Patent Application Titled “Data Processing System With Machine Learning Engine To Provide Output Generating Functions” Published Online (USPTO 20190095815)

2019 APR 12 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Rugel, John (Hawthorn Woods, IL); Stricker, Brian (Northbrook, IL); Hayes, Howard (Glencoe, IL), filed on September 27, 2017, was made available online on March 28, 2019.

The assignee for this patent application is Allstate Insurance Company (Northbrook, Illinois, United States).

Reporters obtained the following quote from the background information supplied by the inventors: “Mobile devices are being used to simplify people’s lives around the world. However, it is often difficult to collect sufficient information via user input. In addition, determining an accuracy of information provided by a user can be difficult. Often, confirming accuracy may require in-person communication, additional documentation, and the like. Accordingly, executing a plurality of interactive tests generated by an entity to collect condition data, verify accuracy of data, and the like, may be advantageous.”

In addition to obtaining background information on this patent application, NewsRx editors also obtained the inventors’ summary information for this patent application: “The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the disclosure. It is neither intended to identify key or critical elements of the disclosure nor to delineate the scope of the disclosure. The following summary merely presents some concepts of the disclosure in a simplified form as a prelude to the description below.

“Aspects of the disclosure relate to methods, computer-readable media, systems, and apparatuses for identifying and executing one or more interactive condition evaluation tests to generate an output.

“In some examples, user information may be received by a system, computing device, or the like. Based on the information, one or more interactive condition evaluation tests may be identified. An instruction, command, signal or the like, may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified interactive condition evaluation tests.

“In some examples, a user interface may be generated by the system, computing device, or the like. The user interface may include instructions for executing the identified interactive condition evaluation tests. Upon initiating an interactive condition evaluation test on the computing device of the user, data may be collected from one or more sensors in the computing device.

“In some examples, a determination may be made as to whether a triggering event has occurred. If not, data from the sensors may be collected. If so, the interactive condition evaluation test may be terminated and functionality associated with the sensors may be disabled.

“In some arrangements, the data collected via the sensors may be transmitted to the system, computing device, or the like, and may be processed using one or more machine learning datasets to generate an output. For instance, the data may be processed to determine an eligibility of user, identify a product or service for the user, or the like.

“These and other features and advantages of the disclosure will be apparent from the additional description provided herein.”

The claims supplied by the inventors are:

“1. An interactive test generation and control computing platform, comprising: a processing unit comprising a processor; and a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the interactive test generation and control computing platform to: receive user input including user information; based on the received user information, identify one or more products for evaluation; based on the identified one or more products for evaluation, identify a plurality of interactive condition evaluation tests to be executed on a user computing device; transmit a signal to the user computing device enabling functionality of one or more sensors in the user computing device and associated with the identified plurality of interactive condition evaluation tests; generate a first user interface providing instructions for performing a first interactive condition evaluation test of the plurality of interactive condition evaluation tests; transmit the generated first user interface to the user computing device; initiate the first interactive condition evaluation test on the user computing device; after initiating the first interactive condition evaluation test, collect data from the enabled one or more sensors; determine whether a triggering event has occurred; responsive to determining that the triggering event has occurred: terminating the first interactive condition evaluation test; transmitting a signal disabling the one or more sensors in the computing device and associated with the first interactive condition evaluation test; processing, based on one or more machine learning datasets, the collected data to determine an output for the user; transmitting the output to the user computing device; and responsive to determining that the triggering event has not occurred, continue to collect data from the enabled one or more sensors in the computing device and associated with the first interactive condition evaluation test.

“2. The interactive test generation and control computing platform of claim 1, further including instructions that, when executed, cause the interactive test generation and control computing platform to: responsive to terminating the first interactive condition evaluation test, determine whether a second interactive condition evaluation test has been identified for execution; and responsive to determining that the second interactive condition evaluation test has been identified for execution, initiating the second interactive condition evaluation test on the user computing device.

“3. The interactive test generation and control computing platform of claim 1, further including instructions that, when executed, cause the interactive test generation and control computing platform to: receiving user input requesting a product or service, and wherein the identified one or more products for evaluation are identified in response to receiving user input requesting the product or service.

“4. The interactive test generation and control computing platform of claim 1, wherein the processing, based on one or more machine learning datasets, the collected data to determine an output for the user further includes determining eligibility of the user for the identified one or more products.

“5. The interactive test generation and control computing platform of claim 4, further including instructions that, when executed, cause the interactive test generation and control computing platform to: receive data from an internal computing device; receive data from an external computing device; aggregate the data received from the internal computing device and the external computing device; and processing, based on the one or more machine learning datasets, the received data from the internal computing device and the received data from the external computing device to determine the eligibility of the user for the identified one or more products.

“6. The interactive test generation and control computing platform of claim 5, wherein the data from the external computing device includes data associated with at least one of: health information of the user and behavior information of the user.

“7. The interactive test generation and control computing platform of claim 1, wherein the first interactive condition evaluation test includes an instruction to walk for a predetermined distance and wherein the triggering event includes detection, by the user computing device, that the predetermined distance has been reached.

“8. The interactive test generation and control computing platform of claim 1, wherein the first interactive condition evaluation test includes instructions to respond to a plurality of cognitive skills questions via the user computing device and wherein the triggering event includes detection, by the user computing device, that each question of the plurality of cognitive skills questions has been answered.

“9. A method, comprising: at a computing platform comprising at least one processor, memory, and a communication interface: receiving user input including user information; based on the received user information, identifying one or more products for evaluation; based on the identified one or more products for evaluation, identifying a plurality of interactive condition evaluation tests to be executed on a user computing device; transmitting a signal to the user computing device enabling functionality of one or more sensors in the user computing device and associated with the identified plurality of interactive condition evaluation tests; generating a first user interface providing instructions for performing a first interactive condition evaluation test of the plurality of interactive condition evaluation tests; transmitting the generated first user interface to the user computing device; initiating the first interactive condition evaluation test on the user computing device; after initiating the first interactive condition evaluation test, collecting data from the enabled one or more sensors; determining whether a triggering event has occurred; responsive to determining that the triggering event has occurred: terminating the first interactive condition evaluation test; transmitting a signal disabling the one or more sensors in the computing device and associated with the first interactive condition evaluation test; processing, based on one or more machine learning datasets, the collected data to determine an output for the user; and transmitting the output to the user computing device.

“10. The method of claim 9, further including: responsive to terminating the first interactive condition evaluation test, determining whether a second interactive condition evaluation test has been identified for execution; and responsive to determining that the second interactive condition evaluation test has been identified for execution, initiating the second interactive condition evaluation test on the user computing device.

“11. The method of claim 9, further including: receiving user input requesting a product or service, and wherein the identified one or more products for evaluation are identified in response to receiving user input requesting the product or service.

“12. The method of claim 9, wherein the processing, based on one or more machine learning datasets, the collected data to determine an output for the user further includes determining eligibility of the user for the identified one or more products.

“13. The method of claim 9, wherein the first interactive condition evaluation test includes an instruction to walk for a predetermined distance and wherein the triggering event includes detection, by the user computing device, that the predetermined distance has been reached.

“14. The method of claim 9, wherein the first interactive condition evaluation test includes instructions to respond to a plurality of cognitive skills questions via the user computing device and wherein the triggering event includes detection, by the user computing device, that each question of the plurality of cognitive skills questions has been answered.

“15. One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to: receive user input including user information; based on the received user information, identify one or more products for evaluation; based on the identified one or more products for evaluation, identify a plurality of interactive condition evaluation tests to be executed on a user computing device; transmit a signal to the user computing device enabling functionality of one or more sensors in the user computing device and associated with the identified plurality of interactive condition evaluation tests; generate a first user interface providing instructions for performing a first interactive condition evaluation test of the plurality of interactive condition evaluation tests; transmit the generated first user interface to the user computing device; initiate the first interactive condition evaluation test on the user computing device; after initiating the first interactive condition evaluation test, collect data from the enabled one or more sensors; determine whether a triggering event has occurred; responsive to determining that the triggering event has occurred: terminating the first interactive condition evaluation test; transmitting a signal disabling the one or more sensors in the computing device and associated with the first interactive condition evaluation test; processing, based on one or more machine learning datasets, the collected data to determine an output for the user; transmitting the output to the user computing device; and responsive to determining that the triggering event has not occurred, continue to collect data from the enabled one or more sensors in the computing device and associated with the first interactive condition evaluation test.

“16. The one or more non-transitory computer-readable media of claim 15, further including instructions that, when executed, cause the computing platform to: responsive to terminating the first interactive condition evaluation test, determine whether a second interactive condition evaluation test has been identified for execution; and responsive to determining that the second interactive condition evaluation test has been identified for execution, initiating the second interactive condition evaluation test on the user computing device.

“17. The one or more non-transitory computer-readable media of claim 15, further including instructions that, when executed, cause the computing platform to: receive user input requesting a product or service, and wherein the identified one or more products for evaluation are identified in response to receiving user input requesting the product or service.

“18. The one or more non-transitory computer-readable media of claim 15, wherein the processing, based on one or more machine learning datasets, the collected data to determine an output for the user further includes determining eligibility of the user for the identified one or more products.

“19. The one or more non-transitory computer-readable media of claim 15, wherein the first interactive condition evaluation test includes an instruction to walk for a predetermined distance and wherein the triggering event includes detection, by the user computing device, that the predetermined distance has been reached.

“20. The one or more non-transitory computer-readable media of claim 15, wherein the first interactive condition evaluation test includes instructions to respond to a plurality of cognitive skills questions via the user computing device and wherein the triggering event includes detection, by the user computing device, that each question of the plurality of cognitive skills questions has been answered.”

For more information, see this patent application: Rugel, John; Stricker, Brian; Hayes, Howard. Data Processing System With Machine Learning Engine To Provide Output Generating Functions. Filed September 27, 2017 and posted March 28, 2019. Patent URL: http://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220190095815%22.PGNR.&OS=DN/20190095815&RS=DN/20190095815

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