Abstract: Systems and methods of analyzing user feedback in response to a cognition training program, including training at least one machine learning algorithm with a predefined dataset to predict a training success rate, wherein the pre-defined dataset includes previously received user feedback for users with known characteristics, receiving new user feedback, and determining a prediction of the Database training success rate with the at least one machine learning algorithm based on the received new user feedback.

Abstract: There is disclosed method and system for authenticating user in authentication system comprising verifier and authentication device configured such that verifier and device comprise secret. A first voice sample of user recorded in verifier. Authentication information is generated in device. The device configured such that information generated is dynamic information based on secret. The information generated in device presented to user. An input signal received in verifier comprising a second voice sample of user and response by user to information. The input signal received in verifier in response to user responding to information by voicing response to information. The first and second samples compared in verifier. The information generated by device and response by user to information compared in verifier. An authentication result generated in verifier based on comparison of first and second samples and comparison of information and response. The result used for authenticating user.