Game Progress Update Using Multi-Criteria Region Evaluation
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Solution Overview
Problem
Existing position information games often lead to unfair situations among players due to inconsistent criteria for updating game progress, such as relying solely on the size or number of regions acquired.
Innovation Solution
An information processing program that acquires multiple types of values related to the scale of regions acquired by players, including index values and region counts, and updates game progress using these values, with thresholds set based on the current progress level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the degree of progress is updated according to a single criterion (e.g., only size of regions acquired), then the update process is simple, but unfair situations occur among players
Solution Approach 1:
The progress update mechanism is segmented into multiple independent evaluation criteria: region acquisition count, region area size, and region population density. Each criterion is evaluated separately and contributes to the overall progress determination, allowing the system to maintain simplicity in individual measurements while achieving fairness through their combination
Solution Approach 2:
The system changes from using a single parameter (e.g., only region size) to using multiple parameters (count, area, population density) for progress evaluation. This parameter expansion allows the system to capture different aspects of player achievement and resolve unfairness while keeping each individual parameter measurement simple
2Reliability
If multiple types of values are used to update the degree of progress, then fairness among players is improved, but the system complexity increases
Solution Approach 1:
The complex evaluation system is segmented into distinct, independently measurable components: region count, region area, and population density. Each segment can be measured and updated separately, reducing the operational complexity while maintaining the fairness benefits of multiple evaluation criteria
Solution Approach 2:
The progress update system is designed to be multi-functional, using the same basic data collection infrastructure to gather multiple types of values (count, area, density) from region acquisition events. This universal approach allows the system to handle diverse evaluation criteria without proportionally increasing complexity
Data Source
AI summary
An information processing program causes a computer to execute, in a game in which a player enters a divided region and the player acquires the region when a predetermined condition is satisfied, the game using position information, acquiring a plural types of values related to scale of the region acquired by the player, and updating a degree of progress of the game of the player by using at least one value of the plural types of values.