Arousal–Performance Curve: The Yerkes-Dodson Law
Interactive 3D model of the Yerkes-Dodson law: watch an athlete's performance rise and fall with physiological arousal, see how the optimal-arousal zone narrows and shifts for harder tasks, and run trials to see nerve-driven variability.
Sport psychology's best-known finding is that performance is not a straight line against effort or nerves — it is an inverted U. This simulator renders that relationship as a live 3D surface: one axis is physiological arousal, the other is task complexity, and the height of the surface is predicted performance under the Yerkes-Dodson law, sharpened by the Easterbrook cue-utilisation effect that narrows and shifts the optimal zone for harder tasks. Drag the arousal slider and watch a marker climb toward peak performance, overshoot into the choking zone, or run repeated noisy trials to see how much of a given outcome is signal versus nerve-driven scatter.
An interactive 3D model of the Yerkes-Dodson law: watch an athlete's performance rise and fall with physiological arousal, see the optimal-arousal zone narrow and shift for harder tasks, and run noisy trials to see nerve-driven variability.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install