Two years back, Toyota offered us a glimpse
into their version of the future where surprisingly, driving is still
fun. Concept-i is
the star in the autonomous future where people are still driving. And in the
case of Toyota, it's so much fun because they're cruising along with their
buddy Yui, an AI personality that helps them navigate, communicate and even
contributes in their discussions.
Yui is all over the car, controlling every function and even taking the wheel when required to. It's definitely an exciting future where the machine sounds and “feels” like a human, even exhibiting empathetic behaviour.
Related: Preparing for the Future of AI
That's the kind of future I'd imagine awaits
user experience (UX) in the world of AI. A time when the human-AI connection is
so deep that some experts say there will be “no interface.” But currently, UX
does depend on an interface. It requires screens, for instance, and they don't
do much justice to it. Integrating AI into the process will mean better
experience all around.
From websites to homes and cars, here's how
AI could help patch the holes and bring UX closer to maximum potential.
1.
Complex data analysis.
Until now, to improve user engagement in
their products, UX teams have turned to tools and metrics such as usability
tests, A/B tests, heat maps and usage data. However, these methods are
soon to be eclipsed by AI. It's not so much because AI can collect more data --
it's how much you can do with it.
Using AI, an ecommerce store can track user behaviour
across various platforms to provide the owner with tips on how they can improve
their purchasing experience, eventually leading to more sales. AI can be used
to tailor the design to each user’s specifications, based on the analysis of
the collected data.
2. Deeper human connection.
By analysing the vast amount of data
collected, AI systems can create a deeper connection with humans, enhancing
their relationship. This is already happening in a couple of industries. When
you think of Siri, you see a friendly-voiced (digital) personal assistant.
When Amazon first introduced Alexa, it took the market by storm. But its
usefulness could only be proven over time. And it was. Smart-home owners are
using it to do a million things, including scouring the internet for recipes,
schedule meetings and shop. It's also being used in ambulances. Even Netflix’s highly predictive algorithm is
a case example of AI in use.
Toyota says Concept-i isn't just a car, but a
partner. From the simulation video, you can see that Yui connects with the
family on a level that current UX doesn't reach.
By using the function over and over,
consumers end up establishing an interdependent relationship with the system.
That's exactly how AI is designed to work. You use the system; it collects
data; it uses it to learn; it becomes more useful; gives better user
experience; you use it more as it collects data, learns and becomes more
useful; and the cycle continues. You don't even see it coming -- and before you
know it, you're deeply connected.
3. More control by the user.
A common concern about the adoption of AI to
everyday life is whether the machines might eventually rise and take over the
world. In other words, users are concerned about losing control over the
systems. It's a legitimate
concern with the autonomous cars, robots guards
and smart homes expected to become commonplace.
This lack of control is mirrored in the
skepticism for the future, but it can also be seen in commerce and other areas
where user experience is of great importance. For instance, a user will be more
likely to enter their card information into a system if they feel they have
control over when money is transferred, to whom it goes and that they can
retrieve it in case something goes wrong.
As AI develops, users will gain more control over the system, gradually improving trust which will lead to more usage.
In Which AI Could Enhance Your Company's UX
UX design is about a designer trying to communicate a machine's model to the user. Meaning, the designer is trying to show the user how the machine works and the kind of benefits they can get from it, from the former's point of view.
Traditionally, this involved following certain rules, and designers understood them very well. A designer knows how to create a web page by following certain rules that they can probably manipulate. With AI, however, the design is dependent on a complex analysis of data instead of following sets of rules. To be able to design using AI, designers will have to really understand the technology behind it.
Mixing UX and AI as we can have played with “AIBO”
Artificial intelligence
Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with
intelligent beings. The term is frequently applied to the project of developing
systems endowed with the intellectual processes characteristic of humans, such as the
ability to reason, discover meaning, generalize, or learn from past experience.
Since the development of the digital
computer in the 1940s, it has been demonstrated
that computers can be programmed to carry out very complex tasks - as, for
example, discovering proofs for mathematical theorems or playing chess - with great proficiency. Still, despite continuing
advances in computer processing speed and memory capacity, there are as yet no
programs that can match human flexibility over wider domains or in tasks
requiring much everyday knowledge. On the other hand, some programs have
attained the performance levels of human experts and professionals in
performing certain specific tasks, so that artificial intelligence in this
limited sense is found in applications as diverse as medical diagnosis, computer search
engines, and voice or handwriting recognition.
What
Is Intelligence?
All but the simplest human behaviour is
ascribed to intelligence, while even the most complicated insect behaviour
is never taken as an indication of intelligence. What is the difference?
Consider the behaviour of the digger wasp, Sphex
ichneumoneus. When the female wasp returns to her burrow with food,
she first deposits it on the threshold,
checks for intruders inside her burrow, and only then, if the coast is clear,
carries her food inside. The real nature of the wasp’s instinctual
behaviour is revealed if the food is moved a few inches
away from the entrance to her burrow while she is inside: on emerging, she will
repeat the whole procedure as often as the food is displaced.
Fixing
the AI in real time
Problem solving, particularly in artificial intelligence, may be characterized as a systematic search through a range of possible actions in order to reach some predefined goal or solution. Problem-solving methods divide into special purpose and general purpose. A special-purpose method is tailor-made for a particular problem and often exploits very specific features of the situation in which the problem is embedded. In contrast, a general-purpose method is applicable to a wide variety of problems. One general-purpose technique used in AI is means-end analysis—a step-by-step, or incremental, reduction of the difference between the current state and the final goal. The program selects actions from a list of means—in the case of a simple robot this might consist of PICKUP, PUTDOWN, MOVEFORWARD, MOVEBACK, MOVELEFT, and MOVERIGHT—until the goal is reached.
Many diverse problems have been solved by artificial intelligence programs. Some examples are finding the winning move (or sequence of moves) in a board game, devising mathematical proofs, and manipulating “virtual objects” in a computer-generated world.
Many diverse problems have been solved by artificial intelligence programs. Some examples are finding the winning move (or sequence of moves) in a board game, devising mathematical proofs, and manipulating “virtual objects” in a computer-generated world.
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