Motor Task Skill Assessment Using Speed, Precision, And Variability
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Solution Overview
Problem
Existing performance metrics in video games, particularly first-person shooter (FPS) games, lack reliability and accuracy for assessing individual player skill, leading to inconsistent rankings and ineffective training, as they often confound player ability with team performance.
Innovation Solution
A system and method to measure motor acuity by determining speed, precision, and variability of player input, using statistical analysis to create a best-fit line and curve comparison, adjusting input device settings based on performance metrics to enhance skill assessment and training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional team-based performance metrics (kill-death ratio, damage dealt, win-rate) are used to assess player skill, then team performance can be evaluated, but individual player skill cannot be reliably distinguished from team coordination and teammate ability
Solution Approach 1:
The patent segments the evaluation of player performance by isolating individual motor skills (flicking speed, accuracy, precision) from team-based outcomes. This is achieved through automated tracking of crosshair movement metrics that capture individual player actions independently of team coordination or teammate performance, allowing reliable assessment of individual skill contributions.
Solution Approach 2:
The system provides automated feedback by continuously monitoring and measuring specific motor skills (flicking movements, aim precision, reaction time) and comparing them against established benchmarks. This feedback mechanism enables players to understand their individual skill levels without the confounding influence of team performance variables.
2Adaptability or versatility
If established visuomotor psychophysics research is applied to FPS gaming, then general motor skills can be measured, but FPS-specific performance characteristics are not captured
Solution Approach 1:
The patent applies local quality by adapting measurement metrics specifically for FPS gaming contexts. Instead of using general visuomotor measures, the system tracks FPS-specific actions such as crosshair flicking movements, target acquisition time, and shot placement accuracy within the gaming environment, thereby capturing discipline-specific performance characteristics.
Solution Approach 2:
The system dynamically adjusts measurement parameters to match FPS gameplay conditions, tracking real-time crosshair movements and shot outcomes during actual gaming scenarios rather than static laboratory tasks. This allows the measurement system to adapt to the dynamic nature of competitive FPS play while maintaining scientific rigor.
Data Source
AI summary
A system and method may adjust the evaluation of input signals from an input device used by a game player, based on performance or motor acuity. A relationship or mapping between computer input device input and movement within a virtual environment may be adjusted based on the performance metric. An embodiment may measure or calculate a performance metric or motor acuity in a person playing a computer game by determining, for different target types, speed of the player and one of precision, accuracy and variability of the player; and determining motor acuity based on the relationship between speed of the player and the precision, accuracy or variability. The calculation may be using a statistical analysis; and may be by creating a best-fit line in a comparison of speed and variability; and transforming the best-fit line to a curve in a comparison of player speed and player precision.