Gameplay Lane Probability Switching for Balanced Visual Activity
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Solution Overview
Problem
Existing computer game implementations face challenges in balancing visual activity and win probability across game lanes with varying win outcomes, particularly when lower-probability lanes receive fewer game blocks, leading to reduced visual engagement.
Innovation Solution
Implementing multiple block generation probabilities for each game lane, switching between higher and lower probabilities at intermediate thresholds to maintain visual activity while preserving overall win probability, and using dynamic generation mechanisms to enhance user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single block generation probability is used for each game lane, then the overall win probability is controlled, but visual activity is reduced in lower-probability lanes
Solution Approach 1:
The system dynamically switches between different block generation probabilities for each game lane based on the current block count. Each lane transitions from a first block generation probability (higher visual activity) to a second block generation probability (lower visual activity) when reaching an intermediate threshold, allowing the system to adapt visual engagement to gameplay progression while maintaining controlled overall win probabilities
Solution Approach 2:
The system changes the block generation probability parameter during gameplay based on the current state of each game lane. By switching between different probability values at intermediate thresholds, the system modifies the parameters of block generation to balance visual activity and win probability control for each lane
2Illumination intensity
If multiple block generation probabilities are switched at intermediate thresholds, then visual activity is maintained, but system complexity increases
Solution Approach 1:
The block generation process is segmented into different phases based on intermediate thresholds. Each game lane is divided into segments (below threshold, at/above threshold) with different generation probabilities, allowing the system to manage complexity by breaking down the continuous probability adjustment into discrete, manageable segments
Solution Approach 2:
The system pre-defines intermediate thresholds and associated probability switches for each game lane before gameplay begins. This preliminary configuration of probability parameters and thresholds reduces runtime complexity by eliminating the need for dynamic probability calculation during gameplay, as all switching points are predetermined
Data Source
AI summary
A computer game is rendered in a graphical user interface. A set-up view is rendered for selecting one or more game lanes from a set of game lanes. User input is received for selecting one of more one or more game lanes of the set of game lanes. A game initiation input is received, and a gameplay sequence is rendered by randomly populating each game lane with game blocks, until a termination condition is met, based on at least one block generation probability associated with the game lane. Upon termination of the gameplay sequence, a gameplay outcome is determined dependent on whether any selected game lane has reached a threshold number of game blocks.