TEDGlobal 2010
Peter Molyneux: Meet Milo, the virtual boy
Peter Molyneux demos Milo, the virtual boy
Filmed:
Readability: 3.5
852,770 views
彼得·莫利纽克斯演示了在微软体感交互式立体游戏控制器系统（Kinect）平台上的一款备受瞩目的视频游戏：米洛。这个虚世界拟的男孩可以看、听、学习并认出和回应你，像一名真正的11岁男孩一样。
Peter Molyneux - Game changer
The head of Microsoft's European games division, Peter Molyneux is building an astonishing new "virtual friend" who interacts with you. Full bio
The head of Microsoft's European games division, Peter Molyneux is building an astonishing new "virtual friend" who interacts with you. Full bio
Double-click the English transcript below to play the video.
00:16
When I saw a piece of technology called Kinect --
0
1000
3000
当我了解到一项称为Kinect的新技术——
00:19
it was called Natal -- I was inspired,
1
4000
3000
原来叫做Natal——我有了灵感，
00:22
and I thought for a moment,
2
7000
2000
思考了一会儿，
00:24
maybe it's possible
3
9000
2000
也许可以
00:26
to address that one problem of storytelling,
4
11000
3000
解决一个讲故事时会遇到的问题，
00:29
to create a character
5
14000
3000
即创造一个"人"
00:32
which seemed alive,
6
17000
2000
一个看起来活生生的
00:34
which noticed me,
7
19000
2000
可以看到我，
00:36
that could look me in the eyes
8
21000
2000
可以看到我的内心深处
00:38
and feel real,
9
23000
2000
并且感觉很真实的人，
00:40
and sculpt a story about our relationship.
10
25000
3000
我们之间还能有点感情。
00:43
And so a year ago,
11
28000
3000
所以一年之前
00:46
I showed this off
12
31000
2000
我在E3计算机展览上
00:48
at a computer show called E3.
13
33000
3000
展示了这个东西。
00:51
And this was a piece of technology
14
36000
2000
我们让克莱尔通过这项技术
00:53
with someone called Claire interacting with this boy.
15
38000
3000
同这个小男孩进行互动交流
00:56
And there was a huge row online
16
41000
3000
并且在互联网上引起了激烈的讨论
00:59
about, "Hey, this can't be real."
17
44000
3000
都说“嘿，这不可能吧。”
01:02
And so I waited till now
18
47000
2000
所以我直到现在
01:04
to have an actual demo
19
49000
2000
才对这项崭新高科技
01:06
of the real tech.
20
51000
2000
进行现场演示。
01:08
Now, this tech incorporates
21
53000
2000
现在，这项高科技产品融合了
01:10
three big elements.
22
55000
2000
三项主要技术。
01:12
The first is a Kinect camera,
23
57000
2000
首先是Kinect摄像头，
01:14
which will be out in November,
24
59000
3000
将在11月推出上市，
01:17
some incredible AI
25
62000
2000
还有令人难以置信的人工智能
01:19
that was hidden in the dusty vaults,
26
64000
3000
隐藏在灰尘漫天的地下室里，
01:22
collecting dust
27
67000
2000
微软
01:24
in Microsoft,
28
69000
2000
把这些灰尘打扫，
01:26
plus our quite crude
29
71000
2000
再加上我们在
01:28
attempts at AI
30
73000
2000
狮子头公司
01:30
at a company called Lionhead,
31
75000
3000
人工智能方面的初步尝试，
01:33
mixing all those things together
32
78000
2000
把这些所有的东西合到一起
01:35
just to get to this one simple idea:
33
80000
3000
就得到了一个简单的想法：
01:38
to create a real, living
34
83000
3000
在计算机里创造一个真实、生动
01:41
being in a computer.
35
86000
2000
的生命体。
01:43
Now, I'll be honest with you
36
88000
3000
现在，我要诚实的告诉你
01:46
and say that most of it
37
91000
2000
这其中的大多数
01:48
is just a trick,
38
93000
2000
只是个戏法儿，
01:50
but it's a trick that actually works.
39
95000
3000
但这戏法儿确实有效 。
01:53
So why don't we go over and have
40
98000
2000
现在，让我们一起过来
01:55
a look at the demo now.
41
100000
2000
看看演示吧。
01:57
This is Dimitri.
42
102000
2000
他是迪米特里。
01:59
Dimitri, just waggle your arm around.
43
104000
3000
迪米特里，来回摆摆你的手。
02:02
Now, you notice he's sitting.
44
107000
2000
请注意，他现在是坐着的。
02:04
There are no controllers,
45
109000
2000
没有用控制器，
02:06
no keyboards,
46
111000
2000
没有键盘，
02:08
or mice,
47
113000
2000
或者鼠标，
02:10
or joysticks, or joypads.
48
115000
3000
或者操纵杆和手柄。
02:13
He is just going to use
49
118000
2000
他只是正在用
02:15
his hand, his body and his voice,
50
120000
3000
他的手、身体和声音，
02:18
just like humans interact with their hands, body and voice.
51
123000
3000
就像人与人之间用手、身体和声音交流一样。
02:21
So let's move forward.
52
126000
2000
我们继续。
02:23
You're going to meet Milo for the first time.
53
128000
3000
你现在是第一次遇到米洛。
02:27
We had to give him a problem
54
132000
2000
我们得给他设计个难题，
02:29
because when we first created Milo,
55
134000
2000
因为我们第一次创建米洛的时候，
02:31
we realized that he came across as a little bit of a brat,
56
136000
2000
发现他就像个小顽童一样
02:33
to be honest with you.
57
138000
2000
十分顽皮。
02:35
He was quite a know-it-all,
58
140000
2000
他什么都知道，
02:37
and he wanted to kind of make you laugh.
59
142000
2000
并且很友善地逗你开心。
02:39
So the problem we introduced to him was this:
60
144000
2000
因此我们为他引入的问题是：
02:41
he's just moved house.
61
146000
2000
米洛刚刚搬了家。
02:43
He's moved from London
62
148000
2000
他从伦敦
02:45
to New England, over in America.
63
150000
3000
来到在美国的新英格兰。
02:48
His parents are too busy
64
153000
2000
他的父母太忙了
02:50
to listen to his problems,
65
155000
2000
没时间听他的困扰，
02:52
and that's when he starts almost conjuring you up.
66
157000
3000
这时候，他的魔法就要开始了。
02:55
So here he is
67
160000
2000
那么，他现在
02:57
walking through the grass.
68
162000
2000
正在草坪上散步。
02:59
And you're able to interact with his world.
69
164000
3000
你还可以和他交流。
03:02
The cool thing is, what we're doing
70
167000
3000
更酷的是，我们所做的事情
03:05
is we're changing the mind
71
170000
2000
会不断地改变
03:07
of Milo constantly.
72
172000
2000
米洛的思想。
03:09
That means no two people's Milos
73
174000
3000
这就意味着每个人的米洛
03:12
can be the same.
74
177000
2000
都是不同的。
03:14
You're actually sculpting a human being here.
75
179000
3000
实际上在这里你是在塑造一个人。
03:19
So, he's discovering the garden.
76
184000
2000
嗯，他正在探索花园。
03:21
You're helping him discover the garden
77
186000
2000
你得帮他找找看
03:23
by just pointing out these snails.
78
188000
3000
点击那些蜗牛就行。
03:27
Very simple at the start.
79
192000
2000
开始非常简单。
03:29
By the way, if you are a boy, it's snails;
80
194000
3000
顺便说一下，如果是男孩子，这就是蜗牛；
03:32
if you're a girl, it's butterflies
81
197000
3000
如果是女孩子，它会变成蝴蝶，
03:35
because what we found was that girls hate snails.
82
200000
3000
因为我们发现女孩子讨厌蜗牛。
03:38
(Laughter)
83
203000
2000
（笑声）
03:44
So remember, this is the first time you've met him,
84
209000
3000
记住，这是你第一次遇到米洛，
03:47
and we really want to draw you in and make you more curious.
85
212000
3000
实际上我们希望这能吸引你，并引发你的好奇心。
03:52
His face, by the way,
86
217000
2000
另外，他的表情
03:54
is fully AI-driven.
87
219000
2000
是由人工智能驱动的。
03:56
We have complete control over his blush responses,
88
221000
3000
我们完全可以控制他脸红的表情，
03:59
the diameter of his nostrils
89
224000
3000
鼻孔的大小
04:02
to denote stress.
90
227000
2000
来表现他承受的压力。
04:04
We actually do something called body matching.
91
229000
2000
实际上我们用的是肢体工作追踪技术。
04:06
If you're leaning forward,
92
231000
2000
如果你身体前倾，
04:08
he will try and slightly change
93
233000
2000
他会试着稍微改变一下
04:10
the neuro-linguistic nature of his face,
94
235000
3000
他的脸部表情，
04:13
because we went out with this strong idea:
95
238000
2000
因为我们清楚知道我们所要做的是：
04:15
how can we make you believe that something's real?
96
240000
3000
怎样做才能让你们相信这些都是真实的呢？
04:18
Now we've used the hand.
97
243000
2000
之前我们已经用手进行了控制
04:20
The other thing to use is your body.
98
245000
3000
现在还可以用身体。
04:23
Why not just, instead of pushing left and right
99
248000
3000
控制左右方向
04:26
with a mouse or with a joypad,
100
251000
3000
可以用鼠标或操纵杆，
04:29
why not use your body just to lean on the chair --
101
254000
2000
除此之外为什么不用身体呢？
04:31
again, relaxed?
102
256000
2000
这样更轻松一点吧。
04:33
You can lean back,
103
258000
2000
如果向后靠
04:35
but the camera will change its perspective
104
260000
2000
摄像机就会改变视野
04:37
depending on which way you're looking.
105
262000
3000
让你看到这个角度能看到的东西。
04:41
So Dimitri's now going to use --
106
266000
2000
迪米特里现在是用
04:43
he's used his hand; he's used his body.
107
268000
2000
他之前已经用了手和身体来控制。
04:45
He's now going to use the other thing which is essential,
108
270000
3000
现在他要用另一种重要的方法进行控制了，
04:48
and that's his voice.
109
273000
2000
也就是他的声音。
04:50
Now, the thing about voice is,
110
275000
2000
声音这东西，
04:52
our experience with voice recognition
111
277000
2000
语音识别系统带给我们的体验
04:54
is pretty awful, isn't it?
112
279000
2000
一直不怎么样。
04:56
It never works.
113
281000
2000
从来没好使过。
04:58
You order an airline ticket; you end up in Timbuktu.
114
283000
3000
订张机票，结果飞到提布图（非洲城市）去了。
05:02
So we've tackled that problem,
115
287000
2000
这个问题我们已经解决，
05:04
and we've come up with a solution, which we'll see in a second.
116
289000
3000
马上就会看到我们的成果。
05:07
Milo: I could just squish it.
117
292000
2000
米洛：我可以踩扁它。
05:09
Peter Molyneux: What are you going to do, Dimitri?
118
294000
2000
彼得·莫利纽克斯：你打算怎么做呢，迪米特里？
05:11
Female Voice: Squashing a snail may not seem important,
119
296000
2000
女性声音：踩扁蜗牛没什么大不了的，
05:13
but remember, even this choice
120
298000
2000
但请记住，每一次选择
05:15
will affect how Milo develops.
121
300000
3000
都会影响米洛的成长。
05:18
Do you want Milo to squash it?
122
303000
2000
你想让米洛踩扁它吗？
05:20
When you see the microphone,
123
305000
2000
当你看到麦克风时，
05:22
say ... (PM: Squash.) ... yes to decide.
124
307000
2000
就说出...（彼得：踩吧）...你的选择。
05:24
Dimitri: Go on, Milo. Squash it.
125
309000
3000
迪米特里：米洛，去踩扁它。
05:27
PM: No. That's the wrong thing to do.
126
312000
2000
彼得：不要吧，这样不好。
05:29
Now look at his response.
127
314000
2000
现在我们看他的反应。
05:31
He said, "Go on, Milo. Squash it."
128
316000
3000
迪米特里说“米洛，去踩扁它”，
05:34
What we're using there is,
129
319000
2000
这里我们用的是，
05:36
we're using something, a piece of technology called Tellme.
130
321000
2000
我们用了一种叫做Tellme的新科技。
05:38
It's a company that Microsoft acquired some years ago.
131
323000
3000
这是微软前几年收购的一家公司的技术。
05:41
We've got a database of words which we recognize.
132
326000
2000
我们已经为能辨认的字符建立了数据库。
05:43
We pick those words out.
133
328000
2000
把那些字挑出来。
05:45
We also reference that
134
330000
2000
我们也参考了
05:47
with the tonation database
135
332000
2000
我们为迪米特里
05:49
that we build up of Dimitri's voice,
136
334000
3000
或者是其他用户的声音
05:52
or the user's voice.
137
337000
2000
建立的语音数据库。
05:54
Now we need to have a bit more engagement,
138
339000
3000
现在我们需要多一点的交流。
05:57
and again, what we can do
139
342000
2000
同样的，我们能做的
05:59
is we can look at the body.
140
344000
2000
就是用身体来交流。
06:01
And we'll do that in a second.
141
346000
2000
马上就要这么做了。
06:03
Milo: I wonder how deep it is.
142
348000
2000
米洛：我想知道它有多深。
06:13
Deep.
143
358000
2000
挺深的。
06:16
PM: Okay. So what we're going to do now
144
361000
2000
彼得：好，下面我们要做的
06:18
is teach Milo to skim stones.
145
363000
3000
就是教米洛打水漂儿。
06:21
We're actually teaching him.
146
366000
2000
真的要教他打哦。
06:23
It's very, very interesting
147
368000
2000
特别，特别有意思
06:25
that men, more than women,
148
370000
2000
比起女人，男人们
06:27
tend to be more competitive here.
149
372000
3000
在这儿更显得争强好胜。
06:30
They're fine with teaching Milo for the first few throws,
150
375000
3000
他们会好好的教米洛开始的几次，
06:33
but then they want to beat Milo,
151
378000
2000
但之后就想打败他。
06:35
where women,
152
380000
2000
而女人们
06:37
they're more nurturing about this.
153
382000
3000
则教导有方。
06:43
Okay, this is skimming stones.
154
388000
2000
嗯，这就是打水漂儿游戏。
06:45
How do you skim stones?
155
390000
3000
怎么打呢？
06:48
You stand up,
156
393000
3000
先站起来，
06:51
and you skim the stone.
157
396000
2000
扔出石头。
06:53
It's that simple.
158
398000
2000
挺简单的。
06:55
Just recognizing your body,
159
400000
2000
先要进行人体识别，
06:57
recognizing the body's motions, the tech,
160
402000
2000
这项技术先要识别人体的动作，
06:59
understanding that you've gone
161
404000
2000
知晓你已经
07:01
from sitting down to standing up.
162
406000
3000
从坐姿变为站姿。
07:04
Again, all of this is done
163
409000
2000
再来一回，扔石头
07:06
in the way us humans do things,
164
411000
2000
的方式和我们平时做的一样
07:08
and that's crucially important
165
413000
3000
这一点十分重要
07:11
if we want Milo to appear real.
166
416000
2000
因为我们想让米洛显得更加真实。
07:13
Female Voice: See if you can inspire him to do any better.
167
418000
3000
女性声音：再试试，看能不能教米洛做的更好。
07:21
Try hitting the boat.
168
426000
2000
试试看能不能打到船那
07:25
Milo: Ahhh. So close.
169
430000
2000
米洛：啊，就差一点点。
07:33
PM: That's Dimitri at his most competitive.
170
438000
2000
彼得：迪米特里开始争强好胜了。
07:35
Now beaten an 11-year-old child. Well done.
171
440000
3000
好样的，他击败了这个11岁的男孩子。
07:39
Milo: Okay.
172
444000
2000
米洛：好吧。
07:42
PM: So, Milo's being called back in by his parents,
173
447000
3000
彼得：现在米洛的父母要叫他回家吃饭了，
07:45
giving us time to be alone
174
450000
2000
留给我们的是独处的时间
07:47
and to help him out.
175
452000
2000
还可以帮帮他。
07:49
Basically -- the bit that we missed at the start --
176
454000
2000
其实——开始的时候我们忘说了——
07:51
his parents had asked him to clean up his room.
177
456000
3000
他父母已经让他整理自己的房间。
07:54
And we're going to help him with this now.
178
459000
2000
我们现在去帮帮他。
07:56
But this is going to be an introduction,
179
461000
2000
收拾房子可以当作自我介绍，
07:58
and this is all about the deep psychology that we're trying to use.
180
463000
3000
这些我们都试着在用一些深层次的心理学技术。
08:01
We're trying to introduce you
181
466000
2000
现在我就要向你们介绍
08:03
to what I believe is the most wonderful part,
182
468000
3000
我认为最神奇的部分，
08:06
you being able to talk
183
471000
2000
你可以用自己平日里说话的方式
08:08
in your natural voice to Milo.
184
473000
3000
和米洛进行交谈。
08:11
Now, to do that, we needed a set up,
185
476000
2000
这之前我们需要准备一下，
08:13
like a magician's trick.
186
478000
2000
像魔法一样。
08:15
And what we did was,
187
480000
2000
并且之前
08:17
we needed to give Milo this big problem.
188
482000
2000
我们给米洛准备了个大麻烦。
08:19
So as Dimitri
189
484000
3000
所以当迪米特里
08:22
starts tidying up,
190
487000
2000
收拾东西的时候，
08:24
you can overhear a conversation
191
489000
2000
你能隐约听见一些声音
08:26
that Milo's having with his parents.
192
491000
2000
是米洛和他妈妈。
08:28
Milo's Mom: Oh, you've got gravy all over the floor. (Milo: I didn't mean to!)
193
493000
2000
米洛妈妈：噢～你把肉汁弄得地板上哪儿都是。（米洛：我不是故意的！）
08:30
Milo's Mom: That carpet is brand new.
194
495000
2000
米洛妈妈：地毯是新的啊。
08:32
PM: So he's just spilled
195
497000
2000
彼得：他刚刚把
08:34
a plate of sausages on the floor,
196
499000
2000
一盘香肠倒在了地板上，
08:36
on the brand-new carpet.
197
501000
2000
在新买的地毯上。
08:38
We've all done it as parents; we've all done it as children.
198
503000
3000
身为父母的我们都这样训斥过，而小时候我们也都犯过这样的错。
08:41
Now's a chance for Dimitri
199
506000
2000
现在迪米特里
08:43
to kind of reassure and calm Milo down.
200
508000
2000
要趁机安慰米洛并让他冷静下来。
08:45
It's all been too much for him.
201
510000
2000
这一切对他来说太沉重了。
08:47
He's just moved house. He's got no friends.
202
512000
3000
他刚搬了家，又没朋友，
08:50
Now is the time
203
515000
2000
当我们打开房门
08:52
when we open that portal
204
517000
2000
就是时候
08:54
and allow you to talk to Milo.
205
519000
2000
让你和米洛聊聊了。
08:57
Female Voice: Why don't you try saying something encouraging
206
522000
3000
女性声音：说点什么鼓励米洛
09:00
to cheer Milo up.
207
525000
2000
让他振作一点吧。
09:02
Dimitri: Come on, Milo. You know what parents are like.
208
527000
2000
迪米特里：算啦，米洛。父母都是这样，你懂的。
09:04
They're always getting stressed.
209
529000
3000
他们总是生气。
09:08
Milo: What do they want to come here for anyway?
210
533000
3000
米洛：他们搬来这里想要干什么？
09:12
We don't know anyone.
211
537000
3000
我们谁都不认识。
09:15
Dimitri: Well, you've got a new school to go to.
212
540000
2000
迪米特里：嗯，你可以去新学校啊。
09:17
You're going to meet loads of cool, new friends.
213
542000
3000
你会遇到一些很酷的新朋友。
09:22
Milo: I just really miss my old house, that's all.
214
547000
3000
米洛：可我就是想原来的家。
09:28
Dimitri: Well, this is a pretty awesome house, Milo.
215
553000
2000
迪米特里：嗯，这个房子也不错啊，米洛。
09:30
You've got a cool garden to play in and a pond.
216
555000
3000
现在有一个很棒的花园，还有池塘。
09:37
Milo: It was good skimming stones.
217
562000
2000
米洛：打水漂儿确实不错。
09:47
This looks nice.
218
572000
2000
房间干净了。
09:50
You cleaned up my room.
219
575000
2000
你打扫了我的房间。
09:52
Thanks.
220
577000
2000
谢谢。
09:54
PM: So after three-quarters of an hour,
221
579000
2000
彼得：45分钟之后，
09:56
he recognizes you.
222
581000
2000
米洛就认识你了。
09:58
And I promise you, if you're sitting in front of this screen,
223
583000
3000
我保证，如果你一直坐在屏幕前面，
10:01
that is a truly wonderful moment.
224
586000
3000
那这真的是非常美妙的时刻。
10:04
And we're ready now
225
589000
2000
现在我们准备好
10:06
to tell a story about his childhood and his life,
226
591000
2000
要讲述米洛童年和生活的故事了，
10:08
and it goes on,
227
593000
2000
而且还会继续下去，
10:10
and he has, you know, many adventures.
228
595000
2000
你懂的，他有过很多冒险经历。
10:12
Some of those adventures are a little bit dark or on the darker side.
229
597000
3000
有一些是去做一点点坏事。
10:15
Some of those adventures are wonderfully encouraging --
230
600000
2000
有一些则很鼓舞人心。
10:17
he's got to go to school.
231
602000
2000
比如他去上学。
10:19
The cool thing is
232
604000
2000
最酷的是
10:21
that we're doing as well:
233
606000
2000
当你和他互动的时候，
10:23
as you interact with him,
234
608000
2000
我们也会参与其中，
10:25
you're able to put things into his world; he recognizes objects.
235
610000
3000
你可以放一些东西进入他的世界，并且他能认得那些东西。
10:28
His mind is based in a cloud.
236
613000
3000
他的想法还是朦胧的。
10:31
That means Milo's mind,
237
616000
2000
这意味着，
10:33
as millions of people use it,
238
618000
2000
只要有许多人玩这个游戏，
10:35
will get smarter and cleverer.
239
620000
2000
米洛就会越来越聪明。
10:37
He'll recognize more objects
240
622000
2000
他会认识更多的东西，
10:39
and thus understand more words.
241
624000
2000
学到更多的文字。
10:41
But for me,
242
626000
2000
但对于我来说，
10:43
this is a wonderful opportunity
243
628000
2000
这是一个很好的机会
10:45
where technology, at last, can be connected with,
244
630000
3000
让我们最终把科技和人类连在一起，
10:48
where I am no longer restrained
245
633000
2000
我不再被手掌上的
10:50
by the finger I hold in my hand --
246
635000
2000
手指束缚——
10:52
as far as a computer game's concerned --
247
637000
2000
目前许多电脑游戏都是这样——
10:54
or by the blandness of not being noticed
248
639000
2000
看电影或者看书的时候
10:56
if you're watching a film or a book.
249
641000
3000
也不会因为没人觉察而感到无聊。
10:59
And I love those revolutions,
250
644000
3000
我爱这些改变，
11:02
and I love the future that Milo brings.
251
647000
2000
我爱米洛带来的未来。
11:04
Thank you very much indeed.
252
649000
2000
十分感谢。
11:06
(Applause)
253
651000
3000
（掌声）
ABOUT THE SPEAKER
Peter Molyneux - Game changerThe head of Microsoft's European games division, Peter Molyneux is building an astonishing new "virtual friend" who interacts with you.
Why you should listen
Game geeks have been buzzing about Project Natal for, seemingly, ever -- Microsoft's now-in-development gaming device that goes the Wii one better by allowing your whole body to become the joystick, using touchless, visual-recognition interface technology. What kind of game will be played on this immersive new equipment? Peter Molyneux is working on one that redefines the whole notion of "game" -- Milo.
Milo is a little boy (there's also to be a little girl, Kate) who quite simply acts like a little boy, learning your name, talking with you, going on walks around the lake. It's an immersive, slightly uncanny experience, as seen in the single year-old demo that's still blowing minds on YouTube. Molyneux himself is a game-industry legend who has created many titles. In 1997 he founded Lionhead Studios, makers of Fable, a role-playing game. Microsoft bought Lionhead in 2006, and will release the much-anticipated Fable III in the fall.
Peter Molyneux | Speaker | TED.com