Skip to Content
Uncategorized

AR Eyewear Fools Your Belly (and Brain) Into Feeling Full

The headset alters how big or small food appears, and influenced how much wearers ate.
November 15, 2012

Of all the diet tricks out there, Tokyo researchers may have hit upon the most devious: just lie to your brain.

A group at the University of Tokyo is developing an augmented reality system that will alter a diner’s perception of the size of food on their plate, and in turn influence how much they eat.

That’s because our food cravings seem to be determined, at least in part, by how our meal looks,Takuji Narumi, one of system’s builders, explained to Diginfo: “We found that when food looks bigger, you feel full right away, but when it looks small, you don’t feel full even if you eat a lot.”

In their demo video, a person wearing the AR headset sits in front of a blue screen holding what looks like an Oreo. He sits still and stares at it, and the Oreo appears to grow in his hand (a laptop to his side lets the audience follow along).

A dozen subjects tested the system, Narumi says. When their food appeared 1.5 times its natural size, the testers at 10 percent less. On the other hand, when researchers “shrank” the food to two-thirds its natural size, their subjects ate 15 percent more.

The setup is a bit cumbersome to use at the moment, but the goal is to spruce it up and slim it down so similar headsets can be used at the dining table. Healthy food will be programmed to appear smaller, and less healthy dishes will look bigger than they really are. Baby carrots anyone?

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.

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.

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.

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.