Karaoke Game Scoring Logic with Timing Offset Correction
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Solution Overview
Problem
Conventional video game systems penalize users for timing offsets in their responses, even if the sequence of actions is correct but offset in time, leading to poor scoring in games that require precise timing, such as karaoke games where users' musical timing may be off.
Innovation Solution
The system detects a timing offset between user actions and target actions, applying a timing correction to subsequent user actions to avoid penalizing users for initial timing errors, and includes scoring logic that varies tolerance based on the difficulty of pitch assessment and detects correlations at multiple possible timing offsets to set the optimal correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system strictly compares user actions with target actions at exact target times, then scoring precision is improved, but user experience deteriorates due to penalizing natural timing variations
Solution Approach 1:
The system performs preliminary detection of timing offset using an initial sequence of target actions and user actions before the main scoring phase. This preliminary action establishes a timing correction value that is then applied during subsequent scoring, allowing the system to maintain precision while accommodating natural timing variations.
Solution Approach 2:
The system dynamically adjusts the timing parameter by detecting the timing offset between user actions and target actions, then applying this offset as a correction to subsequent comparisons. This parameter change transforms the rigid timing comparison into a flexible one that adapts to individual user timing characteristics.
2Ease of operation
If the system applies timing correction to accommodate user timing variations, then user experience is improved, but scoring precision may deteriorate due to over-tolerance
Solution Approach 1:
The system applies timing correction selectively rather than universally. The correction is based on the detected timing offset from an initial sequence, and is applied as a relative displacement to subsequent user actions. This partial application of correction maintains precision for actions that are genuinely accurate while providing tolerance for those with systematic timing offsets.
Solution Approach 2:
The system uses feedback from the detected timing offset to adjust subsequent scoring comparisons. By continuously monitoring the relationship between user actions and corrected target times, the system can maintain appropriate scoring precision while accommodating timing variations.
3Reliability
If the system detects timing offset using an initial sequence of actions, then fairness is improved, but system complexity increases due to additional processing requirements
Solution Approach 1:
The system performs the complex timing offset detection as a preliminary action using an initial sequence before the main gameplay scoring. This separates the complexity of timing calibration from the routine scoring operations, making the overall system more manageable while ensuring fair scoring.
Solution Approach 2:
The system automatically detects and corrects timing offsets without requiring manual calibration or user input. The timing correction value is self-determined through analysis of user actions during an initial sequence, eliminating the need for external intervention and reducing operational complexity.
Data Source
AI summary
Game processing apparatus comprises means for indicating successive target actions to be executed by a user, each target action having an associated target time of execution; and scoring logic in which detected user actions are compared with the target actions, the storing logic comprising: an input arrangement by which user actions may be detected; means for comparing a detected sequence of user actions with a sequence of target actions; and means for detecting a timing offset between the sequence of user actions and a corresponding sequence of target actions; in which the comparison of subsequent user actions with respective target actions is arranged to apply the timing offset as a relative displacement between the detected user actions and the target times.