Abstract: A request for authentication from a user of a computer system is received. An authentication prompt is transmitted to the user, wherein the authentication prompt corresponds to a plurality of stored authentication responses, and wherein each of the plurality of stored authentication responses is used to authenticate the user. A first user authentication response is received. Whether to accept the first user authentication response based on a degree of similarity between the first user authentication response is determined and a stored authentication response from the plurality of stored authentication responses. Responsive to accepting the first user authentication response, a security score is calculated representing a level of confidence with respect to verifying the user for authentication, based on a type of authentication response for the first user authentication response. Responsive to determining that the security score is greater than an authentication score the user is authenticated.

Abstract: Dynamic risk communication associated with a computer device may include automatically detecting one or more security risk factors for the computer device based on current context information associated with the computer device. Whether an attempt is being made via the computer device to manipulate the one or more risk factors in an attempt to reduce a security level of a computer-implemented authentication procedure may be determined. Responsive to determining that the attempt is being made to manipulate the one or more risk factors, a new challenge for additional identification may be communicated for presentation on a user interface device of the computer device while suppressing one or more security risk factors from being presented on the user interface device. Responsive to determining that an attempt is not being made to manipulate the one or more risk factors, the new challenge and one or more security risk factors may be communicated.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: A request for authentication from a user of a computer system is received. An authentication prompt is transmitted to the user, wherein the authentication prompt corresponds to a plurality of stored authentication responses, and wherein each of the plurality of stored authentication responses is used to authenticate the user. A first user authentication response is received. Whether to accept the first user authentication response based on a degree of similarity between the first user authentication response is determined and a stored authentication response from the plurality of stored authentication responses. Responsive to accepting the first user authentication response, a security score is calculated representing a level of confidence with respect to verifying the user for authentication, based on a type of authentication response for the first user authentication response. Responsive to determining that the security score is greater than an authentication score the user is authenticated.

Abstract: Systems and methods are provided for post-hoc correction of calibration errors in eye tracking data, which take into consideration calibration errors that result from changes in user position during a user session in which the user's fixations on a display screen are captured and recorded by an eye tracking system, and which take into consideration errors that occur when the user looks away from a displayed target item before selecting the target item.

Abstract: Dynamic risk communication associated with a computer device may include automatically detecting one or more security risk factors for the computer device based on current context information associated with the computer device. Whether an attempt is being made via the computer device to manipulate the one or more risk factors in an attempt to reduce a security level of a computer-implemented authentication procedure may be determined. Responsive to determining that the attempt is being made to manipulate the one or more risk factors, a new challenge for additional identification may be communicated for presentation on a user interface device of the computer device while suppressing one or more security risk factors from being presented on the user interface device. Responsive to determining that an attempt is not being made to manipulate the one or more risk factors, the new challenge and one or more security risk factors may be communicated.

Abstract: Dynamic risk communication associated with a computer device may include automatically detecting one or more security risk factors for the computer device based on current context information associated with the computer device. Whether an attempt is being made via the computer device to manipulate the one or more risk factors in an attempt to reduce a security level of a computer-implemented authentication procedure may be determined. Responsive to determining that the attempt is being made to manipulate the one or more risk factors, a new challenge for additional identification may be communicated for presentation on a user interface device of the computer device while suppressing one or more security risk factors from being presented on the user interface device. Responsive to determining that an attempt is not being made to manipulate the one or more risk factors, the new challenge and one or more security risk factors may be communicated.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Dynamic risk communication associated with a computer device may include automatically detecting one or more security risk factors for the computer device based on current context information associated with the computer device. Whether an attempt is being made via the computer device to manipulate the one or more risk factors in an attempt to reduce a security level of a computer-implemented authentication procedure may be determined. Responsive to determining that the attempt is being made to manipulate the one or more risk factors, a new challenge for additional identification may be communicated for presentation on a user interface device of the computer device while suppressing one or more security risk factors from being presented on the user interface device. Responsive to determining that an attempt is not being made to manipulate the one or more risk factors, the new challenge and one or more security risk factors may be communicated.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: A method and system for providing viewing angle sensitive graphics on an electronic device which detects a user viewing a display of an electronic device. The display has a plurality of items displayed for selection by the user, and the display defines a sensitive area including one or more of the plurality of items. A viewing angle of the user is determined based on a facial recognition technique. The sensitive area is adjusted based on the viewing angle, which can include moving the viewing angle, or adjusting a selection by the user from a first item to a second item based on the viewing angle.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: At least two camera lenses on a mobile may be provided. The camera lenses may be configured to face the same or substantially the same direction, at least one of the two camera lenses positioned along one edge of the mobile device and at least another one of the two camera lenses positioned along another edge. Automatic selection of a camera lens among said at least two camera lenses for activation may be enabled based on detecting the current orientation of the mobile device.

Abstract: Systems and methods are provided for post-hoc correction of calibration errors in eye tracking data, which take into consideration calibration errors that result from changes in user position during a user session in which the user's fixations on a display screen are captured and recorded by an eye tracking system, and which take into consideration errors that occur when the user looks away from a displayed target item before selecting the target item.

Abstract: Mechanisms are provided for generating a shape tag cloud display. A user input is received that specifies an arbitrarily hand-drawn shape tag. A set of shape tag equivalence classes is updated based on the received user input to assign the arbitrarily hand-drawn shape tag to a shape tag equivalence class having similar previously entered arbitrarily hand-drawn shape tags. Rankings of the shape tags relative to one another are generated. The shape tag cloud display is generated based on the rankings. A representation of each shape tag within the shape tag cloud display has display characteristics based on the rankings. The shape tag cloud display is then output.

Abstract: Mechanisms are provided for generating a shape tag cloud display. A user input is received that specifies an arbitrarily hand-drawn shape tag. A set of shape tag equivalence classes is updated based on the received user input to assign the arbitrarily hand-drawn shape tag to a shape tag equivalence class having similar previously entered arbitrarily hand-drawn shape tags. Rankings of the shape tags relative to one another are generated. The shape tag cloud display is generated based on the rankings. A representation of each shape tag within the shape tag cloud display has display characteristics based on the rankings. The shape tag cloud display is then output.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.