Abstract: Aspects of the present disclosure relate to systems and methods for providing instructions (e.g., work instructions) to employees. Specifically, aspects of the present disclosure relate to a network service that dynamically determines instructions for each employee and provides the determined instructions to the employees while executing their duties. The network service can determine the instructions based on a set of inputs generated from each computing device and sensor data received from a plurality of sensors deployed at the workspace.

Abstract: Aspects of the present application relate to systems and methods for generating run-time workflows and assigning employees to the workflows by identifying attributes for each workflow. The workflow assignment can include determining a master plan, processing the master plan to generate a hierarchical data structure, periodically identifying workflows based on the lowest level of the data structure, determining attributes for each workflow in each period, and determining available employees for each workflow identified at each period.

Abstract: Aspects of the present disclosure relate to systems and methods for generating and providing training instructions. Specifically, aspects of the present disclosure relate to a network service that dynamically generates training instructions The network service can generate the training instructions based on a set of inputs generated from each computing device, employees' profile information, dynamically changed working environments, and/or sensor data received from a plurality of sensors deployed at the workspace. The network service can provide potential answers, having a data range to score each answer provided by the employees. The network service can also generate the training instructions sequentially or in random order. In addition, these training instructions can be provided once or recurrently. The network service can also utilize machine learning model to automatically generate the training instructions.

Abstract: Computerized assessments rely upon databases containing constantly changing assessment information including an identifier, questions, choices, and scoring criteria. A particular instance of an assessment, including captured questions and corresponding scoring criteria is stored. The captured questions are administered to assessment takers. The answers are linked to scoring criteria using the identifier, so that assessment results may be generated. The assessment instance includes a first data entity including a selection of questions and an instance identifier; and a second data entity including the instance identifier and scoring criteria. An API captures the assessment instance responsive to a request by an external program, then communicates the first data entity to the external program. The external program then communicates back assessment answers with the identifier. The API associates the responses with the second data entity using the identifier and creates scoring results.

Abstract: A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.

Abstract: A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.

Abstract: A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.

Abstract: A method for interacting with a user, comprising communicating with at least one cooperative server through a normal browser; automatically receiving encrypted data having an associated received type code indicative of a requirement for a secure browser having restricted functionality with respect to a functionality of the normal browser; selectively and automatically invoking the secure browser for handling of the received encrypted data based on the received type code associated with the received encrypted data; receiving the encrypted data with the invoked secure browser for handling thereof, wherein the received encrypted data is not available for use by the user in the normal browser and the invoked secure browser imposes restrictions on availability outside of the secure browser of decrypted data derived from the encrypted data; and communicating an input from the user, through the secure browser, to the at least one cooperative server.

Abstract: A method, computer program product, and computer system for detecting cheating in an assessment. Brainwaves of a user are identified. An attention level of the user is determined with the identified brainwaves. The attention level of the user is analyzed. An action of the user is classified as a cheating event using the analyzed attention level of the user.

Abstract: A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.

Abstract: A method, computer program product, and computer system for detecting cheating in an assessment. Brainwaves of a user are identified. An attention level of the user is determined with the identified brainwaves. The attention level of the user is analyzed. An action of the user is classified as a cheating event using the analyzed attention level of the user.

Abstract: A method for interacting with a user, comprising communicating with at least one cooperative server through a normal browser; automatically receiving encrypted data having an associated received type code indicative of a requirement for a secure browser having restricted functionality with respect to a functionality of the normal browser; selectively and automatically invoking the secure browser for handling of the received encrypted data based on the received type code associated with the received encrypted data; receiving the encrypted data with the invoked secure browser for handling thereof, wherein the received encrypted data is not available for use by the user in the normal browser and the invoked secure browser imposes restrictions on availability outside of the secure browser of decrypted data derived from the encrypted data; and communicating an input from the user, through the secure browser, to the at least one cooperative server.

Abstract: A secure user interface method, for interacting with a user through a browser, comprising the steps of controlling the browser to request a document from a cooperative server, the browser providing data export support functionality; receiving data with the browser in response to the request; determining, based on a type encoding of the received data, whether a secure browser is to be employed, the secure browser having a set of functionality restricted with respect to a normal browser, to enhance security of a received document against data export; authenticating the secure browser, to assure that the secure browser having the restricted set of functionality is available for presentation of secure content; receiving the secure content for presentation in the secure browser; and communicating an input from the user, through the secure browser, to a cooperative server.