The Trouble with Computers: Usefulness, Usability and Productivity.
Yoon, Yong J.
Man's hankering for intelligent devices dies hard. Since the
time of our cave-dwelling ancestors, the adaptability of our physiology has not changed much; the size of our brain and the dexterity of our
hands have not improved. But we have constantly added new tools for
growing crops and building shelters, for governing and waging wars, and
for building jet airlines. We have also learned how to design and apply
computers, which have fascinated many visionaries including economists.
Economists have been constantly interested in the information
technology that was made possible by computers. Herbert Simon and others
economists believe that this is equivalent to the industrial revolution.
But Landauer, a cognitive psychologist (not an economist), tells us
that, considering the early enthusiasm and heavy investment in the
computers, the performance record of computers in enhancing productivity
has been poor. He believes the computers are in deep trouble.
Those nations, industries or people, who have invested heavily in the
computers have not received proportional returns except to those who
sell computers. Only the communications industry appears to have
exploited the technology to significant advantage. This issue certainly
concerns economists, especially when many economists suspect that
information technology is partly responsible for the current income
inequality and the impoverishing of low-skill workers in the United
States and Europe.
Landauer reviews statistical data and asserts economic conjectures on
the computers and information technology. Some of them are not very
convincing or fully justified, but I found them interesting. Against the
conventional view that the spillover effect of computers is higher than
we see from statistical data alone, the author argues that the computer
did not contribute much in productivity. The author also argues that the
productivity decline in the '70s was caused by the poor investment
in computer technology. Landauer thinks that evolution of the market, or
market force, does not bring about the potential of computers.
Economists would ask: then what would?
What is more interesting is his insight into the use of the computers
in increasing labor productivity. The improvement in computer hardware
has been impressive and reduces calculation costs dramatically. Their
raw power for computation continues to double every few years. But,
Landauer argues correctly that calculation is only a small fraction of
input in the industry (or in the economy). Instead of asking who need
computers, we should ask who need calculations. Computers would not
contribute much in improving productivity because calculation is not an
important input to most projects except perhaps bomb and airplane design. We cannot assume that their economic value is directly
proportional to computational power. The premise of the whole book is
that computers have not contributed nearly as much to labor productivity
as we have believed they should.
The way computers are designed and have been developed and the
computer's effects on the efficiency of their users seem to have
intrigued Landauer, who is himself a software engineer and an AT&T
consultant. He finds evidence that information technology does not help
much in the first place; he analyzes why, and proposes remedies. The
remedies involve user-centered design. His argument is convincing.
Basically, computers can do anything that can be reduced to numerical
or logical operations. This makes automation feasible. But the gain from
automation is limited, as most of the easily reached opportunities have
been already exploited. Computers are helpful for new scientific
knowledge, too. However, the next phase of computer application is what
the author calls augmentation. This involves the wide range of things
people do that cannot be easily taken over by a calculating machine.
Most of the things people do - talk, understand language, write,
persuade, decide, administer - fall into this category.
So far we have not been very successful in this phase.
Landauer's explanation is that the software is too difficult to
use. This is partly because the inclination of the developers in the
past has been to just design a powerful feature, then let someone figure
out how to teach its use. Computers are powerful and flexible, and there
are many things that they can be made to do. Boolean algebra can map
language for computers to work on, but cannot map the rich connotations
we associate with language. It will take a while until we fully
understand and benefit from the revolution in information technology
made possible by computers since the 1960s.
The author emphasizes that the solution is to develop user centered
software. He tries to help us understand this problem by analyzing some
of the success stories in computer software development. But his
analysis does not go beyond the surface of these case studies. His
examples are helpful and awaken our superstition of believing more than
what the computers can do. But the book lacks any insight into using
computers at the phase two level. Perhaps Landauer is not to blame and
just indicates where we are. But his repetitive illustration of
statistics does not help much.
At the end of the book, Landauer offers an interesting vision and
disclaimer. "This shared capacity was first manifest in language,
later in writing, math, and science. By comparison with our forebears,
each of us has become a genius. The human mind is not housed in an
isolated block of tissues in a person's skull. It draws on the
whole wealth of stored human knowledge and the whole power of our shared
mental tools. The growth of this mental power has probably just begun.
Computers offer so much' more than mere language and will make
mental powers appear to our great-grandchildren the way those of
chimpanzees appear to us today. But it won't work - not until it is
based on thorough task analysis in a realistic setting, not until
it's mocked-up and tried and revised, and again, then again, then
again."
This vision is shared by those developers of internet and networking
technologies.
Yong J. Yoon Public Service Commission, Washington, D.C.