Can Users Control and Understand a UI Driven by Machine Learning?

From Nielson Norman Group:

Summary: In a study of people interacting with systems built on machine-learning algorithms, users had weak mental models and difficulties making the UI do what they want.

We live in a world flooded by information. It’s harder and harder for us to keep track of it or to manually curate it for others; luckily, modern data science can sort through the vast amounts of information and surface those items that are relevant to us.

Machine-learning algorithms rely on user knowledge and patterns observed in the data to make inferences and suggestions about what we may like or be interested in.  With machine-learning technologies becoming more and more accessible to developers, there’s a push for companies to take advantage of these algorithms to improve their products and their users’ experience.

Typical uses of such artificial-intelligence (AI) technologies for UX purposes include:

Read Full Article

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.