What Role Can Smart Technology Play in Helping a Frustrated User?
M A R C H 2 0 1 7
WHAT ROLE CAN
IN HELPING A
From connected cars with crash prevention sensors to
internet-connected appliances in our homes, smart
technology is increasingly becoming a part of our lives
and changing how we interact with the world on a day-
But as much as smart technology has begun to integrate itself into 21st-
century society, we find ourselves only at the infancy of this revolutionary
innovation.Because smart technology is still new, it sometimes fails to work
the way we want it to, resulting in frustration.
Although that programming has gotten better and more sophisticated with
time, computer or smartphone users of any make and model may still
experience periodic freezes or app crashes.
However, new kinds of programming in smart technology are being
implemented to reduce these crashes, and, thereby, user frustration.
Like the smart technology they’re intended to run, these programs
themselves are smart because they are able to adapt and learn the
longer that they are used. Powered by a principle called deep
learning, these programs offer unique new opportunities for
streamlined experiences with tech.
Deep learning is a kind of
artificial intelligence that is
modeled on the structure
of the human brain.
Although computers are
able to use binary code and
algorithms to perform
complex calculations at
many times the speed of
the human brain, one
missing rule in the chain of
code can crash the entire
The human brain is able to bypass missing links to form new
connections. This is because our brains are loaded with the
power of perception, an almost instantaneous ability to identify
people and objects without having to search for a
preprogrammed rule that helps us make the identification. Deep
learning aims to harness this power of perception and imbue it
Alexa, Amazon’s digital assistant found on its Echo brand of
products, also functions through a mixture of deep learning and
Deep learning is also paving the way for implementing real-time
language translation programs with minimal error rates,
something that will change the way we interact with one another
on a global scale.
But innovations beyond
deep learning hint at an
even more streamlined
user experience with
technology in the not too
distant future. Pepper, a
robot developed by
Softbank, is the first of its
kind to be able to read and
emotions. Capable of
interpreting smiles, frowns,
tone of voice, and even
body language, Pepper is
the next generation of
In the years ahead, AI-enabled technology has the
potential to make UI/UX design implementation easier on
large-scale projects and could also optimize machine-
delivered communications in customer service situations.
Although deploying AI as a solution to user frustration is a
promising concept, we still have a ways to go before we,
the user, can expect to receive personalized, human-like
assistance from bots.
But, who knows? Humans, we know, can’t predict the
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