Contribution Degree Calculation Using Biological and Game Data
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Solution Overview
Problem
Existing methods for evaluating players in video games struggle to accurately assess contributions, especially in team-based games where role sharing and communication complicate traditional evaluation metrics.
Innovation Solution
A contribution degree calculation apparatus that combines biological information, such as heart rate and speech patterns, with game data to calculate a player's influence, mental load, and overall contribution, using indices like influence degree, excitement degree, and game index.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional evaluation metrics are used to assess player contributions, then the evaluation system is simple and easy to implement, but it cannot accurately assess contributions in team-based games where role sharing and communication complicate traditional evaluation metrics
Solution Approach 1:
The evaluation system is segmented into multiple independent components: biological information acquisition module, game data acquisition module, influence degree calculation module, excitement degree calculation module, and contribution degree calculation module. Each module handles a specific aspect of player evaluation, allowing complex assessment to be broken down into manageable parts that can be implemented and maintained separately while collectively achieving accurate contribution measurement
Solution Approach 2:
The patent introduces biological information (heart rate, speech patterns) as intermediary indicators that mediate between raw game data and final contribution assessment. These physiological and behavioral markers serve as intermediate measurements that reflect player engagement, influence, and excitement levels, bridging the gap between observable game actions and underlying player contribution without requiring direct complex analysis of all game interactions
2Loss of information
If only game data is used for evaluation, then the evaluation system is simple to implement, but it cannot capture the influence and mental load of players which are reflected in biological information
Solution Approach 1:
The system merges two previously separate data streams: traditional game data (scores, positions, actions) and biological information (heart rate, speech patterns). By combining these diverse data sources through a unified calculation framework that integrates influence degree and excitement degree metrics, the system recovers lost information about player contribution without requiring complete redesign of existing game data collection infrastructure
Solution Approach 2:
The system establishes feedback loops where biological information continuously informs the evaluation of player influence and mental load. Speech pattern analysis provides feedback on player communication effectiveness, while heart rate variability feedback indicates arousal and engagement levels. This feedback mechanism allows the system to dynamically adjust contribution assessments based on real-time physiological responses rather than relying solely on static game data
Data Source
AI summary
A contribution degree calculation apparatus calculates a contribution degree of each of a plurality of players in a video game in which the plurality of players participate. The contribution degree calculation apparatus includes: a biological information obtainer configured to obtain biological information respectively corresponding to the plurality of players; a game data obtainer configured to obtain game data generated by the plurality of players playing the video game; a first calculator configured to calculate a first index related to a degree of an influence by one of the plurality of players to another player and a second index related to a mental load of the one player, from biological information corresponding to the one player; and a second calculator configured to calculate a contribution degree of the one player from the first index and the second index and from the game data.