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: 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: 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: 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: 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: 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: Systems and computer program products for providing usability predictions are set forth herein. A system includes a test case collector for obtaining test cases for analyzing usability of a graphical user interface of a given software application, the test case collector having at least a memory storing the test cases. The system further includes a human performance model generator for automatically generating a human performance model based on the test cases. The system also includes a usability predictor for generating the usability predictions based on the human performance model. The test case collector automatically generates at least some of the test cases from an analysis of the given software application.

Abstract: Methods of providing usability predictions are set forth herein. A method includes obtaining test cases for analyzing usability of a graphical user interface of a given software application. The method further includes automatically generating, using a processor, a human performance model based on the test cases. The method also includes generating the usability predictions based on the human performance model. At least some of the test cases are generated automatically from an analysis of the given software application.

Abstract: A system and method for evaluating interfaces includes computing a reference script for a task from a reference interface design and translating the reference script into one or more target action scripts based on a target design. The one or more target action scripts on the target design are executed to produce target metrics. The target metrics are compared to determine whether the target action script successfully translates the reference script.

Abstract: Methods of providing usability predictions are set forth herein. A method includes obtaining test cases for analyzing usability of a graphical user interface of a given software application. The method further includes automatically generating, using a processor, a human performance model based on the test cases. The method also includes generating the usability predictions based on the human performance model. At least some of the test cases are generated automatically from an analysis of the given software application.

Abstract: Systems and computer program products for providing usability predictions are set forth herein. A system includes a test case collector for obtaining test cases for analyzing usability of a graphical user interface of a given software application, the test case collector having at least a memory storing the test cases. The system further includes a human performance model generator for automatically generating a human performance model based on the test cases. The system also includes a usability predictor for generating the usability predictions based on the human performance model. The test case collector automatically generates at least some of the test cases from an analysis of the given software application.

Abstract: A system and method for evaluating interfaces includes computing a reference script for a task from a reference interface design and translating the reference script into one or more target action scripts based on a target design. The one or more target action scripts on the target design are executed to produce target metrics. The target metrics are compared to determine whether the target action script successfully translates the reference script.