Mouse movements can be used to determine if you're lying

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Your mouse knows when you're lying

Your mouse movements could save you from identity thieves
Researchers in Italy say they've developed a machine learning algorithm that knows when people are lying online.

It's like a lie detector for your mouse.

Mouse movements have already been catching lies for a while now -- but mostly machine-generated falsehoods. Years back, researchers discovered ways to detect robots online based on how quickly they click. In 2014, Google started using a similar feature for the "I Am Not a Robot" test. If a mouse moves too quickly and unnaturally when clicking on the box, the clicker is apparently not human.

Now researchers are learning how to use mouse movements to catch humans who are lying. In a study published in the journal PLOS One last month, Italian researchers looked at how people move their cursors when they are telling the truth and when they are lying.

This could be helpful considering that identity thieves are always lying when they answer security questions like "what's your favorite band?" or "what city you were born in?" -- details that can easily be gathered in social engineering attacks.

The study gave 32 questions to 40 people, about half of whom were asked to lie with fake information they memorized. Some of the questions were obvious like birth dates, but others needed a bit of thinking to keep the lies going, such as naming their zodiac sign.

Curveball questions had an effect on how liars moved their cursors. They would start moving their mouse all over the place, the researchers found. For people answering truthfully, mouse movements did not change and followed a straight trajectory.

"Truth-tellers are supposed to be able to retrieve the responses about their true zodiac more automatically than liars, therefore, their response is expected to be more rapid, with less errors and characterized by a more direct mouse trajectory," the study said.

Using that data, researchers built a machine learning algorithm that could accurately detect 95 percent of the time when people were lying online based solely on their mouse movements.

But mouse lie detection can't sniff out identity thieves on its own. The unexpected questions apparently play a big role in outing liars with their cursor movements, which could end up as a new verification method.

"Unexpected questions require answers to be carefully crafted and this may be a limitation of online automatic usage of the technique," the researchers said.
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Link to the actual study:
The detection of faked identity using unexpected questions and mouse dynamics

Abstract

The detection of faked identities is a major problem in security. Current memory-detection techniques cannot be used as they require prior knowledge of the respondent’s true identity. Here, we report a novel technique for detecting faked identities based on the use of unexpected questions that may be used to check the respondent identity without any prior autobiographical information. While truth-tellers respond automatically to unexpected questions, liars have to “build” and verify their responses. This lack of automaticity is reflected in the mouse movements used to record the responses as well as in the number of errors. Responses to unexpected questions are compared to responses to expected and control questions (i.e., questions to which a liar also must respond truthfully). Parameters that encode mouse movement were analyzed using machine learning classifiers and the results indicate that the mouse trajectories and errors on unexpected questions efficiently distinguish liars from truth-tellers. Furthermore, we showed that liars may be identified also when they are responding truthfully. Unexpected questions combined with the analysis of mouse movement may efficiently spot participants with faked identities without the need for any prior information on the examinee.
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GnauzBookOfRhymes said:
Studying online behavior/psychology is so interesting. I was talking with a programmer about website analytics etc and he showed me how he is able to track mouse/cursor movements when visitors are on his page.

Had me like :jbhmm:
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Oh yea. It's crazy. People don't actively realize how much information is being tracked. Even the most innocuous of things tell us a lot about ourselves and others.
 
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Call Me James said:
Oh yea. It's crazy. People don't actively realize how much information is being tracked. Even the most innocuous of things tell us a lot about ourselves and others.
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Shyt was crazy. I'm glad each click wasn't able to be tracked to individual visitors since I always find myself clicking (and circling) on tittys :mjgrin:
 
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I'd like to see the patterns of mouse movements and clicks to see how they line up with users that stay claiming they aren't an alias of another alias or not. I'm sure the coli population would shrink by at least half with all the fakes around here.


I will say this though,
these types of studies are pretty fascinating and interesting.
 
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GnauzBookOfRhymes said:
Same district twice lmao

Pa. School Sued (Again) Over Webcam Spying
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:hhh:



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