TEDxToronto 2011
Ariel Garten: Know thyself, with a brain scanner
愛瑞兒‧賈天：認識自己，透過一台大腦掃瞄器
Filmed:
Readability: 4.2
480,514 views
想像你玩一個透過你大腦操控的電玩遊戲。再想像那款遊戲也同時告訴你關於你緊張、放鬆及專注的模式。在TEDxToronote上，愛瑞兒‧賈天展現當我們看著自己的大腦活動會如何為「認識自己」這句古老箴言賦予新意。
Ariel Garten - Artist, scientist and entrepreneur
As CEO of InteraXon, Ariel Garten works to close the gap between science, art, business and technology. Full bio
As CEO of InteraXon, Ariel Garten works to close the gap between science, art, business and technology. Full bio
Double-click the English transcript below to play the video.
00:15
The maxim, "Know thyself"
0
0
2000
「認識自己」這句箴言
00:17
has been around since the ancient Greeks.
1
2000
2000
自古希臘時代就存在
00:19
Some attribute this golden world knowledge to Plato,
2
4000
3000
有人認為這句箴言出自於柏拉圖
00:22
others to Pythagoras.
3
7000
2000
其他人覺得它出自畢達哥拉斯
00:24
But the truth is it doesn't really matter which sage said it first,
4
9000
3000
但事實上，哪一位先知最早說這句話根本不重要
00:27
because it's still sage advice, even today.
5
12000
3000
因為這句話到現在都還是個睿智的建言
00:31
"Know thyself."
6
16000
2000
「認識自己」
00:33
It's pithy
7
18000
2000
真是精簡
00:35
almost to the point of being meaningless,
8
20000
2000
精簡到近乎沒有意義
00:37
but it rings familiar and true, doesn't it?
9
22000
3000
但它又是那麼讓人熟悉又真實，不是嗎？
00:40
"Know thyself."
10
25000
3000
「認識自己」
00:43
I understand this timeless dictum
11
28000
2000
我對這句永恆格言的解讀是
00:45
as a statement about the problems, or more exactly the confusions,
12
30000
3000
它闡述著我們對意識的疑惑
00:48
of consciousness.
13
33000
2000
或者更精確地說，困惑
00:50
I've always been fascinated with knowing the self.
14
35000
2000
我一直以來都被「認識自己」所強烈吸引
00:52
This fascination led me to submerge myself in art,
15
37000
2000
這樣的迷戀引導我去沉浸在藝術中
00:54
study neuroscience
16
39000
2000
去研究神經科學
00:56
and later to become a psychotherapist.
17
41000
2000
而且後來成為一位精神治療醫師
00:58
Today I combine all my passions
18
43000
2000
今時今日，我集結所有的熱情
01:00
as the CEO of InteraXon,
19
45000
2000
去做好InteraXon的執行長
01:02
a thought-controlled computing company.
20
47000
2000
（InteraXon是）一家發展由思想所操控的電腦的公司
01:04
My goal, quite simply,
21
49000
2000
我的目標，簡單來講
01:06
is to help people become more in tune
22
51000
2000
就是幫助他人變得
01:08
with themselves.
23
53000
2000
跟自己本身更協調
01:10
I take it from this little dictum,
24
55000
2000
我的靈感就是來自於這句格言
01:12
"Know thyself."
25
57000
2000
「認識自己」
01:14
If you think about it,
26
59000
2000
你想想看
01:16
this imperative is kind of the defining characteristic of our species,
27
61000
2000
這個祈使句正是我們人類物種的關鍵特質
01:18
isn't it?
28
63000
2000
不是嗎？
01:20
I mean, it's self-awareness
29
65000
2000
我的意思是，它代表著「自我意識」
01:22
that separates Homo sapiens
30
67000
2000
它將現代人種跟
01:24
from earlier instances of our mankind.
31
69000
3000
過去的人類型態區隔開來
01:27
Today we're often too busy
32
72000
2000
當代的我們經常太忙於
01:29
tending to our iPhones and iPods
33
74000
2000
查看我們的iPhone以及iPod
01:31
to really stop and get to know ourselves.
34
76000
3000
無法停下來好好了解自己
01:34
Under the deluge of minute-to-minute text conversations,
35
79000
3000
在如潮水般湧來的文字訊息
01:37
emails, relentless exchange of media channels
36
82000
3000
電子郵件、媒體頻道不停地播送
01:40
and passwords and apps and reminders and Tweets and tags,
37
85000
3000
以及密碼、小程式以及提醒訊息以及推特訊息以及標籤
01:43
we lose sight of what all this fuss is supposed to be about in the first place:
38
88000
3000
我們忽略了這些忙碌與混亂的根源
01:46
ourselves.
39
91000
2000
我們自己
01:48
Much of the time we're transfixed
40
93000
2000
大部分的時間裡，我們都被那些向全世界展現自我的管道
01:50
by all of the ways we can reflect ourselves into the world.
41
95000
4000
給釘住了
01:54
And we can barely find the time to reflect deeply
42
99000
3000
而我們幾乎找不到任何時間來
01:57
back in on our own selves.
43
102000
3000
向內心深處反省自我
02:00
We've cluttered ourselves up with all this.
44
105000
2000
我們給自己招來這些雜亂
02:02
And we feel like we have to get
45
107000
2000
而且我們感覺我們必須
02:04
far, far away to a secluded retreat, leaving it all behind.
46
109000
3000
退隱到無人之處，才能擺脫這一切
02:07
So we go far away
47
112000
2000
然後當我們去一個遙遠的地方時
02:09
to the top of a mountain,
48
114000
2000
到一個山頂
02:11
assuming that perching ourselves on a piece
49
116000
2000
我們以為只要佇立在一個孤獨之處
02:13
is bound to give us the respite we need
50
118000
2000
就能夠提供我們需要的歇息
02:15
to sort the clutter, the chaotic everyday,
51
120000
2000
來整理雜亂，每天的混亂
02:17
and find ourselves again.
52
122000
2000
並且重新找回自我
02:19
But on that mountain
53
124000
2000
但是，在那讓我們找回心靈平靜
02:21
where we gain that beautiful peace of mind,
54
126000
3000
的山上
02:24
what are we really achieving?
55
129000
3000
我們真的得到了什麼？
02:27
It's really only a successful escape.
56
132000
3000
我們只是成功地逃避了現實
02:30
Think of the term we use, "Retreat."
57
135000
2000
想想我們用的字眼「退隱」
02:32
This is the term that armies use when they've lost a battle.
58
137000
3000
這個字眼是當軍隊打敗仗時使用
02:35
It means we've got to get out of here.
59
140000
2000
它的意思是「我們必須離開這裡」
02:37
Is this how we feel about the pressures of our world,
60
142000
2000
這就是我們對這個世界上壓力的感覺嗎？
02:39
that in order to get inside ourselves,
61
144000
2000
所以為了要探索自我
02:41
you have to run for the hills?
62
146000
3000
你就必須逃離現實嗎？
02:44
And the problem with escaping your day-to-day life
63
149000
3000
況且，從你每日生活中逃離的問題是
02:47
is that you have to come home eventually.
64
152000
3000
你最終還是必須要回來
02:50
So when you think about it,
65
155000
2000
因此，你想想看
02:52
we're almost like a tourist
66
157000
2000
我們就像是觀光客
02:54
visiting ourselves over there.
67
159000
3000
去那邊參觀自己
02:57
And eventually that vacation's got to come to an end.
68
162000
3000
然爾最後旅遊以回家告終
03:00
So my question to you is,
69
165000
3000
所以，我給你們的問題是：
03:03
can we find ways to know ourselves
70
168000
2000
我們能不能不靠「逃避」
03:05
without the escape?
71
170000
2000
也能找到「認識自我」的方法？
03:07
Can we redefine our relationship
72
172000
2000
我們能不能重新定義
03:09
with the technologized world
73
174000
2000
我們跟這個科技化世界之間的關係
03:11
in order to have the heightened sense of self-awareness
74
176000
2000
來獲得我們所探索的
03:13
that we seek?
75
178000
2000
更高的自我意識？
03:15
Can we live here and now in our wired web
76
180000
3000
我們能不能住在這個互連的網絡裡
03:18
and still follow those ancient instructions,
77
183000
3000
但同時也遵循那些古老的教誨
03:21
"Know thyself?"
78
186000
3000
「認識自己」？
03:24
I say the answer is yes.
79
189000
2000
我認為答案是「可以」
03:26
And I'm here today to share a new way
80
191000
2000
我今天在這裡要分享一個新方法
03:28
that we're working with technology to this end
81
193000
2000
我們正嘗試以科技來實現建構這個方法
03:30
to get familiar with our inner self
82
195000
2000
讓我們對自己的內心深處
03:32
like never before --
83
197000
2000
比以前都更加了解
03:34
humanizing technology
84
199000
2000
將科技「人性化」
03:36
and furthering that age-old quest of ours
85
201000
2000
然後去繼續人類千古的探索
03:38
to more fully know the self.
86
203000
3000
來更了解自己
03:41
It's called thought-controlled computing.
87
206000
4000
這項技術稱之為「由思想操控的電腦運算」
03:47
You may or may not have noticed
88
212000
2000
你可能已經注意到了
03:49
that I'm wearing a tiny electrode on my forehead.
89
214000
2000
我額頭上有一個微小的電極
03:51
This is actually a brainwave sensor
90
216000
2000
這其實是一個腦波感應器
03:53
that's reading the electrical activity of my brain
91
218000
2000
當我在這裡演講時
03:55
as I give this talk.
92
220000
2000
它就在讀取我大腦的電波活動
03:57
These brainwaves are being analyzed and we can see them as a graph.
93
222000
3000
這些腦波就正在被分析，而我們可以透過一個圖表來看
04:00
Let me show you what it looks like.
94
225000
3000
讓我秀一下它長什麼樣
04:03
That blue line there is my brainwave.
95
228000
3000
那條藍線，就是我的腦波
04:06
It's the direct signal being recorded from my head,
96
231000
2000
那是我從我頭上直接記錄下來的訊號
04:08
rendered in real time.
97
233000
2000
同步處理
04:10
The green and red bars show that same signal displayed by frequency,
98
235000
3000
綠色和紅色的線呈現那個相同訊號的頻率
04:13
with lower frequencies here
99
238000
2000
這邊是低頻率
04:15
and higher frequencies up here.
100
240000
2000
那邊是高頻率
04:17
You're actually looking inside my head as I speak.
101
242000
3000
在我說話的同時，你也在觀察我的大腦內部
04:22
These graphs are compelling, they're undulating,
102
247000
3000
這些圖表很驚人的，是起伏變化的
04:25
but from a human's perspective,
103
250000
2000
但從一個人類的觀點來看
04:27
they're actually not very useful.
104
252000
2000
它其實沒有太大用處
04:29
That's why we've spent a lot of time
105
254000
2000
這也是為什麼我們花很多時間
04:31
thinking about how to make this data meaningful
106
256000
2000
去思考如何讓這些資料對使用者
04:33
to the people who use it.
107
258000
2000
變得有意義
04:35
For instance, what if I could use this data
108
260000
3000
譬如，假如我能夠用這些資料
04:38
to find out how relaxed I am at any moment?
109
263000
2000
去了解在任何時刻我的心情有多放鬆？
04:40
Or what if I can take that information
110
265000
2000
或者，假如我們可以用那些資訊
04:42
and put it into an organic shape up on the screen?
111
267000
3000
然後把它們用有機形狀在螢幕上呈現？
04:45
The shape on the right over here
112
270000
3000
右邊這裡的形狀
04:48
has become an indicator of what's going on in my head.
113
273000
2000
成為我大腦狀態的指標
04:50
The more relaxed I am,
114
275000
2000
我越放輕鬆
04:52
the more the energy's going to fall through it.
115
277000
2000
越多的能量會掉落
04:54
I may also be interested in knowing
116
279000
2000
我也可能想知道
04:56
how focused I am,
117
281000
2000
我專注的程度
04:58
so I can put my level of attention into the circuit board on the other side.
118
283000
3000
那麼我就可以將專注的程度呈現在電路板的另一側
05:01
And the more focused my brain is,
119
286000
2000
我的大腦越專注
05:03
the more the circuit board is going to surge with energy.
120
288000
3000
電路板會越有能量
05:06
Ordinarily, I would have no way of knowing how focused or relaxed I was
121
291000
3000
一般來說，我無法以任何具體的方式
05:09
in any tangible way.
122
294000
3000
知道我有多放輕鬆
05:12
As we know, our feelings about how we're feeling
123
297000
2000
正如我們所知，我們對於「自己感覺」的感覺
05:14
are notoriously unreliable.
124
299000
2000
是出了名得不可靠
05:16
We've all had stress creep up on us without even noticing it
125
301000
3000
我們在不知不覺中就壓力大了起來
05:19
until we lost it on someone who didn't deserve it,
126
304000
2000
直到我們把壓力宣洩在無辜的人身上
05:21
and then we realize that we probably should have checked in with ourselves
127
306000
3000
然後我們才意識到，我們應該要及早
05:24
a little earlier.
128
309000
2000
自我察覺
05:26
This new awareness
129
311000
2000
這種新的自我意識
05:28
opens up vast possibilities
130
313000
2000
為改善我們生活的科技應用
05:30
for applications that help improve our lives and ourselves.
131
315000
3000
提供眾多新的機遇
05:33
We're trying to create technology that uses the insights
132
318000
3000
我們正試著研發一種技術，可以捕捉這些頻率
05:36
to make our work more efficient, our breaks more relaxing
133
321000
3000
來讓我們工作更有效率，讓休息更加怡人
05:39
and our connections deeper and more fulfilling than ever.
134
324000
3000
而且我們之間的連結會比以前更深刻、更有意義
05:43
I'm going to share some of these visions with you in a bit,
135
328000
3000
我要跟你們分享這些願景的一部分
05:46
but first I want to take a look at how we got here.
136
331000
3000
但首先，我要回顧我們如何走到今天
05:49
By the way, feel free to check in on my head at any time.
137
334000
3000
順帶一提，你可以隨時都看一下我大腦的活動
05:52
(Laughter)
138
337000
2000
（笑聲）
05:54
My team at InteraXon and I
139
339000
2000
我以及InteraXon團隊
05:56
have been developing throught-controlled application for almost a decade now.
140
341000
3000
已經花了大約十年在發展「透過思想操控」的應用方式
05:59
In the first phase of development
141
344000
2000
在發展的最初階段裡
06:01
we were really enthused by all the things we could control with our mind.
142
346000
3000
我們對於可以透過大腦操控的所有事物感到興奮
06:04
We were making things activate, light up and work
143
349000
3000
就只透過思考，我們就可以讓東西開啟
06:07
just by thinking.
144
352000
2000
點亮，並且運作
06:09
We were transcending the space
145
354000
2000
我們跨越大腦與裝置
06:11
between the mind and the device.
146
356000
2000
之間的空間
06:13
We brought to life a vast array of prototypes and products
147
358000
3000
我們成功做出各式各樣可以用大腦操控
06:16
that you could control with your mind,
148
361000
2000
的原型樣本以及成品
06:18
like thought-controlled home appliances
149
363000
2000
像是透過思考操控的家電用品
06:20
or slot car games or video games
150
365000
2000
或者軌道賽車遊戲，或者電玩遊戲
06:22
or a levitating chair.
151
367000
2000
或者讓椅子騰空飛起來
06:24
We created technology and applications
152
369000
2000
我們創造出能發揮人類想像力的
06:26
that engaged people's imaginations,
153
371000
2000
科技與應用產品
06:28
and it was really exciting.
154
373000
2000
那真的很令人興奮
06:30
And then we were asked to do something really big
155
375000
2000
之後，我們受託製作一個非常大的東西
06:32
for the Olympics.
156
377000
2000
給奧運會
06:34
We were invited to create a massive installation
157
379000
2000
我們受託來製作一個巨型裝置
06:36
at the Vancouver 2010 winter Olympics,
158
381000
2000
在2010年的溫哥華冬季奧運
06:38
were used in Vancouver,
159
383000
2000
位於溫哥華
06:40
got to control the lighting on the C.N. Tower,
160
385000
2000
只靠思考
06:42
the Canadian Parliament buildings and Niagara Falls
161
387000
3000
就能夠從國家的另一頭
06:45
from all the way across the country
162
390000
3000
點亮西恩塔（C.N. Tower）
06:48
using their minds.
163
393000
2000
加拿大國會大樓以及尼加拉瓜大瀑布
06:50
Over 17 days at the Olympics 7,000 visitors from all over the world
164
395000
3000
在奧運的17天裡，7000位來自世界各地的訪客
06:53
actually got to individually control the light
165
398000
2000
每一位都實際用他們的大腦，從國家的另一頭
06:55
from the C.N. Tower, parliament and Niagara in real time
166
400000
2000
從3000公里遠的地方
06:57
with their minds from across the country,
167
402000
2000
同步控制西恩塔、國會大樓
06:59
3,000 km away.
168
404000
2000
以及尼加拉瓜大瀑布的燈光
07:01
So controlling stuff with your mind
169
406000
2000
用大腦來操作東西
07:03
is pretty cool.
170
408000
2000
是蠻酷的
07:05
But we're always interested in multi-tiered levels of human interaction.
171
410000
3000
但我們總是對多層次的人類互動更感興趣
07:08
And so we began looking into inventing
172
413000
2000
因此，我們開始研究如何在一個比「控制」更複雜的框架中
07:10
thought-controlled applications
173
415000
2000
去發明
07:12
in a more complex frame than just control.
174
417000
3000
運用思想操作的應用產品
07:15
And that was responsiveness.
175
420000
3000
而那就是「回應能力」
07:18
We realized that we had a system
176
423000
2000
我們發現我們有一個
07:20
that allowed technology to know something about you.
177
425000
2000
讓科技了解你的系統
07:22
And it could join into the relationship with you.
178
427000
4000
它還可以跟你建立關係
07:26
We created the responsive room
179
431000
2000
我們創造了一間「互動房間」
07:28
where the lights music and blinds adjusted to your state.
180
433000
3000
裡面的燈光、音樂以及窗簾都依照你的狀態做調整
07:31
They followed these little shifts in your mental activity.
181
436000
3000
它們會依循著你心智狀態的小幅變化
07:34
So as you settled into relaxation at the end of a hard day,
182
439000
2000
所以，當你在辛苦了一整天之後
07:36
on the couch in our office,
183
441000
2000
坐在沙發上或辨公室裡，放輕鬆
07:38
the music would mellow with you.
184
443000
3000
音樂會跟著變得柔和微醺
07:41
When you read, the desk lamp would get brighter.
185
446000
2000
當你閱讀時，桌燈會變亮
07:43
If you nod off, the system would know,
186
448000
3000
你打瞌睡時，系統會知道
07:46
dimming to darkness as you do.
187
451000
3000
同時把燈光調暗
07:49
We then realized that if technology could know something about you
188
454000
3000
我們發現，假如科技知道關於你的事情
07:52
and use it to help you,
189
457000
2000
然後用之於幫助你
07:54
there's an even more valuable application than that.
190
459000
3000
那會有更具有價值的應用層面
07:57
That you could know something about yourself.
191
462000
3000
你會更了解你自己
08:00
We could know sides of ourselves
192
465000
2000
我們就能夠知道那些幾乎隱藏著
08:02
that were all but invisible
193
467000
2000
的不同面向
08:04
and come to see things that were previously hidden.
194
469000
3000
並且看到之前被隱藏著的事物
08:07
Let me show you an example of what I'm talking about here.
195
472000
2000
讓我用一個例子來解釋我的話
08:09
Here's an application
196
474000
2000
這是一個我為iPad
08:11
that I created for the iPad.
197
476000
2000
創造的一個應用程式
08:13
So the goal of the original game Zen Bound
198
478000
2000
Zen Bound最初遊戲的目標是
08:15
is to wrap a rope around a wooden form.
199
480000
2000
把一條繩子纏繞在一塊木頭上
08:17
So you use it with your headset.
200
482000
2000
那麼你就用一個頭戴式感應器
08:19
The headset connects wirelessly to an iPad or a smartphone.
201
484000
3000
頭套會以無線方式跟iPad或智能手機連線
08:22
In that headset
202
487000
2000
你戴上那個頭套後
08:24
you have fabric sensors on your forehead and above the ear.
203
489000
3000
在你的額頭和耳朵上方都有組織感應器
08:27
In the original Zen Bound game,
204
492000
2000
在原來的Zen Bound遊戲中
08:29
you play it by scrolling your fingers over the pad.
205
494000
3000
你玩的方式是用手指滑過iPad
08:32
In the game that we created, of course,
206
497000
2000
在我們創造的遊戲裡，當然
08:34
you control the wooden form that's on the screen there
207
499000
2000
你用大腦控制螢幕上
08:36
with your mind.
208
501000
2000
的這塊木頭
08:38
As you focus on the wooden form,
209
503000
2000
當你專注在那塊木頭時
08:40
it rotates.
210
505000
2000
它會旋轉
08:42
The more you focus, the faster the rotation.
211
507000
3000
你越專注，旋轉越快
08:45
This is for real.
212
510000
2000
這是真的
08:47
This is not a fake.
213
512000
2000
無半點虛假
08:49
What's really interesting to me though
214
514000
2000
但是對我而言，最有趣的是
08:51
is at the end of the game you get stats and feedback
215
516000
2000
在遊戲結束時，你會看到你表現如何
08:53
about how you did.
216
518000
2000
的統計數據和回饋意見
08:55
You have graphs and charts
217
520000
2000
你會看到圖型和表格
08:57
that tell you how your brain was doing --
218
522000
2000
說明你的大腦表現如何
08:59
not just how much rope you used or what your high score is,
219
524000
3000
不是你用了多長的繩子或分數多高
09:02
but what was going on
220
527000
2000
而且你大腦裡面
09:04
inside of your mind.
221
529000
2000
經歷了什麼變化
09:06
And this is valuable feedback
222
531000
2000
這是很有價值的反饋訊息
09:08
that we can use to understand what's going on
223
533000
3000
可以用於了解我們內心
09:11
inside of ourselves.
224
536000
3000
的運作方式
09:14
I like to call this
225
539000
2000
我喜歡稱之為
09:16
"intra-active."
226
541000
2000
「向內互動」
09:18
Normally we think about technology
227
543000
2000
通常我們想到科技
09:20
as interactive.
228
545000
2000
就想到「向外互動」
09:22
This technology
229
547000
2000
這項科技是
09:24
is intra-active.
230
549000
2000
「向內互動」
09:26
It understands what's inside of you
231
551000
3000
它了解你的大腦內部
09:29
and builds a sort of responsive relationship
232
554000
3000
並且在你和你的科技之間
09:32
between you and your technology
233
557000
2000
建構一套回應關係
09:34
so that you can use this information
234
559000
2000
讓你能夠用這些資訊
09:36
to move you forward.
235
561000
2000
去幫你進步
09:38
So you can use this information
236
563000
2000
讓你可以用這些資訊
09:40
to understand you in a responsive loop.
237
565000
3000
在一個回應的循環機制裡，了解你自己
09:43
At InteraXon,
238
568000
4000
在InteraXon
09:47
intra-active technology
239
572000
3000
「向內互動」科技
09:50
is one of our really defining mandates.
240
575000
3000
是我們最具特色的項目
09:53
It's how we understand the world inside
241
578000
3000
它幫助我們了解內在世界
09:56
and reflect it outside
242
581000
2000
並且在外在世界表現出來
09:58
into this tight loop.
243
583000
3000
通過緊密的迴圈
10:01
For example, thought-controlled computing
244
586000
3000
舉例而言，由思想操控的電腦運算
10:04
can teach children with ADD
245
589000
2000
可以教導過動兒
10:06
how to improve their focus.
246
591000
2000
如何強化他們的專注力
10:08
With ADD, children have a low proportion of beta waves for focus states
247
593000
4000
因為「注意力缺陷障礙」，這些小孩專注狀態的貝他波的比例比較小
10:12
and a high proportion of theta states.
248
597000
2000
而且有比較高比例的夕它狀態
10:14
So you can create applications that reward focused brain states.
249
599000
3000
因此，你可以創造獎勵專注的大腦狀態的應用程式
10:17
So you can imagine kids playing video games with their brain waves
250
602000
3000
你就能想像小孩用他們的腦波來玩電玩遊戲
10:20
and improving their ADD symptoms as they do it.
251
605000
3000
同時間改善他們的「注意力缺乏障礙」
10:23
This can be as effective as Ritalin.
252
608000
3000
這可以跟「利他能」（一種治療過動兒的藥物）一樣有效
10:26
Perhaps even more importantly,
253
611000
2000
但更重要的是
10:28
thought-controlled computing can give children with ADD
254
613000
2000
由思想操控的電腦運算技術可以提供過動兒
10:30
insights into their own fluctuating mental states,
255
615000
3000
洞察他們自己變動不斷的心智狀態
10:33
so they can better understand themselves
256
618000
2000
讓他們更了解自己
10:35
and their learning needs.
257
620000
2000
以及他們在學習上的需要
10:37
The way these children will be able to use their new awareness to improve themselves
258
622000
4000
這些讓孩童靠自覺來改善自己的方法
10:41
will upend many of the damaging and widespread social stigmas
259
626000
3000
將會終結許多普遍、具傷害性的社會歧視
10:44
that people who are diagnosed as different
260
629000
2000
終結那些人被診斷為異於常人的患者
10:46
are challenged with.
261
631000
2000
所受到的挑戰
10:48
We can peer inside our heads
262
633000
2000
我們可以窥视大腦內部
10:50
and interact with what was once locked away from us,
263
635000
2000
解开過去未知的领域
10:52
what once mystified and separated us.
264
637000
5000
那些神祕与我们分离的事物
10:57
Brainwave technology can understand us, anticipate our emotions
265
642000
3000
腦波技術能获知我們及我們的情緒
11:00
and find the best solutions for our needs.
266
645000
2000
並且為我們的需求找到最好的解決之道
11:02
Imagine this collected awareness of the individual
267
647000
3000
想像將一個人所有的知覺蒐集起來
11:05
computed and reflected across an entire lifespan.
268
650000
3000
透過電腦處理，呈现一个人的人生
11:08
Imagine the insights that you can gain
269
653000
2000
想像你能夠從這種「第二視覺」
11:10
from this kind of second sight.
270
655000
2000
獲得的洞悉
11:12
It would be like plugging into your own personal Google.
271
657000
3000
那會像是探索你個人的Google
11:15
On the subject of Google,
272
660000
2000
談到Google
11:17
today you can search and tag images
273
662000
2000
今天你可以做搜尋，並且依照你
11:19
based on the thoughts and feelings you had while you watched them.
274
664000
3000
看照片時的想法及心情去標記照片
11:22
You can tag pictures of baby animals as happy,
275
667000
2000
你可以將小動物的照片標記為「開心」
11:24
or whatever baby animals are to you,
276
669000
3000
或者任何小動物對你的意義
11:27
and then you can search that database,
277
672000
2000
然後你就可以搜尋那個資料庫
11:29
navigating with your feelings,
278
674000
2000
透過你的心情去瀏覽
11:31
rather than the keywords that just hint at them.
279
676000
3000
而非暗示他們的關鍵字
11:34
Or you could tag Facebook photos
280
679000
2000
或者你可以用
11:36
with the emotions that you had associated
281
681000
3000
跟那些回憶相關的情緒
11:39
with those memories
282
684000
2000
去標註臉書上的照片
11:41
and then instantly prioritize
283
686000
2000
然後即刻將引起你注意的
11:43
the streams that catch your attention,
284
688000
2000
照片集做排序
11:45
just like this.
285
690000
3000
就像這樣子
11:48
Humanizing technology
286
693000
2000
人性化的科技
11:50
is about taking what's already natural about the human-tech experience
287
695000
3000
就是利用人類與科技互動經驗中最自然的部份
11:53
and building technology seamlessly in tandem with it.
288
698000
3000
然後創造出可以與之無縫地運作的科技
11:56
As it aligns with our human behaviors,
289
701000
2000
當那種科技跟人類行為做結合時
11:58
it can allow us to make better sense of what we do
290
703000
3000
它可以讓我們更加理解我們的行為
12:01
and, more importantly, why,
291
706000
3000
和其中的緣由，這是最重要的
12:04
creating a big picture
292
709000
2000
將小細節集聚起來
12:06
out of all the important little details
293
711000
2000
構建出一個反映我們自身
12:08
that make up who we are.
294
713000
2000
的大架構
12:10
With humanized technology
295
715000
2000
靠著人性化的科技
12:12
we can monitor the quality of your sleep cycles.
296
717000
2000
我們可以監控你睡眠循環的品質
12:14
When our productivity starts to slacken,
297
719000
3000
當我們的生產力開始下滑時
12:17
we can go back to that data
298
722000
2000
我們可以回顧那些資料
12:19
and see how we can make more effective balance
299
724000
2000
看看我們如何在工作與玩樂之間
12:21
between work and play.
300
726000
2000
找到一個更有效率的平衡點
12:23
Do you know what causes fatigue in you
301
728000
2000
你知道什麼東西造成你疲憊嗎？
12:25
or what brings out your energetic self,
302
730000
2000
或者什麼東西讓你精神百倍？
12:27
what triggers cause you to be depressed
303
732000
3000
什麼東西讓你憂鬱消沈
12:30
or what fun things are going to bring you out of that funk?
304
735000
4000
或者什麼有趣事情能夠把你從消沉中解救出來？
12:34
Imagine if you had access to data
305
739000
2000
想像假如你能夠獲得這些資料
12:36
that allowed you to rank on a scale of overall happiness
306
741000
3000
讓你在整體幸福量表上排出
12:39
which people in your life made you the happiest,
307
744000
3000
在你生命中，誰讓你最快樂
12:42
or what activities brought you joy.
308
747000
3000
什麼活動讓你心生喜悅
12:45
Would you make more time for those people? Would you prioritize?
309
750000
3000
你會騰出更多時間給那些人嗎？你會怎麼排列主次？
12:48
Would you get a divorce?
310
753000
3000
你會離婚嗎？
12:51
What thought-controlled computing can allow you to do
311
756000
2000
由思想操控的電腦運算技術能夠讓你
12:53
is build colorful layered pictures of our lives.
312
758000
3000
建構你生命的多彩、多層次圖案
12:56
And with this, we can get the skinny on our psychological happenings
313
761000
3000
有了這個，我們就可以洞悉我們心智活動的內幕
12:59
and build a story of our behaviors over time.
314
764000
3000
並且逐步建構一個我們行為的故事
13:02
We can begin to see the underlying narratives
315
767000
2000
我們能夠開始看到那些
13:04
that propel us forward
316
769000
2000
驅使我們前進的潛在動力
13:06
and tell us about what's going on.
317
771000
3000
並且知道發生什麼事
13:09
And from this,
318
774000
2000
這樣一來
13:11
we can learn how to change the plot, the outcome
319
776000
2000
我們可以學習如何改變我們人生故事的
13:13
and the character
320
778000
2000
劇情、結果
13:15
of our personal stories.
321
780000
2000
以及角色
13:17
Two millennia ago,
322
782000
2000
兩千年前
13:19
those Greeks had some powerful insights.
323
784000
3000
那些希臘人提出很銳利的洞見
13:22
They knew that a fundamental piece falls into place
324
787000
3000
他們知道當你開始遵循他們的格言
13:25
when you start to live out their little phrase,
325
790000
3000
當你慢慢了解你自己後
13:28
when you come into contact with yourself.
326
793000
3000
你就完成了人生重要的一環
13:31
They understood the power of human narrative
327
796000
3000
他們知道人類敘述的力量
13:34
and the value that we place on humans
328
799000
2000
以及我們對於人類不斷變化、
13:36
as changing, evolving and growing.
329
801000
3000
進化以及成長的重要性
13:39
But they understood something more fundamental --
330
804000
3000
但他們也知道更基本的事情
13:42
the sheer joy in discovery,
331
807000
3000
有新發現時的愉悅
13:45
the delight and fascination that we get from the world
332
810000
3000
從這個世界以及做自己
13:48
and being ourselves in it,
333
813000
2000
獲得的開心及陶醉
13:50
the richness that we get
334
815000
2000
我們由看到、感覺到、知道我們的生命
13:52
from seeing, feeling and knowing the lives that we are.
335
817000
3000
所獲得的豐足
13:55
My mom's an artist,
336
820000
2000
我的母親是一位藝術家
13:57
and as a child I'd often see her bring things to life with the stroke of a brush.
337
822000
3000
在我童年裡，我經常看到她用畫筆為東西注入生命
14:00
One moment it was all white space, pure possibility.
338
825000
3000
前一刻還是一整片白色，充滿可能性
14:03
The next, it was alive
339
828000
2000
在她多彩多姿的想法及呈現之下
14:05
with her colorful ideas and expressions.
340
830000
3000
一切就鮮活起來了
14:08
As I sat easel-side,
341
833000
2000
當我坐在畫架旁邊
14:10
watching her transform canvas after canvas,
342
835000
3000
看著她塗抹一張又一張的油畫布
14:13
I learned that you could create your own world.
343
838000
4000
我懂得你可以創造你自己的世界
14:17
I learned that our own inner worlds --
344
842000
2000
我學到我們的內在世界
14:19
our ideas, emotions and imaginations --
345
844000
3000
我們的想法、情緒及想像
14:22
were, in fact, not bound by our brains and bodies.
346
847000
4000
其實並非局限於我們的大腦及身體
14:26
If you could think it, if you could discover it,
347
851000
3000
如果你可以思考，如果你可以發現它
14:29
you could bring it to life.
348
854000
3000
你就能夠創造它
14:32
To me, thought-controlled computing
349
857000
2000
對我而言，由思想操控的電腦運算技術
14:34
is as simple and powerful as a paintbrush --
350
859000
2000
就跟一支畫筆一樣簡單又有力
14:36
one more tool to unlock and enliven
351
861000
3000
是另一個可以開啟並活化
14:39
the hidden worlds within us.
352
864000
2000
我們內在世界的工具
14:41
I look forward to the day
353
866000
2000
我期待有一天
14:43
that I can sit beside you, easel-side,
354
868000
3000
我能夠坐在你身邊，在畫架旁邊
14:46
watching the world that we can create
355
871000
2000
看著我們用我們的新工具箱
14:48
with our new toolboxes
356
873000
2000
所創造出來的世界
14:50
and the discoveries that we can make
357
875000
2000
以及那些關於我們自己
14:52
about ourselves.
358
877000
2000
的新發現
14:54
Thank you.
359
879000
2000
謝謝
14:56
(Applause)
360
881000
2000
（掌聲）
ABOUT THE SPEAKER
Ariel Garten - Artist, scientist and entrepreneurAs CEO of InteraXon, Ariel Garten works to close the gap between science, art, business and technology.
Why you should listen
Ariel Garten is the CEO and co-founder of InteraXon, which creates thought controlled computing products and applications. Ariel has also researched at the Krembil Neuroscience Institute studying hippocampal neurogenesis, displayed work at the Art Gallery of Ontario, been head designer at a fashion label, and opened Toronto Fashion Week. Referred to as the “Brain Guru”, Ariel and her team’s work has been featured in hundreds of articles in over 20 countries.
Ariel Garten | Speaker | TED.com