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Last year at TED we aimed to try to clarify
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the overwhelming complexity
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and richness that we experience at the conference
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in a project called Big Viz.
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And the Big Viz is a collection of 650 sketches
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that were made by two visual artists.
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David Sibbet from The Grove,
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and Kevin Richards, from Autodesk,
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made 650 sketches that strive to capture
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the essence of each presenter's ideas.
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And the consensus was: it really worked.
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These sketches brought to life the key ideas,
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the portraits, the magic moments
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that we all experienced last year.
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This year we were thinking, "Why does it work?"
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What is it about animation,
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graphics, illustrations, that create meaning?
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And this is an important question to ask and answer
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because the more we understand how the brain creates meaning,
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the better we can communicate,
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and, I also think, the better we can think and collaborate together.
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So this year we're going to visualize how
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the brain visualizes.
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Cognitive psychologists now tell us that the brain
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doesn't actually see the world as it is,
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but instead, creates a series of mental models
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through a collection of "Ah-ha moments,"
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or moments of discovery, through various processes.
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The processing, of course, begins with the eyes.
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Light enters, hits the back of the retina, and is circulated,
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most of which is streamed to the very back of the brain,
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at the primary visual cortex.
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And primary visual cortex sees just simple geometry,
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just the simplest of shapes.
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But it also acts like a kind of relay station
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that re-radiates and redirects information
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to many other parts of the brain.
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As many as 30 other parts that selectively make more sense,
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create more meaning through the kind of "Ah-ha" experiences.
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We're only going to talk about three of them.
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So the first one is called the ventral stream.
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It's on this side of the brain.
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And this is the part of the brain that will recognize what something is.
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It's the "what" detector.
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Look at a hand. Look at a remote control. Chair. Book.
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So that's the part of the brain that is activated
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when you give a word to something.
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A second part of the brain is called the dorsal stream.
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And what it does is locates the object
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in physical body space.
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So if you look around the stage here
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you'll create a kind of mental map of the stage.
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And if you closed your eyes you'd be able to mentally navigate it.
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You'd be activating the dorsal stream if you did that.
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The third part that I'd like to talk about
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is the limbic system.
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And this is deep inside of the brain. It's very old, evolutionarily.
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And it's the part that feels.
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It's the kind of gut center, where you see an image
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and you go, "Oh! I have a strong
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or emotional reaction to whatever I'm seeing."
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So the combination of these processing centers
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help us make meaning in very different ways.
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So what can we learn about this? How can we apply this insight?
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Well, again, the schematic view
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is that the eye visually interrogates what we look at.
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The brain processes this in parallel, the figments of information
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asking a whole bunch of questions
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to create a unified mental model.
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So, for example, when you look at this image
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a good graphic invites the eye to dart around,
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to selectively create a visual logic.
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So the act of engaging, and looking at the image creates the meaning.
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It's the selective logic.
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Now we've augmented this and spatialized this information.
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Many of you may remember the magic wall that we built
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in conjunction with Perceptive Pixel
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where we quite literally create an infinite wall.
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And so we can compare and contrast the big ideas.
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So the act of engaging and creating interactive imagery
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enriches meaning.
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It activates a different part of the brain.
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And then the limbic system
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is activated when we see motion, when we see color,
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and there are primary shapes and pattern detectors
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that we've heard about before.
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So the point of this is what?
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We make meaning by seeing,
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by an act of visual interrogation.
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The lessons for us are three-fold.
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First, use images to clarify what we're trying to communicate.
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Secondly make those images interactive
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so that we engage much more fully.
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And the third is to augment memory
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by creating a visual persistence.
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These are techniques that can be used to be --
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that can be applied in a wide range of problem solving.
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So the low-tech version looks like this.
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And, by the way, this is the way in which
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we develop and formulate
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strategy within Autodesk,
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in some of our organizations and some of our divisions.
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What we literally do is have the teams
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draw out the entire strategic plan
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on one giant wall.
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And it's very powerful because everyone gets to see everything else.
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There's always a room, always a place
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to be able to make sense of all of the components
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in the strategic plan.
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This is a time-lapse view of it.
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You can ask the question, "Who's the boss?"
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You'll be able to figure that out. (Laughter)
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So the act of collectively and collaboratively
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building the image
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transforms the collaboration.
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No Powerpoint is used in two days.
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But instead the entire team
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creates a shared mental model
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that they can all agree on and move forward on.
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And this can be enhanced and augmented with
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some emerging digital technology.
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And this is our great unveiling for today.
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And this is an emerging set of technologies
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that use large-screen displays
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with intelligent calculation in the background
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to make the invisible visible.
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Here what we can do is look at sustainability, quite literally.
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So a team can actually look at
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all the key components that heat the structure
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and make choices and then see the end result
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that is visualized on this screen.
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So making images meaningful has three components.
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The first again, is making ideas clear by visualizing them.
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Secondly, making them interactive.
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And then thirdly, making them persistent.
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And I believe that these three principles
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can be applied to solving some of the very tough problems
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that we face in the world today. Thanks so much.
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(Applause)