Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: A computer-implemented method for inferring or estimating user-related data for use with tax preparation software is disclosed. The method uses a computer that connects to the one or more remotely located data sources and executing a data capture utility, the data capture utility capturing at least some tax data pertaining to the user. The computing device executes an estimation module that receives the captured tax data pertaining to the user and generates one or more estimates and stores the one or more estimates in a data store associated with the tax preparation software, the data store configured to store user-specific tax data therein. The computing device executes a tax calculation engine of the tax preparation software configured to read the user-specific tax data contained in the data store and compute an intermediate or final tax liability or refund amount.

Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: Techniques are disclosed for determining application experience of a user. One embodiment presented herein includes a computer-implemented method, which includes receiving, at a computing device, eye tracking data of a user interacting with at least a first page of an application. The computer-implemented method further includes determining, based at least on the eye tracking data, at least a current user experience regarding the first page. The computer-implemented method further includes predicting, based on evaluating the current user experience, that the user is likely to discontinue use of the application. The computer-implemented method further includes determining, based at least on the prediction, an intervention that reduces a likelihood of the user discontinuing use of the application, and interacting with the user according to the intervention.

Abstract: A computer-implemented method for acquiring benefits qualification data includes obtaining a profile corresponding to the individual. The method also includes forming respective sets of unanswered questions in each completeness graph in a set of completeness graphs by running the profile against each completeness graph. The method further includes forming a union set of unanswered questions in the set of completeness graphs from the respective sets of unanswered questions in each completeness graph. Moreover, the method includes identifying a high priority unanswered question in the union set of unanswered questions using a prioritization algorithm. Each completeness graph corresponds to a respective benefit program.

Abstract: A computing platform identifies one or more characteristics of a user accessing application software or a software service via a user interface and a field to be filled or completed in the user interface of the application software or a software service. The computing platform further determines and presents, at one or more automatic fill or completion modules that are stored at least partially in memory and function in tandem with one or more computer processors in the computing platform, a list of one or more completion candidates in the user interface of the application software or a software service at least by performing one or more incremental searches based in part or in whole upon the one or more characteristics. The field is then populated with a completion candidate from the list of one or more completion candidates.

Abstract: A computer-implemented method for generating an explanation for a benefit qualification status change over different benefit qualification periods includes a computing device executing a benefit calculation engine. The benefit calculation engine operates on first and second benefit completeness graphs from respective first and second benefit qualification periods to perform first and second benefit qualification status determination. The first and second benefit completeness graphs each describe data dependent benefit qualification operations including a plurality of interconnecting functional nodes connected by one of a plurality of functions. The method also includes the computing device identifying the differences among nodes within the first benefit completeness graph and the second benefit completeness graph.

Abstract: A computer-implemented method for providing a notice regarding a benefit qualification status change includes receiving a change in a qualification requirement for a benefit program. The method also includes obtaining a completeness graph corresponding to the benefit program. The method further includes modifying the completeness graph based on the received change in the qualification requirement for the benefit program. Moreover, the method includes obtaining a profile corresponding to an individual. In addition, the method includes obtaining a first qualification status relating to the individual's qualification for the benefit program before the received change in the qualification requirement for the benefit program. The method also includes determining a second qualification status by running the profile against the modified completeness graph.

Abstract: A system for explaining added tax questions resulting from modified tax data for an electronic tax return preparation program includes a computing device having a completeness graph engine, an explanation engine, and a user interface controller. The computing device executes the completeness graph engine, which takes a first snapshot of input needs for a completeness graph corresponding to a tax topic, takes a second snapshot of input needs for the completeness graph corresponding to the tax topic after receiving modified tax data, and compares the first and second snapshots to identify an added variable in the completeness graph. An explanation engine analyzes the completeness graph and the modified tax data to generate an explanation asset for the added variable. A user interface controller generates a tax question corresponding to the added variable. The computing device presents the tax question and the explanation asset to a user.

Abstract: Systems, methods and articles of manufacture for preparing a tax return in which tax questions may be generated and presented to a user in an ad hoc manner. A tax system includes a computing device executing a tax program. The tax program can display a plurality of user interface presentations, such as interview or question screens, with tax questions asking the user to provide tax data related to a taxpayer for preparing a tax return for the taxpayer. The tax program allows the user to skip a tax question on a user interface presentation, and proceed with subsequent user interface presentations. When the tax program determines that a response to the skipped tax questions is required, the tax program dynamically generates a skipped tax question user interface presentation with the skipped tax question and presents it to the user.

Abstract: A computer-implemented method for gathering user-related tax data for use with tax preparation software includes a computing device executing a data capture utility configured to connect to one or more remotely located data sources, wherein the data capture utility captures user-specific tax data from the one or more remotely located data sources and stores the captured data in a data store. The computing device executes a tax logic engine configured to read data from the data store and determine the completeness of the data contained within the data store. The computing device communicates a message to the user regarding the level of completeness of the data contained within the data store.

Abstract: The disclosed embodiments provide a system that facilitates application usage. During operation, the system obtains a user context associated with a first user, wherein the user context includes at least one of a location of the first user, profile data for the first user, device data associated with a computing device for the first user, and data types associated with existing applications on the computing device. Next, the system obtains a first set of new applications matching the user context. Finally, the system provides the first set of new applications to the first user for installation and use by the first user.

Abstract: A computer-implemented method for gathering user-related tax data for use with tax preparation software includes a computing device executing a data capture utility configured to connect to one or more remotely located data sources, wherein the data capture utility captures user-specific tax data from the one or more remotely located data sources and stores the captured data in a data store. The computing device executes a tax logic engine configured to read data from the data store and determine the completeness of the data contained within the data store. The computing device communicates a message to the user regarding the level of completeness of the data contained within the data store.

Abstract: A method of predicting the strength characteristics of a composite laminate may include loading a structural model of a composite laminate formed of a material system. The method may additionally include comparing strain invariants from loading the composite laminate to critical strain invariant values of the material system. The method may also include identifying as a first significant event (FSE) a strain invariant of the matrix and/or the fibers reaching a critical strain invariant value.

Abstract: A system for explaining added tax questions resulting from modified tax data for an electronic tax return preparation program includes a computing device having a completeness graph engine, an explanation engine, and a user interface controller. The computing device executes the completeness graph engine, which takes a first snapshot of input needs for a completeness graph corresponding to a tax topic, takes a second snapshot of input needs for the completeness graph corresponding to the tax topic after receiving modified tax data, and compares the first and second snapshots to identify an added variable in the completeness graph. An explanation engine analyzes the completeness graph and the modified tax data to generate an explanation asset for the added variable. A user interface controller generates a tax question corresponding to the added variable. The computing device presents the tax question and the explanation asset to a user.

Abstract: A system for explaining tax questions for an electronic tax return preparation program includes a computing device having a tax logic agent and a user interface controller. The computing device executes the tax logic agent, which analyzes a completeness graph to identify a required variable. The tax logic agent also determines whether an explanation asset is indexed to the required variable in the completeness graph, and sends an identity of the required variable to a user interface controller. The user interface controller generates a tax question corresponding to the required variable. When the tax logic agent determines that an explanation asset is indexed to the required variable in the completeness graph, the computing device presents the tax question and the explanation asset. When an explanation asset is not indexed to the required variable in the completeness graph, the computing device presents the tax question without the explanation asset.

Abstract: A computing platform identifies one or more characteristics of a user accessing application software or a software service via a user interface and a field to be filled or completed in the user interface of the application software or a software service. The computing platform further determines and presents, at one or more automatic fill or completion modules that are stored at least partially in memory and function in tandem with one or more computer processors in the computing platform, a list of one or more completion candidates in the user interface of the application software or a software service at least by performing one or more incremental searches based in part or in whole upon the one or more characteristics. The field is then populated with a completion candidate from the list of one or more completion candidates.

Abstract: A composite structure having a base charge and an outer channel charge is provided. The outer channel charge has an inner radius and an outer radius. A charge of plies adjacent to the inner radius reduces the inner radius.

Abstract: There is provided in an embodiment a method of making a composite structure. The method includes the step of applying chopped fiber material in varying thicknesses onto a first ply surface of a first composite charge to form a layered composite charge. The method further includes the step of folding the layered composite charge. The method further includes the step of assembling a second composite charge and the folded layered composite charge to form a composite structure. The chopped fiber material forms a gap filler in the composite structure. The gap filler conforms to a shape of the composite structure surrounding the gap filler. The method further includes processing the composite structure.