Procedural Digital Object Generation via User-Specific Parameters

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Solution Overview

Problem

Existing technologies for generating unique digital objects lack the ability to distinguish between random and creatively generated outputs, leading to repetitive digital objects due to reliance on preset components.

Innovation Solution

A system that uses user-specific parameters and one-way functions to generate unique procedurally generated digital objects, allowing users to submit their own input and incorporating time-based and location-based modifications to enhance uniqueness and personalization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If random elements are used to generate digital objects, then generation speed is improved, but uniqueness and human appreciation are worsened

Engineering Contradiction:
Improvegeneration speedVSAvoiduniqueness and human appreciation
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent changes the input parameters from pure random values to user-specific parameters (username, location, time) that are transformed through one-way functions. This maintains the computational efficiency of random generation while ensuring uniqueness and human appreciation through personalized inputs.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces one-way functions as intermediary components between the random generation process and the final digital object. These functions transform user-specific parameters into unique digital objects while maintaining the efficiency of the generation process.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of manufacture

If preset components are used for procedural generation, then ease of manufacture is improved, but creativity and uniqueness are worsened

Engineering Contradiction:
Improveease of generationVSAvoidcreativity and uniqueness
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent extracts the limitation of preset components by removing the constraint of pre-defined element combinations. Instead of assembling from presets, the system generates objects directly from user-specific parameters through one-way functions, eliminating repetition while maintaining ease of generation.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the generation approach from assembling preset components to transforming user-specific parameters. This parameter transformation approach maintains ease of generation while achieving true uniqueness and creativity without repetition.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If user-specific parameters are used for generation, then uniqueness and personalization are improved, but system complexity is worsened

Engineering Contradiction:
Improveuniqueness and personalizationVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces one-way functions as simple intermediary components that transform user-specific parameters into unique digital objects. This adds minimal complexity while achieving high uniqueness and personalization, as the one-way functions are standard cryptographic primitives.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent uses one-way functions to create a computational copy transformation that maps user-specific parameters to unique digital objects. This copying approach maintains simplicity by using mathematical transformations rather than complex processing systems.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS12219063B2Event signifiers connected to social- or group-based visual representations of cryptographic objects
Publication Date: 2025.02.04 EMOJI ID LLC
  • US12219063B2 patent drawing
  • US12219063B2 patent drawing
  • US12219063B2 patent drawing

AI summary

Aspects of the preset document relate to social or group-based presentation of cryptographic objects. Cryptographic objects linked to members of a group are visually represented to each group member, such as in a “binder”-like presentation. Further, group activity related to the cryptographic objects is also presented to each group member. Specific object events of the group activity are detected based on searching an immutable cryptographic ledger. The object events are categorized according to value and volume of the cryptographic objects involved in the object events. With this event data (and event data for other related object events), event signifiers are assigned to object events and presented to group members. Example event signifiers include audio, persistent visuals, and/or dynamic visuals that are connected to visual representations of the cryptographic objects involved in the object events.