Notification system with emotion-inciting image generator

Patent metadata

Field	Value
Publication number	US-12518439-B2
Application number	US-202418403451-A
Country	US
Kind code	B2
Filing date	Jan 3, 2024
Priority date	Jan 3, 2024
Publication date	Jan 6, 2026
Grant date	Jan 6, 2026

Abstract

Techniques for generating notifications with emotion-inciting images based on the context of report data, are discussed herein. A notification system may configure components and models to receive report data and analyze the report data for context data. The context data may include contextual information associated with the report data and/or a report recipient. The system may generate an image text prompt based on the context data. The system may use the image text prompt as input for an artificial intelligence (AI) image generator and receive an emotion-inciting image as output. The system may generate a notification for the report data and transmit the notification with the emotion-inciting image.

First claim

What is claimed is:

1 . One or more non-transitory computer-readable media storing computer executable instructions that, when executed, cause one or more processors to perform operations comprising:
receiving report data associated with a notification system; determining one or more notification subscribers to receive a notification alert for the report data; determining first context data of context data associated with the one or more notification subscribers, wherein the first context data includes one or more of a user hobby, a job title, and a notification priority; determining, by using the report data and the context data as input for one or more machine learning (ML) models, image text prompt for an artificial intelligence (AI) image generator, including: determining, by the one or more ML models, second context data of context data associated with the report data, wherein the second context data includes one or more of a department information, a report type, and a report audience; determining, by the one or more ML models, an interpreted tone of the report data, wherein the interpreted tone indicates one or more of a positive tone, a negative tone, and a severity level; generating, using the AI image generator with the image text prompt as input, an emotion-inciting image; and transmitting the notification alert with the emotion-inciting image.

2 . The one or more non-transitory computer-readable media of claim 1 , wherein determining the second context data comprises:
determining to retrieve a user profile associated with the one or more notification subscribers; receiving, from a subscriber database, the user profile; and determining to analyze the user profile for identifying the second context data.

3 . The one or more non-transitory computer-readable media of claim 1 , wherein the operations further comprise:
determining a system policy based on the department information; and determining, based at least in part on the system policy, to modify the image text prompt.

4 . The one or more non-transitory computer-readable media of claim 1 , wherein the operations further comprise:
receiving user feedback for the emotion-inciting image; and storing the user feedback with the report data, the image text prompt, and the emotion-inciting image as training data.

5 . The one or more non-transitory computer-readable media of claim 4 , wherein the operations further comprise:
determining to retrain the one or more ML models using the training data.

6 . A method comprising:
receiving report data associated with a notification system; determining a subscriber account to receive a notification alert for the report data; determining first context data of context data associated with the subscriber account; determining, by one or more machine learning (ML) models based at least in part on a content of the report data, second context data of context data; determining, by the one or more machine learning (ML) models based at least in part on the report data, an interpreted tone of the report data, wherein the interpreted tone indicates one or more of a positive tone, a negative tone, and a severity level; determining, by the one or more machine learning (ML) models based at least in part on the context data and the interpreted tone, image text prompt for an artificial intelligence (AI) image generator; and generating, by the AI image generator with the image text prompt as input, an emotion-inciting image.

7 . The method of claim 6 , wherein transmitting the notification alert further comprises:
determining a communication method for the notification alert; determining, based at least in part on the communication method, to generate a reduced resolution image of the emotion-inciting image; and transmitting the notification alert with the reduced resolution image.

8 . The method of claim 6 , further comprising:
transmitting the notification alert with the emotion-inciting image; receiving user feedback for the emotion-inciting image; and storing the user feedback with the report data, the image text prompt, and the emotion-inciting image as training data.

9 . The method of claim 8 , further comprising:
generating one or more second ML models using the training data, wherein the one or more second ML models adjusts one or more weights associated with one or more context data.

10 . The method of claim 6 , wherein the severity level is determined based at least in part by meeting a predetermined threshold value range.

11 . The method of claim 6 , wherein the severity level is determined based at least in part by exceeding a historical threshold value.

12 . The method of claim 6 , wherein the context data includes one or more of a user hobby, a job title, a notification priority, a department information, a report type, and a report audience.

13 . The method of claim 12 , further comprising:
determining a system policy based on the department information; and determining, based at least in part on the system policy, to modify the image text prompt.

14 . A system comprising:
one or more processors; a memory; and one or more components stored in the memory and executable by the one or more processors to perform operations comprising:
receiving report data associated with a notification system;
determining a subscriber account to receive a notification alert for the report data;
determining first context data of context data associated with the subscriber account, wherein the first context data includes one or more of a user hobby, a job title, and a notification priority;
determining, by an image-generating model based at least in part on the report data, second context data of context data associated with the report data, wherein the second context data includes one or more of a department information, a report type, and a report audience;
determining, by the image-generating model based at least in part on the report data, an interpreted tone of the report data, wherein the interpreted tone indicates one or more of a positive tone, a negative tone, and a severity level;
determining, by the image-generating model based at least in part on the context data and the interpreted tone, image text prompt for an artificial intelligence (AI) image generator; and
generating, by the AI image generator with the image text prompt as input, an emotion-inciting image.

15 . The system of claim 14 , wherein determining the first context data comprises:
determining to retrieve a user profile associated with the subscriber account; receiving, from a subscriber database, the user profile; and determining a preferred communication method associated with the subscriber account.

16 . The system of claim 15 , wherein the preferred communication method indicates one of text messaging, email, and notification portal.

17 . The system of claim 16 , the operations further comprising:
determining to modify image quality of the emotion-inciting image based at least in part on the preferred communication method; and transmitting the notification alert with the emotion-inciting image.

18 . The system of claim 14 , wherein the severity level is determined based at least in part on meeting or exceeding a threshold value.

19 . The system of claim 14 , the operations further comprising:
transmitting the notification alert with the emotion-inciting image; receiving user feedback for the emotion-inciting image; and storing the user feedback with the report data, t

Assignees

• T Mobile Usa Inc

Inventors

• Myron Peter P
• Mitchell Michael J

Classifications

• G06N3/0455

  Auto-encoder networks; Encoder-decoder networks · CPC title

• G06F40/205

  Parsing · CPC title

• G06N3/08

  Learning methods · CPC title

• G06F40/30

  Semantic analysis · CPC title

• H04L41/0686 Primary

  Additional information in the notification, e.g. enhancement of specific meta-data · CPC title