Team Game Information Processing System with Dynamic Parameter Updates
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Solution Overview
Problem
Current games lack variety in play styles for team competition events, where users are limited in how they can engage with team-based content and rewards.
Innovation Solution
An information processing system that allows users to select their team and content, updating parameters based on association, offering different game modes and rewards regardless of content ownership, enabling various play styles and strategic team contributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users are restricted to using only their own team's content in team competitions, then team loyalty and strategic depth are improved, but user engagement and play style variety deteriorate
Solution Approach 1:
The system dynamically adjusts parameter update rules based on the relationship between used content and team affiliation. When content belongs to the user's team, team parameters are updated; when content belongs to other teams, individual parameters are updated. This dynamic rule adjustment provides diverse play styles while maintaining clear, manageable complexity through context-dependent behavior.
Solution Approach 2:
Different parameter update rules are applied to different parameters based on local conditions. Team parameters (first parameters) are updated only when team-aligned content is used, while individual parameters (second parameters) are updated regardless of content origin. This local differentiation enables versatile play styles without requiring complex global rule changes.
2Ease of operation
If team parameters are updated only when using team-associated content, then team strategy importance is improved, but user flexibility and engagement deteriorate
Solution Approach 1:
The reward system is segmented into two independent tracking mechanisms: team parameters that reflect team competition contributions and individual parameters that reflect personal game performance. This segmentation allows users to flexibly choose content based on strategy while earning appropriate rewards, without requiring a single complex integrated system.
Solution Approach 2:
The system provides dual feedback loops: team parameter updates give feedback on strategic team contributions, while individual parameter updates and rewards provide feedback on personal performance. This multi-layered feedback system enhances user flexibility and engagement by recognizing both team-oriented and individual achievements through distinct but complementary mechanisms.
3Reliability
If multiple parameter types are tracked for both team and individual performance, then reward accuracy and fairness are improved, but system complexity increases
Solution Approach 1:
The system manages multiple parameter types (first parameters for teams, second parameters for individuals) with clearly defined update conditions. First parameters change only under specific team-aligned content usage, while second parameters change under broader conditions. This structured parameter management approach ensures reliable and fair reward distribution while maintaining manageable system complexity through consistent update logic.
Data Source
AI summary
During a predetermined period, a team competition event is held. If a game regarding the team competition event is performed using a character belonging to a user team to which a user belongs, the user can acquire team medals, and the team medals are added to the user team. If, on the other hand, the game is performed using a character belonging to a team other than the user team to which the user belongs, the team medals are not added to the user team. After the lapse of the predetermined period, in accordance with team medals of each team, the result of the team competition event is displayed.