New AI Technology Uses Vital Signs to Predict If a Date Will ‘Smash or Pass’

We are in the era of technology, and there are so many advancements in so many different fields it takes work to keep track.

AI is one such field that has advanced in leaps and bounds. So advanced now it can be used to predict how well your date might go.

That’s right. Artificial intelligence can now tell you how successful your date might be judging from a person’s sweat, heart rate, and breathing patterns.

How the AI Technology Works

Using data from wearable technology, some engineers at the University of Cincinnati could train a computer to recognize the type of conversation two people were having based on their physiological responses.

For the study, 16 pairs of participants discussed topics they agreed or disagreed with before moving on to 4 different discussions.

They had a positive conversation, where they gladly chatted about something they both agreed on, and a negative conversation, where they discussed an objectionable topic. Each took turns leading the conversation.

The computer could deduce between four different instances, with an accuracy of 75%, even when the conversation took place over zoom.

Lead Researcher Iman Chatterjee explained that the results relied on a phenomenon known as “physiological synchrony.”

New AI can tell if a date will ‘smash or pass’ based on vital signs https://t.co/cwwADn8R4g pic.twitter.com/NIjQMsXA9Z

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It can indicate how involved people are by how their rate, respiration, and perspiration rates all align and is also believed to be part of an evolutionary adaptation.

Chatterjee explained that humans evolve to share and work together, which happens subconsciously because we are social animals.

Observation based on results

The study also observed that two people’s physiological responses become more alike as they converse or collaborate.

The degree of synchrony between the two depends on the quality of the cooperation and conversation engagement. In turn, it can be used to qualify interpersonal interaction.

“It is certainly no coincidence. We only observe physiological synchrony when measured, but it probably creates a better coordination level,” Chatterjee said.

He added, “A modified version of our system could determine a person’s level of interest in the conversation, how compatible you both are, and the other person’s level of engagement in the conversation.”

Synchrony can also equate to how much compassion a patient gets from a therapist. It can also correlate to the teacher’s engagement with her students.

Previous studies have shown that physiological synchrony can discern how well two people collaborate on a task. Businesses can use this to ascertain which workers in a company perform best in a group setting.

Vesna Novak, the study’s co-author, is an associate professor at UC’s College of Engineering and Applied Science.

Novak said, “We’ve shown that AI can identify positive versus negative conversations, but can you separate shades of gray that humans wouldn’t discern?”

In the future, these AI models can help in various fields, such as mental health, counseling, and education. It can also aid in group settings such as competitions and collaborations.

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