This is AI UX, a miniseries focused
on 10 guidelines created to assist you
in the design and development of AI-based systems.
I'm Daria Loi, an Intel researcher.
And today I will talk about guideline number two,
adopting the minimize intrusion mantra
with a less is more data approach.
The more data you fit into a system,
the more the system will learn, improving its algorithm's
efficiency and accuracy.
Having said that, you must be thoughtful in your data
approach.
When designing and developing AI systems,
use minimalism as a compass.
This means to only collect the data that is necessary for you
to successfully achieve the requested transaction.
For instance, if I recorded you 24/7,
the likelihood for me to accurately understand your life
and use algorithms to predict your future behaviors
would be higher than if I only had
data from a handful of motion sensors in your home.
Yet 24/7 monitoring would be intrusive and exhausting.
You would probably be hesitant to let someone collect data
on you all the time, as your personal privacy
would be compromised.
Just because a massive data collection
could make your AI-based system more advanced,
it does not mean that it should be pursued fully.
There has to be a level of respect and anonymity
for your users to ensure that people will embrace and use
an intelligent system.
Research interviews I conducted made
it clear that the more someone becomes
familiar with an intelligent system, the more they trust
and feel comfortable in using it.
To establish familiarity, careful design
and considerations are needed.
One of the participants in my research
was originally skeptical of smart home systems,
explained that she considered the technology
only after her husband purchased the system.
Once the system reached their home,
she took some time to get familiar with it.
As she grew more familiar and her comfort with the system
increased, she started exploring advanced capabilities
and felt open to embrace more systems
to refine her smart home abilities,
even if that meant allowing her systems to collect more data.
She was able to do this after realizing
the value of the technology through daily use, validating
that it was a safe technology, and after realizing
that the system value-add justified additional data
collection.
Familiarity and trust are crucial if you want someone
to feel confident using your AI system.
This process takes time, patience, and respect
for user preferences.
Based on these findings, I have concluded this recommendation.
Adopt the minimize intrusion mantra and a less
is more data approach.
The minimize intrusion mantra is something
you should always be saying to yourself while designing
for user experience.
You can follow this mantra by setting
the system default settings and a basic level
with basic function.
Additionally, the less is more data
approach should be followed by collecting, using,
and storing only the necessary amount of data.
Make it so the user can change these things
later on once familiarity is established.
A smart system should dynamically
change settings based on direct user's request or feedback
loops.
Keeping your design less intrusive
and being thoughtful about your data collection and usage
will greatly improve your user experience design
and will help the user be comfortable enough
to try your experiences again.
Thanks for watching.
Don't forget to like this video and subscribe.
And I will see you next week on Tuesday for more AI UX.
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