Summary: Artificial intelligence can tell by how you use your mouse
Can someone help me to make the writing more natural? Thanks
Every year, many people have their identities stolen online. Nowadays, Unlike the traditional methods including face to face interviews, researchers can use just a few clicks of a mouse to detect the remote fraud. For example, Italian researchers designed an experiment containing simple yes-or-no questions and some unexpected questions related to the person, and asked some volunteers to memory the fake information.
Testers who were imposters would need more response time based on the unexpected questions. Also, because of this unexpected questions adding to the machine learning, the accuracy of detecting the truth can increase from 77.5~85% to 90~95%.
According to Giorgio Ganis, a cognitive neuroscientist, in the real world, people can apply this concept to the first check in a criminal investigation, verify identities online and cull terrorists from refugees.
However, he also states that it’s not a useful tool to catch criminals. Smart criminals may spend a lot of time getting the detail of the victims, making the surprising questions harder to find.
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Corrections · 3
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Summary: Artificial intelligence can tell by how you use your mouse
Can someone help me to make the writing more natural? ThanksEvery year, many people have their identities stolen online. Nowadays, Uunlike the traditional methods including face to face interviews and polygraphs, researchers can use just a few clicks of a mouse to remotely detect the remote fraud. For example, Italian researchers designed an experiment containing simple yes-or-no questions. They included and some unexpected questions related to the person, and asked some volunteers to memoryise the fake information.
Testers who were imposters would need more response time based on for the unexpected questions. Also, because of this unexpected questions adding to the machine learning, the accuracy of detecting the truth can increase from 77.5~85% to 90~95%.
According to Giorgio Ganis, a cognitive neuroscientist, in the real world, people can apply this concept to the first check in a criminal investigation, verify identities online and cull terrorists from refugees.
However, he also states that it’s not a useful tool to catch criminals. Smart criminals may spend a lot of time getting the detail of the victims, making the surprising questions harder to find.
I'm not sure about the machine learning, and the increase in accuracy. An example or two would help - eg add at end. "The unexpected questions could relate to zodiac sign. An imposter would have learnt the birthdate, but not necessarily the zodiac sign. But a smart criminal could have studied their victim more and be harder to catch out.
Overall - well written.
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I'll have a go at editing. I'm not sure what you mean for a couple of things, but I think I can find the research online to check.
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