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How A Machine Learned To Spot Depression

I'm in a booth with a computer program called Ellie. She's on a screen in front of me.

Ellie was designed to diagnose post-traumatic stress disorder and depression, and when I get into the booth she starts asking me questions — about my family, my feelings, my biggest regrets.

Emotions seem really messy and hard for a machine to understand. But Skip Rizzo, a psychologist who helped design Ellie, thought otherwise.

When I answer Ellie's questions, she listens. But she doesn't process the words I'm saying. She analyzes my tone. A camera tracks every detail of my facial expressions.

"Contrary to popular belief, depressed people smile as many times as non-depressed people," Rizzo says. "But their smiles are less robust and of less duration. It's almost like polite smiles rather than real, robust, coming from your inner-soul type of a smile."

Ellie compares my smile to a database of soldiers who have returned from combat. Is my smile genuine? Is it forced?

Ellie also listens for pauses. She watches to see whether I look off to the side or down. If I lean forward, she notices.

All this analysis seems to work: In studies, Ellie could detect signs of PTSD and depression about as well as a large pool of psychologists.

Jody Mitic served with the Canadian forces in Afghanistan. He lost both of his feet to a bomb. And Mitic remembers that Ellie's robot-ness helped him open up.

"Ellie seemed to just be listening," Mitic says. "A lot of therapists, you can see it in their eyes, when you start talking about some of the grislier details of stuff that you might have seen or done, they are having a reaction."

With Ellie, he says, he didn't have that problem.

Right now, Ellie is strictly for diagnosis. The idea is, once Ellie's out in the field, she'll find soldiers who are having a problem and a human will take it from there.

Copyright 2023 NPR. To see more, visit https://www.npr.org.

Stacey Vanek Smith is the co-host of NPR's The Indicator from Planet Money. She's also a correspondent for Planet Money, where she covers business and economics. In this role, Smith has followed economic stories down the muddy back roads of Oklahoma to buy 100 barrels of oil; she's traveled to Pune, India, to track down the man who pitched the country's dramatic currency devaluation to the prime minister; and she's spoken with a North Korean woman who made a small fortune smuggling artificial sweetener in from China.

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Federal funding is gone.

Congress has eliminated all funding for public media.

That means $2.1 million per year that Connecticut Public relied on to deliver you news, information, and entertainment programs you enjoyed is gone.

The future of public media is in your hands.

All donations are appreciated, but we ask in this moment you consider starting a monthly gift as a Sustainer to help replace what’s been lost.

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