How to pronounce "deviate"

Translator: Andrea McDonough Reviewer: Morton Bast

I'm a mechanical engineering professor

at the University of Pennsylvania,

and my favorite hobby is photography.

And as I travel around the world,

I love taking photographs like these,

so I can remember all the beautiful and interesting things

that I've seen.

But what I can't do is record and share

how these objects feel to touch.

And that's kind of surprising,

because your sense of touch is really important.

It's involved in every physical interaction you do every day,

every manipulation task, anything you do in the world.

So the sense of touch is actually pretty interesting.

It has two main components.

The first is tactile sensations,

things you feel in your skin.

And the second is kinesthetic sensations.

This has to do with the position of your body and how it's moving,

and the forces you encounter.

And you're really good at incorporating

both of these types of sensations together

to understand the physical interactions you have with the world

and understand as you touch a surface:

is it a rock, is it a cat, is it a bunny, what is it?

And so, as an engineer,

I'm really fascinated

and I have a lot of respect for how good people are with their hands.

And I'm intrigued and curious

about whether we could make technology better

by doing a better job at leveraging

the human capability with the sense of touch.

Could I improve the interfaces to computers and machines

by letting you take advantage of your hands?

And indeed, I think we can,

and that's at the core of a field called haptics,

and this is the area that I work in.

It's all about interactive touch technology.

And the way it works is,

as you move your body through the world,

if, as an engineer, I can make a system that can measure that motion,

and then present to you sensations over time

that kind of make sense,

that match up with what you might feel in the real world,

I can fool you into thinking you're touching something

even though there's nothing there.

So here are three examples

and these are all done from research in my lab at Penn.

The first one is all about that same problem that I was showing you:

how can we capture how objects feel

and recreate those experiences?

So the way we solve this problem

is by creating a hand-held tool

that has many different sensors inside.

It has a force sensor, so we can tell how hard you're pushing;

it has motion tracking, so we can tell exactly where you've moved it;

and it has a vibration sensor, an accelerometer, inside,

that detects the shaking back and forth of the tool

that lets you know that's a piece of canvas

and not a piece of silk or something else.

Then we take the data we record from these interactions.

Here's ten seconds of data.

You can see how the vibrations get larger and smaller,

depending on how you move.

And we make a mathematical model of those relationships

and program them into a tablet computer

so that when you take the stylus

and go and touch the screen,

that voice-coil actuator in the white bracket

plays vibrations to give you the illusion

that you're touching the real surface,

just like if you touched, dragged back and forth, on the real canvas.

We can create very compelling illusions.

We can do this for all kinds of surfaces and it's really a lot of fun.

We call it haptography -- haptic photography.

And I think it has potential benefits in all sorts of areas

like online shopping, maybe interactive museum exhibits,

where you're not supposed to touch the precious artifacts,

but you always want to.

The second example I want to tell you about comes from a collaboration I have

with Dr. Margrit Maggio at the Penn Dental School.

Part of her job is to teach dental students

how to tell where in a patient's mouth there are cavities.

Of course they look at X-rays,

but a large part of this clinical judgment comes from what they feel

when they touch your teeth with a dental explorer.

You've all had this happen, they go across.

What they're feeling for is if the tooth is really hard, then it's healthy,

but if it's kind of soft and sticky,

that's a signal that the enamel is starting to decay.

These types of judgments are hard for a new dental student to make,

because they haven't touched a lot of teeth yet.

And you want them to learn this before they start practicing

on real human patients.

So what we do is add an accelerometer on to the dental explorer,

and then we record what Dr. Maggio feels

as she touches different extracted teeth.

And we can play it back for you as a video

with a touch track --

not just a sound track, but also a touch track,

that you can feel by holding that repeating tool.

You feel the same things the dentist felt when they did the recording,

and practice making judgments.

So here's a sample one.

Here's a tooth that looks kind of suspicious, right?

It has all those brown stains.

You might be thinking, "We should definitely put a filling in this tooth."

But if you pay attention to how it feels,

all the surfaces of this tooth are hard and healthy,

so this patient does not need a filling.

And these are exactly the kind of judgments doctors make every day

and I think this technology we've invented has a lot of potential

for many different things in medical training, because it's really simple

and it does a great job at recreating what people feel through tools.

I think it could also help make games more interactive and fun

and more realistic in the sensations that you feel.

The last example I want to tell you about is again about human movement.

So if any of you have ever learned sports,

how do you get good at something like surfing?

You practice.

You practice some more and more, right?

Making small corrections, maybe getting some input from a coach,

learning how to improve your motions.

I think we could use computers

to help make that process more efficient and more fun.

And so here, for example, if I have six different arm movements

that I want you to learn,

you come into my lab at Penn and try out our system.

We use a Kinect to measure your motions, we show graphics on the screen,

and then we also give you touch cues,

haptic feedback on your arm,

delivered by these haptic arm bands which have motors inside,

and guide you as you move.

So, if we put it together,

as you're trying to track this motion,

if you deviate -- say, maybe, your arm is a little too high --

we turn on the motors right there on the skin

to let you know you should move down,

almost like a coach gently guiding you

and helping you master these movements more quickly

and make more precise corrections.

We developed this system for use in stroke rehabilitation,

but I think there are a lot of applications,

like maybe dance training or all sorts of sports training as well.

So now you know a little bit about the field of haptics,

which I think you'll hear more about in the coming years.

I've shown you three examples.

I just want to take a moment

to acknowledge the great students who work with me in my lab at Penn

and my collaborators.

They're a great group.

I also want to thank you for your kind attention.

(Applause)