Granted Patent B2

US 12,652,158 · App. 18/822,384 · Granted Jun 9, 2026

Inventor: Shahid N. Shah (Silver Spring, MD)

Assignee: Intellectual Frontiers LLC

H04L9/0643G06F3/013G06N20/00G06Q20/3678G06Q30/0218G06V40/174G09B5/12H04L9/3263H04L9/50

Abstract

Claims (76)

1 . A blockchain-enabled information management server for live digital streaming of digital content including one or more content blocks for a user device, the information management server comprising:

a memory circuit maintained on one or more non-transitory computer-readable media, wherein the memory circuit stores context inputs received from the user device;

an AI/ML (artificial intelligence/machine learning) system that uses a trained machine learning model to determine a contextual pattern associated with consumption of digital content based on the context inputs;

a processing circuit that creates a reward based on monitoring a user by:

transmitting at least one micro content block to the user device based on the contextual pattern;

identifying a progress of the user through the digital content presented on a display device associated with the user device, wherein the digital content comprises a collection of micro content blocks, the progress of the user being at least dependent on one or more of a plurality of predefined parameters comprising a number of words read by the user, a number of characters read by the user, or an amount of time spent by the user consuming the micro content blocks;

identifying a computer-executable progress score of the user based on the progress identified for the user;

defining a computer-executable reward value for the user based on the computer-executable progress score and a computer-executable genuineness score associated with the user upon successful achieving at least a defined level of the progress;

instructing the user to redeem the computer-executable reward value as an equivalent transactional amount upon submission of the progress based on the computer-executable progress score and the computer-executable genuineness score;

a validation appliance that assesses a computer-executable genuineness score associated with consumption of the digital content by the user, wherein the validation appliance comprises:

a gaze tracking device that continuously tracks gaze of the user through the digital content using an eye movement sensor to determine whether a particular portion of the digital content was consumed and to generate gaze information; and

a micro facial expression tracking device that continuously monitors micro facial expressions of the user through the progress of the digital content using a micro facial tracking software to detect changes in facial expressions indicative of attention levels and to generate micro facial expression information;

wherein the validation appliance generates computer-executable evidence of consumption of the micro content blocks based on the gaze information and the micro facial expression information in association with the computer-executable genuineness score;

a blockchain device that interacts with the validation appliance through a plurality of blockchain configured distributed access points over a blockchain network, wherein the blockchain device stores the computer-executable evidence generated by the validation appliance in a blockchain database to create an immutable record of the consumption of the micro content blocks; and

a precision blocks creator that generates the one or more micro content blocks from a plurality of information blocks extracted from a database or from a plurality of distributed information sources.

2 . The information management server of claim 1 , wherein the AI/ML system is configured to determine the contextual pattern based on at least one of user preferences, modules subscribed by the user, communities joined by the user, and courses joined by the user.

3 . The information management server of claim 1 , wherein the processing circuit is configured to perform the live digital streaming of digital content by:

extracting, via a computerized data collection wireless appliance, computer-executable information files from the plurality of distributed information sources that match one or more parameters of relevance for the user;

storing the extracted information files in a local data reservoir;

digitally processing, via an information processing engine, the stored information files into a plurality of processed information blocks;

generating, via the precision blocks creator, the one or more micro content blocks from the plurality of processed information blocks based on a contextual pattern;

time-stamping, via a micro-content communication component, each of the one or more micro content blocks;

transmitting, via the micro-content communication component, the time-stamped micro content blocks to the user device in real-time based on a predefined delivery schedule determined by a task manager; and

organizing, via the task manager, processes comprising:

scheduling of micro-tasks associated with a workflow task;

tying different micro-tasks on a time series; and

identifying timelines associated with the delivery of the micro content blocks for the different micro-tasks.

4 . The information management server of claim 1 , wherein the precision blocks creator is configured to:

extract relevant information from the plurality of information blocks based on a contextual pattern;

summarize the extracted information to create the one or more micro content blocks; and

tag the one or more micro content blocks with metadata related to the contextual pattern.

5 . The information management server of claim 1 , comprising a task manager configured to:

break down a workflow task into a series of micro-tasks;

schedule delivery of the one or more micro content blocks according to the series of micro-tasks; and

notify the user about the status of micro content block delivery for each micro-task.

6 . The information management server of claim 1 , wherein the processing circuit is configured to:

time-stamp the one or more micro content blocks before transmission to the user device; and

record the time-stamp in a blockchain ledger as part of the evidence of consumption.

7 . The information management server of claim 2 , wherein the trained machine learning model is configured to:

analyze historical data of user interactions with digital content;

identify patterns in content consumption across different user contexts; and

predict future content consumption behavior based on the identified patterns.

8 . The information management server of claim 1 , comprising a filtering circuit configured to:

filter the plurality of information blocks based on a contextual pattern and processed context inputs;

remove redundant or irrelevant information from the filtered information blocks; and

provide the filtered and refined information blocks to the precision blocks creator.

9 . A method for blockchain-enabled management of digital content consumption, the method comprising:

receiving, by an information management server, context inputs from a user device;

determining, by an AI/ML (artificial intelligence/machine learning) system using a trained machine learning model, a contextual pattern associated with consumption of digital content based on the context inputs;

transmitting, by the information management server, at least one micro content block to the user device based on the contextual pattern;

identifying, by the information management server, a progress of a user through the digital content, wherein the progress is dependent on a plurality of predefined parameters comprising a number of words read by the user, a number of characters read by the user, and an amount of time spent by the user consuming the micro content blocks;

determining, by the information management server, a computer-executable progress score based on the identified progress;

assessing, by a validation appliance, a computer-executable genuineness score associated with consumption of the digital content by the user, wherein assessing the computer-executable genuineness score comprises:

continuously tracking, using a gaze tracking device, a gaze of the user through the digital content using an eye movement sensor to determine whether a particular portion of the digital content was consumed and to generate gaze information;

continuously monitoring, using a micro facial expression tracking device, micro facial expressions of the user through the progress of the digital content using a micro facial tracking software to detect changes in facial expressions indicative of attention levels and to generate micro facial expression information;

generating, by the validation appliance, computer-executable evidence of consumption of the micro content blocks based on the gaze information and the micro facial expression information in association with the computer-executable genuineness score;

defining, by the information management server, a computer-executable reward value for the user based on the computer-executable progress score and the computer-executable genuineness score upon the user achieving at least a defined level of progress;

instructing, by the information management server, the user to redeem the computer-executable reward value as an equivalent transactional amount upon submission of the progress;

generating, by a precision blocks creator, the at least one micro content block from a plurality of information blocks extracted from a database or from a plurality of distributed information sources; and

storing, by a blockchain device through a plurality of blockchain-configured distributed access points over a blockchain network, the computer-executable evidence generated by the validation appliance in a blockchain database to create an immutable record of the consumption of the micro content blocks in association with the computer-executable genuineness score.

10 . The method of claim 9 , comprising:

analyzing, by the AI/ML system, extended context information including web browsing history and application usage during content consumption;

incorporating the extended context information into the contextual pattern; and

adjusting the transmission of micro content blocks based on the incorporated extended context information.

11 . The method of claim 9 , comprising:

establishing, by the blockchain device, a federated blockchain comprising multiple entities and their associated devices;

defining access rights for each entity in the federated blockchain; and

managing content consumption data sharing among the entities based on the defined access rights.

12 . The method of claim 9 , comprising:

generating, by the information management server, a private view of content consumption data for each entity in the blockchain network;

compartmentalizing the content consumption data based on the access rights of each entity; and

auto-hashing the private views at predetermined intervals to ensure data integrity.

13 . The method of claim 9 , wherein generating the at least one micro content block comprises:

analyzing the contextual pattern to determine a complexity level appropriate for the user;

adjusting the content and format of the micro content block based on the determined complexity level; and

structuring the micro content block to align with the identified progress of the user.

Assignments (1)

Continuity (2)

References Cited (28)