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US 2025/0050222 A1Published application
In-game asset tracking using nfts that track impressions across multiple platforms
AssigneeSony Interactive Entertainment Inc.
InventorsWarren Benedetto, Yiwei Yang, Daniel Steven Hiatt, Charles Denison, Joshua Santangelo, Matthew Tomczek, Jonathan Webb, Benjamin Andrew Rottler
Life of this patent
Estimating the term…
Abstract
Data processing/GUIs for NFT block chain data to “tell the story” of ownership or highlight “cool” aspects of a computer game-related NFT in simplified way. Machine learning (ML) may be used to boil down the complexity of data to what people need or want to understand. The displayed timeline of ownership as presented in a GUI can be interactive. Types of metadata to encapsulate in the NFT are discussed.
Claims20
A device, comprising:
- at least one computer readable storage medium that is not a transitory signal and that comprises instructions executable by at least one processor to:
- input, to at least one machine learning (ML) model, at least one non-fungible token (NFT) representing at least one digital asset related to at least one computer simulation;
- receive, from the at least one ML model, data indicating information from the at least one NFT, the data indicating inferred interesting past aspects in a lifetime of the at least one NFT but not indicating all past aspects in the lifetime of the at least one NFT, a first interesting past aspect in the lifetime of the at least one NFT being inferred based on how many people accomplished an in-game task associated with the at least one digital asset;
- and
- present, on at least one computer display, information indicating the first interesting past aspect in the lifetime of the at least one NFT.
2 more elements
A method, comprising:
- inputting, to at least one machine learning (ML) model, at least one non-fungible token (NFT) representing at least one digital asset related to at least one computer simulation;
- receiving, from the at least one ML model, data indicating information from the at least one NFT, the data indicating inferred interesting past aspects in a lifetime of the at least one NFT but not indicating all past aspects in the lifetime of the at least one NFT, a first interesting past aspect in the lifetime of the at least one NFT being inferred based on how many people accomplished an in-game task associated with the at least one digital asset;
- and
- presenting, on at least one computer display, information indicating the first interesting past aspect in the lifetime of the at least one NFT.
1 more element
An assembly, comprising:
- at least one display;
- and
- at least one processor programmed with instructions to:
- input, to at least one machine learning (ML) model, at least one non-fungible token (NFT) representing at least one digital asset related to at least one computer simulation;
- receive, from the at least one ML model, data indicating information from the at least one NFT, the data indicating inferred interesting past aspects in a lifetime of the at least one NFT but not indicating all past aspects in the lifetime of the at least one NFT, a first interesting past aspect in the lifetime of the at least one NFT being inferred based on how many people accomplished an in-game task associated with the at least one digital asset;
- and
- present, on at least one computer display, information indicating the first interesting past aspect in the lifetime of the at least one NFT.
4 more elements
Dependencies are inferred from the claim text.