Adaptive Avatar Rendering Across Multiple Digital Environments
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Solution Overview
Problem
Existing systems require users to create and manage multiple avatars for different digital environments, which is inefficient and reduces the value of avatars, as they cannot provide contextually relevant identities and consistent looks across environments.
Innovation Solution
A system and method that enables a single avatar to be adapted and re-rendered in multiple environments by providing data about its components, allowing service providers to automatically customize the avatar to match each environment's art set, while users only need to create an avatar once.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users create separate avatars for each digital environment, then each environment can have a contextually relevant avatar identity, but the time and effort required to create and manage multiple avatars increases significantly
Solution Approach 1:
The avatar is segmented into distinct components (facial features, body parts, clothing, accessories) that can be independently selected and recombined. This segmentation allows the avatar system to efficiently generate contextually appropriate avatars by selecting specific components based on environment requirements, rather than creating entirely separate avatars for each context.
Solution Approach 2:
A single avatar data set serves multiple digital environments through adaptive rendering. The avatar components are designed to be universally applicable across different contexts, with the system automatically adapting the same base avatar to suit various environmental requirements through different rendering styles and component selections.
2Stability of the object's composition
If the same avatar is rendered identically across multiple environments, then consistency is maintained, but the contextual relevance and environment-specific look and feel are lost
Solution Approach 1:
Different parts of the avatar system serve different functions: the core avatar data set maintains consistency and identity, while the rendering engine applies environment-specific transformations and style adaptations. This local differentiation allows simultaneous preservation of avatar identity and adaptation to contextual requirements.
Solution Approach 2:
The system changes rendering parameters (visual style, detail level, component selection) based on environmental context while maintaining the underlying avatar data structure. This allows the same avatar to be rendered differently across environments without altering the fundamental avatar identity or requiring complete recreation.
3Adaptability or versatility
If avatar creation tools are provided in each environment, then users can have contextually relevant avatars, but the device complexity and implementation burden increase
Solution Approach 1:
An intermediary avatar management system is introduced that sits between the user and multiple digital environments. This intermediary handles avatar creation, storage, and adaptive rendering, eliminating the need for each environment to implement its own avatar creation tools while still providing contextually relevant avatars.
Solution Approach 2:
Instead of creating separate avatar instances for each environment, the system creates one master avatar data set that is then copied and adapted for use across multiple environments. This copying approach reduces implementation complexity while maintaining contextual relevance through adaptive rendering of the copied avatar data.
Data Source
AI summary
Among other things, embodiments of the present disclosure provide systems and methods for modifying avatar components of avatar datasets for multiple users, generating avatars based on the datasets, and displaying multiple avatars on a display screen of a graphical user interface.