Spam Avatar Identification via Multimedia Analysis
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Solution Overview
Problem
In virtual universes, automated advertising avatars can impede user interactions and devalue virtual property by sending unsolicited messages, similar to spam, and there is a need for a method to identify and manage these spam avatars effectively.
Innovation Solution
A system and method for identifying spam avatars in a virtual universe by analyzing their multimedia characteristics, such as graphics, audio, video, and movement, and calculating a spam score to determine if an avatar is spam based on similarities with known spam avatars, using a combination of recognition units and a scoring system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated advertising avatars are deployed in virtual universes, then advertising reach and commercial transaction opportunities increase, but user interaction quality deteriorates and virtual property values are devalued due to spam
Solution Approach 1:
The system performs preliminary analysis of avatar multimedia characteristics before the avatar begins spamming activities. By retrieving and analyzing graphics, audio, video, and movement patterns in advance, the system calculates a spam score and identifies potential spam avatars before they can impede user interactions or devalue virtual property.
Solution Approach 2:
The patent introduces a multimedia analysis system as an intermediary between spam avatars and users. This intermediary analyzes avatar characteristics through multiple recognition units (graphics, audio, video, movement) and calculates spam scores, acting as a filter that blocks harmful spam avatars while allowing legitimate advertising avatars to operate.
2Measurement precision
If multimedia analysis is performed on avatars to identify spam, then identification accuracy improves, but system complexity and processing time increase
Solution Approach 1:
The analysis system is segmented into multiple independent recognition units, each handling a specific multimedia characteristic: graphics recognition unit, audio recognition unit, video recognition unit, and movement recognition unit. This segmentation allows parallel processing of different avatar characteristics, improving identification accuracy while managing system complexity through modular design.
Solution Approach 2:
The analysis system uses a universal spam score calculation mechanism that integrates multiple types of multimedia characteristics (graphics, audio, video, movement) through a single scoring framework. This multi-functional approach allows the system to analyze diverse avatar types using the same core algorithm, reducing overall system complexity.
Data Source
AI summary
A system and method in a virtual universe (VU) system for identifying spam avatars based upon the avatars' multimedia characteristics may have a table that stores multimedia characteristics of known spam avatars. It further may have an analysis unit that compares the multimedia characteristics of avatars against the multimedia characteristics of known spam avatars to determine if the avatar has known spam avatar characteristics. It may further have a scoring system to calculate a spam score based upon the similarities of the comparison and identifying the avatar as a spam avatar based upon the calculated spam score. It may further compare the calculated spam score with a spam score threshold wherein the avatar is identified as a spam avatar if the calculated spam score is equal to or greater than the calculated spam score. Multimedia characteristics include graphics, audio, movement, interactivity, voice, etc.