Abstract: A method for determining whether a user is a human is disclosed. The method includes receiving a request to determine whether a user attempting to access a service provided by a host compute device is a human, obtaining an input motion that the user entered while the user solved a challenge-response test for accessing the service, extracting a noise component of the input motion, retrieving a noise model characterizing noise patterns of input motions previously entered into graphical user interfaces by humans, comparing the noise component with the noise model, calculating a human likeness score of the user based on the comparison, determining whether the user is a human based on the human likeness score, and sending a result of the determination to the host compute device such that the host compute device can allow or restrict access to the service by the user depending on the result.

Abstract: A method for determining whether a user is a human is disclosed. The method includes receiving a request to determine whether a user attempting to access a service provided by a host compute device is a human, obtaining an input motion that the user entered while the user solved a challenge-response test for accessing the service, extracting a noise component of the input motion, retrieving a noise model characterizing noise patterns of input motions previously entered into graphical user interfaces by humans, comparing the noise component with the noise model, calculating a human likeness score of the user based on the comparison, determining whether the user is a human based on the human likeness score, and sending a result of the determination to the host compute device such that the host compute device can allow or restrict access to the service by the user depending on the result.

Abstract: One embodiment of the invention is a method utilizing a CAPTCHA to generate a human likeness score including blocks: a) receiving a user solution to the CAPTCHA; b) receiving a user interaction pattern descriptive of an interaction undertaken by the user, through a graphical interface of the CAPTCHA, to achieve the user solution; c) determining the accuracy of the user solution; d) comparing the user interaction pattern against an interaction model generated from interaction patterns of previous users; e) calculating the human likeness score based upon the determination of block c) and the comparison of block d), wherein the human likeness score lies within a continuum of human likeness scores.

Abstract: One embodiment of the invention is a method utilizing a CAPTCHA to generate a human likeness score including blocks: a) receiving a user solution to the CAPTCHA; b) receiving a user interaction pattern descriptive of an interaction undertaken by the user, through a graphical interface of the CAPTCHA, to achieve the user solution; c) determining the accuracy of the user solution; d) comparing the user interaction pattern against an interaction model generated from interaction patterns of previous users; e) calculating the human likeness score based upon the determination of block c) and the comparison of block d), wherein the human likeness score lies within a continuum of human likeness scores.

Abstract: One embodiment of the invention is a method utilizing a CAPTCHA to generate a human likeness score including blocks: a) receiving a user solution to the CAPTCHA; b) receiving a user interaction pattern descriptive of an interaction undertaken by the user, through a graphical interface of the CAPTCHA, to achieve the user solution; c) determining the accuracy of the user solution; d) comparing the user interaction pattern against an interaction model generated from interaction patterns of previous users; e) calculating the human likeness score based upon the determination of block c) and the comparison of block d), wherein the human likeness score lies within a continuum of human likeness scores.

Abstract: One embodiment of the invention is a method utilizing a CAPTCHA to generate a human likeness score including blocks: a) receiving a user solution to the CAPTCHA; b) receiving a user interaction pattern descriptive of an interaction undertaken by the user, through a graphical interface of the CAPTCHA, to achieve the user solution; c) determining the accuracy of the user solution; d) comparing the user interaction pattern against an interaction model generated from interaction patterns of previous users; e) calculating the human likeness score based upon the determination of block c) and the comparison of block d), wherein the human likeness score lies within a continuum of human likeness scores.

Abstract: One embodiment of the invention is a method utilizing a CAPTCHA to generate a human likeness score including blocks: a) receiving a user solution to the CAPTCHA; b) receiving a user interaction pattern descriptive of an interaction undertaken by the user, through a graphical interface of the CAPTCHA, to achieve the user solution; c) determining the accuracy of the user solution; d) comparing the user interaction pattern against an interaction model generated from interaction patterns of previous users; e) calculating the human likeness score based upon the determination of block c) and the comparison of block d), wherein the human likeness score lies within a continuum of human likeness scores.