IP Library Patent Application 16996592
Patent Application
App. No. 16/996,592

SENIOR LIVING ENGAGEMENT AND CARE SUPPORT PLATFORMS

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Quick Facts
Patent No.
US None
App. No.
16/996,592
Filed
Aug 18, 2020
Art Unit
3682
USPC
705/2
Abstract

Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Claims (51)

1 - 27 . (canceled)

28 . An engagement and care support platform (“ECSP”) computer system for facilitating user engagement therewith, the ECSP computer system comprising at least one processor and at least one memory device in communication therewith, the at least one processor programmed to:

register a user through an application executing on a first client device, wherein the user inputs user data associated with the user including user preferences;

collect sensor data relating to the user from at least one of the first client device, a wearable device associated with the user, or a smart device located proximate to the user;

generate a user profile for the user including the user data and the sensor data;

build a daily interactive user interface including displayable content for display on the first client device, the content displayed on the daily interactive user interface including upcoming activities scheduled for the user and at least one type of media;

using machine learning tools and the user profile, identify media content for display on the daily interactive user interface as the at least one type of media, the machine learning tools configured to identify media content that will cause the user to engage with the application; and

cause the first client device to display for the user the daily interactive user interface including the upcoming activities scheduled for the user and the identified media content for causing the user to engage with the application.

29 . The ECSP computer system of claim 28 , wherein the at least one processor is further programmed to identify a digital photograph associated with the user as the media content for display on the daily interactive user interface, and wherein the digital photograph is displayed along with a visual prompt requesting that the user acknowledge the digital photograph.

30 . The ECSP computer system of claim 29 , wherein the digital photograph is received from a second client device associated with a registered caregiver of a circle of caregivers for the user.

31 . The ECSP computer system of claim 28 , wherein the at least one processor is further programmed to identify an article of interest to the user as the media content for display on the daily interactive user interface, and wherein the article is displayed along with a visual prompt requesting that the user interact with the article.

32 . The ECSP computer system of claim 28 , wherein the at least one processor is further programmed to determine whether a user interaction was received via the daily interactive user interface at the first client device by determining (i) whether any touch interaction was received at the first client device via the daily interactive user interface, and (ii) whether any audible interaction was received via the first client device.

33 . The ECSP computer system of claim 32 , wherein the at least one processor is further programmed to:

receive an indication of touch interaction from the first client device;

generate a daily update message including data representing the indication of the touch interaction; and

transmit the daily update message to at least one second client device each being associated with at least one caregiver of a circle of caregivers for the user.

34 . The ECSP computer system of claim 28 , wherein the at least one processor is in further communication with a chatbot, wherein the at least one processor is further programmed to use the machine learning tools to identify a digital photograph associated with the user as the media content for display on the daily interactive user interface, and wherein the digital photograph is displayed along with an audio prompt generated by the chatbot, the audio prompt requesting that the user verbally acknowledge the digital photograph.

35 . The ECSP computer system of claim 28 , wherein the at least one processor is in further communication with a chatbot, and wherein the at least one processor is further programmed to:

cause the chatbot to generate an audio prompt relating to one of a previously scheduled activity;

cause the first client device to audibly present the audio prompt to the user requesting an audio response to the audio prompt; and

transmit an indication that the audio response was received to at least one second client device being associated with at least one caregiver of a circle of caregivers for the user.

36 . A computer-implemented method for facilitating user engagement therewith, the computer-implemented method performed by an engagement and care support platform (“ECSP”) computer system including at least one processor and at least one memory device in communication therewith, the computer-implemented method comprising:

registering a user through an application executing on a first client device, wherein the user inputs user data associated with the user including user preferences;

collecting sensor data relating to the user from at least one of the first client device, a wearable device associated with the user, or a smart device located proximate to the user;

generating a user profile for the user including the user data and the sensor data;

building a daily interactive user interface including displayable content for display on the first client device, the content displayed on the daily interactive user interface including upcoming activities scheduled for the user and at least one type of media;

using machine learning tools and the user profile, identifying media content for display on the daily interactive user interface as the at least one type of media, the machine learning tools configured to identify media content that will cause the user to engage with the application; and

causing the first client device to display for the user the daily interactive user interface including the upcoming activities scheduled for the user and the identified media content for causing the user to engage with the application.

37 . The computer-implemented method of claim 36 further comprising identifying a digital photograph associated with the user as the media content for display on the daily interactive user interface, wherein the digital photograph is displayed along with a visual prompt requesting that the user acknowledge the digital photograph.

38 . The computer-implemented method of claim 37 , wherein the digital photograph is received from a second client device associated with a registered caregiver of a circle of caregivers for the user.

39 . The computer-implemented method of claim 36 further comprising identifying an article of interest to the user as the media content for display on the daily interactive user interface, wherein the article is displayed along with a visual prompt requesting that the user interact with the article.

40 . The computer-implemented method of claim 36 further comprising determining whether a user interaction was received via the daily interactive user interface at the first client device by determining (i) whether any touch interaction was received at the first client device via the daily interactive user interface, and (ii) whether any audible interaction was received via the first client device.

41 . The computer-implemented method of claim 40 further comprising:

receiving an indication of touch interaction from the first client device;

generating a daily update message including data representing the indication of the touch interaction; and

transmitting the daily update message to at least one second client device each being associated with at least one caregiver of a circle of caregivers for the user.

42 . The computer-implemented method of claim 36 , wherein the at least one processor is in further communication with a chatbot, wherein the computer-implemented method further comprises using the machine learning tools to identify a digital photograph associated with the user as the media content for display on the daily interactive user interface, and wherein the digital photograph is displayed along with an audio prompt generated by the chatbot, the audio prompt requesting that the user verbally acknowledge the digital photograph.

43 . The computer-implemented method of claim 36 , wherein the at least one processor is in further communication with a chatbot, and wherein the computer-implemented method further comprises:

causing the chatbot to generate an audio prompt relating to one of a previously scheduled activity;

causing the first client device to audibly present the audio prompt to the user requesting an audio response to the audio prompt; and

transmitting an indication that the audio response was received to at least one second client device being associated with at least one caregiver of a circle of caregivers for the user.

44 . At least one non-transitory computer-readable medium having computer-executable instructions embodied thereon, that when executed by an engagement and care support platform (“ECSP”) computer system including at least one processor and at least one memory device in communication therewith, the computer-executable instructions cause the at least one processor to:

register a user through an application executing on a first client device, wherein the user inputs user data associated with the user including user preferences;

collect sensor data relating to the user from at least one of the first client device, a wearable device associated with the user, or a smart device located proximate to the user;

generate a user profile for the user including the user data and the sensor data;

build a daily interactive user interface including displayable content for display on the first client device, the content displayed on the daily interactive user interface including upcoming activities scheduled for the user and at least one type of media;

using machine learning tools and the user profile, identify media content for display on the daily interactive user interface as the at least one type of media, the machine learning tools configured to identify media content that will cause the user to engage with the application; and

cause the first client device to display for the user the daily interactive user interface including the upcoming activities scheduled for the user and the identified media content for causing the user to engage with the application.

45 . The least one non-transitory computer-readable medium of claim 44 , wherein the computer-executable instructions further cause the at least one processor to identify a digital photograph associated with the user as the media content for display on the daily interactive user interface, and wherein the digital photograph is displayed along with a visual prompt requesting that the user acknowledge the digital photograph.

46 . The least one non-transitory computer-readable medium of claim 44 , wherein the computer-executable instructions further cause the at least one processor to identify an article of interest to the user as the media content for display on the daily interactive user interface, and wherein the article is displayed along with a visual prompt requesting that the user interact with the article.

47 . The least one non-transitory computer-readable medium of claim 44 , wherein the computer-executable instructions further cause the at least one processor to determine whether a user interaction was received via the daily interactive user interface at the first client device by determining (i) whether any touch interaction was received at the first client device via the daily interactive user interface, and (ii) whether any audible interaction was received via the first client device.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 7, 2021
From: MUELLER, MARY KAY; SNELL, BETH ANN; QUIGLEY, CARA LAWLOR
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 054846/0242 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 6, 2020
From: LAVALLIER, KAMI
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 054302/0961 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2020
From: DUNSTAN, STEPHEN; MATESEVAC, EDWARD P.; CLARDY, VALLORY; MORRISON, MATTHEW; PATEL, NIRAV; RADICATI, FRANCESCO; MEAD, CAROLINE; SCHACHTER, KELSEY; DUTT, BREA; MEYER, LINDSAY; SANTANA, LENY; COLEMAN, MARTA; PIZZO, CHRISTINE
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 053530/0725 →