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We live in a world made of a kaleidoscope of colours. | 0:00:02 | 0:00:07 | |
They are part of your everyday life and influence everything you do. | 0:00:07 | 0:00:12 | |
From what you wear | 0:00:15 | 0:00:17 | |
to what you eat, to how you live. | 0:00:17 | 0:00:21 | |
They delight us. | 0:00:21 | 0:00:24 | |
They guide us. | 0:00:24 | 0:00:26 | |
But are these colours quite what they seem? | 0:00:26 | 0:00:30 | |
Probably most people, when they open their eyes, | 0:00:30 | 0:00:33 | |
very naturally, think they're seeing the world as it really is. | 0:00:33 | 0:00:37 | |
Is the sky really blue? | 0:00:37 | 0:00:39 | |
Are the leaves actually green? | 0:00:41 | 0:00:43 | |
Is this definitely red? | 0:00:44 | 0:00:47 | |
That's what people think they are seeing | 0:00:47 | 0:00:49 | |
and it's useful to think that. But, in fact, none of that exists. | 0:00:49 | 0:00:54 | |
It's an unsettling idea that colours may not really exist. | 0:00:54 | 0:00:59 | |
And that's led researchers to ask a disarmingly simple question. | 0:01:01 | 0:01:06 | |
Do you see red in the same way that I do? | 0:01:10 | 0:01:13 | |
Is your green the same as mine? | 0:01:13 | 0:01:16 | |
Do people across the world even see the same colours? | 0:01:16 | 0:01:20 | |
Do we all see colour in the same way? Broadly speaking, that's true. | 0:01:20 | 0:01:24 | |
Absolutely not. No-one sees the same colours. | 0:01:24 | 0:01:27 | |
Now researchers may have a surprising answer to this age-old question. | 0:01:28 | 0:01:32 | |
When it comes to colour, do you really see what I see? | 0:01:34 | 0:01:38 | |
Dr Beau Lotto is fascinated by illusions. | 0:01:46 | 0:01:50 | |
He believes they hold clues to how our senses work. | 0:01:51 | 0:01:55 | |
To how we build the pictures of the world around us. | 0:01:56 | 0:01:58 | |
But the illusion he's most interested in is one of nature's greatest tricks - colour. | 0:02:02 | 0:02:07 | |
Colour is effectively an illusion, right? | 0:02:09 | 0:02:12 | |
It's an illusion that helps us to see the world | 0:02:12 | 0:02:14 | |
in a way that's useful to see. | 0:02:14 | 0:02:16 | |
To try and explain how it works, he's designed an array | 0:02:18 | 0:02:21 | |
of experiments, which will help explain how we each see colours, | 0:02:21 | 0:02:26 | |
and if we even see the same ones. | 0:02:26 | 0:02:29 | |
Do old people see colour in the same way as young people? | 0:02:29 | 0:02:33 | |
Do men and women, or people from different cultures see colour in the same way? | 0:02:33 | 0:02:37 | |
He's invited 150 members of the public, of different ages, gender | 0:02:39 | 0:02:43 | |
and nationality, to take part in his world-first experiment. | 0:02:43 | 0:02:47 | |
So my name is Beau and this is Rich here. | 0:02:50 | 0:02:53 | |
We work together, and today we're going to study the perception | 0:02:53 | 0:02:57 | |
of your colour vision, all right? | 0:02:57 | 0:02:59 | |
So, you're actually going to be subjects in real experiments, | 0:02:59 | 0:03:03 | |
so all the stuff we're doing today, we've never done before, literally. | 0:03:03 | 0:03:06 | |
We have no idea what's going to happen. | 0:03:06 | 0:03:08 | |
Over the course of the next few weeks, he'll put visitors to London's Science Museum | 0:03:14 | 0:03:19 | |
through experiments which will test if colours can change your perception of time, | 0:03:19 | 0:03:24 | |
which will look at how we feel about different colours, | 0:03:24 | 0:03:29 | |
and ultimately whether any of us see the same colours at all. | 0:03:29 | 0:03:33 | |
If we understand how the brain sees colour, we can understand how it does nearly everything else. | 0:03:34 | 0:03:39 | |
And the search to understand why colour is an illusion, and how it works, | 0:03:41 | 0:03:46 | |
begins with the colour red. | 0:03:46 | 0:03:48 | |
Red is deeply rooted in the human psyche. | 0:03:51 | 0:03:54 | |
It conjures up conflicting emotions, from passionate love | 0:03:54 | 0:03:59 | |
to danger and even violence. | 0:03:59 | 0:04:01 | |
But six years ago, a group of scientists | 0:04:03 | 0:04:05 | |
wanted to investigate what effect wearing red might have on us. | 0:04:05 | 0:04:10 | |
We started speculating about the role that it might play in humans, | 0:04:10 | 0:04:13 | |
and whether the clothes that we wear | 0:04:13 | 0:04:15 | |
could in some way manipulate our dominance in competitive situations. | 0:04:15 | 0:04:19 | |
Russell wanted to find solid evidence about what effect red | 0:04:21 | 0:04:26 | |
might be having, and it came from an unlikely source. | 0:04:26 | 0:04:30 | |
From the Olympic sport tae kwon do. | 0:04:30 | 0:04:34 | |
The Olympics offered a perfect situation for this. | 0:04:34 | 0:04:37 | |
In the Olympics, in combat sports such as boxing and tae kwon do, | 0:04:37 | 0:04:41 | |
and in the two forms of wrestling, individuals are randomly assigned | 0:04:41 | 0:04:45 | |
either red or blue to wear depending on their position in the draw. | 0:04:45 | 0:04:49 | |
And of course, if red has no effect, or colour has no effect | 0:04:49 | 0:04:53 | |
on the outcome of sporting contests, | 0:04:53 | 0:04:55 | |
then we'd expect to find an equal number of red and blue winners. | 0:04:55 | 0:04:59 | |
When he studied the results of the bouts, he found that red and blue didn't win equally. | 0:04:59 | 0:05:05 | |
We found, looking at the 2004 Olympics, | 0:05:08 | 0:05:12 | |
there were many more red winners than blue. | 0:05:12 | 0:05:14 | |
In these close contests, red individuals won nearly two thirds | 0:05:14 | 0:05:19 | |
of the bouts that we were looking at in that particular study. | 0:05:19 | 0:05:23 | |
So wearing red seemed to help people win in a competitive situation. | 0:05:23 | 0:05:29 | |
But this on its own wasn't enough to convince him, so he dug more deeply. | 0:05:29 | 0:05:34 | |
He came across an experiment by another group of scientists. | 0:05:39 | 0:05:43 | |
It too was looking at whether colour affected the outcome of a tae kwon do match. | 0:05:43 | 0:05:48 | |
They took the video of the tae kwon do and, in the original video, | 0:05:49 | 0:05:52 | |
you had a fighter in blue and another in red. They manipulated that so the original red fighter | 0:05:52 | 0:05:58 | |
was fighting in blue and the original blue fighter was fighting in red. | 0:05:58 | 0:06:02 | |
And when they showed this footage to tae kwon do referees, | 0:06:02 | 0:06:05 | |
in the original untouched footage, | 0:06:05 | 0:06:08 | |
the red fighter was perceived to have scored more points. | 0:06:08 | 0:06:11 | |
But in the manipulated film, | 0:06:11 | 0:06:12 | |
it was again the red fighter who was judged to have more points, | 0:06:12 | 0:06:15 | |
even though in the original footage they had been fighting in blue. | 0:06:15 | 0:06:19 | |
Again the judges tended to favour the player in red, | 0:06:21 | 0:06:24 | |
whether or not they deserved it. | 0:06:24 | 0:06:27 | |
So the colour the athletes were wearing was enough to override | 0:06:27 | 0:06:30 | |
the fundamental ability of the judges to give points. | 0:06:30 | 0:06:34 | |
Clearly, the colour signal there is manipulating the way | 0:06:35 | 0:06:39 | |
in which these contestants are being perceived by the referees. | 0:06:39 | 0:06:43 | |
Russell published a scientific paper with his findings. | 0:06:45 | 0:06:48 | |
Here was the first evidence that the colour you wear is more than just a fashion choice. | 0:06:52 | 0:06:57 | |
If you wear red, it could make you a winner. | 0:06:57 | 0:07:01 | |
But that raises a more fundamental question. | 0:07:03 | 0:07:06 | |
If red has an impact on sporting encounters, | 0:07:09 | 0:07:11 | |
a key question is to work out whether it's actually having an effect | 0:07:11 | 0:07:15 | |
on the wearer of the red or it's something perceived by the opponent. | 0:07:15 | 0:07:18 | |
The question was WHY wearing red might make you a winner. | 0:07:18 | 0:07:22 | |
To try and answer this question, he's assembled a group of footballers. | 0:07:25 | 0:07:30 | |
He's chosen football because there's a long-held belief, | 0:07:31 | 0:07:35 | |
among fans anyway, that wearing red helps teams to victory. | 0:07:35 | 0:07:39 | |
A lot of the top football teams that that have played over the last 30 or 40 years in England have worn red - | 0:07:41 | 0:07:46 | |
Liverpool, Manchester United, Arsenal - and so there was a suggestion that there might be something there. | 0:07:46 | 0:07:53 | |
His experiment is going to be a lot more scientific. | 0:07:53 | 0:07:57 | |
It starts with a red, blue and white penalty shoot-out. | 0:07:57 | 0:08:02 | |
This sort of experiment hadn't been tested in this way before. | 0:08:03 | 0:08:07 | |
We know from looking at actual sporting data that wearing red does seem to influence | 0:08:07 | 0:08:14 | |
the outcomes of sporting events, but what we don't really know | 0:08:14 | 0:08:17 | |
is the mechanisms by how that comes about. | 0:08:17 | 0:08:19 | |
What they'll be looking at is the effect of red on the physiology of the players. | 0:08:21 | 0:08:26 | |
He's teamed up with someone who was initially sceptical about his research, Dr Iain Greenlees. | 0:08:26 | 0:08:33 | |
I was really keen to do my own work, | 0:08:33 | 0:08:35 | |
to look at it within a more experimental context, to test | 0:08:35 | 0:08:40 | |
Russell's archival data within an experimental setting. | 0:08:40 | 0:08:44 | |
So, together they've devised today's experiment. | 0:08:44 | 0:08:49 | |
They've assembled 32 penalty-takers and 14 goalkeepers. | 0:08:49 | 0:08:54 | |
OK, lads, thanks for coming down. | 0:08:54 | 0:08:56 | |
Hopefully this will be an interesting and fun afternoon, | 0:08:56 | 0:09:00 | |
lots of penalties scored, lots of penalties saved. | 0:09:00 | 0:09:03 | |
Today, you'll be taking part in... | 0:09:03 | 0:09:05 | |
For the experiment to work, the players cannot know | 0:09:05 | 0:09:08 | |
that it's the colour red which is being scrutinised. | 0:09:08 | 0:09:11 | |
..In each of those, you'll face five penalties from three | 0:09:11 | 0:09:15 | |
or four different players. | 0:09:15 | 0:09:17 | |
Before they start, saliva samples need collecting, | 0:09:20 | 0:09:24 | |
heart rate monitors put on, and correct colour kit allocated. | 0:09:24 | 0:09:28 | |
What they're hoping to find out is whether wearing red | 0:09:31 | 0:09:35 | |
makes you feel stronger, | 0:09:35 | 0:09:37 | |
or if seeing red makes you feel threatened. | 0:09:37 | 0:09:41 | |
They're not expecting to see an obvious difference | 0:09:43 | 0:09:46 | |
in number of penalties scored. | 0:09:46 | 0:09:49 | |
They will be measuring two hormones in the footballers - | 0:09:49 | 0:09:52 | |
testosterone and cortisol. | 0:09:52 | 0:09:54 | |
If either of these changes in the men, | 0:09:54 | 0:09:57 | |
it could explain why wearing red makes you a winner. | 0:09:57 | 0:10:00 | |
Testosterone is a hormone that's related to dominance and status. | 0:10:00 | 0:10:05 | |
We'd be arguing that those wearing red might see elevated levels of testosterone. | 0:10:05 | 0:10:13 | |
If we go on the assumption that cortisol is a measure of stress, | 0:10:13 | 0:10:17 | |
then what we might find is that penalty-takers | 0:10:17 | 0:10:22 | |
wearing red would have lower levels of cortisol than penalty-takers | 0:10:22 | 0:10:25 | |
wearing blue and white. | 0:10:25 | 0:10:28 | |
We're hopeful. We expect the effects to be there but they are subtle. | 0:10:37 | 0:10:41 | |
Simply wearing red doesn't mean you'll be a winner. | 0:10:41 | 0:10:44 | |
There's no point me putting on red and hoping to play professional football, | 0:10:44 | 0:10:48 | |
so we're hopeful but you never know in these experiments. | 0:10:48 | 0:10:51 | |
Russell is about to reveal the true nature of the experiment | 0:10:52 | 0:10:55 | |
to the unsuspecting footballers. | 0:10:55 | 0:10:57 | |
It's been fantastic to have your involvement. | 0:10:57 | 0:11:00 | |
As with many psychology experiments, we didn't give you the full story | 0:11:00 | 0:11:05 | |
of what we were interested in looking at at the outset. | 0:11:05 | 0:11:08 | |
The players are a bit surprised that colour might be having an effect on their performance. | 0:11:08 | 0:11:14 | |
Being a Chelsea supporter, and they play in blue, | 0:11:14 | 0:11:17 | |
I don't know how I feel about that. | 0:11:17 | 0:11:19 | |
I paid no attention to what colour I had on. I don't like red. I support Tottenham. | 0:11:19 | 0:11:24 | |
I play in dark blue and we win all the time so... | 0:11:24 | 0:11:27 | |
It would be another four weeks before the hormone results came back. | 0:11:31 | 0:11:37 | |
The first results were the testosterone analyses. | 0:11:37 | 0:11:41 | |
If that was rising, it would suggest red was making the wearer more aggressive. | 0:11:41 | 0:11:46 | |
We didn't really detect any evidence that there were differences based | 0:11:46 | 0:11:50 | |
on the colour that the individual penalty-takers were wearing. | 0:11:50 | 0:11:54 | |
Then they analysed the cortisol. | 0:11:56 | 0:11:59 | |
The more modest its increase, the more confident the players were feeling. | 0:11:59 | 0:12:03 | |
We found that there were subtle differences in what the colour | 0:12:05 | 0:12:08 | |
was having on these cortisol responses. | 0:12:08 | 0:12:11 | |
Even though all competitors seemed to show an increase in cortisol levels in advance of the penalties, | 0:12:13 | 0:12:18 | |
this seemed to be suppressed by those individuals that put on the red shirts. | 0:12:18 | 0:12:22 | |
If we can substantiate this with further analysis, | 0:12:22 | 0:12:25 | |
it suggests that these individuals, by putting on the red shirt, may be going through an elevation | 0:12:25 | 0:12:30 | |
in confidence, and as a consequence this suppresses their cortisol levels | 0:12:30 | 0:12:34 | |
with cortisone being a marker of stress. | 0:12:34 | 0:12:38 | |
If red is leading to an enhance in confidence, then any individual | 0:12:38 | 0:12:43 | |
wearing red may experience that enhancement. | 0:12:43 | 0:12:45 | |
Russell and Iain's study is just one part of a growing picture of the effect colour can have on all of us. | 0:12:48 | 0:12:55 | |
At the Science Museum, neuroscientist Beau Lotto | 0:13:03 | 0:13:06 | |
has devised his own experiment to test another aspect of how powerful red can be. | 0:13:06 | 0:13:11 | |
Red in our society is an incredibly strong signal | 0:13:12 | 0:13:16 | |
for warning, for making mistakes. | 0:13:16 | 0:13:18 | |
People perform less well with an IQ test if they see red | 0:13:18 | 0:13:21 | |
just before taking the IQ test. It's amazing. | 0:13:21 | 0:13:24 | |
What Beau wants to find out is something which might seem | 0:13:27 | 0:13:29 | |
rather bizarre - whether colours can change our sense of time. | 0:13:29 | 0:13:34 | |
In order to do this, he's set up three colour pods. | 0:13:35 | 0:13:40 | |
One white, one red, | 0:13:40 | 0:13:43 | |
and one blue. | 0:13:43 | 0:13:45 | |
The white pod is used as a control to compare to the red and the blue. | 0:13:47 | 0:13:51 | |
OK, are you ready? | 0:13:51 | 0:13:53 | |
What we're going to do is we want to get a sense of how long you think a minute lasts. | 0:13:53 | 0:13:59 | |
Each of the 150 people taking part today are asked to stand in a pod | 0:14:00 | 0:14:04 | |
bathed in colour and give a sign when they think a minute has passed. | 0:14:04 | 0:14:09 | |
I'm going to turn you around, I want you to face the wall, | 0:14:09 | 0:14:12 | |
and I want you to turn back around as soon as you think | 0:14:12 | 0:14:16 | |
a minute's gone past. | 0:14:16 | 0:14:17 | |
Here we're looking to see, if someone is bathed in red, | 0:14:22 | 0:14:26 | |
it might increase their sense of anxiety | 0:14:26 | 0:14:28 | |
and whenever we're in a sense of anxiety, | 0:14:28 | 0:14:31 | |
we perform less well on pretty much anything. | 0:14:31 | 0:14:33 | |
In contrast to blue, where people get a sense of calmness, | 0:14:33 | 0:14:38 | |
we'll find out if that's true because, if it's true, | 0:14:38 | 0:14:41 | |
people will be better able to judge time. | 0:14:41 | 0:14:44 | |
In fact, they might even think a minute lasts two minutes. Who knows? | 0:14:44 | 0:14:47 | |
150 people, | 0:14:47 | 0:14:50 | |
young and old, | 0:14:50 | 0:14:52 | |
men and women... | 0:14:52 | 0:14:55 | |
All asked to estimate how long a minute took under different lights. | 0:14:58 | 0:15:02 | |
After analysis, the colour-pod experiment showed some interesting results. | 0:15:04 | 0:15:09 | |
So, this result, for me, was a bit of a surprise. | 0:15:09 | 0:15:13 | |
In fact, I had a bet on it and I've lost. | 0:15:13 | 0:15:16 | |
I thought red would do the opposite. | 0:15:16 | 0:15:18 | |
I thought I'd feel in a state of arousal | 0:15:18 | 0:15:20 | |
and time would go very quickly. | 0:15:20 | 0:15:22 | |
In fact, it does it just the opposite. | 0:15:22 | 0:15:24 | |
It turns out that colour can speed up time. | 0:15:25 | 0:15:29 | |
But it's not the colour red that does it. | 0:15:31 | 0:15:34 | |
If they are in a blue pod, a minute lasts 11 seconds shorter | 0:15:34 | 0:15:39 | |
than if they are in a red pod. | 0:15:39 | 0:15:41 | |
11 seconds is a phenomenally long time. | 0:15:41 | 0:15:45 | |
Yet, all they were doing is surrounded by blueness | 0:15:45 | 0:15:49 | |
and their perception of time sped up. | 0:15:49 | 0:15:52 | |
So, colour does significantly affect your perception of the passage of time. | 0:15:52 | 0:15:57 | |
One possibility is that red is altering our state of arousal. | 0:15:58 | 0:16:02 | |
It's making us highly aware of our environment. | 0:16:02 | 0:16:05 | |
So that would be very advantageous in a fight-or-flight response, | 0:16:05 | 0:16:09 | |
where you want to be really noticing that things are happening around you. | 0:16:09 | 0:16:13 | |
In a sense, you want time to slow down. | 0:16:13 | 0:16:15 | |
So, maybe that is one possibility for why, if you embed yourself in red, | 0:16:15 | 0:16:19 | |
time actually slows down in your mind. | 0:16:19 | 0:16:23 | |
For scientists, colour is more than just an expression of personal taste. | 0:16:25 | 0:16:30 | |
Red could be having an impact on your hormones, | 0:16:30 | 0:16:32 | |
making you more confident, | 0:16:32 | 0:16:34 | |
and blue seems to be able to speed up time. | 0:16:34 | 0:16:37 | |
The clues about the deeper meaning of colour have emerged from people | 0:16:40 | 0:16:44 | |
who we know don't see colour in the same way as most. | 0:16:44 | 0:16:48 | |
Meghan Sims is a photographer and artist from Ontario. | 0:16:56 | 0:17:01 | |
But she doesn't see colours the way you do. | 0:17:03 | 0:17:06 | |
In fact, she has never seen a colour in her life. | 0:17:08 | 0:17:11 | |
We live in a visual world and, more so, we live in a colour-coded world. | 0:17:19 | 0:17:23 | |
So, for instance, asking directions in a strange city, | 0:17:23 | 0:17:29 | |
people will use landmarks, such as "that red-coloured building". | 0:17:29 | 0:17:37 | |
And then, you know, I'll sort of look confused and say, "Which one?" | 0:17:37 | 0:17:42 | |
What makes Meghan unusual is that she lacks colour receptor cells called "cones" in her eyes. | 0:17:42 | 0:17:49 | |
Cells that react to red, green and blue wavelengths of light. | 0:17:49 | 0:17:54 | |
Favourite time of day is definitely dusk, | 0:17:57 | 0:18:01 | |
when the sun has gone down, there is just a glow of the sun in the sky. | 0:18:01 | 0:18:06 | |
It's just the perfect amount of light. | 0:18:07 | 0:18:09 | |
She does have the separate cells, "rods", that help all of us to see in low light. | 0:18:13 | 0:18:18 | |
When night rolls around, everything just comes alive | 0:18:20 | 0:18:25 | |
and, um, I could lead you through the forest, at night. | 0:18:25 | 0:18:29 | |
She sees the world in black and white. | 0:18:32 | 0:18:34 | |
But she has, in a way, learnt to see colours... | 0:18:39 | 0:18:42 | |
..by matching them to shades of grey. | 0:18:45 | 0:18:48 | |
I learnt about colours by comparison and memorisation. | 0:18:52 | 0:18:58 | |
So, I will learn a certain shade of grey. | 0:18:58 | 0:19:04 | |
Of a Granny Smith apple. | 0:19:06 | 0:19:08 | |
And, from that point on, that will be, to the best of my ability, | 0:19:08 | 0:19:15 | |
that green, that apple green. | 0:19:15 | 0:19:18 | |
Even though she can't see colour, it's an important part of her life. | 0:19:19 | 0:19:23 | |
Putting on clothes in the morning, putting on make-up, | 0:19:26 | 0:19:30 | |
erm, colouring my hair, you know, everyday things. | 0:19:30 | 0:19:34 | |
Painting my house. | 0:19:34 | 0:19:36 | |
You know, there's a billion different shades of green | 0:19:38 | 0:19:42 | |
and I tend to like the ones that are really bright | 0:19:42 | 0:19:45 | |
and make people want to be sick! | 0:19:45 | 0:19:48 | |
As a clue to the fundamental power of colour, | 0:19:49 | 0:19:52 | |
she experiences colours as linked to deep emotions. | 0:19:52 | 0:19:56 | |
Red I will attribute things like danger. | 0:19:59 | 0:20:04 | |
Blue brings out a sadness, or expresses a sadness, | 0:20:04 | 0:20:11 | |
erm, or loneliness. | 0:20:11 | 0:20:13 | |
Yellow... | 0:20:13 | 0:20:15 | |
..I'm not sure about. | 0:20:17 | 0:20:18 | |
I don't really understand yellow. | 0:20:18 | 0:20:21 | |
It seems all of us, whether we can see colour or not, | 0:20:22 | 0:20:26 | |
have a natural ability to link colour with emotion. | 0:20:26 | 0:20:29 | |
Colour is deeply embedded with how we make sense of the world. | 0:20:30 | 0:20:33 | |
It is the surprising power of the colour blue in our lives that is starting to be uncovered. | 0:20:42 | 0:20:46 | |
It's an investigation that has brought a leading neuroscientist | 0:20:49 | 0:20:52 | |
to a different sort of lab. | 0:20:52 | 0:20:55 | |
A rather well turned-out restaurant in London. | 0:20:55 | 0:20:58 | |
I think, increasingly, with so many hours of science, | 0:20:58 | 0:21:01 | |
information has been siloed. | 0:21:01 | 0:21:02 | |
What's happening, increasingly, | 0:21:02 | 0:21:04 | |
is different groups are talking to each other. | 0:21:04 | 0:21:06 | |
Neuroscientists are interacting with lighting designers, or architects. | 0:21:06 | 0:21:11 | |
Reds and browns are often used by restaurant designers | 0:21:13 | 0:21:15 | |
because they are colours that are believed to make you hungry. | 0:21:15 | 0:21:19 | |
The lighting is often set up | 0:21:23 | 0:21:24 | |
to give a warm and relaxing atmosphere to your eating experience. | 0:21:24 | 0:21:28 | |
But one lighting designer decided to try a new concept. | 0:21:32 | 0:21:35 | |
Instead of reds and browns, he chose blue. | 0:21:35 | 0:21:38 | |
Why would you put blue light into a space to make it feel warm? | 0:21:41 | 0:21:45 | |
It was a difficult concept to get across. | 0:21:45 | 0:21:47 | |
It's counter-intuitive. | 0:21:47 | 0:21:49 | |
You know, "We want to make your restaurant feel warm, | 0:21:49 | 0:21:52 | |
"so we want to put blue light in it." | 0:21:52 | 0:21:54 | |
It's very difficult to understand, | 0:21:54 | 0:21:57 | |
but it does come right back to the pure science of how we see. | 0:21:57 | 0:22:01 | |
It makes everything seem warmer, so your skin tones are warmer. | 0:22:03 | 0:22:08 | |
The phrase I used to the client was that it is about | 0:22:08 | 0:22:11 | |
making the beautiful people look more beautiful. | 0:22:11 | 0:22:14 | |
But what Mark hadn't predicted was an unexpected effect the blue light had on diners. | 0:22:15 | 0:22:20 | |
It seemed that night after night, at around ten o'clock, | 0:22:23 | 0:22:26 | |
their behaviour started to change. | 0:22:26 | 0:22:29 | |
Just at a time when you think people would start winding down, | 0:22:31 | 0:22:34 | |
people started to perk up. | 0:22:34 | 0:22:36 | |
There was a vibrancy to it, there was a texture to it | 0:22:36 | 0:22:40 | |
and we didn't understand why that was. | 0:22:40 | 0:22:42 | |
In trying to make the beautiful people look more beautiful, we also created | 0:22:44 | 0:22:49 | |
this second effect of creating a vibrant, enhancing space | 0:22:49 | 0:22:54 | |
that got better and better through the evening | 0:22:54 | 0:22:57 | |
as this blue light component that we had in the presentation increased. | 0:22:57 | 0:23:01 | |
To find out what was causing this behaviour, Mark turned to a scientist. | 0:23:03 | 0:23:08 | |
Professor Russell Foster studies how the changing cycle of night and day | 0:23:10 | 0:23:14 | |
creates a natural body clock within us. | 0:23:14 | 0:23:16 | |
He wanted to discover exactly how these circadian rhythms are created in our bodies. | 0:23:18 | 0:23:23 | |
We were fascinated, a few years ago, | 0:23:24 | 0:23:26 | |
in trying to understand the mechanisms | 0:23:26 | 0:23:28 | |
whereby the light-dark cycle | 0:23:28 | 0:23:30 | |
is detected by the eye and regulates internal time. | 0:23:30 | 0:23:33 | |
Scientists have long understood that the body clock exists, | 0:23:33 | 0:23:37 | |
but how exactly light regulates it has been a mystery. | 0:23:37 | 0:23:41 | |
We asked what we thought was a fairly naive question. | 0:23:41 | 0:23:45 | |
How does the eye grab light to regulate internal time? | 0:23:45 | 0:23:48 | |
He knew that clues lay somewhere in the biology of the human eye. | 0:23:48 | 0:23:53 | |
But he could find no links between the rod and cone cells | 0:23:53 | 0:23:56 | |
to the body clock. | 0:23:56 | 0:23:57 | |
The rods and cones are fantastic for grabbing an instant image | 0:23:57 | 0:24:01 | |
of the world, | 0:24:01 | 0:24:02 | |
but they're not so good at getting an overall appreciation of the amount of light in the environment, | 0:24:02 | 0:24:07 | |
hence time of day and hence for setting the clock. | 0:24:07 | 0:24:10 | |
We couldn't understand how the rods and cones could do this. | 0:24:10 | 0:24:14 | |
We wondered if we may have missed something. | 0:24:14 | 0:24:17 | |
Maybe there's something else in the eye regulating this part of our fundamental biology. | 0:24:17 | 0:24:21 | |
His team made a breakthrough. | 0:24:24 | 0:24:26 | |
They discovered a completely new cell in the human eye. | 0:24:29 | 0:24:32 | |
It's a cell called a photosensitive ganglion. | 0:24:35 | 0:24:38 | |
It plays no part in seeing the world, | 0:24:40 | 0:24:42 | |
but this elusive cell does seem to play a vital role in regulating the body clock. | 0:24:42 | 0:24:47 | |
This is more than a receptor regulating the clock. | 0:24:48 | 0:24:51 | |
These photo-receptors are plugged into a variety of structures in the brain. | 0:24:51 | 0:24:56 | |
The sleep structures, the arousal structures, | 0:24:56 | 0:24:58 | |
so what these photosensitive cells do is regulate broad areas of physiology. | 0:24:58 | 0:25:03 | |
Not only our body clock, but our levels of arousal, our levels of alertness and awake, | 0:25:03 | 0:25:08 | |
and, indeed, our propensity to go to sleep or wake up. | 0:25:08 | 0:25:12 | |
Crucially, this cell that sends a signal to your brain to wake you up | 0:25:15 | 0:25:19 | |
was sensitive to only one wavelength of light - blue. | 0:25:19 | 0:25:23 | |
This is why the people having dinner were waking up at ten o'clock. | 0:25:28 | 0:25:31 | |
For Russell, this new scientific understanding is set to change how we use colours. | 0:25:35 | 0:25:40 | |
-Hello, good to see you. -Nice to see you again. | 0:25:42 | 0:25:44 | |
Together, they are using this new understanding of colour | 0:25:45 | 0:25:49 | |
to design lighting for where we work and where we live. | 0:25:49 | 0:25:53 | |
-OK, so what do you think? -Well, it's blue. -It's blue. | 0:25:53 | 0:25:57 | |
Scientists are now starting to understand that colours do more than show us how the world is. | 0:25:59 | 0:26:04 | |
They powerfully shape how we feel as well. | 0:26:04 | 0:26:07 | |
But to really understand the fundamental power colour has over our lives, | 0:26:09 | 0:26:12 | |
you have to look to clues from the very beginning. | 0:26:12 | 0:26:16 | |
To how and why we learnt to see colour in the first place. | 0:26:16 | 0:26:21 | |
I think you deserve a toast. Cheers! | 0:26:21 | 0:26:25 | |
In Washington state, Professor Jay Neitz has been trying to answer | 0:26:32 | 0:26:37 | |
the big questions about colour for the last 30 years. | 0:26:37 | 0:26:40 | |
There are so many different emotional reactions that people have to colour | 0:26:40 | 0:26:44 | |
and I would really like to understand why. | 0:26:44 | 0:26:49 | |
Probably my favourite scene in any movie is the scene in the Wizard Of Oz, | 0:26:51 | 0:26:56 | |
where the whole film is black and white | 0:26:56 | 0:26:58 | |
and then there is that scene | 0:26:58 | 0:27:00 | |
when suddenly it goes to Technicolor. | 0:27:00 | 0:27:02 | |
And just the impact it has on the audience is fascinating to me. | 0:27:02 | 0:27:08 | |
He believes the clues to the power colour exerts in our lives today, | 0:27:11 | 0:27:14 | |
lie deep in our evolutionary past... | 0:27:14 | 0:27:17 | |
..beginning at a time when our earliest ancestors were a humble, single-celled organism, | 0:27:19 | 0:27:24 | |
living in the murky depths of the oceans. | 0:27:24 | 0:27:26 | |
When the Earth was covered with water and all organisms had just one cell, | 0:27:28 | 0:27:33 | |
the only thing to see was the sky overhead. | 0:27:33 | 0:27:36 | |
Life on Earth is dependent on energy from the sun. | 0:27:38 | 0:27:41 | |
But these one-celled organisms had a problem, | 0:27:43 | 0:27:46 | |
and that is that they had to be able to harvest the energy | 0:27:46 | 0:27:50 | |
from the longer wavelengths - | 0:27:50 | 0:27:52 | |
the oranges, the yellows and the reds - | 0:27:52 | 0:27:54 | |
but they had to be able to avoid the damaging, lethal, ultraviolet rays. | 0:27:54 | 0:28:00 | |
It is the earliest signs of why colour mattered. | 0:28:00 | 0:28:04 | |
These single cells moved up and down in the oceans to avoid certain wavelengths of damaging light. | 0:28:04 | 0:28:09 | |
In the middle of the day, they used to send it away from the surface of the water, | 0:28:11 | 0:28:16 | |
down low enough where the UV was not intense. | 0:28:16 | 0:28:21 | |
Then, at dawn and dusk, they would come up to the surface | 0:28:21 | 0:28:26 | |
to capture those longer wavelength lights and that is how they got energy. | 0:28:26 | 0:28:31 | |
Our earliest sensitivities to colour were a simple two-colour system - | 0:28:33 | 0:28:38 | |
blue, yellow. | 0:28:38 | 0:28:39 | |
But as life on Earth evolved and changed, | 0:28:43 | 0:28:45 | |
the way our early ancestors processed colour changed, as well. | 0:28:45 | 0:28:49 | |
It was around 40 million years ago that primates developed | 0:28:52 | 0:28:58 | |
another set of structures in the eye. | 0:28:58 | 0:29:00 | |
These ones sensitive to red and green. | 0:29:00 | 0:29:04 | |
The main advantage of adding an extra dimension of colour vision is | 0:29:04 | 0:29:11 | |
colour is like a language. | 0:29:11 | 0:29:13 | |
It would be like adding to your vocabulary. | 0:29:13 | 0:29:16 | |
Hello. | 0:29:16 | 0:29:18 | |
There is an entire communication throughout the entire biological world | 0:29:18 | 0:29:23 | |
that's dependent on this very elaborate colour-vision system. | 0:29:23 | 0:29:27 | |
It was when it was useful to recognise the colours of fruits for food | 0:29:31 | 0:29:35 | |
and the warning signs of nature, that we gained the red-green colour cones. | 0:29:35 | 0:29:41 | |
One thing we can imagine, then, it was this that gave them | 0:29:41 | 0:29:45 | |
the huge advantage and was responsible for the explosion | 0:29:45 | 0:29:49 | |
of all the different kinds of primates we see now | 0:29:49 | 0:29:52 | |
that have exactly the same beautiful colour vision like humans do. | 0:29:52 | 0:29:56 | |
For us as a species, the way we learnt to see colours has a history. | 0:29:57 | 0:30:01 | |
To blue-yellow colour sensitivity, we added red and green, | 0:30:04 | 0:30:09 | |
expanding our very own language of colour. | 0:30:09 | 0:30:12 | |
It's that history that Jay believes plays out today. | 0:30:19 | 0:30:23 | |
And helps explain why we have such different reactions to colours. | 0:30:29 | 0:30:33 | |
Meet Dalton. | 0:30:35 | 0:30:38 | |
Meet Sam. | 0:30:38 | 0:30:40 | |
They are squirrel monkeys that Jay has been working with for the last four years. | 0:30:42 | 0:30:49 | |
Like all squirrel monkeys, when they arrived at Jay's lab, | 0:30:50 | 0:30:54 | |
they were colour-blind, and couldn't see reds or greens. | 0:30:54 | 0:30:58 | |
The squirrel monkeys have red-green colour-blindness. | 0:30:58 | 0:31:02 | |
So the thing that red-green colour-blindness means | 0:31:02 | 0:31:04 | |
is that these animals that have that, and humans too, | 0:31:04 | 0:31:08 | |
they completely lack the sensations of either red or green. | 0:31:08 | 0:31:12 | |
The big question was, does this change the way that the brain | 0:31:16 | 0:31:20 | |
interprets the signals from the eye, so they would have an experience of colour vision | 0:31:20 | 0:31:25 | |
that would be like what a human would? | 0:31:25 | 0:31:27 | |
His team did something remarkable to these monkeys. | 0:31:27 | 0:31:31 | |
They gave them the missing receptors in their eyes, | 0:31:31 | 0:31:34 | |
and allowed them to see the reds and greens which had been invisible. | 0:31:34 | 0:31:38 | |
He wanted to find out whether having these new cones in their eyes | 0:31:38 | 0:31:42 | |
would allow them to see new colours. | 0:31:42 | 0:31:46 | |
All of a sudden, they were able to pick out those red dots and green dots against the grey background. | 0:31:48 | 0:31:53 | |
Probably a thing that amazed us the most, besides the fact that it worked at all, | 0:31:53 | 0:31:59 | |
is that it seemed they were able to get this new colour sensation | 0:31:59 | 0:32:03 | |
immediately, as soon as the new thing turned on. | 0:32:03 | 0:32:06 | |
So somehow, the brain was able to make some kind of sense out of this immediately. | 0:32:06 | 0:32:12 | |
This was the moment when Jay could study in a lab | 0:32:13 | 0:32:16 | |
something that happened nearly 40 million years ago. | 0:32:16 | 0:32:20 | |
With their new sense of red-green colour vision, Sam and Dalton could, | 0:32:20 | 0:32:24 | |
for the first time, point to the green and red dots on the screen. | 0:32:24 | 0:32:30 | |
And crucially, when it came to feeding time, | 0:32:30 | 0:32:33 | |
they were able to associate colours with different coloured food. | 0:32:33 | 0:32:38 | |
And so over time, they learnt to associate different colours | 0:32:38 | 0:32:41 | |
with different objects, and now they take on lives for themselves, | 0:32:41 | 0:32:44 | |
they say, "Oh, this is a food I like, so I like red." | 0:32:44 | 0:32:48 | |
But this is the key to how colours became connected to emotions. | 0:32:51 | 0:32:54 | |
If the monkeys like red fruit, | 0:32:54 | 0:32:58 | |
then they learnt to associate the colour red more generally with pleasure. | 0:32:58 | 0:33:03 | |
And what that means for our sense of colour is that the earliest colours we learnt - blue and yellow - | 0:33:05 | 0:33:11 | |
have hard-wired emotional connections. | 0:33:11 | 0:33:13 | |
Our associations with red and green, we've had to learn. | 0:33:16 | 0:33:20 | |
So I think that maybe red-green colour vision | 0:33:22 | 0:33:25 | |
is very different than blue-yellow colour vision, that's so deep inside of us. | 0:33:25 | 0:33:30 | |
That those emotions are driven by something that we were born with. | 0:33:30 | 0:33:35 | |
The fact that the blues are kind of calming. | 0:33:35 | 0:33:37 | |
That's why people make such a strong distinction between cool colours and warm colours, | 0:33:37 | 0:33:44 | |
as opposed to red and green, | 0:33:44 | 0:33:46 | |
because those are very deep feelings that we're all born with. | 0:33:46 | 0:33:50 | |
Whereas red-green is a modern thing | 0:33:50 | 0:33:53 | |
that's completely a function of our cerebral cortex, | 0:33:53 | 0:33:56 | |
and it's a learning process, just a little different buzz inside your head, | 0:33:56 | 0:34:01 | |
but it takes a lifetime to be able to associate different colours with their real meaning. | 0:34:01 | 0:34:07 | |
This shows that all colours are not equal. | 0:34:08 | 0:34:12 | |
Blue digs in to our earliest evolutionary responses. | 0:34:12 | 0:34:17 | |
Red and green are colours which we have had to learn. | 0:34:18 | 0:34:22 | |
I think for all of us, the reason that we see red as the same | 0:34:22 | 0:34:26 | |
is because we have shared experiences. | 0:34:26 | 0:34:29 | |
Red is the colour of lipstick, red is the colour of blood, | 0:34:29 | 0:34:32 | |
the colour of stop signs and flashing lights. | 0:34:32 | 0:34:35 | |
And green is the colour of pastures. | 0:34:35 | 0:34:37 | |
Essentially, our earliest experience of these colours | 0:34:39 | 0:34:42 | |
was inextricably linked to pleasure and pain. | 0:34:42 | 0:34:46 | |
To see these colours meant we could function more successfully in the world. | 0:34:52 | 0:34:56 | |
This has stayed with us to the present day. | 0:34:59 | 0:35:01 | |
But this new understanding of why different colours have such powerful effects on our lives | 0:35:03 | 0:35:09 | |
raises another, more fundamental, question. | 0:35:09 | 0:35:12 | |
How do we create colour in the first place? | 0:35:15 | 0:35:19 | |
For Beau Lotto, colour is one of the most powerful illusions that nature plays on us. | 0:35:25 | 0:35:31 | |
While for physicists, colour may be simply wavelengths of light, | 0:35:31 | 0:35:36 | |
for Beau, his long fascination with illusions | 0:35:36 | 0:35:39 | |
has been powerful proof that colour is more than that. | 0:35:39 | 0:35:43 | |
I want to show you how quickly your brain can redefine normality. | 0:35:43 | 0:35:47 | |
See the world in a completely new way, based on its experience, | 0:35:47 | 0:35:51 | |
except in this case, it'll be an experience for one minute, | 0:35:51 | 0:35:55 | |
and you're going to see something completely different as a consequence. | 0:35:55 | 0:35:59 | |
Through this illusion, | 0:36:00 | 0:36:02 | |
Beau wants to show how easily the colours you see can change. | 0:36:02 | 0:36:07 | |
For now, the sky in both pictures is blue, and the sand is yellow. | 0:36:07 | 0:36:11 | |
Now, look up here. | 0:36:13 | 0:36:15 | |
Do you see a green square on your left and a red square on your right? | 0:36:15 | 0:36:19 | |
OK. What I want you to do is to stare at that dot | 0:36:19 | 0:36:24 | |
between the red and the green squares. | 0:36:24 | 0:36:27 | |
The illusion should work | 0:36:27 | 0:36:29 | |
if you carry on staring at the dot between the two top squares. | 0:36:29 | 0:36:33 | |
While you're looking at it, | 0:36:33 | 0:36:34 | |
I'll tell you what's happening inside your head. | 0:36:34 | 0:36:37 | |
Your brain is learning that the left side of its visual field | 0:36:37 | 0:36:41 | |
is under green light. | 0:36:41 | 0:36:44 | |
It's also learning that the right side of its visual field | 0:36:44 | 0:36:47 | |
is under red light. That's becoming its new reality. | 0:36:47 | 0:36:50 | |
For this to work, you must keep your eyes on the dot. | 0:36:50 | 0:36:54 | |
When I tell you, you're going to look at the dot | 0:36:54 | 0:36:56 | |
between the two desert scenes. Don't do it now, when I tell you. | 0:36:56 | 0:37:00 | |
5, 4, 3, 2, 1. | 0:37:00 | 0:37:04 | |
SURPRISED LAUGHTER | 0:37:06 | 0:37:11 | |
That's amazing. | 0:37:13 | 0:37:14 | |
For most people, this is how they see the colours change. | 0:37:16 | 0:37:19 | |
The sky that was blue is now pink on the left | 0:37:19 | 0:37:22 | |
and more green on the right. | 0:37:22 | 0:37:25 | |
In just one minute, the colours have changed. | 0:37:27 | 0:37:32 | |
Colour doesn't exist. Colour is a construct of your brain. | 0:37:36 | 0:37:39 | |
There is nothing literal about colour in the world. | 0:37:39 | 0:37:43 | |
And this understanding of how the signal from your eye becomes an experience of colour in your brain | 0:37:44 | 0:37:49 | |
is one of the most exciting and challenging questions in modern science. | 0:37:49 | 0:37:54 | |
Take a look at this trick of the brain. | 0:38:02 | 0:38:05 | |
It's one that happens every time you walk from an artificially lit room to daylight. | 0:38:05 | 0:38:11 | |
It's so good, you don't even know what's happening. | 0:38:13 | 0:38:17 | |
But the light outside is a range of different wavelengths. | 0:38:17 | 0:38:21 | |
The light may look the same, but it isn't. | 0:38:21 | 0:38:25 | |
This is closer to what it really looks like. | 0:38:25 | 0:38:28 | |
But your brain fixes the picture so the colour stays constant. | 0:38:28 | 0:38:32 | |
It's called colour constancy. | 0:38:38 | 0:38:40 | |
And it's something that has intrigued and baffled scientists for centuries. | 0:38:40 | 0:38:45 | |
Neuroscientist Anya Hurlbert studies colour constancy | 0:38:48 | 0:38:52 | |
because it may offer insight into how the brain processes colour. | 0:38:52 | 0:38:56 | |
Colour constancy is so fundamental to the way we see colours | 0:38:56 | 0:38:59 | |
that we don't think about it in everyday life, we don't know how we do it. | 0:38:59 | 0:39:04 | |
And in order to understand how the human visual system | 0:39:04 | 0:39:07 | |
achieves colour constancy, | 0:39:07 | 0:39:10 | |
we need laboratory measurements of just how good colour constancy is. | 0:39:10 | 0:39:13 | |
To do this, she set up an experiment involving a well-known set of objects. | 0:39:18 | 0:39:23 | |
Fruit. | 0:39:23 | 0:39:24 | |
And she's going to be asking people to try and estimate | 0:39:24 | 0:39:27 | |
the colour of the banana as the light changes. | 0:39:27 | 0:39:31 | |
Your task here is to match the colour of the banana. | 0:39:37 | 0:39:41 | |
I'd like you to make another practice match, this time to the banana. | 0:39:46 | 0:39:50 | |
There are in fact two yellows in the picture. | 0:39:52 | 0:39:54 | |
The banana, and a simple patch of the same yellow in the background. | 0:39:54 | 0:40:00 | |
As the light changes, | 0:40:00 | 0:40:02 | |
how will someone's perception of the colour of the banana and the patch change? | 0:40:02 | 0:40:08 | |
Is the match that a person makes to the yellow banana | 0:40:08 | 0:40:11 | |
different from the match the person makes to a yellow patch? | 0:40:11 | 0:40:15 | |
If the matches are different, that means the object is influencing colour perception. | 0:40:15 | 0:40:20 | |
Experiments show they are different. | 0:40:22 | 0:40:25 | |
People perceive the yellow patch as changing as the light changes. | 0:40:25 | 0:40:30 | |
But the yellow of the banana stays more constant. | 0:40:32 | 0:40:34 | |
And the reason this colour constancy works, Anya believes, | 0:40:37 | 0:40:41 | |
is because we should know what a banana looks like. | 0:40:41 | 0:40:44 | |
One of the factors that might contribute to colour constancy | 0:40:46 | 0:40:49 | |
in the human visual system is object knowledge. | 0:40:49 | 0:40:52 | |
So for example, the fact that we know that bananas are yellow, | 0:40:52 | 0:40:55 | |
and we've seen bananas under many different illuminations, | 0:40:55 | 0:40:59 | |
may enable us to perceive the yellow of a banana as more constant under changing illumination | 0:40:59 | 0:41:05 | |
because we know what colour it should be. | 0:41:05 | 0:41:08 | |
Colour constancy shows once again that your eye doesn't simply SEE colour. | 0:41:09 | 0:41:14 | |
Your brain creates it... | 0:41:17 | 0:41:19 | |
..by drawing on knowledge of what things should look like. | 0:41:23 | 0:41:28 | |
That raises the intriguing possibility | 0:41:32 | 0:41:34 | |
that many different aspects of what make you individual go into making colour. | 0:41:34 | 0:41:39 | |
Not just memories, but other complex operations that happen in your brain. | 0:41:42 | 0:41:46 | |
Even, it now seems, the language you speak. | 0:41:46 | 0:41:51 | |
It may seem a strange idea that language might affect the colours you see. | 0:42:03 | 0:42:09 | |
And some of the clues might lie in understanding | 0:42:09 | 0:42:12 | |
what happens inside your brain as you begin to learn words. | 0:42:12 | 0:42:16 | |
This is a subject that Dr Anna Franklin, | 0:42:17 | 0:42:19 | |
from the Surrey Baby Lab, has been looking at. | 0:42:19 | 0:42:23 | |
Colour vision is not something that you are automatically born with. | 0:42:30 | 0:42:36 | |
So newborns have got really, really limited colour vision. | 0:42:36 | 0:42:40 | |
And their colour vision develops over the first three months of life. | 0:42:40 | 0:42:44 | |
As the colour cells in their eyes develop over these three months, | 0:42:44 | 0:42:49 | |
they begin to see colour. | 0:42:49 | 0:42:50 | |
But what Anna has found is that something as simple as the words you learn | 0:42:52 | 0:42:57 | |
might be having an impact on how your brain processes colour. | 0:42:57 | 0:43:02 | |
Potentially, language could actually structure how the brain is structuring the visual world. | 0:43:02 | 0:43:09 | |
The first clues arose when Anna started looking at what happens to children's brains | 0:43:09 | 0:43:14 | |
when they learn to speak. | 0:43:14 | 0:43:16 | |
It was comparing the brains of children pre- and post-language | 0:43:18 | 0:43:21 | |
that they discovered something rather fascinating. | 0:43:21 | 0:43:25 | |
So, Claudia, thanks very much for bringing Max and Noah to the lab today. | 0:43:25 | 0:43:29 | |
What we're looking at today is how babies and toddlers categorise colour. | 0:43:29 | 0:43:33 | |
In the English-speaking world, we have 11 colour categories. | 0:43:35 | 0:43:42 | |
What Anna is looking for is how the brain processes these categories pre- and post-language. | 0:43:42 | 0:43:47 | |
First in the chair is Max, who has no concept of language. | 0:43:50 | 0:43:53 | |
Colour categories appear to be present in infants, | 0:43:53 | 0:43:56 | |
even before they have learnt the words for colour, so somehow, | 0:43:56 | 0:44:01 | |
infants are also dividing up the spectrum of colour into categories, | 0:44:01 | 0:44:05 | |
even though they don't have language to tell them how to do that. | 0:44:05 | 0:44:10 | |
By tracking Max's eye movement, | 0:44:11 | 0:44:14 | |
Anna is able to tell that it's the right side of the brain | 0:44:14 | 0:44:17 | |
which is processing the colour categories. | 0:44:17 | 0:44:20 | |
What's fascinating is what happens when three-year-old Noah, | 0:44:20 | 0:44:24 | |
who HAS learnt his categories, does the same experiment. | 0:44:24 | 0:44:27 | |
Their category effect is stronger in the right visual field, | 0:44:27 | 0:44:31 | |
and the right visual field initially projects over to the left hemisphere, | 0:44:31 | 0:44:35 | |
which is the hemisphere that's dominant for language. | 0:44:35 | 0:44:37 | |
So inextricably linked is colour to language | 0:44:39 | 0:44:42 | |
that it jumps across your brain as soon as you start acquiring words. | 0:44:42 | 0:44:47 | |
We're really excited about these findings, because it suggests, | 0:44:47 | 0:44:50 | |
potentially, that learning language or learning colour terms | 0:44:50 | 0:44:54 | |
can actually change the way in which your brain | 0:44:54 | 0:44:58 | |
is actually categorising the visual world, | 0:44:58 | 0:45:01 | |
the way in which your brain is deriving structure | 0:45:01 | 0:45:05 | |
from the world which it's seeing. | 0:45:05 | 0:45:09 | |
This suggests the way you process colour | 0:45:11 | 0:45:14 | |
and how you learn language are connected. | 0:45:14 | 0:45:17 | |
But to really understand how language might help shape colour, | 0:45:17 | 0:45:20 | |
scientists began looking at a group of people | 0:45:20 | 0:45:23 | |
with a colour vocabulary as different from most of ours as possible. | 0:45:23 | 0:45:27 | |
Northern Namibia. | 0:45:33 | 0:45:36 | |
A remote and barren landscape. | 0:45:36 | 0:45:39 | |
Home to a remarkable tribe, the Himba. | 0:45:40 | 0:45:44 | |
The Himba women are famous for covering themselves with ochre, | 0:45:48 | 0:45:52 | |
which symbolises the Earth's rich red colour, | 0:45:52 | 0:45:55 | |
and blood, which symbolises life. | 0:45:55 | 0:45:58 | |
But that's not what has brought Serge Caparros here. | 0:46:03 | 0:46:07 | |
He's here because there's something rather special | 0:46:07 | 0:46:11 | |
about how the Himba describe the colours they see. | 0:46:11 | 0:46:14 | |
What is the colour of water? > | 0:46:14 | 0:46:16 | |
HE SPEAKS IN NATIVE LANGUAGE | 0:46:16 | 0:46:18 | |
White. > | 0:46:18 | 0:46:20 | |
OK. And milk? | 0:46:20 | 0:46:22 | |
HE SPEAKS IN NATIVE LANGUAGE | 0:46:22 | 0:46:24 | |
Also white. > | 0:46:24 | 0:46:26 | |
For me, you see, where I come from, we say the water is blue, | 0:46:26 | 0:46:30 | |
and the sky is blue, and you say the sky is black, water is white. | 0:46:30 | 0:46:34 | |
So we have different words to talk about the same thing. | 0:46:34 | 0:46:37 | |
While we have 11 words to describe colour, | 0:46:39 | 0:46:42 | |
the Himba have half the amount. | 0:46:42 | 0:46:44 | |
They include "Zoozu", which is most dark colours, | 0:46:50 | 0:46:53 | |
and includes reds, blues, greens and purples. | 0:46:53 | 0:46:56 | |
"Vapa", which is mainly white, but includes some yellow. | 0:46:59 | 0:47:05 | |
"Borou", which includes some greens and blues. | 0:47:06 | 0:47:09 | |
And "Dumbu", which includes different greens, but also reds and browns. | 0:47:10 | 0:47:15 | |
They clearly describe colour differently, but do they see the same way? | 0:47:20 | 0:47:25 | |
Serge has been running experiments to find out. | 0:47:31 | 0:47:34 | |
OK, now you look at these squares, one of them has a different colour, which one? | 0:47:36 | 0:47:41 | |
He's testing how long it takes them | 0:47:41 | 0:47:43 | |
to spot a colour which is different from the others. | 0:47:43 | 0:47:47 | |
Can you do the same thing again? | 0:47:49 | 0:47:51 | |
This is what they're looking at. | 0:47:51 | 0:47:53 | |
For us, it's quite hard to spot the odd one out. | 0:47:53 | 0:47:57 | |
OK, can you point one more time towards the different colour? | 0:47:57 | 0:48:01 | |
Very good. | 0:48:06 | 0:48:07 | |
But for the Himba, it's easy to see the green which is different. | 0:48:09 | 0:48:13 | |
So you see, in this particular trial, | 0:48:18 | 0:48:21 | |
this green patch looks very much like the other ones, | 0:48:21 | 0:48:24 | |
at least to me, and I think to most other Westerners. | 0:48:24 | 0:48:28 | |
Whereas for the Himba, this is a different colour, | 0:48:28 | 0:48:31 | |
they have a different word for this type of green | 0:48:31 | 0:48:35 | |
compared to the other types of green, | 0:48:35 | 0:48:37 | |
and that allows them to more easily distinguish between these two colours | 0:48:37 | 0:48:42 | |
when they're next to each other, whereas for us it's very hard. | 0:48:42 | 0:48:45 | |
When Westerners do this exact same trial, they will spend much longer | 0:48:45 | 0:48:49 | |
and be much more likely to make a mistake than the Himba. | 0:48:49 | 0:48:53 | |
The next experiment is trickier for the Himba. | 0:48:55 | 0:48:57 | |
In this one, they're shown a circle of green squares, | 0:48:57 | 0:49:01 | |
which includes one blue square. | 0:49:01 | 0:49:04 | |
So again, 12 colours, | 0:49:04 | 0:49:06 | |
and you point towards the one that is different from the other 11 colours. | 0:49:06 | 0:49:10 | |
For us, we have separate words for green and blue. | 0:49:12 | 0:49:16 | |
But as the Himba have the same word for both, | 0:49:16 | 0:49:18 | |
it takes them longer to spot the blue. | 0:49:18 | 0:49:22 | |
It's not there. She can't see it. | 0:49:27 | 0:49:29 | |
OK, that was a difficult one for him. | 0:49:30 | 0:49:32 | |
The difference between the two categories of colour | 0:49:32 | 0:49:36 | |
are very close to each other - for us it's clear the one that is different, | 0:49:36 | 0:49:40 | |
but for them, they have to look very hard. | 0:49:40 | 0:49:43 | |
We measure the time they take to give a response, as well as errors. | 0:49:43 | 0:49:48 | |
And what we find is that the Himba will take much longer | 0:49:48 | 0:49:52 | |
to find the different colour in this version of the experiment with blue and green. | 0:49:52 | 0:49:57 | |
The Himba, with their five words, | 0:50:09 | 0:50:11 | |
do, in some ways, see the world slightly differently from us. | 0:50:11 | 0:50:16 | |
At Goldsmiths College, at the University of London, | 0:50:26 | 0:50:29 | |
Serge's professor, Jules Davidoff, is trying to get to the bottom of this difference. | 0:50:29 | 0:50:35 | |
I'm going to show you this. | 0:50:35 | 0:50:37 | |
Look at it carefully. Don't say anything. | 0:50:37 | 0:50:41 | |
He's been doing similar experiments with children. | 0:50:42 | 0:50:45 | |
Look at it carefully. Ready? | 0:50:45 | 0:50:49 | |
It seems that the number of terms a culture has for colours is all down to how much we need them. | 0:50:49 | 0:50:56 | |
There are many languages in Europe | 0:50:56 | 0:50:59 | |
that only had five or six colour terms until quite recently. | 0:50:59 | 0:51:02 | |
Welsh is one example, where there was no word for pink or brown. | 0:51:02 | 0:51:06 | |
But now these words are important, | 0:51:06 | 0:51:08 | |
and so the words have become imported into their language. | 0:51:08 | 0:51:12 | |
Language does have a subtle effect on how you see colour. | 0:51:12 | 0:51:16 | |
It really shows up, not with individual colours, | 0:51:19 | 0:51:22 | |
but when you compare two colours side by side. | 0:51:22 | 0:51:24 | |
For individual colours, | 0:51:26 | 0:51:28 | |
everybody sees the same sensation. | 0:51:28 | 0:51:31 | |
But when we have two colours, | 0:51:31 | 0:51:34 | |
we have to make a similarity judgment. | 0:51:34 | 0:51:36 | |
And making a similarity judgment, we believe, | 0:51:36 | 0:51:41 | |
differs according to whether you have different words for colours. | 0:51:41 | 0:51:46 | |
All this suggests that seeing colour | 0:51:50 | 0:51:52 | |
is about lot more than just opening your eyes. | 0:51:52 | 0:51:56 | |
Colour is created in your brain. | 0:51:56 | 0:51:58 | |
It's made from the language you speak. | 0:52:00 | 0:52:05 | |
The memories you carry. | 0:52:05 | 0:52:08 | |
Even the moods you feel. | 0:52:08 | 0:52:12 | |
It is one of nature's great illusions. | 0:52:12 | 0:52:15 | |
That's why Beau Lotto wants to test how each of us creates colours. | 0:52:18 | 0:52:24 | |
Because maybe we all do it differently. | 0:52:24 | 0:52:27 | |
Do we all see the same colours? | 0:52:28 | 0:52:31 | |
People have been asking this question for centuries, really. | 0:52:31 | 0:52:34 | |
And it's a fascinating question. Is one person's perception of red the same as someone else's, | 0:52:34 | 0:52:39 | |
or could your perception of red be my perception of green? | 0:52:39 | 0:52:43 | |
The first experiment was looking at how people arrange colours together. | 0:52:45 | 0:52:50 | |
They were given 49 different tiles, | 0:52:50 | 0:52:52 | |
and asked to place them in any pattern they liked on the board. | 0:52:52 | 0:52:56 | |
And the question is, what do they do? | 0:52:57 | 0:52:59 | |
They're going to create a pattern, but which pattern, | 0:52:59 | 0:53:02 | |
and why that one, as opposed to another? | 0:53:02 | 0:53:04 | |
There are hundreds of billions of different ways these colours could be arranged. | 0:53:06 | 0:53:11 | |
Rather a lot. | 0:53:11 | 0:53:13 | |
But he found that people didn't arrange them at random, | 0:53:13 | 0:53:16 | |
but in patterns that were so predictable | 0:53:16 | 0:53:19 | |
that Beau could generally work out how people were going to place them together. | 0:53:19 | 0:53:25 | |
So if you gave me a colour, I could predict the colours | 0:53:25 | 0:53:28 | |
that people would put around it, almost perfectly. | 0:53:28 | 0:53:32 | |
And yet each person there had no instruction, | 0:53:32 | 0:53:35 | |
just to take these colours, put them on this board, | 0:53:35 | 0:53:39 | |
and they all created something that was highly predictable. | 0:53:39 | 0:53:43 | |
The clue to predicting the patterns people were creating lay in nature. | 0:53:44 | 0:53:50 | |
People were creating structures that were similar to the natural images they saw every day. | 0:53:50 | 0:53:56 | |
So what that tells us is that when it comes to seeing colour, | 0:54:01 | 0:54:06 | |
we can't escape from our ecological history. | 0:54:06 | 0:54:08 | |
We can't but help impose that structure onto the world. | 0:54:08 | 0:54:12 | |
We all have, hard-wired into our brains, a natural sense of how colours should fit together. | 0:54:14 | 0:54:20 | |
A second experiment looked at how the way you feel | 0:54:23 | 0:54:27 | |
might affect what you see. | 0:54:27 | 0:54:29 | |
Beau used two different states often used in psychological experiments. | 0:54:29 | 0:54:33 | |
Feeling powerful and in control, or powerless. | 0:54:33 | 0:54:37 | |
Because of some of the manipulations we're doing to people during these experiments, | 0:54:37 | 0:54:42 | |
we're giving them a sense of power, by them remembering | 0:54:42 | 0:54:45 | |
a time in their life where they had a sense of control. | 0:54:45 | 0:54:48 | |
The experiment he gave them was to look at a coloured dot on grey, | 0:54:56 | 0:55:01 | |
and to say if they noticed the colours changing. | 0:55:01 | 0:55:05 | |
We then sat them down, and we altered the light, | 0:55:05 | 0:55:08 | |
and we asked them, how different does it have to be before you see it? | 0:55:08 | 0:55:11 | |
The question was whether the people placed in the powerful state could spot the difference in colour, | 0:55:11 | 0:55:17 | |
in the same way as people in a powerless state. | 0:55:17 | 0:55:20 | |
Now, you would have thought something as simple as that | 0:55:22 | 0:55:25 | |
could not be affected by how I feel. But in fact, it is. | 0:55:25 | 0:55:29 | |
He found that people feeling more powerful | 0:55:29 | 0:55:32 | |
were able to spot changes in colour more effectively than the powerless. | 0:55:32 | 0:55:37 | |
The more powerful, the more control they had, the more sensitive they were. | 0:55:38 | 0:55:44 | |
There's even a difference between men and women. | 0:55:47 | 0:55:51 | |
What was remarkable is that not only were women more sensitive | 0:55:51 | 0:55:57 | |
than men, but then, women who had a stronger sense of control | 0:55:57 | 0:56:03 | |
were even more sensitive than women who were not. | 0:56:03 | 0:56:05 | |
How these women felt about themselves actually caused them | 0:56:05 | 0:56:10 | |
to see the world more accurately, or less accurately. | 0:56:10 | 0:56:14 | |
The experiments looked at different aspects of colour perception. | 0:56:16 | 0:56:20 | |
Just push on forward. | 0:56:20 | 0:56:22 | |
Looking at how young and old people connected colour and emotion. | 0:56:23 | 0:56:28 | |
Looking at how they perceived patterns of light and dark. | 0:56:30 | 0:56:35 | |
And of course, at how colour affects the perception of the passing of time. | 0:56:35 | 0:56:39 | |
For those of you see the shades of grey different over here than over here, | 0:56:39 | 0:56:44 | |
you're going to be a bit surprised. | 0:56:44 | 0:56:46 | |
When he examined the results in detail, | 0:56:47 | 0:56:50 | |
he found consistent patterns in how groups of people perceived colour. | 0:56:50 | 0:56:55 | |
We discovered that in fact, people of different sex, different age, | 0:56:55 | 0:56:59 | |
different levels of status, actually perceive colour differently. | 0:56:59 | 0:57:04 | |
And that seems really quite remarkable, when we remember | 0:57:04 | 0:57:08 | |
that all we're dealing with is the light that falls on to your eye. | 0:57:08 | 0:57:11 | |
It's a remarkable finding. It suggests that in everyday life, | 0:57:13 | 0:57:16 | |
we could be experiencing colours differently from those around us... | 0:57:16 | 0:57:21 | |
..even experiencing colours differently from day to day. | 0:57:24 | 0:57:28 | |
So in thinking about whether, do you see what I see? | 0:57:28 | 0:57:32 | |
The answer really depends on what it is we're looking at. | 0:57:32 | 0:57:37 | |
So if what we're looking at is something that's been shaped by evolution itself, then yes, | 0:57:37 | 0:57:42 | |
we probably see something very similar. | 0:57:42 | 0:57:44 | |
But if it's something shaped by our own individual experiences, | 0:57:44 | 0:57:47 | |
then no, we can see the world very differently. | 0:57:47 | 0:57:50 | |
What's surprising for us is that our individual experiences, | 0:57:50 | 0:57:55 | |
the differences in our individual experiences, | 0:57:55 | 0:57:58 | |
in the way I feel at this moment, | 0:57:58 | 0:58:00 | |
can alter something as simple as colour. | 0:58:00 | 0:58:03 | |
So we can see colours differently, based on how I feel. | 0:58:04 | 0:58:07 | |
What that means is that the colours that are hard-wired | 0:58:07 | 0:58:11 | |
into our evolutionary history, we probably see these the same. | 0:58:11 | 0:58:17 | |
But for the others, like the colour you see in someone's eyes when you're in love, | 0:58:24 | 0:58:29 | |
or the colours you choose when you're feeling sad, | 0:58:29 | 0:58:34 | |
when it comes to these, you're probably not seeing what I see. | 0:58:34 | 0:58:40 | |
# Somewhere over the rainbow | 0:58:40 | 0:58:45 | |
# Way up high | 0:58:45 | 0:58:51 | |
# And the dreams that you dreamed of | 0:58:51 | 0:58:56 | |
# Once in a lullaby... # | 0:58:56 | 0:59:02 |