Authenticity Score for Virtual Avatars
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Solution Overview
Problem
Conventional virtual world environments lack the ability to validate and quantify the difference between a user's virtual and actual appearances, allowing for misrepresentation and anonymity that can lead to interactions under false pretenses, such as cyber-predation.
Innovation Solution
A system and method that calculates an authenticity score by comparing a user's virtual representation with their physical characteristics, using user representational authenticity data collected and validated by third-party agencies or automated mechanisms, to determine the degree of resemblance and influence interaction rules within the virtual world.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are allowed to create customized avatars with wide graphical options, then user freedom and self-expression are improved, but misrepresentation and anonymity increase allowing interactions under false pretenses
Solution Approach 1:
The patent introduces a third-party verification service as an intermediary between users and the virtual world environment. This service collects physical biometric data (photographs, video, DNA samples) and verifies it against the avatar representation. The intermediary maintains a database of verified user information and provides authentication scores that mediate interactions, allowing customized avatars while ensuring representational authenticity through external verification.
Solution Approach 2:
The patent replaces manual self-declaration methods (users entering their own information) with automated biometric verification systems. Instead of relying on users to accurately input their own physical characteristics, the system uses automated image processing, video analysis, and DNA matching to objectively determine the correspondence between physical appearance and virtual representation, substituting human self-reporting with mechanical/automated verification.
2Ease of operation
If user-entered information such as birth date is collected for account creation, then basic identification is achieved, but the information is easily faked by users
Solution Approach 1:
The patent creates a verified copy of the user's physical characteristics through biometric data collection (photographs, video recordings, DNA samples). Instead of relying on the original user-provided information which can be fabricated, the system creates an authenticated reference copy of the user's actual physical traits. This verified copy is then used to validate avatar representations, ensuring that the information about the user's appearance and characteristics is accurate and cannot be easily faked.
Solution Approach 2:
The verification service acts as an intermediary that independently collects and validates user physical characteristics. Rather than accepting user-self-provided information at face value, the intermediary service obtains physical biometric data directly from users through controlled processes (photograph taking, video recording, DNA sampling) and uses this verified information to authenticate user identities and avatar representations.
3Loss of information
If photographs are required to be submitted to associate with user accounts, then visual identification is provided, but the photographs cannot be validated or quantified to determine differences between virtual and actual appearances
Solution Approach 1:
The patent segments the verification process into multiple independent components: photograph collection, video recording, DNA sampling, and automated comparison analysis. Instead of relying on a single photograph submission, the system divides verification into multiple data collection points (visual, behavioral, biological) and processes them separately through specialized algorithms that can quantify and compare different aspects of appearance and characteristics.
Solution Approach 2:
The patent transforms the verification process from qualitative (yes/no match) to quantitative by introducing authentication scores and similarity percentages. The system changes the measurement parameters from simple binary verification to continuous numerical scales that quantify the degree of resemblance between physical biometric data and avatar representations, enabling precise measurement of appearance differences and verification confidence levels.
Data Source
AI summary
A visual representation of a human user for display within one or more graphical user interfaces to others interacting with the human user over a network can be identified. An authenticity score defining a degree of resemblance between the visual representation of the human user and physical characteristics of the human user can be calculated.