http://online.wsj.com/article/SB10001424052702303492504579115310362925246.html
*Humans 1, Robots 0*
Cashiers Trump Self-Checkout Machines at the Grocery Store
Computers seem to be replacing humans across many industries, and
we're all
getting very nervous.
But if you want some reason for optimism, visit your local
supermarket. See
that self-checkout machine? It doesn't hold a candle to the humans--
and its
deficiencies neatly illustrate the limits of computers' abilities
to mimic
human skills.
The human supermarket checker is superior to the self-checkout
machine in
almost every way. The human is faster. The human has a more
pleasing, less
buggy interface. The human doesn't expect me to remember or look up
codes
for produce, she bags my groceries, and unlike the machine, she
isn't on
hair-trigger alert for any sign that I might be trying to steal
toilet
paper. Best of all, the human does all the work while I'm allowed
to stand
there and stupidly stare at my phone, which is my natural state of
being.
There is only one problem with human checkers: They're in short
supply. At
my neighborhood big-box suburban supermarket, the lines for human
checkers
are often three or four deep, while the self-checkout queue is
usually
sparse. Customers who are new to self-checkout might take their
short lines
to mean that the machines are more efficient than the humans, but
that
would be a gross misunderstanding.
As far as I can tell, the self-checkout lines are short only
because the
machines aren't very good.
They work well enough in a pinch--when you want to check out just a
handful
of items, when you don't have much produce, when you aren't loaded
down
with coupons. But for any standard order, they're a big pain.
Perversely,
then, self-checkout machines' shortcomings are their best feature:
because
they're useless for most orders, their lines are shorter, making the
machines seem faster than humans.
In most instances where I'm presented with a machine instead of a
human, I
rejoice. I prefer an ATM to a flesh-and-blood banker, and I find
airport
check-in machines more efficient than the unsmiling guy at the
desk. But
both these tasks--along with more routine computerized skills like
robotic
assembly lines--share a common feature: They're very narrow,
specific,
repeatable problems, ones that require little physical labor and
not much
cognitive flexibility.
Supermarket checkout--a low-wage job that doesn't require much
training--sounds like it should be similarly vulnerable to robotic
invasion.
But it turns out that checking out groceries requires just enough
mental-processing skills to be a prohibitive challenge for
computers. In
that way, supermarket checkout represents a class of jobs that
computers
can't yet match because, for now, they're just not very good
substituting
key human abilities.
What's so cognitively demanding about supermarket checkout? I spoke
to
several former checkout people, and they all pointed to the same
skill:
Identifying fruits and vegetables. Some supermarket produce is
tagged with
small stickers carrying product-lookup codes, but a lot of stuff
isn't.
It's the human checker's job to tell the difference between green
leaf
lettuce and green bell peppers, and then to remember the proper code.
"It took me about three or four weeks to get to the point where I
wouldn't
have to look up most items that came by," said Sam Orme, a 30-year-
old grad
student who worked as a checker when he was a teenager.
Another one-time checker, Ken Haskell, explained that even after
months of
doing the job, he would often get stumped. "Every once in a while
I'd get a
papaya or a mango and I'd have to reach for the book," he said.
In a recent research paper called "Dancing With Robots," the
economists
Frank Levy and Richard Murnane point out that computers replace human
workers only when machines meet two key conditions. First, the
information
necessary to carry out the task must be put in a form that
computers can
understand, and second, the job must be routine enough that it can be
expressed in a series of rules.
Supermarket checkout machines meet the second of these conditions,
but they
fail on the first. They lack proper information to do the job a
human would
do. To put it another way: They can't tell shiitakes from Shinola.
Instead
of identifying your produce, the machine asks you, the customer, to
type in
a code for every leafy green in your cart. Many times you'll have
to look
up the code in an on-screen directory. If a human checker asked you
to
remind him what that bunch of the oblong yellow fruit in your
basket was,
you'd ask to see his boss.
This deficiency extends far beyond the checkout lane.
"In the '60s people assumed you'd be reading X-rays and CT scans by
computers within years," Mr. Levy said. "But it's nowhere near
anything
like that. You have certain computerized enhancements for simple
images,
but nothing like a real CT scan can be read by a computer--and the
same
thing would be true trying to separate arugula from everything else."
You could imagine certain ways to make the identification process
easier
for supermarket computers. For example, we could tag every produce
item
with an electronic identification tag. But that would be an enormous
infrastructural challenge for a dubious return.
A representative for NCR, the world's largest self-checkout vendor,
pointed
me to a company-sponsored survey that shows that customers believe
self-checkout systems are faster than cashier lanes. But I doubt
those
perceptions. When you actually watch self-checkout lanes matched up
against
cashiers, the cashiers come out significantly faster--read this
Ph.D. thesis
for proof, or go to your local store and marvel at how speedy the
humans
are.
Can computers beat them? Perhaps one day, but I doubt it will be
soon. And
that gets to the other issue: Unless the store gives me an explicit
price
break for scanning my stuff, why, exactly, should I be rejoicing
about
doing more work?
_________________________________________________________________________________________________
A lot of what I am always talking about is in there...computers don't
understand produce because they have no aesthetic sensibility. A
mechanical
description of a function is not the same thing as participating in
an
experience.
Craig
