Virtual Space Billing System for Fair Revenue Allocation
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Solution Overview
Problem
Existing billing systems for virtual spaces face challenges in appropriately allocating revenue related to avatar actions, as they fail to accurately determine the contribution of objects within the virtual environment to the revenue generated, leading to unfair distribution among entities managing and arranging these spaces.
Innovation Solution
A billing system that includes a detection unit to monitor avatar actions, an estimation unit to assess the degree of contribution of objects to revenue, and a determination unit to allocate revenue based on this estimation, ensuring fair distribution among related entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If revenue is allocated based on simple registration of billing information, then the billing process is simple, but the revenue allocation is unfair and inaccurate
Solution Approach 1:
The system performs preliminary detection of avatar actions and preliminary estimation of object contributions before final revenue allocation. This allows the system to establish accurate contribution metrics in advance, ensuring fair revenue distribution while maintaining a streamlined billing process.
Solution Approach 2:
The system introduces an intermediary estimation process that analyzes the relationship between avatar actions and object contributions. This intermediary layer translates raw action data into meaningful contribution metrics, enabling accurate revenue allocation without complicating the overall billing flow.
2Measurement precision
If the system tracks detailed avatar actions to determine object contribution, then revenue allocation accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the billing process into distinct functional units: detection unit for tracking avatar actions, estimation unit for calculating object contributions, and allocation unit for distributing revenue. This segmentation allows each unit to focus on a specific task, improving accuracy while managing complexity through modular design.
Solution Approach 2:
The system implements feedback mechanisms where detection results inform estimation calculations, which in turn guide revenue allocation decisions. This feedback loop ensures accurate contribution measurement while automating the process, reducing the need for complex manual intervention.
3Speed
If the system processes all avatar actions in real-time, then revenue allocation timeliness improves, but processing load increases
Solution Approach 1:
The system applies partial processing by focusing computational resources on detecting and estimating only those avatar actions that result in revenue-generating events. Rather than processing all possible avatar actions equally, the system selectively processes relevant actions, improving timeliness while reducing unnecessary computational overhead.
Data Source
AI summary
The billing system includes a detection unit, an estimation unit, a determination unit, and an output unit. The detection unit detects an action of an avatar on an object in a virtual space based on a detection result of the action of the avatar. The estimation unit estimates a degree of contribution of the object to the revenue generated by the action of the avatar in the virtual space. The determination unit determines an allocation of revenue generated in the virtual space to a related entity based on the estimated degree of contribution of the object. The output unit outputs the determined allocation.