Modular Avatar Customization for Accessible Garment and Accessory Design
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Solution Overview
Problem
Existing digital avatar customization systems face challenges in providing accessible interfaces for non-specialist users, limiting the ability to create and customize digital avatars effectively.
Innovation Solution
A computer-implemented method and system that enables users to select, customize, and apply digital garments and accessories to generate a composite digital avatar, allowing entry into virtual competitions, with voting and feedback mechanisms to enhance user engagement and career progression in a fashion design game.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If detailed customization options are provided for digital avatars, then customization capability is improved, but interface complexity increases making it less accessible to non-specialist users
Solution Approach 1:
The customization interface is divided into distinct modular sections, each handling a specific aspect of avatar customization (e.g., body type, clothing, accessories, hairstyle). This segmentation allows users to navigate and control customization options in manageable chunks rather than facing a complex monolithic interface, while still providing comprehensive customization capabilities across multiple dimensions.
Solution Approach 2:
A machine learning-based automated customization system acts as an intermediary between the user and the complex customization parameters. The system automatically adjusts multiple customization parameters based on user preferences and selected characteristics, translating high-level user intentions into detailed customization settings without requiring users to manually navigate complex option trees.
2Adaptability or versatility
If multiple customization parameters are provided, then avatar personalization is improved, but ease of operation deteriorates for non-specialist users
Solution Approach 1:
The system provides self-service functionality where users can select high-level characteristics (e.g., 'I want an athletic build') and the machine learning system automatically determines the appropriate customization parameters without requiring users to manually adjust multiple interconnected sliders and options. This self-service approach maintains comprehensive personalization while dramatically simplifying the operation process.
Solution Approach 2:
The interface incorporates real-time visual feedback showing users how their selections translate into avatar changes, allowing them to immediately see the effect of their choices. This feedback mechanism helps users understand the relationship between their selections and the resulting customization, reducing confusion and improving ease of operation while maintaining detailed personalization options.
Data Source
AI summary
In some implementations, a computer system may cause the presentation of a computer-guided process to enable a user to select a digital avatar, apply digital garment to the digital avatar, altar the digital garment as applied to the digital avatar and apply digital accessories to the digital avatar in order to generate a composite digital avatar. The computer system may cause the presentation of a user interface to allow a user to selectively enter the composite digital avatar into a virtual competition. The computer system may receive electronic votes, for the composite digital avatar and within the virtual competition, from a plurality of users of a social network platform. The computer system may determine and present an outcome of the virtual competition on the social networking platform.