US12572993B2: Computer-Controlled Precision Education And Training
Drawings
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What the drawings show
- The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
- FIG. 1 illustrates an example of a computer architecture in which various embodiments herein may operate;
- FIG. 2 illustrates a schematic diagram of an information management server in accordance with an embodiment herein;
- FIG. 3 illustrates a front-end context monitoring appliance connected with a context sensing engine in accordance with an embodiment herein;
- FIG. 4 illustrates a blockchain-configured ecosystem architecture containing one or more components of the system of FIG. 1 in accordance with an embodiment herein; and
- FIG. 5 is a block diagram illustrating a computer system used in accordance with the embodiments herein.
Abstract
A system for streaming of contextual micro-content blocks for a workflow task to facilitate task performance by a user. The system includes a context sensing engine that processes one or more context inputs and generates an output based on the context inputs received from a front-end context monitoring appliance. The system includes a processing circuit having a navigation engine to navigate through digital information sources and search for information that matches one or more parameters of relevance for the workflow task. The processing circuit extracts computer-executable information files from the digital information sources that matches the one or more parameters of relevance for the workflow task and digitally processes the collected computer-executable information files into processed information blocks. The processing circuit includes a micro-content blocks creator for generating the contextual micro-content blocks from the processed information blocks. The micro-content blocks are delivered to the user when the micro-tasks are beginning.
Summary of the invention
In view of the foregoing, an embodiment herein provides a system for live digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user. The system includes a context sensing engine that processes one or more context inputs associated with the user and converts them into processed inputs, and generates an output based on the one or more context inputs received from a front-end context monitoring appliance. The front-end context monitoring appliance is communicatively coupled to the context sensing engine at a remote location and includes a context sensor that detects a context of the task performance and a Global Positioning Service (GPS) device that detects geographical coordinates of a device associated with the user. The system further includes a processing circuit. The processing circuit includes a navigation engine that navigates through one or more digital information sources accessible over a network and searches for information that matches one or more parameters of relevance for the workflow task. The processing circuit further includes a computerized data collection wireless appliance that extracts computer-executable information files from the one or more digital information sources that matches the one or more parameters of relevance for the workflow task. The processing circuit further includes an information processing engine communicatively coupled to the computerized data collection wireless appliance. The information process engine digitally processes the collected computer-executable information files into a plurality of processed information blocks. The processing circuit further includes a micro-content blocks creator that generates the one or more contextual micro-content blocks from the plurality of processed information blocks based on the output generated by the context sensing engine. The system further includes a micro-content communication component that transmits the one or more contextual micro-content blocks relating to the workflow task to the device associated with the user at a time when the plurality of micro-tasks of the workflow task are about to start.
The system may further include an AI/ML (artificial intelligence/machine learning) system remotely connected to the front-end context monitoring appliance and communicatively coupled to the context sensing engine. The AI/ML system may receive a signal from the context sensing engine containing the processed context inputs and the output generated based on the context inputs, process the context inputs to determine a contextual pattern for the workflow task utilizing a plurality of intelligent and machine learning-based tools, and transmit a digital signal containing information pertinent to the contextual pattern to the processor.
The processing circuit may further include a filtering circuit that filters the plurality of processed information blocks based on the contextual pattern associated with the user and the workflow task as indicative through the output generated by the context sensing engine communicatively coupled to the processing circuit and the AI/ML system.
The full summary
The one or more micro-content blocks may include at least one of a context-based micro-content block, a location-based micro-content block, a role-based micro-content block, and a skills-based micro-content block such that the one or more contextual micro-content blocks matches to a plurality of micro-tasks of the workflow task.
The one or more contextual micro-content blocks may be time-stamped before transmission by the micro-content communication component to the device associated with the user for real-time delivery according to an occurrence of the plurality of micro-tasks of the workflow task.
The one or more parameters of relevance may be defined based on one or more of a plurality of digital inputs stored in a memory device, the plurality of digital inputs including a digital input indicative of nature of the workflow task, a digital input indicative of specific micro-tasks associated with the workflow task, a digital input indicative of location of execution or performance of the workflow task, a digital input indicative of actor performing the task, a digital input indicative of context of the workflow task, a digital input indicative of skill-sets of the actor performing the workflow task, a digital input indicative of role of the actor performing the workflow task.
The GPS device may retrieve real-time tracking location coordinates associated with an event occurrence for the plurality of micro-tasks of the workflow task. The GPS device may include a radio-navigation system.
The front-end context monitoring appliance may include an agent device coupled communicatively and operatively with the context sensing engine.
The agent device may be operated by deploying an installable agent, configured as a browser plugin, at the device associated with the user.
The system may further include a blockchain device that interacts with the context sensing engine through a plurality of blockchain configured distributed access points over a blockchain network.
The blockchain device may include a distributed trusted ledgers system containing a plurality of distributed blockchain ledgers associated with a plurality of computing terminals such that each ledger stores a copy of a computer-executable file containing the context inputs and the one or more contextual micro-content blocks associated with the workflow task.
The blockchain device may include a blockchain database that stores the collected computer-executable information files from the one or more digital information sources and the one or more contextual micro-content blocks.
Another embodiment herein provides a blockchain-enabled information management server for live digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user. The information management server includes a context sensing engine that may process one or more context inputs associated with the user and convert them into processed inputs, and generate an output based on the one or more context inputs received from a front-end context monitoring appliance. The front-end context monitoring appliance may be communicatively coupled to the context sensing engine at a remote location. The front-end context monitoring appliance may include a context sensor that detects a context of the task performance and a GPS device that detects geographical coordinates of a device associated with the user. The system further includes a processing circuit. The processing circuit includes a navigation engine that navigates through one or more digital information sources accessible over a network and searches for information that matches one or more parameters of relevance for the workflow task. The processing circuit further includes a computerized data collection wireless appliance that extracts computer-executable information files from the one or more digital information sources that matches the one or more parameters of relevance for the workflow task. The processing circuit includes an information processing engine communicatively coupled to the computerized data collection wireless appliance. The information processing engine digitally processes the collected computer-executable information files into a plurality of processed information blocks. The processing circuit includes a micro-content blocks creator for generating the one or more contextual micro-content blocks from the plurality of processed information blocks based on the output generated by the context sensing engine.
The system further includes a micro-content communication component that transmits the one or more contextual micro-content blocks relating to the workflow task to the device associated with the user at a time when the plurality of micro-tasks of the workflow task are about to start. The system further includes a blockchain device that interacts with the context sensing engine through a plurality of blockchain configured distributed access points over a blockchain network.
The blockchain device may include a distributed trusted ledgers system containing a plurality of distributed blockchain ledgers associated with a plurality of computing terminals such that each ledger stores a copy of a computer-executable file containing the context inputs and the one or more contextual micro-content blocks associated with the workflow task.
These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating exemplary embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
Independent claims
Claim 1
A method for live digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user, the method comprising: receiving one or more digital inputs from a front-end context monitoring appliance deployed at a user device, wherein each digital input is indicative of one or more parameters of relevance associated with the workflow task, wherein the front-end context monitoring appliance comprises a context sensor that detects a context of the task performance and an installable agent configured as a browser plugin at the device associated with the user; navigating through one or more digital information sources accessible over a network to search for information that matches the one or more parameters of relevance associated with the workflow task using at least one of a push gateway system that monitors data elements at the information sources and a pull gateway system that queries the information sources; filtering, by a filtering circuit, a plurality of processed information blocks based on a contextual pattern associated with the user and the workflow task to remove redundant information and manage information overload by comparing the processed information blocks with reference characteristics to determine what is noise versus what is important for the workflow task; generating one or more contextual micro-content blocks based on an overall contextual pattern associated with the workflow task, wherein the one or more contextual micro-content blocks are generated from the filtered plurality of processed information blocks and are configured to auto-hash review interactions at required intervals; and transmitting the one or more contextual micro-content blocks relating to the workflow task to the device associated with the user according to a delivery schedule managed by a task manager that examines status of micro-tasks on a time series and identifies timelines associated with delivery of the micro-content blocks for different tasks.
Claim 10
A system for live digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user, wherein the system comprises: an information management server connected to a plurality of user devices associated with a plurality of users, wherein each of the user devices performs the workflow task at a particular time and location such that performance of the workflow task occurs at a location remote from a location of the information management server, and wherein the workflow task comprises a plurality of micro-tasks performed in a particular sequence at particular locations and particular time slots; a front-end context monitoring appliance communicatively coupled to the information management server at a remote location, the front-end context monitoring appliance comprising: a context sensor that detects a context of the task performance; a GPS device that detects geographical coordinates of the device associated with the user and retrieves real-time tracking location coordinates associated with event occurrences for the plurality of micro-tasks; and an agent device operated by deploying an installable agent configured as a browser plugin at the device associated with the user; wherein the information management server comprises: a network layer that uses at least one of a push gateway system that monitors data elements at information sources and pushes relevant data and a pull gateway system that sends queries to the information sources and pulls in computer-executable files containing information; and a processor configured to: navigate through one or more digital information sources accessible over a network to search for information that matches one or more parameters of relevance associated with the workflow task; generate a unified score for determining a contextual pattern associated with the workflow task based on the one or more parameters of relevance associated with the workflow task; filter, through a filtering circuit, a plurality of processed information blocks based on the contextual pattern to manage semantic signal-to-noise ratio by comparing the processed information blocks with the contextual pattern to determine what is noise versus what is important; and generate one or more contextual micro-content blocks based on the contextual pattern associated with the workflow task, wherein the micro-content blocks are configured to auto-hash review interactions at required intervals; and a task manager that schedules delivery of the micro-content blocks according to schedule of the tasks and associated micro-tasks, ties different tasks on a time series, identifies timelines associated with delivery of the micro-content blocks for the different tasks, and examines status of the micro-tasks on the time series to transmit the one or more contextual micro-content blocks relating to the workflow task to the device associated with the user when the micro-tasks are scheduled to begin execution.
Claim 17
A system for digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user, wherein the system comprises: an information management server connected to a plurality of user devices associated with a plurality of users; a blockchain device that interacts with the information management server through a plurality of blockchain configured distributed access points over a blockchain network, wherein the blockchain device comprises: a distributed trusted ledgers system containing a plurality of distributed blockchain ledgers associated with a plurality of computing terminals such that each ledger stores a copy of a computer-executable file containing context inputs and the one or more contextual micro-content blocks associated with the workflow task; and a private data store configured to auto-hash review interactions at required intervals and provide compartmentalized access to computer-executable files based on access rights authorized to nodes; wherein the information management server comprises: a network layer that uses at least one of a push gateway system and a pull gateway system to collect data from one or more digital information sources; and a processor configured to: extract computer-executable information files from the one or more digital information sources that matches one or more parameters of relevance for the workflow task; create a plurality of information blocks based on the extracted computer-executable information files; filter the plurality of information blocks through a filtering circuit that removes redundant information using automated methods to manage information overload and increment semantic signal-to-noise ratio; and generate one or more contextual micro-content blocks from the plurality of filtered information blocks, wherein the contextual micro-content blocks are configured to enable auto-hash review interactions at required intervals for integrity verification; and a task manager configured to schedule and transmit the one or more contextual micro-content blocks relating to the workflow task to a device associated with the user based on examining status of micro-tasks on a time series.
All 20 claims
- A method for live digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user, the method comprising: receiving one or more digital inputs from a front-end context monitoring appliance deployed at a user device, wherein each digital input is indicative of one or more parameters of relevance associated with the workflow task, wherein the front-end context monitoring appliance comprises a context sensor that detects a context of the task performance and an installable agent configured as a browser plugin at the device associated with the user; navigating through one or more digital information sources accessible over a network to search for information that matches the one or more parameters of relevance associated with the workflow task using at least one of a push gateway system that monitors data elements at the information sources and a pull gateway system that queries the information sources; filtering, by a filtering circuit, a plurality of processed information blocks based on a contextual pattern associated with the user and the workflow task to remove redundant information and manage information overload by comparing the processed information blocks with reference characteristics to determine what is noise versus what is important for the workflow task; generating one or more contextual micro-content blocks based on an overall contextual pattern associated with the workflow task, wherein the one or more contextual micro-content blocks are generated from the filtered plurality of processed information blocks and are configured to auto-hash review interactions at required intervals; and transmitting the one or more contextual micro-content blocks relating to the workflow task to the device associated with the user according to a delivery schedule managed by a task manager that examines status of micro-tasks on a time series and identifies timelines associated with delivery of the micro-content blocks for different tasks.
- The method of claim 1 , comprising generating the overall contextual pattern defined by a score that represents a context of the workflow task.
- The method of claim 1 , comprising: detecting a context of the task performance; and detecting geographical coordinates of the device associated with the user.
- The method of claim 1 , wherein the one or more contextual micro-content blocks are time-stamped before transmission to the device associated with the user for real-time delivery according to an occurrence of a plurality of micro-tasks associated with the workflow task.
- The method of claim 4 , comprising receiving a signal indicative of the plurality of micro-tasks specific to the user for real-time delivery of the one or more contextual micro-content blocks to the user device.
- The method of claim 4 , wherein a duration of a first micro task of the plurality of micro tasks is determined based on a level of guidance that the first micro task needs as a standalone step independent of a second micro task, where the second micro task is one of the plurality of micro tasks other than the first micro task.
- The method of claim 1 , wherein generating the one or more contextual micro-content blocks based on the contextual pattern associated with the workflow task comprises: extracting one or more computer-executable information files from the one or more digital information sources based on the contextual pattern associated with the workflow task; digitally processing the one or more extracted computer-executable information files into a plurality of processed information blocks; and generating the one or more contextual micro-content blocks from the plurality of processed information blocks.
- The method of claim 1 , comprising notifying to the user when the one or more contextual micro-content blocks is at least one of delivered, completed, and remains pending after a specified due time.
- The method of claim 1 , comprising generating AI/ML-based predictions of future expected behavior and learning requirements by the user using an artificial intelligence machine and a machine learning tool to timely guide when predefined information is required by the user.
- A system for live digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user, wherein the system comprises: an information management server connected to a plurality of user devices associated with a plurality of users, wherein each of the user devices performs the workflow task at a particular time and location such that performance of the workflow task occurs at a location remote from a location of the information management server, and wherein the workflow task comprises a plurality of micro-tasks performed in a particular sequence at particular locations and particular time slots; a front-end context monitoring appliance communicatively coupled to the information management server at a remote location, the front-end context monitoring appliance comprising: a context sensor that detects a context of the task performance; a GPS device that detects geographical coordinates of the device associated with the user and retrieves real-time tracking location coordinates associated with event occurrences for the plurality of micro-tasks; and an agent device operated by deploying an installable agent configured as a browser plugin at the device associated with the user; wherein the information management server comprises: a network layer that uses at least one of a push gateway system that monitors data elements at information sources and pushes relevant data and a pull gateway system that sends queries to the information sources and pulls in computer-executable files containing information; and a processor configured to: navigate through one or more digital information sources accessible over a network to search for information that matches one or more parameters of relevance associated with the workflow task; generate a unified score for determining a contextual pattern associated with the workflow task based on the one or more parameters of relevance associated with the workflow task; filter, through a filtering circuit, a plurality of processed information blocks based on the contextual pattern to manage semantic signal-to-noise ratio by comparing the processed information blocks with the contextual pattern to determine what is noise versus what is important; and generate one or more contextual micro-content blocks based on the contextual pattern associated with the workflow task, wherein the micro-content blocks are configured to auto-hash review interactions at required intervals; and a task manager that schedules delivery of the micro-content blocks according to schedule of the tasks and associated micro-tasks, ties different tasks on a time series, identifies timelines associated with delivery of the micro-content blocks for the different tasks, and examines status of the micro-tasks on the time series to transmit the one or more contextual micro-content blocks relating to the workflow task to the device associated with the user when the micro-tasks are scheduled to begin execution.
- The system of claim 10 , wherein the one or more contextual micro-content blocks is time-stamped before transmission to the device associated with the user for real-time delivery according to an occurrence of a plurality of micro-tasks.
- The system of claim 11 , wherein the processor tracks activities of the user, determines the plurality of micro-tasks specific to the activities of the user for real-time delivery, determines recommendations for the user related to the activities of the user, and generates the one or more micro-content blocks that pertains to accomplish the plurality of micro-tasks specific to the user activities for real-time delivery of the one or more micro content blocks.
- The system of claim 11 , wherein a duration of a first micro task of the plurality of micro tasks is determined based on a level of guidance that the first micro task needs as a standalone step independent of a second micro task, where the second micro task is one of the plurality of micro tasks other than the first micro task.
- The system of claim 10 , wherein the processor generates the one or more contextual micro-content blocks based on the contextual pattern associated with the workflow task, the processor further configured to: extract computer-executable information files from the one or more digital information sources based on the contextual pattern associated with the workflow task; digitally process the extracted computer-executable information files into a plurality of processed information blocks; and generate the one or more contextual micro-content blocks from the plurality of processed information blocks.
- The system of claim 10 , wherein the processor notifies to the user when the one or more contextual micro-content blocks is at least one of delivered, completed, and remains pending after a specified due time.
- The system of claim 10 , wherein the processor is configured to generate one or more AI/ML-based predictions of future expected behavior and learning requirements by the user using one or more of an artificial intelligence machine and a machine learning tool to timely guide when certain information is required by the user.
- A system for digital streaming of one or more contextual micro-content blocks in real-time for a workflow task to facilitate task performance by a user, wherein the system comprises: an information management server connected to a plurality of user devices associated with a plurality of users; a blockchain device that interacts with the information management server through a plurality of blockchain configured distributed access points over a blockchain network, wherein the blockchain device comprises: a distributed trusted ledgers system containing a plurality of distributed blockchain ledgers associated with a plurality of computing terminals such that each ledger stores a copy of a computer-executable file containing context inputs and the one or more contextual micro-content blocks associated with the workflow task; and a private data store configured to auto-hash review interactions at required intervals and provide compartmentalized access to computer-executable files based on access rights authorized to nodes; wherein the information management server comprises: a network layer that uses at least one of a push gateway system and a pull gateway system to collect data from one or more digital information sources; and a processor configured to: extract computer-executable information files from the one or more digital information sources that matches one or more parameters of relevance for the workflow task; create a plurality of information blocks based on the extracted computer-executable information files; filter the plurality of information blocks through a filtering circuit that removes redundant information using automated methods to manage information overload and increment semantic signal-to-noise ratio; and generate one or more contextual micro-content blocks from the plurality of filtered information blocks, wherein the contextual micro-content blocks are configured to enable auto-hash review interactions at required intervals for integrity verification; and a task manager configured to schedule and transmit the one or more contextual micro-content blocks relating to the workflow task to a device associated with the user based on examining status of micro-tasks on a time series.
- The system of claim 17 , wherein the one or more micro-content blocks comprises at least one of a context-based micro-content block, a location-based micro-content block, a role-based micro-content block, and a skills-based micro-content block.
- The system of claim 18 , wherein the one or more contextual micro-content blocks are time-stamped before transmission to the device associated with the user for real-time delivery of the one or more micro content blocks according to an occurrence of the plurality of micro-tasks associated with the workflow task.
- The system of claim 17 , wherein the processor notifies the user when the one or more contextual micro-content blocks is at least one of delivered, completed, and remains pending after a specified due time.
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A system for streaming of contextual micro-content blocks for a workflow task to facilitate task performance by a user.
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Yes. Intellectual Frontiers offers US12572993B2, with the rest of the Computer-Controlled Precision Education And Training family, for an exclusive or non-exclusive licence, field-of-use licences included. Terms are agreed on inquiry: write to hello+ip@intellectualfrontiers.com.
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What is the status of US12572993B2?
Patented Case as of 25 February 2026, according to the USPTO record read 27 September 2026.
When does US12572993B2 expire?
14 January 2041. An estimate from Google Patents, read 9 October 2026. Fees, terminal disclaimers and later events can change it, and it is not legal advice.
What does US12572993B2 cover?
A system for streaming of contextual micro-content blocks for a workflow task to facilitate task performance by a user. The system includes a context sensing engine that processes one or more context inputs and generates an output based on the context inputs received from a front-end context monitoring appliance. The system includes a processing circuit having a navigation engine to navigate throu
Which patents are related to US12572993B2?
It is part of the Computer-Controlled Precision Education And Training family, with US11423500B2, US11651459B2.
Who invented US12572993B2 and who holds it?
Shahid N. Shah is the inventor. Intellectual Frontiers LLC holds the rights.