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Sci - Tech
 

Non-verbal cues can help predict person's trustworthiness

Thursday - Sep 13, 2012, 03:05am (GMT+5.5)
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Washington - It is possible to tell whether someone you just met can be trusted after spending only a few minutes together?

Using a robot named Nexi, Northeastern University psychology professor David DeSteno and collaborators Cynthia Breazeal from MIT's Media Lab and Robert Frank and David Pizarro from Cornell University have figured out the answer - observing a person's non-verbal cues.

They say that nonverbal cues can offer a look into a person's likely actions. This concept has been known for years, but the cues that convey trustworthiness or untrustworthiness have remained a mystery

Collecting data from face-to-face conversations with research participants where money was on the line, DeSteno and his team realized that it's not one single non-verbal movement or cue that determines a person's trustworthiness, but rather sets of cues.

"Scientists haven't been able to unlock the cues to trust because they've been going about it the wrong way," DeSteno said. "There's no one golden-cue. Context and coordination of movements is what matters."

People are fidgety – they're moving all the time. So how could the team truly zero-in on the cues that mattered? This is where Nexi comes in. Nexi is a humanoid social robot that afforded the team an important benefit – they could control all its movements perfectly.

In a second experiment, the team had research participants converse with Nexi for 10 minutes, much like they did with another person in the first experiment.

While conversing with the participants, Nexi — operated remotely by researchers — either expressed cues that were considered less than trustworthy or expressed similar, but non-trust-related cues.

Confirming their theory, the team found that participants exposed to Nexi's untrustworthy cues intuited that Nexi was likely to cheat them and adjusted their financial decisions accordingly.

"Certain nonverbal gestures trigger emotional reactions we're not consciously aware of, and these reactions are enormously important for understanding how interpersonal relationships develop," said Frank.

"The fact that a robot can trigger the same reactions confirms the mechanistic nature of many of the forces that influence human interaction."

This discovery has led the research team to not only answer enduring questions about if and how people are able to assess the trustworthiness of an unknown person, but also to show the human mind's willingness to ascribe trust-related intentions to technological entities based on the same movements.

"This is a very exciting result that showcases how social robots can be used to gain important insights about human behavior," said Cynthia Breazeal of MIT's Media Lab.

"This also has fascinating implications for the design of future robots that interact and work alongside people as partners."

The study was recently published in the journal Psychological Science, a journal of the Association for Psychological Science.





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