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Trusting a Stranger May Be a Case of Deja Vu

By Robert Preidt

MONDAY, Jan. 29, 2018 (HealthDay News) -- Whether you trust a stranger may depend on how much they look like an old friend, a new study suggests.

In a series of experiments, New York University researchers found that study participants were more likely to pick photos of strangers who resembled honest people they had met in an earlier experiment than photos of strangers who reminded them of dishonest people they'd encountered in an earlier game.

"We make decisions about a stranger's reputation without any direct or explicit information about them based on their similarity to others we've encountered, even when we're unaware of this resemblance," said study senior author Elizabeth Phelps. She's a professor in NYU's department of psychology.

"This shows our brains deploy a learning mechanism in which moral information encoded from past experiences guides future choices," she added in a university news release.

The research, which was led by Oriel FeldmanHall, as a post-doctoral fellow at NYU, was published Jan. 29 in the Proceedings of the National Academy of Sciences.

"Our study reveals that strangers are distrusted even when they only minimally resemble someone previously associated with immoral behavior," FeldmanHall said.

"Like Pavlov's dog, who, despite being conditioned on a single bell, continues to salivate to bells that have similar tones, we use information about a person's moral character -- in this case whether they can be trusted -- as a basic Pavlovian learning mechanism in order to make judgments about strangers," she explained.

FeldmanHall is now an assistant professor in Brown University's department of cognitive, linguistic, and psychological sciences.

The study was funded by the U.S. National Institute on Aging.

More information

Helpguide.org offers advice on meeting new people and making friends.

SOURCES: New York University, news release, Jan. 29, 2018

Copyright © 2018 HealthDay. All rights reserved. URL:http://consumer.healthday.com/Article.asp?AID=730604

Resources from HONselect: HONselect is the HON's medical search engine. It retrieves scientific articles, images, conferences and web sites on the selected subject.
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