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US-20260127786-A1 - AI-GENERATED MEDIA AFTER PLAY

US20260127786A1US 20260127786 A1US20260127786 A1US 20260127786A1US-20260127786-A1

Abstract

An artificial intelligence (AI) module captures gameplay to create personalized media including a child's storybook to motivate children to read based on their own game play, audio books and podcasts to listen to while commuting, memes/gifs to share online to friends, music while exercising, and screen saver highlight movies for work PCs to extend immersion and enjoyment of games after play.

Inventors

  • Jeff Stafford

Assignees

  • SONY INTERACTIVE ENTERTAINMENT INC.

Dates

Publication Date
20260507
Application Date
20241105

Claims (20)

  1. 1 . An apparatus comprising: at least one processor system configured to: identify game play records generated from play of at least one computer game; and based at least in part on the game play records, generate content.
  2. 2 . The apparatus of claim 1 , wherein the processor system is configured to: generate the content based at least in part on additional content in addition to the game play records.
  3. 3 . The apparatus of claim 1 , wherein the processor system is configured to: execute a first generative model to generate text based on the game play records; and execute a second generative model to generate the content based at least in part on the text generated by the first generative model.
  4. 4 . The apparatus of claim 1 , wherein the content comprises a storybook with text and images.
  5. 5 . The apparatus of claim 1 , wherein the content comprises a podcast episode.
  6. 6 . The apparatus of claim 1 , wherein the content comprises an audio book.
  7. 7 . The apparatus of claim 1 , wherein the content comprises a meme.
  8. 8 . The apparatus of claim 1 , wherein the content comprises a gif.
  9. 9 . The apparatus of claim 1 , wherein the content comprises music.
  10. 10 . The apparatus of claim 1 , wherein the content comprises a highlight video.
  11. 11 . An apparatus comprising: computer memory that is not a transitory signal and that comprises instructions executable by at least one processor system to: execute at least a first generative model (GM) to generate a text summary of records of play of at least one computer game; and execute at least a second GM to generate content based at least in part on the text summary generated by the first GM.
  12. 12 . The apparatus of claim 11 , wherein the instructions are executable to: generate the content based at least in part on additional content in addition to the records.
  13. 13 . The apparatus of claim 11 , wherein the content comprises a storybook with text and images.
  14. 14 . The apparatus of claim 11 , wherein the content comprises a podcast episode.
  15. 15 . The apparatus of claim 11 , wherein the content comprises an audio book.
  16. 16 . The apparatus of claim 11 , wherein the content comprises a meme.
  17. 17 . The apparatus of claim 11 , wherein the content comprises a gif.
  18. 18 . The apparatus of claim 11 , wherein the content comprises music.
  19. 19 . The apparatus of claim 11 , wherein the content comprises a highlight video.
  20. 20 . A method, comprising: receiving game play records representing records of computer game play; and generating content based on the game play records.

Description

FIELD The present application relates generally to AI-generated media after game play. BACKGROUND With the increasing prevalence of computer games or video games, a great deal of user-centric data may be generated. SUMMARY As understood herein, this user-centric data flowing from the user's play of computer games may be leveraged to provide further relevant audio video (AV) content for the user. Accordingly, an apparatus includes at least one processor system configured to identify game play records generated from play of at least one computer game, and based at least in part on the game play records, to generate content. In some embodiments the processor system can be configured to generate the content based at least in part on additional content in addition to the game play records. In non-limiting examples the processor system may be configured to execute a first generative model to generate text based on the game play records, and execute a second generative model to generate the content based at least in part on the text generated by the first generative model. In example implementations that content generated from the game play records can include one or more of a storybook with text and images, a podcast episode, an audio book, a meme, a gif, music, a highlight video. In another aspect, an apparatus includes computer memory that is not a transitory signal and that in turn includes instructions executable by at least one processor system to execute at least a first generative model (GM) to generate a text summary of records of play of at least one computer game, and execute at least a second GM to generate content based at least in part on the text summary generated by the first GM. In another aspect, a method includes receiving game play records representing records of computer game play, and generating content based on the game play records. The details of the present application, both as to its structure and operation, can be best understood in reference to the accompanying drawings, in which like reference numerals refer to like parts, and in which: BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of an example system in accordance with present principles; FIG. 2 illustrates an example system for generating content such as audio video (AV) content from game play records; FIG. 3 illustrates example overall logic in example flow chart format; FIG. 4 illustrates example logic in example flow chart format for generating a podcast from game play records; FIG. 5 illustrates an example child's book generated from game play records; FIG. 6 illustrates an example user interface (UI) for acquiring user preferences for generating content from game play records; FIG. 7 illustrates example logic in example flow chart format for training a machine learning (ML) model such as a generative model such as a large language model (LLM) to generate summaries of game play records; FIG. 8 illustrates example logic in example flow chart format for training an ML model such as a generative model such as an LLM to generate content from summaries of game play records; FIG. 9 illustrates additional example logic in example flow chart format FIG. 10 illustrates an example digital storybook; and FIG. 11 illustrates an example hard copy storybook. DETAILED DESCRIPTION This disclosure relates generally to computer ecosystems including aspects of consumer electronics (CE) device networks such as but not limited to computer game networks. A system herein may include server and client components which may be connected over a network such that data may be exchanged between the client and server components. The client components may include one or more computing devices including game consoles such as Sony PlayStation®or a game console made by Microsoft or Nintendo or other manufacturer, extended reality (XR) headsets such as virtual reality (VR) headsets, augmented reality (AR) headsets, portable televisions (e.g., smart TVs, Internet-enabled TVs), portable computers such as laptops and tablet computers, and other mobile devices including smart phones and additional examples discussed below. These client devices may operate with a variety of operating environments. For example, some of the client computers may employ, as examples, Linux operating systems, operating systems from Microsoft, or a Unix operating system, or operating systems produced by Apple, Inc., or Google, or a Berkeley Software Distribution or Berkeley Standard Distribution (BSD) OS including descendants of BSD. These operating environments may be used to execute one or more browsing programs, such as a browser made by Microsoft or Google or Mozilla or other browser program that can access websites hosted by the Internet servers discussed below. Also, an operating environment according to present principles may be used to execute one or more computer game programs. Servers and/or gateways may be used that may include one or more processors executing instr