Adaptive Game Complexity Assessment for Player Engagement
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Solution Overview
Problem
Existing electronic games face challenges in maintaining player engagement and skill level assessment, as adding numerous features can increase complexity, leading to player confusion and disinterest.
Innovation Solution
Implement a player experience model and game complexity model to dynamically adjust game features and tutorials based on player engagement and skill levels, using AI to track and refine player behavior, and provide personalized game enhancements or tutorials as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If every single feature is added to the game, then player engagement is improved, but game complexity increases to the extent that players might have a hard time understanding the game
Solution Approach 1:
The patent implements dynamic adjustment of game features based on real-time player engagement levels. The system monitors player behavior and automatically enables or disables game features to maintain optimal engagement without overwhelming the player, thus adapting game complexity to individual player needs rather than presenting all features simultaneously
Solution Approach 2:
The system applies different levels of feature presentation to different players based on their individual engagement levels and skill assessments. Instead of a uniform approach, each player receives a customized game experience where features are selectively enabled or disabled according to their specific needs, allowing high-engagement players to see more features while protecting lower-engagement players from complexity
2Duration of action of moving object
If the game maintains high complexity with many features, then player engagement can be maintained, but players may not like to keep on playing due to difficulty understanding
Solution Approach 1:
The system continuously monitors player engagement metrics and provides feedback loops to adjust game presentation. By tracking player responses and engagement levels in real-time, the system can identify when a player is becoming overwhelmed and automatically simplify the game presentation, ensuring long-term retention by preventing player frustration
Solution Approach 2:
The system performs preliminary assessment of player skill levels and engagement preferences before fully presenting the game complexity. By pre-evaluating player capabilities and gradually introducing features, the system prepares players for complex gameplay without overwhelming them initially, thereby extending retention time while maintaining understandability
Data Source
AI summary
Embodiments of the present disclosure are directed to operating an electronic game. According to one embodiment, a method for operating an electronic game can comprise maintaining a player experience model defining a plurality of factors indicating player engagement with the electronic game. Information related to activity of a player of the electronic game can be received from a gaming system during execution of the electronic game on the gaming system. A player engagement level can be determined based on the received information related to the activity of the player and the player experience model. In response to the determined player engagement level being less than a predetermined threshold, an instruction can be provided to the gaming system to enable an additional, new feature in the electronic game.