G09B19/18

EVALUATION SYSTEM AND EVALUATION METHOD

In an evaluation method according to one aspect of the present disclosure, an input voice signal is acquired from a microphone collecting voices in a business talk between a first speaker and a second speaker. A first voice component representing a voice of the first speaker and a second voice component representing a voice of the second speaker are separated in the input voice signal. In addition, a speech act of the first speaker is evaluated based on at least one of the first voice component and the second voice component.

USING CLOUD-BASED DATA FOR INDUSTRIAL AUTOMATION SYSTEM TRAINING

A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. The service employs a performance enhancement component that analyzes the data to facilitate determining correlations between certain user interactions and favorable performance of an industrial automation system, determining user interactions that are less favorable or unsafe, determining alternative actions that a user can take to achieve a same or similar preferred operational result, generating recommendations relating to the alternative actions, determining or designing components or techniques that can automate a preferred user action, determining improved user assignments in connection with the industrial automation system, and/or generating training modules or presentations based on preferred user actions that can be used to train users to more efficiently interact with an industrial automation system to achieve improved system performance.

USING CLOUD-BASED DATA FOR INDUSTRIAL AUTOMATION SYSTEM TRAINING

A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. The service employs a performance enhancement component that analyzes the data to facilitate determining correlations between certain user interactions and favorable performance of an industrial automation system, determining user interactions that are less favorable or unsafe, determining alternative actions that a user can take to achieve a same or similar preferred operational result, generating recommendations relating to the alternative actions, determining or designing components or techniques that can automate a preferred user action, determining improved user assignments in connection with the industrial automation system, and/or generating training modules or presentations based on preferred user actions that can be used to train users to more efficiently interact with an industrial automation system to achieve improved system performance.

Systems and methods for computerized interactive skill training

The present invention is directed to interactive training, and in particular, to methods and systems for computerized interactive skill training. An example embodiment provides a method and system for providing skill training using a computerized system. The computerized system receives a selection of a first training subject. Several related training components can be invoked, such as reading, watching, performing, and/or reviewing components. In addition, a scored challenge session is provided, wherein a training challenge is provided to a user via a terminal, optionally in video form.

Systems and methods for computerized interactive skill training

The present invention is directed to interactive training, and in particular, to methods and systems for computerized interactive skill training. An example embodiment provides a method and system for providing skill training using a computerized system. The computerized system receives a selection of a first training subject. Several related training components can be invoked, such as reading, watching, performing, and/or reviewing components. In addition, a scored challenge session is provided, wherein a training challenge is provided to a user via a terminal, optionally in video form.

Methods and systems for interactive data management

The processor(s) may be configured to electronically process a computer readable set of user data records to generate media consumption data. The processor(s) may be configured to electronically process the computer readable set of user data records to generate social media interaction data. In some implementations, the processor(s) may be configured to electronically process the computer readable set of user data records to generate gaming interaction data. In yet some implementations, the processor(s) may be configured to electronically process the media consumption data, the social media interaction data and the gaming interaction data with a quantum recommendation engine/module. In some implementations, the processor(s) may be configured to generating a computer readable user profile vector associated with at least one of the user data records.

Methods and systems for interactive data management

The processor(s) may be configured to electronically process a computer readable set of user data records to generate media consumption data. The processor(s) may be configured to electronically process the computer readable set of user data records to generate social media interaction data. In some implementations, the processor(s) may be configured to electronically process the computer readable set of user data records to generate gaming interaction data. In yet some implementations, the processor(s) may be configured to electronically process the media consumption data, the social media interaction data and the gaming interaction data with a quantum recommendation engine/module. In some implementations, the processor(s) may be configured to generating a computer readable user profile vector associated with at least one of the user data records.

SYSTEMS AND METHODS FOR COMPUTERIZED INTERACTIVE SKILL TRAINING
20220343228 · 2022-10-27 ·

The present invention is directed to interactive training, and in particular, to methods and systems for computerized interactive skill training. An example embodiment provides a method and system for providing skill training using a computerized system. The computerized system receives a selection of a first training subject. Several related training components can be invoked, such as reading, watching, performing, and/or reviewing components. In addition, a scored challenge session is provided, wherein a training challenge is provided to a user via a terminal, optionally in video form.

SYSTEMS AND METHODS FOR COMPUTERIZED INTERACTIVE SKILL TRAINING
20220343228 · 2022-10-27 ·

The present invention is directed to interactive training, and in particular, to methods and systems for computerized interactive skill training. An example embodiment provides a method and system for providing skill training using a computerized system. The computerized system receives a selection of a first training subject. Several related training components can be invoked, such as reading, watching, performing, and/or reviewing components. In addition, a scored challenge session is provided, wherein a training challenge is provided to a user via a terminal, optionally in video form.

Method and system for correlating an image capturing device to a human user for analysis of cognitive performance

A method capturing eye movement data for detection of cognitive anomalies, includes a computer application displaying a frame on a display, capturing and displaying a video image of a user's face and eyes, while the user aligns the face to the frame, capturing and processing the face image to initiate an image eye movement capture process, outputting an indication on a display and moving the indication spatially to one of a plurality of images, capturing a video of each user eye, to track the position of the indication of the display, the image of each eye comprising a sclera portion, an iris portion, and a pupil portion, parsing the video to determine a reference images corresponding to eye positions, capturing the user's eyes while the user views familiar and novel images, and correlating the images of the user's eyes to the familiar or novel images using the reference images.