Skip to Content

Augmented Reality Interface Exploits Human Nervous System

Systems that keep information simplified until we focus on it are the AR equivalent of application switching

The most important function of the brain is figuring out what to ignore: Research suggests that we can process only about one percent of the visual information we take in at any given moment. That’s one reason why, as augmented reality (AR) inches ever closer to prime time, researchers at the University of Tokyo tackled an issue that could be distracting and even dangerous: Clutter in the narrow portion of our visual field that is high resolution – literally, the center of our attention.

Combining AR with eye-tracking allows a hands-free interface

Their solution is as straightforward as it is ingenious: display objects that demand attention in the user’s peripheral vision as simple icons that can be processed even by the limited visual acuity of our peripheral vision. If a user wants more information, for example to read an email represented in the peripheral vision by an icon, simply concentrating on the object brings up a higher-resolution instance of it with as much attached information as necessary.

Here’s a diagram that shows the acuity of various portions of the human visual field:

To pull off this trick, the AR system the researchers used needed to go beyond typical systems, which simply display information in the user’s visual field, as in a pair of glasses. By adding an eye-tracking system, their AR interface allows interaction to be driven entirely by gaze direction.

This allows an AR interface that keeps information in peripheral vision, in a simplified form that can be processed by the brain. It’s a bit like existing application-switching interfaces: a single source of information (or none at all) can be front and center, while other running applications are represented by icons that only come to the fore when directed.

In this example, the AR system recognizes an object that has come into view. It could be anything – a building, a face – but in this case it’s a microchip. An icon appears in the user’s peripheral vision (a) indicating that more information is available about this object. The icon is large and simple enough that the user can recognize it without making it the center of his or her visual field (and attention). As soon as the user directs their attention to the icon, however, as in (b) and (c ), a more detailed read-out becomes available.

A system like this allows hands-free interaction with an AR system, which is exactly the sort required in a mobile context.

Peripheral vision annotation: noninterference information presentation method for mobile augmented reality,” Proceedings of the 2nd Augmented Human International Conference

Follow Mims on Twitter or contact him via email.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.