Citeren Craig Weinberg <>:

*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

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


You can't expect a machine with the computational capabilities of less than an insect brain to the job most people do. It's actually amazing that such machines can do quite a lot, but some tasks we perform are the result of a significant part of our brain power.


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