Virtual Space Ad Selection via Avatar Action Analysis
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Solution Overview
Problem
Existing advertisement management systems in virtual spaces face challenges in effectively targeting and displaying advertisements that interest multiple users interacting via avatars, as they struggle to analyze and synchronize user actions and conversations to provide relevant ads.
Innovation Solution
An advertisement management system that includes a detection unit to identify associated avatars, an analysis unit to analyze common actions and conversations, a selection unit to choose suitable ads based on these analyses, and an output unit to display the ads in the virtual space, using attributes of users and virtual spaces to enhance relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisement is displayed in virtual space without analyzing user actions and conversations, then advertisement output is simple and fast, but advertisement effectiveness and user engagement are low
Solution Approach 1:
The system performs preliminary analysis of user actions and conversations before selecting advertisements. The detection unit identifies user behaviors in advance, the analysis unit processes this data to understand user intent, and the selection unit chooses appropriate advertisements based on these pre-analyzed insights, ensuring effective ad delivery without compromising system performance
Solution Approach 2:
The advertisement management system is divided into distinct functional units: detection unit for identifying user actions, analysis unit for processing conversation and behavior data, selection unit for choosing appropriate advertisements, and output unit for delivering ads. This segmentation allows each component to specialize in specific tasks, improving overall system effectiveness while maintaining manageable complexity through modular architecture
2Adaptability or versatility
If advertisement selection is based on detailed analysis of multiple users' actions and conversations, then advertisement relevance to users is improved, but processing time and computational resources increase
Solution Approach 1:
The detection unit continuously monitors and preliminarily processes user actions and conversations in the virtual space, preparing structured data in advance. This preliminary processing allows the analysis and selection units to quickly retrieve and utilize pre-organized information when advertisement selection is needed, reducing real-time processing delays while maintaining high relevance
Solution Approach 2:
The system analyzes specific local aspects of user behavior relevant to advertisement selection, such as particular actions, conversation topics, and interaction patterns, rather than processing all possible user data uniformly. This focused analysis approach improves advertisement relevance by concentrating computational resources on the most informative features while reducing overall processing time
Data Source
AI summary
An advertisement management system includes a detection unit, an analysis unit, a selection unit, and an output unit. The detection unit detects avatars associated with each other in a virtual space to which an advertisement is output. The analysis unit analyzes at least one of an action common to the avatars detected by the detection unit and a conversation content between the avatars. The selection unit selects an advertisement for a plurality of users participating in the virtual space by operating each avatar based on the analysis result. The output unit outputs an advertisement to be displayed in the virtual space based on the selection result.