Researchers Have Found a Way To Root Out Identity Thieves By Analyzing Their Mouse Movements With AI (qz.com)
An anonymous reader shares an article: In the study, published recently in PLoS One, the researchers quizzed 40 respondents about their personal details. Half of the respondents were asked to answer the questions truthfully, but the other half were given details about fake identities they had to memorize and use in the quiz.
The computer quiz kept track of the movement of each respondent's mouse as they answered the questions, and noted how the fakes differed from the truth-tellers when they moved the cursor from the bottom of the screen to the answers at the top. The quiz consisted of 12 questions like, "Do you live in Padua?" and "Are you Italian?" That covered details an identity thief could easily remember and answer, but then the quiz threw them a curve ball. "What is your zodiac sign," it asked in the second series of 12 questions, which were designed to be easy for the genuine respondents, but more difficult for the fakers to work out. After the researchers took the mouse-movement data collected from the quizzes and trained a machine-learning algorithm to analyze it, they found that was indeed the case. It was able to discern the fake responses from the real ones 95% of the time.
I have no fucking clue what my zodiac sign is, I'd have to look that crap up. I'm not just not into fairy tales for adults.
I respond .... "Neon".
Agent K: A *person* is smart. People are dumb, stupid, panicky animals, and you know it.
Are they even trying anymore ? It sounds more and more that the way to research work is 1) gather shit data, 2) feed any combination to it to neural net, 3) look for correlation, 4) repeat if nothing interesting, 5) publish. At this point, they might as well rename AI for AR, as in Artificial Research...
By itself, this study just shows that a machine learning algorithm can compute a statistical average (regarding mouse movements) that classifies a specific set of 40 people into two groups.
If the same statistical average also classifies other groups of people accurately, then you can make real claims about separating truth-tellers and liars.
See this good explanation of pattern classification and its uses and misuses.
Why would there be a test for pedophilia? Is that for use in a clinical setting? I know some issues are ... tricky for people to deal with. Self-denial and all. I'm not 100% certain how detection is helpful, though, considering a person who is aware of some issue and willing to accept the potential shouldn't have trouble introspecting and identifying that they maybe are kind-of bisexual or whatever it is they're choking on.
I'd imagine test for pedophilia would be ... problematic in other situations. Huge invasion of privacy, at least here in the U.S.. We can't take legal action against someone who hasn't taken actual criminal action (no thought-crime), and discrimination against a person for such a diagnostic result would be devastating. We have legal protections for discrimination and privacy invasion if you're gay or something.
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