Game System Role Evaluation and Participant Limiting
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Solution Overview
Problem
In multiplayer soccer games, poorly trained or malicious users who do not perform their assigned roles effectively can disrupt the gaming experience for others, leading to dissatisfaction among participants.
Innovation Solution
A game system that assigns roles to users, evaluates their gameplay based on set criteria, and limits the number of participants they can play with based on their past performance, ensuring that users who do not meet expectations play with fewer opponents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of participants in a multiplayer game is increased, then the game becomes more exciting and engaging, but the likelihood of poorly trained or malicious users disrupting the game increases
Solution Approach 1:
The system performs preliminary evaluation of user game play history before allowing participation in multiplayer games. The evaluation unit assesses past performance metrics and assigns an evaluation result that determines the maximum number of other users the evaluated user can play with, preventing problematic users from joining large games in advance.
Solution Approach 2:
The system dynamically changes the parameter of maximum playable participants based on the evaluated user's performance history. Users with higher evaluation results can play with more participants, while those with lower evaluations are restricted to smaller games, creating a variable participation threshold that adapts to user skill levels.
2Productivity
If users with poor game play performance are allowed to participate in games with many users, then more users can enjoy the game, but other users feel displeased due to poor performance
Solution Approach 1:
The system applies different quality standards to different users based on their individual evaluation results. Each user has a personalized maximum participant threshold derived from their performance history, creating localized quality control rather than a uniform restriction applied to all users.
Solution Approach 2:
The system continuously monitors user game play performance and updates evaluation results based on past performance. This feedback loop allows the system to adjust participation limits dynamically, rewarding improved performance and restricting problematic behavior over time.
3Reliability
If a strict evaluation system is implemented to ensure game quality, then user satisfaction improves, but the complexity of the game system increases
Solution Approach 1:
The evaluation system operates autonomously by automatically analyzing user game play data, calculating performance metrics, and determining participation limits without requiring manual intervention. The system serves itself by using its own collected data to make evaluation decisions, reducing operational complexity.
Solution Approach 2:
The evaluation result acts as an intermediary parameter that mediates between user skill level and game participation. Rather than directly controlling complex game mechanics, the system uses this intermediate evaluation metric to simplify the decision-making process for matching users to appropriate game instances.
Data Source
AI summary
A game system executes a game for a plurality of users to participate in. A role assigning unit assigns a role in a game to a user. An evaluation unit evaluates a game play of the user in the game, based on an evaluation criterion that is set based on a role assigned to the user by the assigning unit. A limiting unit limits a number of users, other than the user, who are able to participate in the game, based on an evaluation result by the evaluation unit on a game play of the user in a game in the past.