This application relates to a method of constructing a training program for improving symptoms of a mild cognitive impairment patient. In one aspect, the method includes arranging, on designated days, direct training algorithms regarding at least one of visualization, fusion, or semantic word fluency directly related to a cognitive function area and controlling the arranged direct training algorithms to be output to a user terminal according to the designated days, and receiving a result value from the user terminal. The method may also include calculating an achievement level for each direct training algorithm, based on the result value, and determining one of the direct training algorithms based on the calculated achievement level. The method may further include rearranging the direct training algorithms, together with the determined direct training algorithm based on both the calculated achievement level and a training algorithm matched to the determined direct training algorithm.

In one aspect, A computerized method for implementing a virtualized training session user interface (UI) with respect to a production software UI includes the step of providing a production software application. The method includes displaying a guide on a production software UI. A workflow and a tutorial content of the guide is determined dynamically using one or more specified machine-learning algorithms. The method includes displaying the guide as a set of images with a virtual lab placed on top of each image of the guide. The method includes receiving a user input comprising a learning-related data inside a virtual environment of the guide.

Systems and methods are disclosed for analysis of user behavior data to improve security awareness. User behavior data of an organization is received from one or more agents on endpoint devices accessed by the users and using the user behavior data, one or more risk scores representative of the severity of risk associated with the user behavior of the users are determined. Based on the one or more risk scores representative of the severity of risk associated with the user behavior of the users, the behavior of the is determined to pose a security risk to the organization, In response to the determination that the user behavior of the users of the organization poses a security risk to the organization, electronic security awareness training is delivered to the users.

Apparatus and methods for proactively and preemptively communicating with a user interacting with a software application are provided. The apparatus and methods may include an artificial intelligence/machine learning communication engine monitoring and tracking a user's interactions. The apparatus and methods may include the communication engine determining if the user requires further training, if the interaction is fraudulent, and pre-empting requests for information the user may commence. The apparatus and methods may include the communication engine creating and displaying training materials for the user to complete, revoking access if fraud is present, and proactively providing information before the user requests the information.

A method is implemented by a computing device for helping a particular user use a user interface (UI). Electroencephalography (EEG) data is obtained that indicates brain activity of a particular user during a period in which that user views the UI and/or interprets help information that describes how to use the UI. Based on the EEG data, the computing device selects, from among multiple predefined cognitive states, the one or more cognitive states that characterize the particular user during the period. The computing device assists the particular user to use the UI by customizing the help information for the particular user based on the one or more selected cognitive states. A complementary computing device and computer program product are also disclosed.

Described herein are improved systems and methods for overcoming technical problems associated with limited collaborative learning functionality in educational programming platforms.

This application relates to a method of constructing a training program for improving symptoms of a mild cognitive impairment patient. In one aspect, the method includes arranging, on designated days, direct training algorithms regarding at least one of visualization, fusion, or semantic word fluency directly related to a cognitive function area and controlling the arranged direct training algorithms to be output to a user terminal according to the designated days, and receiving a result value from the user terminal. The method may also include calculating an achievement level for each direct training algorithm, based on the result value, and determining one of the direct training algorithms based on the calculated achievement level. The method may further include rearranging the direct training algorithms, together with the determined direct training algorithm based on both the calculated achievement level and a training algorithm matched to the determined direct training algorithm.

Techniques are disclosed relating to generating a user interface (UI) migration plan, including intermediate UIs, for migrating from a current UI to a new UI. A computer system may receive information specifying a current UI and a new UI, and identify one or more differences between the current and the new UIs. Based on the differences, the computer system may generate information specifying one or more candidate intermediate UIs. The computer system may score the candidate intermediate UIs relative to a specified set of design criteria. The computer system may determine a UI migration plan that specifies a set of the one or more candidate intermediate UIs that are displayable in order to migrate from the current UI to the new UI, where the set of one or more intermediate UIs is selected based on the scoring. Use of the UI migration plan may advantageously reduce user interaction issues.

The present disclosure provides a new and innovative system for sport design, tracking, and sharing. The system includes a set of wireless components in communication with a computing system. The computing system may include a graphical user interface, and at least in some instances, communicates over a network with an external system such as a social media platform. Through the graphical interface, a user may program rules to a sport into the wireless components. The user or users may perform the sport with the programmed wireless components, which analyze the actions performed according to the programmed rules. The analysis and other data collected by the wireless components may be reviewed by the users after playing the sport. Furthermore, the data collected and the rules programmed into the wireless components may be shared online to the external system for rating and ranking by an online community.

A modular electro-mechanical agent having a plurality of modules including mechanical and electrical components, that can be constructed to complete at least one pre-determined task and/or contribute in performing the at least one pre-determined task. The electro-mechanical agent can include extension modules and can be altered as per user preference to add, eliminate or modify any features of the agent for completing and/or participating in a plurality of pre-determined tasks.