Methods, systems and point of use apparatus that utilize unexpected questions combined with the analysis of interactions with input devices may efficiently spot participants with faked identities without the need for any prior information on the examinee. While truth-tellers respond automatically to unexpected questions, liars have to “build” and verify their responses. This lack of automaticity is reflected in the interactions a user has with one or more computer input devices, such as keyboard or mouse, and the movements made when using that input device to provide the responses as well as in the number of errors made in those responses. By analyzing the interactions with the input devices and response errors on unexpected questions, systems and methods in accordance with the present disclosure are able to efficiently distinguish liars from truth-tellers. These systems and methods even allow for the identification of liars even when they are responding truthfully.
METHODS AND SYSTEMS FOR DETECTION OF FAKED IDENTITY USING UNEXPECTED QUESTIONS AND COMPUTER INPUT DYNAMICS