A recent journal article from PLOS University in Italy examined detecting lies through indicators in mouse movement. Authors Merylin Monaro, Luciano Gamberini, & Giuseppe Sartori collaborated on the paper entitled “The detection of faked identity using unexpected questions and mouse dynamics” (May 18, 2017). 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,… Read More
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