Server Totalization for Cross-Device Game Privilege Distribution
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Solution Overview
Problem
Conventional information processing systems lack the ability to effectively enhance the convenience and interest of applications across different types of information processing apparatuses, such as game machines and smartphones, by not providing a mechanism for data totalization and privilege distribution across these platforms.
Innovation Solution
An information processing system that includes multiple types of information processing apparatuses and a server system, where the apparatuses perform game processing, transmit data to the server for totalization, and receive totalization results to perform additional processing, enabling linkage between different types of devices and enhancing application convenience and interest through privilege grants based on totalization results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data totalization and privilege distribution mechanisms are implemented across different types of information processing apparatuses, then application convenience and interest are improved, but system complexity increases
Solution Approach 1:
A server system is introduced as an intermediary between multiple information processing apparatuses (game machines, smartphones, tablets). The server receives data from various devices, performs totalization processing, and distributes privileges back to the devices. This mediator approach enables cross-platform data integration and privilege distribution without requiring direct complex interactions between different device types, thus improving adaptability while managing system complexity through centralized coordination.
2Adaptability or versatility
If multiple types of information processing apparatuses are integrated into a unified system, then linkage and interaction between devices are enhanced, but data management complexity increases
Solution Approach 1:
The server system is designed with universal functionality to handle data from multiple types of information processing apparatuses (game machines, smartphones, tablets). It performs multiple functions including data reception from different device types, totalization processing of diverse data formats, and privilege distribution to various devices. This multi-functional design enables unified data management across heterogeneous devices without requiring separate specialized systems for each device type.
3Productivity
If real-time totalization processing is performed for data from multiple game processing apparatuses, then user engagement is improved, but processing time and system load increase
Solution Approach 1:
The server system performs totalization processing at periodic intervals rather than in real-time for every data submission. Multiple information processing apparatuses can submit data asynchronously, and the server accumulates data and performs batch totalization processing at predetermined intervals. This periodic approach maintains user engagement by eventually reflecting all contributions while reducing immediate processing time requirements and system load compared to strict real-time processing.
Data Source
AI summary
An example of an information processing system includes a plurality of game machines, a smartphone, and a server system. Game processing is performed in the game machines, and information based on the game processing is transmitted to the server system. The server system totalizes the information transmitted from the respective game machines, and transmits a totalization result to the smartphone. In the smartphone, the received totalization result is displayed on a screen.