Could a Virtual Friend Improve Your Mental Health?

Could a Virtual Friend Improve Your Mental Health?

Virtual assistant says,

Computer science major Jason Fotso-Puepi '23 interacts with a virtual assistant named Dost, or "friend" in Hindi, which is able to discern emotional cues from users—a potential aid for mental health care. This image was taken with a cell phone camera with a program able to see the virtual friend. Image courtesy of Project Dost

You’re feeling nervous as finals week approaches. A friend passing you on McKeldin Mall stops to ask how you’re feeling. “Good,” you reply with wince and a shrug.

The friend can plainly see from your facial expression and body language that “good” alone doesn’t capture the truth about your emotional state. Now, a UMD computer scientist has created a virtual “friend”—an artificial intelligence-driven virtual conversational assistant—which also can understand the subtleties about how you convey emotion.

Project Dost (named for the Hindi word for “friend”) combines data about gait, gesture, facial expression and speech intonation to generate the assistant that can interact in culturally sensitive contexts by perceiving, interpreting and responding to your emotions.

Brain and Behavior Institute seed grant launched the project led by Aniket Bera, an assistant research professor of computer science with an appointment at the University of Maryland Institute for Advanced Computer Studies.

“In our daily lives, many of us use chatbots like Amazon Alexa, Google Home or Apple Siri, but these conversational voice agents feel impersonal,” said Bera. “Alexa doesn’t have empathy. It isn’t expressive. Dost feels more human.”

“If you’re going to put a human touch on it, you might as well make sure that it’s human.”

Such virtual friends, he said, could help bridge the gap between the high demand for mental health services and a low supply of practitioners, a gap that has grown wider during the pandemic. An AI program that understands human affect can help deploy medical practitioners to those in greatest need or provide information to a therapist. The real-time nature of Project Dost’s emotional sensitivity and expression both elicits and registers better information about emotional states, just as a friend would.

“When I say that Dost is an emotional friend, I mean that it engages not primarily with the content of a conversation but rather with how that conversation is happening,” said Bera. “The combination of speech, gesture, body language and facial expression is in itself an engineering marvel.”

Beyond the continued testing of Dost to ensure its clinical validation, Bera hopes that the project will generate undergraduate enthusiasm for a course in virtual reality crossed with artificial intelligence.

“Maryland is well-known for its expertise in AI, and there are exciting opportunities to strengthen partnerships between AI, neuroscience and computer science—particularly in a course that fully blends AI with virtual reality,” said Bera.

Original news story written by Nathaniel Underland

November 18, 2021

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