Scientists create an algorithm that predicts who you will be attracted to

Scientists create an algorithm that predicts who you will be attracted to

Researchers have discovered a neural signature for expressing preferences in general, beyond interpersonal attraction. Through this discovery, they created an algorithm that predicts who you will be attracted to. Keep reading and find all the information!

Researchers have discovered a neural signature for expressing preferences in general, beyond interpersonal attraction. Through this discovery, they created an algorithm that predicts who you will be attracted to. Keep reading and find all the information!

Researchers at the University of Copenhagen have created a new interface system that detects whether or not someone is attracted to another person. The brain-computer was trained to capture the brain's neural activity when looking at a new person's face and is able to predict whether or not they will like it.

Researchers at the University of Copenhagen have created a new interface system that detects whether or not someone is attracted to another person.

The algorithm they have designed is able to determine whether the evaluated users will find attractive specific faces even before he or she sees them himself. According to a press release from the researchers, this technology could be used in a similar way to the list Netflix offers in recommendations or ads that are based on our track record.

In the study, those who have developed the algorithm claim that they have discovered a neural signature to express preferences in general, beyond interpersonal attraction. Tuukka Ruotsalo, the lead author of the study and a computer scientist at the university, has explained how it works:

"By comparing the brain activity of others, we have now also found that it is possible to predict faces that each participant would find attractive before seeing them. In this way, we can make reliable recommendations for users, just like streaming services suggest new movies or series based on user history".

The algorithm they have designed is able to determine whether the evaluated users will find attractive specific faces even before he or she sees them himself.

"Due to social norms or other factors, users may not reveal their real preferences through their online behavior," pointed out Michiel Spapé, the co-author of the research. Therefore, explicit behavior can be biased.

Faced with this, the study could offer the true attraction of users. Spapé has pointed out the following: "The brain signals that we investigated were picked up very early after seeing them, so they are more related to immediate impressions that are carefully considered behavior."

In a way, this invention would work like Tinder. However, instead of the user being the one swiping left or right, the algorithm would select the people you might be attracted to.

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