๋ฅผ ๋ณผ ๋•Œ, ์ด 3๊ฐœ์˜ ๋„คํŠธ์›Œํฌ ๋ชจ๋‘
09:13
of these networks are actually much more efficient
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์•ก์…˜ ๊ฒŒ์ž„์„ ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์—๊ฒŒ์„œ
09:16
in people that play action games.
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ํ›จ์‹  ๋” ํšจ์œจ์ ์ด๋ผ๋Š” ์‚ฌ์‹ค์„ ์•Œ์•„๋ƒˆ์Šต๋‹ˆ๋‹ค.
09:19
This actually leads me to a rather counterintuitive finding
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์‚ฌ์‹ค ์ด๊ฒƒ์ด ๊ธฐ์ˆ ๊ณผ ๋‘๋‡Œ์— ๋Œ€ํ•ด ๋ฌธํ—Œ์—์„œ ๋ณด๋Š” ๊ฒƒ๊ณผ
09:24
in the literature about technology and the brain.
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์ง๊ด€์ ์œผ๋กœ ๋ฐ˜๋Œ€๋˜๋Š” ๊ฒฐ๊ณผ๋ฅผ ์ฐพ๊ฒŒ ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
09:27
You all know about multitasking. You all have been faulty
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์šฐ๋ฆฌ๋Š” ๋ชจ๋‘ ๋‹ค์ค‘ ์ž‘์—…์ด๋ž€ ๊ฒƒ์„ ์•Œ๊ณ  ์žˆ์ฃ . ์šฐ๋ฆฌ๋Š” ๋ˆ„๊ตฌ๋‚˜
09:32
of multitasking when you're driving
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์šด์ „์„ ํ•˜๊ฑฐ๋‚˜ ํ•ธ๋“œํฐ์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์„ ๋•Œ,
09:34
and you pick up your cellphone. Bad idea. Very bad idea.
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๋‹ค์ค‘ ์ž‘์—…์—์„œ ์‹ค์ˆ˜๋ฅผ ํ•ฉ๋‹ˆ๋‹ค. ์•„์ฃผ ์ข‹์ง€ ์•Š์€ ์ƒ๊ฐ์ด์ฃ .
09:39
Why? Because as your attention shifts to your cell phone,
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์™œ ๊ทธ๋Ÿด๊นŒ์š”? ์‚ฌ๋žŒ๋“ค์˜ ์ฃผ์˜๊ฐ€ ํ•ธ๋“œํฐ์œผ๋กœ ์˜ฎ๊ฒจ๊ฐ€๊ธฐ ๋•Œ
09:42
you are actually losing the capacity to react swiftly
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์‹ค์ œ๋กœ ์‚ฌ๋žŒ๋“ค์€ ์•ž์—์„œ ๋ฉˆ์ถ”๋Š” ์ฐจ์— ๋Œ€์‘ํ•˜์—ฌ
09:47
to the car braking in front of you, and so you're
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์‹ ์†ํ•˜๊ฒŒ ๋Œ€์‘ํ•˜๋Š” ๋Šฅ๋ ฅ์„ ์ƒ์‹คํ•ฉ๋‹ˆ๋‹ค.
09:49
much more likely to get engaged into a car accident.
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๊ทธ๋ž˜์„œ ์‚ฌ๊ณ ๋ฅผ ๋‚ผ ๊ฐ€๋Šฅ์„ฑ์ด ํ›จ์”ฌ ๋” ์ปค์ง€์ฃ .
09:55
Now, we can measure that kind of skills in the lab.
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์ด์ œ, ์šฐ๋ฆฌ๋Š” ๊ทธ๋Ÿฐ ๋Šฅ๋ ฅ์„ ์‹คํ—˜์‹ค์—์„œ ์ธก์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
09:57
We obviously don't ask people to drive around and see
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์šฐ๋ฆฌ๋Š” ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ์—ฌ๊ธฐ์ €๊ธฐ ์šด์ „์„ ํ•˜๊ณ  ๋‹ค๋‹ˆ๋ฉฐ
10:00
how many car accidents they have. That would be a little
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์–ผ๋งˆ๋‚˜ ์‚ฌ๊ณ ๊ฐ€ ๋‚˜๋Š”์ง€ ํ™•์ธํ•ด๋ณด๋ผ๊ณ ๋Š” ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
10:02
costly proposition. But we design tasks on the computer
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๊ทธ๊ฑด ๋Œ“๊ฐ€๊ฐ€ ํฐ ์ œ์•ˆ์ด์ฃ . ํ•˜์ง€๋งŒ ์ปดํ“จํ„ฐ ์ƒ์—์„œ ๊ทธ๋Ÿฐ๊ฑธ
10:06
where we can measure, to millisecond accuracy,
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์ธก์ •ํ•˜๋„๋ก ๋งŒ๋“ค ์ˆ˜๋Š” ์žˆ์ฃ . ์‚ฌ๋žŒ๋“ค์ด ํ•œ ์ž„๋ฌด์—์„œ ๋‹ค๋ฅธ ์ž„๋ฌด๋กœ
10:09
how good they are at switching from one task to another.
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์–ผ๋งˆ๋‚˜ ์‹ ์†ํ•˜๊ฒŒ ์˜ฎ๊ฒจ ๊ฐ€๋Š”์ง€ ์ฒœ๋ถ„์˜ 1์ดˆ๊นŒ์ง€ ์ •ํ™•ํ•˜๊ฒŒ ์ธก์ •ํ•ฉ๋‹ˆ๋‹ค.
10:13
When we do that, we actually find that people
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์—ฌ๊ธฐ์„œ ์šฐ๋ฆฌ๋Š” ์•ก์…˜ ๊ฒŒ์ž„์„ ๋งŽ์ด ํ•œ ์‚ฌ๋žŒ๋“ค์ด
10:16
that play a lot of action games are really, really good.
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์ •๋ง, ์ •๋ง๋กœ ์ž˜ ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ์•˜์Šต๋‹ˆ๋‹ค.
10:19
They switch really fast, very swiftly. They pay a very small cost.
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์ด ์‚ฌ๋žŒ๋“ค์€ ์ •๋ง ๋น ๋ฅด๊ณ  ์‹ ์†ํ•˜๊ฒŒ ์˜ฎ๊ฒจ๊ฐ‘๋‹ˆ๋‹ค. ๋Œ“๊ฐ€๋„ ์ ๊ฒŒ ์น˜๋ฅด์ฃ .
10:24
Now I'd like you to remember that result, and put it
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๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๊ธฐ์–ตํ•˜๊ณ  ๊ณ„์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ , ๊ทธ๊ฒƒ์„
10:26
in the context of another group of technology users,
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๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•˜๋Š” ๋˜๋‹ค๋ฅธ ๊ทธ๋ฃน์— ๋น„๊ตํ•ด ๋ณด์ฃ ,
10:30
a group which is actually much revered by society,
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์‚ฌํšŒ์ ์œผ๋กœ ๊ฝค ์กด๊ฒฝ๋ฐ›๋Š” ๊ทธ๋ฃน์ธ๋ฐ,
10:32
which are people that engage in multimedia-tasking.
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๋‹ค์ค‘ ๋งค์ฒด ์ž„๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ํ•ด๋ณด์ฃ .
10:37
What is multimedia-tasking? It's the fact that most of us,
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๋‹ค์ค‘ ๋งค์ฒด ์ž„๋ฌด๊ฐ€ ๋ญ๋ƒ๊ตฌ์š”? ๊ทธ๊ฑด ์šฐ๋ฆฌ ๋Œ€๋ถ€๋ถ„,
10:41
most of our children, are engaged with listening to music
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์šฐ๋ฆฌ ์•„์ด๋“ค์˜ ๋Œ€๋ถ€๋ถ„์ด ์Œ์•…์„ ๋“ค์œผ๋ฉฐ
10:44
at the same time as they're doing search on the web
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๋™์‹œ์— ์›น ๊ฒ€์ƒ‰์„ ํ•ฉ๋‹ˆ๋‹ค.
10:47
at the same time as they're chatting on Facebook with their friends.
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๋™์‹œ์— ํŽ˜์ด์Šค ๋ถ์—์„œ ์นœ๊ตฌ๋“ค๊ณผ ์žก๋‹ด๋„ ๋‚˜๋ˆ„์ฃ .
10:50
That's a multimedia-tasker.
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๊ทธ๋Ÿฐ๊ฒŒ ๋‹ค์ค‘ ๋งค์ฒด ์ž„๋ฌด์—์š”.
10:52
There was a first study done by colleagues at Stanford
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์Šคํƒ ํฌ๋“œ ๋Œ€ํ•™์—์„œ ์‹คํ—˜์‹ค ๋™๋ฃŒ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ์‹คํ–‰ํ•ด ๋ดค๊ณ ์š”,
10:56
and that we replicated that showed that
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์šฐ๋ฆฌ๊ฐ€ ๋ณด์ธ ๊ฒƒ์€
10:58
those people that identify as being high multimedia-taskers
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๋†’์€ ๋‹ค์ค‘ ๋งค์ฒด ์ž„๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•œ๋‹ค๋Š” ์‚ฌ๋žŒ๋“ค์€
11:03
are absolutely abysmal at multitasking.
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๋‹ค์ค‘ ์ž„๋ฌด์—์„œ ์ ˆ๋Œ€์ ์œผ๋กœ ์ตœ์•…์ด๋ผ๋Š” ์‚ฌ์‹ค์„ ๋ฐํ˜€๋ƒˆ์Šต๋‹ˆ๋‹ค.
11:07
When we measure them in the lab, they're really bad.
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์‹คํ—˜์‹ค์—์„œ ๊ทธ๋“ค์„ ์ธก์ •ํ–ˆ๋”๋‹ˆ ์ •๋ง ์—‰๋ง์ด์—ˆ์–ด์š”.
11:10
Right? So these kinds of results really
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์ด๋Ÿฐ ์ข…๋ฅ˜์˜ ๊ฒฐ๊ณผ์—๋Š” ์‚ฌ์‹ค
11:12
makes two main points.
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๋‘๊ฐ€์ง€ ์ค‘์š”ํ•œ ์š”์ ์ด ์žˆ์–ด์š”.
11:15
The first one is that not all media are created equal.
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์ฒซ์งธ๋Š” ๋ชจ๋“  ๋ฏธ๋””์–ด๊ฐ€ ๋˜‘๊ฐ™์ด ๋งŒ๋“ค์–ด์ง€์ง€๋Š” ์•Š๋Š”๋‹ค๋Š” ์ ์ด์ฃ .
11:18
You can't compare the effect of multimedia-tasking
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๋‹ค์ค‘ ๋งค์ฒด ์ž„๋ฌด์˜ ํšจ๊ณผ์™€ ์•ก์…˜ ๊ฒŒ์ž„์„ ํ•˜๋Š” ํšจ๊ณผ๊ฐ€
11:23
and the effect of playing action games. They have
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๋น„๊ต๋  ์ˆ˜๋Š” ์—†์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฐ ๊ฒƒ๋“ค์€
11:25
totally different effects on different aspects of cognition,
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์ธ์ง€, ์ง€๊ฐ, ์ง‘์ค‘์ด๋ผ๋Š” ์„œ๋กœ ๋‹ค๋ฅธ ์ธก๋ฉด์—์„œ ์™„์ „ํžˆ
11:28
perception and attention.
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๋‹ค๋ฅธ ํšจ๊ณผ๋ฅผ ๋ณด์ด๊ฑฐ๋“ ์š”.
11:31
Even within video games, I'm telling you right now
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๋น„๋””์˜ค ๊ฒŒ์ž„ ์ค‘์—์„œ๋„, ์ €๋Š” ์ง€๊ธˆ
11:34
about these action-packed video games.
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์•ก์…˜์ด ๋งŽ์ด ๋“ค์–ด์žˆ๋Š” ๋น„๋””์˜ค ๊ฒŒ์ž„์— ๋Œ€ํ•ด ๋ง์”€๋“œ๋ฆฌ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
11:36
Different video games have a different effect on your brains.
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๋‹ค๋ฅธ ๋น„๋””์˜ค ๊ฒŒ์ž„๋“œ๋“ค์€ ๋‡Œ์— ๋‹ค๋ฅธ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.
11:39
So we actually need to step into the lab and really measure
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๊ทธ๋ž˜์„œ ์šฐ๋ฆฌ๋Š” ์‹คํ—˜์‹ค์—์„œ ๊ฐ๊ฐ์˜ ๋น„๋””์˜ค ๊ฒŒ์ž„์ด
11:42
what is the effect of each video game.
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์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์•Œ์•„๋ด์•ผ ํ•  ํ•„์š”๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
11:44
The other lesson is that general wisdom carries no weight.
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๋‹ค๋ฅธ ๊ตํ›ˆ์œผ๋กœ๋Š” ์ผ๋ฐ˜์ ์ธ ์ง€ํ˜œ๊ฐ€ ์–ด๋–ค ์˜๋ฏธ๋„ ์—†๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค.
11:49
I showed that to you already, like we looked at the fact that
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์ด๋ฏธ ์ œ๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ๋ณด์—ฌ๋“œ๋ฆฐ๊ฑด๋ฐ์š”,
11:52
despite a lot of screen time, those action gamers
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๋งŽ์€ ์‹œ๊ฐ„์„ ํ™”๋ฉด๊ณผ ๋งˆ์ฃผํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์•ก์…˜ ๋น„๋””์˜ค ๊ฒŒ์ž„์„
11:54
have a lot of very good vision, etc.
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ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด ์ข‹์€ ์‹œ๊ฐ๋Šฅ๋ ฅ์„ ๊ฐ–๊ฒŒ ๋œ๋‹ค๋Š” ๊ฒƒ ๋“ฑ์ž…๋‹ˆ๋‹ค.
11:58
Here, what was really striking is that these undergraduates
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์—ฌ๊ธฐ์„œ ์ •๋ง ๋†€๋ผ์šด ์ ์€
12:01
that actually report engaging in a lot of high
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์ƒ๋‹นํ•œ ๋‹ค์ค‘ ๋งค์ฒด ์ž„๋ฌด์— ๋…ธ์ถœ๋˜์–ด ์žˆ๋Š” ๋Œ€ํ•™์ƒ๋“ค์ด
12:05
multimedia-tasking are convinced they aced the test.
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์‹œํ—˜์—์„œ ์ตœ๊ณ ์ ์„ ๋ฐ›์„๊ฑฐ๋ผ๊ณ  ํ™•์‹ ํ•˜๋”๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.
12:10
So you show them their data, you show them they are bad
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์‚ฌ๋žŒ๋“ค์—๊ฒŒ ๊ทธ๋“ค์˜ ์ž๋ฃŒ๋ฅผ ๋ณด์—ฌ์ฃผ์„ธ์š”. ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ํ•™์ƒ๋“ค์ด
12:12
and they're like, "Not possible." You know, they have
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์ž˜ํ•˜๊ณ  ์žˆ๋Š”๊ฒŒ ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ์„ธ์š”. ๊ทธ ํ•™์ƒ๋“ค์€ ๋งˆ์น˜ :์ ˆ๋Œ€ ๋ถˆ๊ฐ€๋Šฅํ•œ" ๋“ฏ์ด ๋ณด์ž…๋‹ˆ๋‹ค.
12:15
this sort of gut feeling that, really, they are doing really, really good.
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๊ทธ๋“ค์€ ์œก๊ฐ์ ์œผ๋กœ ์•„์ฃผ ์ž˜, ์ •๋ง๋กœ ์ž˜ ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.
12:18
That's another argument for why we need to step into the lab
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์ด๊ฒƒ์€ ์šฐ๋ฆฌ๊ฐ€ ๋‘๋‡Œ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ์˜ ์˜ํ–ฅ์„ ์‹คํ—˜์‹ค์—์„œ
12:21
and really measure the impact of technology on the brain.
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์ธก์ •ํ•ด ๋ด์•ผ ํ•˜๋Š” ๋˜ ๋‹ค๋ฅธ ์ด์œ ์ด๊ธฐ๋„ ํ•ฉ๋‹ˆ๋‹ค.
12:25
Now in a sense, when we think about the effect
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์–ด๋–ค ์˜๋ฏธ์—์„œ, ๋น„๋””์˜ค ๊ฒŒ์ž„์ด ๋‘๋‡Œ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„
12:30
of video games on the brain, it's very similar
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๊ณ ๋ คํ•˜๋Š” ๊ฒƒ์€ ์™€์ธ์ด ๊ฑด๊ฐ•์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด์„œ
12:32
to the effect of wine on the health.
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์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ๊ณผ ๋งค์šฐ ํก์‚ฌํ•ฉ๋‹ˆ๋‹ค.
12:36
There are some very poor uses of wine. There are some
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์™€์ธ์„ ์ž˜ ์ด์šฉํ•˜์ง€ ๋ชปํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ์žˆ์ฃ . ๋น„๋””์˜ค ๊ฒŒ์ž„์„
12:39
very poor uses of video games. But when consumed
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์ž˜ ์ด์šฉํ•˜์ง€ ๋ชปํ•˜๋Š” ๊ฒฝ์šฐ๋„ ๋ฌผ๋ก  ์žˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ,
12:43
in reasonable doses, and at the right age,
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์ ๋‹นํžˆ ์‚ฌ์šฉํ•˜๋ฉด, ๊ทธ๋ฆฌ๊ณ  ์ ์ ˆํ•œ ๋‚˜์ด์— ํ•œ๋‹ค๋ฉด,
12:47
wine can be very good for health. There are actually
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์™€์ธ์€ ๊ฑด๊ฐ•์— ์•„์ฃผ ์ข‹์„ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ๋กœ
12:50
specific molecules that have been identified
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๋ ˆ๋“œ ์™€์ธ์—๋Š” ๊ธฐ๋Œ€ ์ˆ˜๋ช…์„ ์—ฐ์žฅํ•˜๋Š” ํšจ๊ณผ๋ฅผ ๊ฐ€์ง„
12:53
in red wine as leading to greater life expectancy.
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ํŠน์ •ํ•œ ์„ฑ๋ถ„์ด ์žˆ๋‹ค๋Š” ๊ฒƒ์ด ๋ฐํ˜€์กŒ์Šต๋‹ˆ๋‹ค.
12:59
So it's the same way, like those action video games
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๋˜‘๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ, ๊ทธ๋Ÿฐ ๋น„๋””์˜ค ์•ก์…˜ ๊ฒŒ์ž„์€
13:02
have a number of ingredients that are actually really
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๋‘๋‡Œ์˜ ์ ์‘์„ฑ๊ณผ ํ•™์Šต, ์ฃผ์˜๋ ฅ,
13:04
powerful for brain plasticity, learning, attention,
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์‹œ๊ฐ ๋Šฅ๋ ฅ๊ณผ ๊ฐ™์€ ๊ฒƒ์—
13:08
vision, etc., and so we need and we're working on
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๋งค์šฐ ๊ฐ•๋ ฅํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์†Œ๋“ค์ด ์žˆ์Šต๋‹ˆ๋‹ค.
13:11
understanding what are those active ingredients so that
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์šฐ๋ฆฌ๋Š” ํ˜„์žฌ, ๊ทธ๋Ÿฐ ์š”์†Œ๋“ค์— ๋Œ€ํ•ด ์ดํ•ดํ•˜๋ ค๊ณ  ํ•˜๊ณ  ์žˆ์ฃ ,
13:14
we can really then leverage them to deliver better games,
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๊ทธ๋ž˜์„œ ๊ต์œก์ด ๋” ์ž˜ ๋˜๊ณ  ํ™˜์ž๋“ค์˜ ์žฌํ™œ์ด ๋” ์šฉ์ดํ•ด์ง€๋„๋ก
13:18
either for education or for rehabilitation of patients.
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์•„์ด๋“ค์ด ๊ทธ๋Ÿฐ ๊ฒŒ์ž„์„ ๋” ์ž˜ ํ•˜๋„๋ก ๋งŒ๋“ค์–ด ๋ณด๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.
13:22
Now because we are interested in having an impact
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์ด์ œ ์šฐ๋ฆฌ๊ฐ€ ๊ต์œก์ด๋‚˜
13:26
for education or rehabilitation of patients, we are actually
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ํ™˜์ž๋“ค์˜ ์žฌํ™œ์— ๊ด€์‹ฌ์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์—
13:29
not that interested in how those of you that choose
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์šฐ๋ฆฌ๋Š” ๊ทธ๋Ÿฐ ๋น„๋””์˜ค ๊ฒŒ์ž„์„ ์—ฌ๋Ÿฌ ์‹œ๊ฐ„์— ๊ฑธ์ณ ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด
13:32
to play video games for many hours on end perform.
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์–ด๋–ป๊ฒŒ ํ•ด๋‚ด๋Š”๊ฐ€์—๋Š” ๊ทธ๋ฆฌ ํฐ ๊ด€์‹ฌ์„ ๊ฐ–๊ณ  ์ž‡๋Š”๊ฒŒ ์•„๋‹™๋‹ˆ๋‹ค.
13:36
I'm much more interested in taking any of you
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์ œ๊ฐ€ ํ›จ์”ฌ ๋” ๊ด€์‹ฌ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์€
13:40
and showing that by forcing you to play an action game,
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์—ฌ๋Ÿฌ๋ถ„๋“ค ๋ˆ„๊ตฌ๋“  ์•ก์…˜ ๊ฒŒ์ž„์„ ๊ฐ•์ œ๋กœ ํ•˜๋„๋ก ํ•ด์„œ
13:44
I can actually change your vision for the better,
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๊ทธ ์‚ฌ๋žŒ์˜ ์‹œ๊ฐ ๋Šฅ๋ ฅ์„ ์ฆ์ง„ํ•  ์ˆ˜ ์žˆ๋Š”๊ฐ€ ํ•˜๋Š” ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค.
13:46
whether you want to play that action game or not, right?
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๊ทธ ์‚ฌ๋žŒ์ด ๊ทธ๋Ÿฐ ์•ก์…˜ ๊ฒŒ์ž„์„ ํ•˜๊ณ  ์‹ถ์–ดํ•˜๋“  ๋ง๋“  ๋ง์ด์ฃ .
13:49
That's the point of rehabilitation or education.
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๊ทธ๊ฒƒ์ด ์žฌํ™œ์ด๋‚˜ ๊ต์œก์„ ์œ„ํ•œ ์š”์ ์ž…๋‹ˆ๋‹ค.
13:51
Most of the kids don't go to school saying,
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์•„์ด๋“ค ๋Œ€๋ถ€๋ถ„์€ ์ด๋Ÿฐ ์ด์•ผ๊ธฐ๋ฅผ ํ•˜๊ณ  ์‹ถ์–ด ํ•™๊ต๊ฐ€์ง€๋Š” ์•Š์•„์š”.
13:53
"Great, two hours of math!"
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"์•„ ์ข‹๋‹ค. ์ˆ˜ํ•™์ด ๋‘ ์‹œ๊ฐ„์ด๋‚˜ ์žˆ๋‹ค๋‹ˆ!" ๊ฐ™์€ ๊ฑฐ์š”.
13:56
So that's really the crux of the research, and to do that,
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๊ทธ๊ฒŒ ์ •๋ง ์—ฐ๊ตฌ์˜ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ๋ถ€๋ถ„์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋ ค๋ฉด,
14:00
we need to go one more step.
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์šฐ๋ฆฌ๋Š” ํ•œ ๋‹จ๊ณ„ ๋” ๋‚˜์•„๊ฐ€์•ผ๋งŒ ํ•ฉ๋‹ˆ๋‹ค.
14:03
And one more step is to do training studies.
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๊ทธ ๋‹จ๊ณ„๋Š” ํ›ˆ๋ จ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ์ด์ฃ .
14:06
So let me illustrate that step with
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๊ทธ๋Ÿฐ ๋‹จ๊ณ„๋ฅผ ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ๋ณด์—ฌ๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค.
14:09
a task which is called mental rotation.
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"์ •์‹ ์  ํšŒ์ „"์ด๋ผ๋Š” ์ž„๋ฌด์ธ๋ฐ์š”.
14:13
Mental rotation is a task where I'm going to ask you,
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์ •์‹ ์  ํšŒ์ „์ด๋ž€ ๊ฒƒ์€ ์ œ๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ๋ถ€ํƒ๋“œ๋ฆฌ๋Š” ์ž„๋ฌด์ด๊ณ 
14:17
and again you're going to do the task,
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๊ทธ๋Ÿฌ๋ฉด ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ๊ทธ๊ฑธ ํ•˜์…”์•ผ ํ•ฉ๋‹ˆ๋‹ค.
14:19
to look at this shape. Study it, it's a target shape,
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์ด ๋ชจ์–‘์„ ๋ณด์„ธ์š”. ์ž˜ ์—ฐ๊ตฌํ•ด ๋ณด์„ธ์š”. ๊ทธ๊ฒƒ์ด ๋ฐ”๋ผ๋Š” ์ตœ์ข… ๋ชจ์–‘์ž…๋‹ˆ๋‹ค.
14:22
and I'm going to present to you four different shapes.
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์ €๋Š” ์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ 4๊ฐœ์˜ ๋‹ค๋ฅธ ๋ชจ์–‘์„ ๋ณด์—ฌ๋“œ๋ฆฌ๊ณ ์š”.
14:26
One of these four different shapes is actually a rotated
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์ด ๋„ท ์ค‘์— ํ•˜๋‚˜๋Š” ์‹ค์ œ๋กœ ์ด ๋ชจ์–‘์„ ํšŒ์ „์‹œ์ผœ ๋†“์€
14:29
version of this shape. I want you to tell me which one:
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๋ชจ์–‘์ž…๋‹ˆ๋‹ค. ์ œ๊ฒŒ ๊ทธ๊ฒŒ ์–ด๋–ค ๊ฒƒ์ธ์ง€ ๋ง์”€ํ•ด ๋ณด์„ธ์š”:
14:33
the first one, second one, third one or fourth one?
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์ฒซ๋ฒˆ์งธ? ๋‘๋ฒˆ์งธ? ์„ธ๋ฒˆ์งธ? ๋„ค๋ฒˆ์งธ?
14:38
Okay, I'll help you. Fourth one.
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์ข‹์•„์š”. ์ œ๊ฐ€ ๋„์™€๋“œ๋ฆฌ์ฃ . ๋„ค๋ฒˆ์งธ์—์š”.
14:40
One more. Get those brains working. Come on.
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ํ•œ๋ฒˆ ๋” ํ•ด๋ณผ๊นŒ์š”. ๋‘๋‡Œ๋ฅผ ์ž‘๋™์‹œ์ผœ ๋ณด์„ธ์š”.
14:45
That's our target shape.
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์ด๊ฒƒ์ด ์šฐ๋ฆฌ๊ฐ€ ๋ฐ”๋ผ๋Š” ์ตœ์ข… ๋ชจ์–‘์ž…๋‹ˆ๋‹ค.
14:50
Third. Good! This is hard, right?
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์„ธ๋ฒˆ์งธ์š”! ๋„ค ์ž˜ ํ•˜์…จ์Šต๋‹ˆ๋‹ค. ์ด๊ฑด ์ข€ ์–ด๋ ต์ฃ ?
14:53
Like, the reason that I asked you to do that is because
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์ œ๊ฐ€ ์—ฌ๋Ÿฌ๋ถ„๋“ค์ด ํ•ด๋ณด์‹œ๋ผ๊ณ  ํ–ˆ๋˜ ์ด์œ ๋Š”
14:55
you really feel your brain cringing, right?
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์—ฌ๋Ÿฌ๋ถ„๋“ค์€ ์ž์‹ ์˜ ๋‡Œ๊ฐ€ ์›€์ธ ๋Ÿฌ ๋“  ๋Š๋‚Œ์„ ๋ฐ›๊ธฐ ๋•Œ๋ฌธ์ด์—์š”, ๊ทธ๋ ‡์ฃ ?
14:58
It doesn't really feel like playing mindless action video games.
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์ด๊ฑด ์ƒ๊ฐ์—†์ด ํ•˜๋Š” ์•ก์…˜ ๋น„๋””์˜ค ๊ฒŒ์ž„๊ณผ๋Š” ์ •๋ง ๋‹ค๋ฅด๊ฒŒ ๋Š๊ปด์ง‘๋‹ˆ๋‹ค.
15:01
Well, what we do in these training studies is, people
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์ž, ์šฐ๋ฆฌ๊ฐ€ ์ด๋Ÿฐ ํ›ˆ๋ จ ์—ฐ๊ตฌ์—์„œ ํ•˜๋Š” ๊ฒƒ์€, ์‚ฌ๋žŒ๋“ค์ด
15:04
come to the lab, they do tasks like this one,
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์‹คํ—˜์‹ค์— ์˜ค๊ณ , ์ด๋Ÿฐ ์ž„๋ฌด๋ฅผ ํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.
15:06
we then force them to play 10 hours of action games.
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๊ทธ๋Ÿฌ๋ฉด ์ €ํฌ๊ฐ€ ์•ก์…˜ ๊ฒŒ์ž„์„ 10์‹œ๊ฐ„ ํ•˜์‹œ๋„๋ก ํ•˜์ฃ .
15:11
They don't play 10 hours of action games in a row.
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์‚ฌ๋žŒ๋“ค์€ 10์‹œ๊ฐ„ ๋™์•ˆ ๊ณ„์†ํ•ด์„œ ๊ฒŒ์ž„์„ ํ•˜์ง€๋Š” ์•Š์Šต๋‹ˆ๋‹ค.
15:13
They do distributed practice, so little shots of 40 minutes
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์‚ฌ๋žŒ๋“ค์€ ๋“œ๋ฌธ๋“œ๋ฌธ ์—ฐ์Šต์„ ํ•œ๋‹ค๋Š”๊ฑฐ์ฃ . 40๋ถ„์งœ๋ฆฌ๋กœ ์งง๊ฒŒ ์งง๊ฒŒ
15:16
several days over a period of two weeks.
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2์ฃผ ์ •๋„์— ๊ฑธ์ณ ์—ฌ๋Ÿฌ๋ฒˆ ๋งŒ์— ํ•ด๋ƒ…๋‹ˆ๋‹ค.
15:21
Then, once they are done with the training, they come back
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์—ฐ์Šต์ด ๋๋‚˜๊ณ  ๋‚˜๋ฉด, ๋ฉฐ์น  ํ›„์— ๋‹ค์‹œ์™€์„œ
15:23
a few days later and they are tested again on a similar type
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๋น„์Šทํ•œ ํ˜•ํƒœ์˜ ์ •์‹ ์  ํšŒ์ „ ์ž„๋ฌด๋ฅผ ๋‹ค์‹œ
15:27
of mental rotation task. So this is work from a colleague
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์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค. ์ด๊ฑด ํ† ๋ก ํ† ์— ์žˆ๋Š” ์ œ ๋™๋ฃŒ๊ฐ€ ์ˆ˜ํ–‰ํ•œ
15:30
in Toronto. What they showed is that, initially,
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์‹คํ—˜์ธ๋ฐ์š”, ๊ทธ๋“ค์ด ์ฆ๋ช…ํ•œ ๊ฒƒ์€
15:33
you know, subjects perform where they are expected
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ํ”ผ์‹คํ—˜์ž๋“ค์ด ์ฒ˜์Œ์—๋Š” ์ž์‹ ์˜ ๋‚˜์ด์— ์–ด์šธ๋ฆฌ๋Š”
15:35
to perform given their age. After two weeks of training
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์„ฑ์ทจ ์ •๋„๋ฅผ ๋ณด์ž…๋‹ˆ๋‹ค. ์•ก์…˜ ๋น„๋””์˜ค ๊ฒŒ์ž„์„ ์ด์šฉํ•˜์—ฌ
15:40
on action video games, they actually perform better,
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2์ฃผ๊ฐ„ ์—ฐ์Šต์„ ํ•˜๊ณ  ๋‚˜๋ฉด ์‚ฌ๋žŒ๋“ค์ด ๋” ์ž˜ํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.
15:44
and the improvement is still there five months after
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๊ทธ๋ฆฌ๊ณ  ์—ฐ์Šต์„ ํ•œ ์ดํ›„์—๋„ 5๊ฐœ์›” ๋™์•ˆ์ด๋‚˜
15:49
having done the training. That's really, really important.
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์ฆ์ง„๋œ ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๊ฑด ์ •๋ง, ์ •๋ง ์ค‘์š”ํ•œ ๊ฒ๋‹ˆ๋‹ค.
15:52
Why? Because I told you we want to use these games
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์™œ์ผ๊นŒ์š”? ์™œ๋ƒํ•˜๋ฉด ์ œ๊ฐ€ ์ด ๊ฒŒ์ž„์„ ๊ต์œก๊ณผ ์žฌํ™œ์— ์‚ฌ์šฉํ•˜๊ณ ์ž
15:55
for education or for rehabilitation. We need to have effects
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ํ•œ๋‹ค๊ณ  ๋ง์”€๋“œ๋ ธ์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ์—๊ฒŒ๋Š” ์˜ค๋ž˜ ์ง€์†๋˜๋Š”
15:58
that are going to be long-lasting.
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ํšจ๊ณผ๊ฐ€ ํ•„์š”ํ•˜๊ฑฐ๋“ ์š”.
16:01
Now, at this point, a number of you are probably wondering
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์ด ์‹œ์ ์—์„œ, ์•„๋งˆ ์—ฌ๋Ÿฌ๋ถ„๋“ค์ค‘ ๋งŽ์€ ๋ถ„๋“ค์ด
16:04
well, what are you waiting for, to put on the market
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๊ทธ๋Ÿผ, ๋ญ˜ ๊ธฐ๋‹ค๋ฆฌ๋Š๋ƒ, ์šฐ๋ฆฌ ํ• ๋จธ๋‹ˆ์˜ ์ง‘์ค‘๋ ฅ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š”
16:07
a game that would be good for the attention
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๊ฒŒ์ž„์„ ์‹œ์žฅ์— ์ถœ์‹œํ•˜๋ฉด ๊ทธ ๋ถ„์ด
16:10
of my grandmother and that she would actually enjoy,
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์‹ค์ œ๋กœ ๊ฒŒ์ž„์„ ์ฆ๊ธฐ๊ณ 
16:13
or a game that would be great to rehabilitate the vision
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์‹œ๊ฐ๋Šฅ๋ ฅ๊ณผ ์•„์ด๋“ค์˜ ์•ฝํ•œ ์‹œ๊ฐ ๋Šฅ๋ ฅ์„
16:16
of my grandson who has amblyopia, for example?
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์žฌํ™œํ•˜๋Š”๋ฐ ์‚ฌ์šฉํ•˜๋ฉด ์ข‹์ง€ ์•Š๊ฒ ๋Š๋ƒ๋Š” ๊ฒƒ์ด๊ฒ ์ฃ ?
16:20
Well, we're working on it, but here is a challenge.
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์Œ, ์ €ํฌ๋„ ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์ง€๋งŒ ์•ฝ๊ฐ„์˜ ๋ฌธ์ œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
16:24
There are brain scientists like me that are beginning
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์ €์™€ ๊ฐ™์€ ๋‡Œ๊ณผํ•™์ž๊ฐ€ ์žˆ์–ด์„œ
16:26
to understand what are the good ingredients in games
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๊ฒŒ์ž„์œผ๋กœ๋ถ€ํ„ฐ ๊ธ์ •์  ํšจ๊ณผ๋ฅผ ์ด‰์ง„ํ•˜๋Š” ๋ฐ ๋ฌด์—‡์ด ์ข‹์€์ง€
16:29
to promote positive effects, and that's what I'm going
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์•Œ์•„๋‚ด๊ธฐ ์‹œ์ž‘ํ–ˆ์ง€๋งŒ, ๊ทธ๊ฑด ์ œ๊ฐ€ ์–ธ๊ธ‰ํ•˜๋Š”
16:32
to call the broccoli side of the equation.
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๋ฐฉ์ •์‹์˜ ํ”„๋กœ์ฝœ๋ฆฌ ํšจ๊ณผ๋ผ๋Š” ๊ฒ๋‹ˆ๋‹ค.
16:36
There is an entertainment software industry
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์˜ค๋ฝ ์†Œํ”„ํŠธ์›จ์–ด ์‚ฐ์—…์€
16:40
which is extremely deft at coming up with
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์‚ฌ๋žŒ๋“ค์ด ๊ฑฐ์ ˆํ•˜๊ธฐ ์–ด๋ ค์šธ ์ •๋„๋กœ ๋งค๋ ฅ์ ์ธ
16:43
appealing products that you can't resist.
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์ œํ’ˆ์„ ๋‚ด๋Š”๋ฐ ๊ทนํžˆ ์žฌ๋น ๋ฅด๊ฒŒ ์›€์ง์ž…๋‹ˆ๋‹ค.
16:47
That's the chocolate side of the equation.
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๊ทธ๊ฑด ๋ฐฉ์ •์‹์˜ ๋‹ฌ์ฝคํ•œ ์ธก๋ฉด์ด์ง€์š”.
16:51
The issue is we need to put the two together,
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๋ฌธ์ œ๋Š”, ์šฐ๋ฆฌ๋Š” ๋‘๊ฐ€์ง€๋ฅผ ์ข…ํ•ฉํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค๋Š” ์ ์ด์—์š”.
16:54
and it's a little bit like with food.
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๊ทธ๊ฑด ์Œ์‹ํ•˜๊ณ ๋„ ์•ฝ๊ฐ„ ์œ ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
16:56
Who really wants to eat chocolate-covered broccoli?
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์ดˆ์ฝ”๋ ›์œผ๋กœ ๋ฎ์€ ๋ธŒ๋กœ์ฝœ๋ฆฌ๋ฅผ ๋ˆ„๊ฐ€ ๋จน๊ณ  ์‹ถ์–ดํ•˜๊ฒ ์–ด์š”?
17:00
None of you. (Laughter) And you probably have had
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์—ฌ๋Ÿฌ๋ถ„๋“ค์€ ์•„๋ฌด๋„ ์•„๋‹ˆ์‹œ์ฃ . (์›ƒ์Œ) ์—ฌ๋Ÿฌ๋ถ„๋“ค๋„ ์•„๋งˆ
17:02
that feeling, right, picking up an education game
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๊ทธ๋Ÿฐ ์ƒ๊ฐ์ด์…จ์„ ๊ฒ๋‹ˆ๋‹ค. ๊ต์œก์šฉ ๊ฒŒ์ž„์„ ์†์— ๋“ค๊ณ 
17:04
and sort of feeling, hmm, you know, it's not really fun,
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๊ฐ–๋Š” ๋Š๋‚Œ์ด๋ž€๊ฒŒ, ํ , ๊ทธ๋ฆฌ ์žฌ๋ฏธ์žˆ์ง€ ์•Š๊ตฐ, ์ด๊ฑด ์ง„์งœ ๊ฒŒ์ž„์ด
17:08
it's not really engaging. So what we need
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์•„๋‹ˆ์•ผ๋ผ๋Š” ๊ทธ๋Ÿฐ ๋Š๋‚Œ๋ง์ž…๋‹ˆ๋‹ค.
17:10
is really a new brand of chocolate, a brand of chocolate
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๊ทธ๋ž˜์„œ ์šฐ๋ฆฌ๊ฐ€ ํ•„์š”๋กœ ํ•˜๋Š” ๊ฒƒ์€ ์ •๋ง๋กœ ์ƒˆ๋กœ์šด ์ œํ’ˆ์˜ ์ดˆ์ฝ”๋ ›์ด์—์š”.
17:14
that is irresistible, that you really want to play,
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๊ฑฐ์ ˆํ•˜๊ธฐ ํž˜๋“ค๊ณ  ์ •๋ง๋กœ ํ•ด๋ณด๊ณ  ์‹ถ์€ ๊ฒŒ์ž„์ด์ง€๋งŒ,
17:18
but that has all the ingredients, the good ingredients
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์˜ค๋“  ์š”์†Œ๊ฐ€ ๋‹ค ๋“ค์–ด์žˆ๊ณ , ์ด๊ฒƒ๋“ค์ด ์ „๋ถ€
17:21
that are extracted from the broccoli that you can't recognize
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์‚ฌ๋žŒใ„ท๋ฅด์ด ์•Œ์ง€ ๋ชปํ•˜๊ฒŒ ํ”„๋กœ์ฝœ๋ฆฌ์—์„œ ์ถ”์ถœ๋œ ์š”์†Œ์ด๋ฉด์„œ๋„
17:24
but are still working on your brains. And we're working on it,
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๋‘๋‡Œ์— ์ž˜ ์ž‘์šฉํ•˜๋Š” ๊ฒƒ๋“ค์ด์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ €ํฌ๋„ ์• ์“ฐ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
17:27
but it takes brain scientists to come and to get together,
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ํ•˜์ง€๋งŒ ๋‡Œ๊ณผํ•™์ž๋“ค๊ณผ
17:31
people that work in the entertainment software industry,
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์†Œํ”„ํŠธ์›จ์–ด ์‚ฐ์—… ๊ด€๊ณ„์ž๋“ค,
17:34
and publishers, so these are not people that usually
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๊ทธ๋ฆฌ๊ณ  ์ƒ์‚ฐ์ž๊ฐ€ ๋ชจ์—ฌ์•ผ ํ•˜๋Š”๊ฒŒ, ์ด๋Ÿฐ ๋ถ€๋ฅ˜์˜ ์‚ฌ๋žŒ๋“ค์€
17:37
meet every day, but it's actually doable,
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์„œ๋กœ ๋งค์ผ ๋งŒ๋‚˜๋Š” ์‚ฌ๋žŒ๋“ค์ด ์•„๋‹ˆ๊ฑฐ๋“ ์š”. ํ•  ์ˆ˜๋Š” ์žˆ์–ด์š”.
17:39
and we are on the right track.
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์ €ํฌ๊ฐ€ ์ œ๋Œ€๋กœ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
17:42
I'd like to leave you with that thought,
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์—ฌ๋Ÿฌ๋ถ„๋“ค๊ป˜ ๊ทธ ๋ฌธ์ œ๋ฅผ ์ƒ๊ฐํ•ด๋ณด์‹œ๋„๋ก ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.
17:44
and thank you for your attention. (Applause)
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๋“ค์–ด์ฃผ์…”์„œ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. (๋ฐ•์ˆ˜)
17:47
(Applause)
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(๋ฐ•์ˆ˜)
์ด ์›น์‚ฌ์ดํŠธ ์ •๋ณด

์ด ์‚ฌ์ดํŠธ๋Š” ์˜์–ด ํ•™์Šต์— ์œ ์šฉํ•œ YouTube ๋™์˜์ƒ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„ ์ตœ๊ณ ์˜ ์„ ์ƒ๋‹˜๋“ค์ด ๊ฐ€๋ฅด์น˜๋Š” ์˜์–ด ์ˆ˜์—…์„ ๋ณด๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋™์˜์ƒ ํŽ˜์ด์ง€์— ํ‘œ์‹œ๋˜๋Š” ์˜์–ด ์ž๋ง‰์„ ๋”๋ธ” ํด๋ฆญํ•˜๋ฉด ๊ทธ๊ณณ์—์„œ ๋™์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ์žฌ์ƒ์— ๋งž์ถฐ ์ž๋ง‰์ด ์Šคํฌ๋กค๋ฉ๋‹ˆ๋‹ค. ์˜๊ฒฌ์ด๋‚˜ ์š”์ฒญ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ด ๋ฌธ์˜ ์–‘์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

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